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0.004499648094177246, 0.004526080131530762, 0.004526144027709961, 0.004493120193481445, 0.004451744079589844, 0.004432608127593994, 0.0045008320808410645, 0.004616511821746826, 0.004632224082946777, 0.004700575828552246, 0.004629055976867676, 0.004712063789367676, 0.0046382398605346676, 0.004542816162109375, 0.004603712081909179, 0.004577439785003662, 0.004495552062988281, 0.004445536136627197, 0.00443990421295166, 0.004432799816131591, 0.004435935974121094, 0.004525087833404541, 0.0044720001220703125, 0.00439305591583252, 0.004398784160614014, 0.004361536026000977, 0.004338367938995362, 0.0045378880500793455, 0.004510176181793213, 0.004474944114685059, 0.0044867520332336425]",tokens/s,220.218985264759,,,
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,distilbert/distilgpt2,distilbert/distilgpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,distilbert/distilgpt2,distilbert/distilgpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,distilbert/distilgpt2,distilbert/distilgpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,distilbert/distilgpt2,distilbert/distilgpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,1895.972864,2715.680768,0.0,2329.935872,2292.903424,s,1,11.1633642578125,11.1633642578125,0.0,11.1633642578125,11.1633642578125,11.1633642578125,11.1633642578125,[11.1633642578125],,kWh,5.310302582083182e-05,5.8503506570090226e-06,1.5650568075994964e-05,7.46039445538358e-05,,MB,2048.28672,2847.801344,0.0,2430.599168,2384.184832,s,10,1.3610313262939453,0.13610313262939452,0.0004781361967596805,0.1360871658325195,0.13664994201660155,0.13679170684814454,0.1369051187133789,"[0.13631954956054687, 0.13530755615234374, 0.1356815643310547, 0.13661843872070312, 0.13594691467285155, 0.13583110046386718, 0.1362274169921875, 0.13565901184082033, 0.1369334716796875, 0.1365063018798828]",tokens/s,1880.9265815878146,kWh,4.055303671238506e-06,4.471386905264353e-07,2.691387183972265e-06,7.193829545737207e-06,tokens/kWh,35586053.07123186,MB,2056.175616,2877.161472,0.0,2459.959296,2390.977024,s,10,31.311693847656247,3.131169384765625,0.02220496981613575,3.1342395019531253,3.153752734375,3.1627068115234374,3.1698700732421874,"[3.13244677734375, 3.10662060546875, 3.151762939453125, 3.171660888671875, 3.14071240234375, 3.1173271484375, 3.100508056640625, 3.1360322265625, 3.149520263671875, 3.1051025390625]",tokens/s,20.120278483342315,kWh,9.105606609126154e-05,1.0043635197919252e-05,4.1703092776027634e-05,0.00014280279406520845,tokens/kWh,441167.83857346745,,s,630,31.309724002838117,0.049697974607679586,0.0007609546981276979,0.049537792205810546,0.05057697525024414,0.051004879379272464,0.05274876079559328,"[0.049755615234375, 0.04923865509033203, 0.048844478607177735, 0.04902540969848633, 0.0491682243347168, 0.04907417678833008, 0.049960960388183595, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 1047, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 890, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 366, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 1047, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 890, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 366, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 1047, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 890, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 366, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.13633702087402344]",tokens/s,1879.1970003487058,kWh,4.05406274259253e-06,4.470868759578211e-07,2.6862714391389205e-06,7.18742105768927e-06,tokens/kWh,35617782.504355334,MB,1999.044608,2877.161472,0.0,2459.959296,2390.977024,s,10,29.333292968749998,2.9333292968749998,0.03348032385115024,2.9431298828125,2.9752155761718746,2.9753485107421875,2.9754548583984377,"[2.947513427734375, 2.90059375, 2.938746337890625, 2.91302392578125, 2.876139892578125, 2.894212158203125, 2.963922607421875, 2.948473388671875, 2.9754814453125, 2.97518603515625]",tokens/s,21.477302281444015,kWh,8.515815635282347e-05,9.392951494166061e-06,3.984087369366045e-05,0.00013439198154064998,tokens/kWh,468777.96783541125,,s,630,29.331110233306877,0.046557317830645845,0.0010496275801741895,0.04646590423583984,0.04767670440673828,0.04807800559997558,0.0502185495376587,"[0.05121007919311524, 0.04676198577880859, 0.04595619201660156, 0.04596963119506836, 0.046577919006347654, 0.04548448181152344, 0.045395969390869144, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma2,google/gemma-2-2b,google/gemma-2-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 1047, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 890, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma2/modeling_gemma2.py"", line 366, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2200.715264,2914.910208,0.0,2512.388096,2240.694784,s,1,9.4992939453125,9.4992939453125,0.0,9.4992939453125,9.4992939453125,9.4992939453125,9.4992939453125,[9.4992939453125],,kWh,6.661917307498394e-05,7.341286538706019e-06,2.733807742599792e-05,0.00010129853703968789,,MB,2019.04128,2931.687424,0.0,2514.485248,2226.413568,s,10,12.133697265625,1.2133697265625,0.002490970584605167,1.2138874511718751,1.2158770874023437,1.216111700439453,1.2162993908691406,"[1.208701904296875, 1.210319580078125, 1.2125035400390625, 1.2113226318359376, 1.2129737548828126, 1.2148011474609375, 1.215095947265625, 1.2158074951171876, 1.215824951171875, 1.2163463134765624]",tokens/s,210.98268268588913,kWh,3.5573517708755084e-05,3.923278561513023e-06,2.3611352222396853e-05,6.310814849266495e-05,tokens/kWh,4056528.4533700882,MB,2020.53632,2931.687424,0.0,2514.485248,2337.090048,s,10,14.856078125,1.4856078125,0.003209220801273441,1.4851223754882812,1.4885975219726562,1.4906019226074219,1.4922054431152345,"[1.4841192626953126, 1.4819937744140625, 1.48783544921875, 1.4851070556640624, 1.488152099609375, 1.4817113037109375, 1.4869462890625, 1.4851376953125, 1.4824688720703125, 1.4926063232421876]",tokens/s,42.40688522900454,kWh,4.350714711582894e-05,4.7991829750973685e-06,2.66758824518043e-05,7.498221254273064e-05,tokens/kWh,840199.2667807414,,s,630,14.853321687698365,0.023576701091584707,0.00038874042169081437,0.023452799797058103,0.02396704902648926,0.02432166118621826,0.025203486328125,"[0.024897632598876954, 0.024321920394897462, 0.02348259162902832, 0.023558143615722657, 0.02347007942199707, 0.023492416381835936, 0.02327571105957031, 0.023598495483398436, 0.02341651153564453, 0.02334617614746094, 0.023355295181274414, 0.023343103408813477, 0.023658496856689453, 0.023683263778686525, 0.023823904037475585, 0.023396703720092775, 0.02360313606262207, 0.023496383666992186, 0.023322368621826173, 0.023406496047973634, 0.02329871940612793, 0.02358585548400879, 0.02350713539123535, 0.023570751190185545, 0.023423423767089845, 0.023480319976806642, 0.023393375396728516, 0.02346691131591797, 0.02369945526123047, 0.023516832351684572, 0.023547712326049804, 0.023534112930297852, 0.023362655639648438, 0.023536544799804687, 0.023605056762695312, 0.023557504653930663, 0.023333696365356444, 0.02337763214111328, 0.02336387252807617, 0.02342678451538086, 0.023314720153808595, 0.023443519592285158, 0.023358591079711916, 0.02363680076599121, 0.023397567749023438, 0.02340447998046875, 0.023180160522460937, 0.0233123836517334, 0.023184511184692384, 0.023487232208251954, 0.02345587158203125, 0.0241213436126709, 0.023572479248046875, 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0.023301855087280273, 0.023240480422973633, 0.02329417610168457, 0.023277183532714844, 0.023226591110229493, 0.0232587833404541, 0.023361248016357423, 0.023857952117919922, 0.023506975173950194, 0.023260576248168945, 0.023321151733398438, 0.02326323127746582, 0.02322553634643555, 0.023190336227416994, 0.02331158447265625, 0.023355775833129883, 0.023422847747802733, 0.02339484786987305, 0.023589120864868165, 0.023910144805908203, 0.023791135787963866, 0.023673311233520507, 0.023682239532470704, 0.023538240432739256, 0.023550207138061524, 0.023305440902709963, 0.02333161544799805, 0.02330806350708008, 0.023478496551513673, 0.023742719650268553, 0.023502592086791993, 0.023352767944335936, 0.024005184173583983, 0.023416608810424806, 0.02344905662536621, 0.0235784969329834, 0.023384672164916992, 0.023427391052246095, 0.023469152450561522, 0.02327231979370117, 0.024143871307373048, 0.025579423904418946, 0.023895872116088866, 0.02367830467224121, 0.024846368789672852, 0.023966047286987306, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2201.710592,2206.072832,0.0,1820.327936,1730.89792,s,1,8.824205078125,8.824205078125,0.0,8.824205078125,8.824205078125,8.824205078125,8.824205078125,[8.824205078125],,kWh,4.9560551074955586e-05,5.459665444843831e-06,1.649695764199821e-05,7.151717416179763e-05,,MB,2284.023808,2350.77632,0.0,1935.671296,1893.8368,s,10,1.6837865905761717,0.1683786590576172,0.00047206260861695234,0.16845658874511718,0.16881590576171876,0.1689777618408203,0.16910724670410157,"[0.16791337585449218, 0.16845890808105468, 0.16845426940917968, 0.16850901794433593, 0.16839389038085936, 0.168408447265625, 0.16846163940429687, 0.16913961791992188, 0.16877993774414063, 0.16726748657226562]",tokens/s,1520.3826983347087,kWh,4.989181887923367e-06,5.50217370396802e-07,3.3060243020674218e-06,8.845423560387592e-06,tokens/kWh,28941519.674246386,MB,2290.536448,2499.674112,0.0,2082.471936,1953.434112,s,10,16.23874475097656,1.6238744750976561,0.0036601242243363926,1.6236317749023437,1.629042138671875,1.6295904663085936,1.6300291284179687,"[1.6289202880859375, 1.6224979248046876, 1.623896484375, 1.6233670654296875, 1.6200091552734375, 1.6301387939453125, 1.6256204833984376, 1.6250142822265625, 1.6171944580078126, 1.6220858154296875]",tokens/s,38.79610214096833,kWh,4.7533203409162066e-05,5.242655204766752e-06,2.8737306888133883e-05,8.151316550206271e-05,tokens/kWh,772881.2838020107,,s,630,16.235946065902727,0.02577134296175033,0.00040555064998865986,0.025671184539794924,0.026128869819641114,0.026308357238769533,0.027710485343933115,"[0.02779136085510254, 0.02625926399230957, 0.02905721664428711, 0.026171392440795898, 0.026058496475219725, 0.02569203186035156, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,883.01568,566.099968,0.0,163.577856,152.009216,s,1,7.5829443359375,7.5829443359375,0.0,7.5829443359375,7.5829443359375,7.5829443359375,7.5829443359375,[7.5829443359375],,kWh,1.3643450479124416e-05,1.4977545126297604e-06,3.8000030400109353e-06,1.894120803176511e-05,,MB,1306.075136,618.528768,0.0,201.326592,184.525824,s,24,0.29870195007324224,0.01244591458638509,0.0002598817261230951,0.012394591808319092,0.01244597110748291,0.012474417924880982,0.013405029973983764,"[0.013682111740112305, 0.01245747184753418, 0.012393280029296875, 0.01235750389099121, 0.012378687858581544, 0.012387616157531738, 0.012347423553466796, 0.012362048149108887, 0.012351552009582519, 0.012408608436584473, 0.012410623550415039, 0.012327679634094238, 0.012392160415649413, 0.012363519668579102, 0.012375679969787598, 0.012401727676391602, 0.012416064262390137, 0.012368000030517579, 0.012410143852233886, 0.012415007591247558, 0.012477408409118653, 0.012402591705322265, 0.01241913604736328, 0.012395903587341309]",tokens/s,20568.998623857267,kWh,4.2151395084180903e-07,4.64854824938354e-08,2.7927631769705314e-07,7.472757510326976e-07,tokens/kWh,342577689.2214431,MB,1345.29024,618.528768,0.0,201.326592,184.528384,s,24,9.824048706054686,0.40933536275227866,0.002341896151791663,0.40882608032226564,0.4114652099609375,0.41381431884765624,0.4163699331665039,"[0.41422308349609377, 0.41149798583984376, 0.40861111450195314, 0.4090404357910156, 0.41701119995117186, 0.40913986206054687, 0.40840960693359374, 0.40775872802734375, 0.407572998046875, 0.40898876953125, 0.4087735595703125, 0.4097675476074219, 0.40657199096679686, 0.40865603637695314, 0.40887860107421875, 0.4110265808105469, 0.4079571533203125, 0.40654592895507813, 0.4094146423339844, 0.4062956237792969, 0.41138873291015626, 0.4097418212890625, 0.40811196899414065, 0.40866473388671876]",tokens/s,153.90803173320333,kWh,1.1708453195657936e-05,1.291251518732506e-06,4.551349769021084e-06,1.7551054483411525e-05,tokens/kWh,3589527.914664318,,s,1512,9.81288854789734,0.006490005653371257,0.0001575204779432784,0.006465407848358154,0.006551609754562379,0.006620875263214111,0.006983601450920105,"[0.008212479591369629, 0.008652671813964844, 0.007383200168609619, 0.006709216117858886, 0.006612703800201416, 0.006555935859680176, 0.006750207901000976, 0.006494207859039307, 0.006618912220001221, 0.006439136028289795, 0.006454559803009033, 0.0064683198928833004, 0.006461440086364746, 0.006461184024810791, 0.006447296142578125, 0.006471744060516357, 0.006449151992797852, 0.0064839677810668945, 0.0064430079460144046, 0.006466976165771484, 0.006509183883666992, 0.006501471996307373, 0.006495071887969971, 0.0064966402053833, 0.006557343959808349, 0.006432767868041992, 0.006450175762176514, 0.00645849609375, 0.006589888095855713, 0.006470047950744629, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7422.926848,7815.954432,0.0,7430.209536,7414.23104,s,1,11.5931337890625,11.5931337890625,0.0,11.5931337890625,11.5931337890625,11.5931337890625,11.5931337890625,[11.5931337890625],,kWh,0.0001317410172457888,1.4524865825930464e-05,4.455086897400817e-05,0.00019081675204572746,,MB,1761.787904,8581.414912,0.0,8166.309888,8044.111872,s,10,8.190297790527342,0.8190297790527344,0.003589906739423247,0.8196229858398438,0.8220453063964843,0.8221088348388672,0.8221596575927734,"[0.809703125, 0.8159363403320312, 0.819736572265625, 0.8220311889648437, 0.8195093994140625, 0.82217236328125, 0.8214393310546875, 0.821601318359375, 0.8194581909179688, 0.8187099609375]",tokens/s,312.5649476336282,kWh,2.383622019647541e-05,2.628726519947484e-06,1.5790119469691118e-05,4.225506618611401e-05,tokens/kWh,6058445.131110161,MB,1761.787904,8749.187072,0.0,8334.082048,8265.758208,s,10,33.48306030273437,3.348306030273437,0.0011582199854532499,3.348733642578125,3.349405810546875,3.3495796142578125,3.3497186572265627,"[3.3458291015625, 3.3472412109375, 3.3472548828125, 3.348966552734375, 3.34923779296875, 3.3493671875, 3.348639404296875, 3.34975341796875, 3.34794287109375, 3.348827880859375]",tokens/s,18.81548443612699,kWh,9.767525763310868e-05,1.077416827946904e-05,6.505911187630907e-05,0.0001735085377888868,tokens/kWh,363094.52435507264,,s,630,33.479189311981244,0.053141570336478094,0.0006600403183592957,0.05310464096069336,0.05380537414550782,0.05396999835968017,0.056340752792358416,"[0.056604030609130856, 0.05339708709716797, 0.05247488021850586, 0.052307968139648435, 0.05207859039306641, 0.052028736114501956, 0.052245185852050784, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3861.438464,5376.966656,0.0,4974.444544,4685.071872,s,1,11.2868056640625,11.2868056640625,0.0,11.2868056640625,11.2868056640625,11.2868056640625,11.2868056640625,[11.2868056640625],,kWh,0.00012178265385412032,1.3426059798512069e-05,5.182393034799948e-05,0.00018703264400063186,,MB,2164.14208,5410.521088,0.0,4993.318912,4233.626624,s,10,1.9413089294433592,0.19413089294433591,0.00027301655373829735,0.1941623001098633,0.19443526000976563,0.19445930633544922,0.1944785433959961,"[0.19367304992675782, 0.1944833526611328, 0.19418611145019532, 0.193955078125, 0.1938379211425781, 0.19442991638183593, 0.19385311889648438, 0.19432591247558595, 0.19413848876953124, 0.1944259796142578]",tokens/s,1318.6978956172838,kWh,5.7364405600494705e-06,6.325129958494147e-07,3.79123941643139e-06,1.0160192972330275e-05,tokens/kWh,25196371.830454074,MB,2175.328256,5410.521088,0.0,4993.318912,4337.11872,s,10,22.240558837890628,2.2240558837890627,0.009091044261655972,2.2245233154296873,2.2351972656249997,2.2358004150390625,2.2362829345703124,"[2.236403564453125, 2.22001123046875, 2.2236669921875, 2.22770703125, 2.211339111328125, 2.21260693359375, 2.213503662109375, 2.225379638671875, 2.23487744140625, 2.235063232421875]",tokens/s,28.326626349275287,kWh,6.49894395074494e-05,7.168345979978839e-06,3.816212747956844e-05,0.00011031991296699668,tokens/kWh,571066.4403700816,,s,630,22.237560539245596,0.03529771514165969,0.0005314413029271096,0.035199377059936525,0.035715160751342775,0.035988059997558594,0.036827805366516114,"[0.035760128021240234, 0.035883007049560545, 0.035573760986328126, 0.03540787124633789, 0.035416065216064455, 0.035168254852294925, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,916.205568,645.791744,0.0,260.046848,253.883392,s,1,7.66553662109375,7.66553662109375,0.0,7.66553662109375,7.66553662109375,7.66553662109375,7.66553662109375,[7.66553662109375],,kWh,1.5644842033331466e-05,1.7184331225910374e-06,4.820003856043087e-06,2.218327901196559e-05,,MB,1280.917504,756.9408,0.0,341.835776,312.754176,s,16,0.1817112636566162,0.011356953978538514,8.128927567747061e-05,0.011335920333862305,0.011469647884368897,0.011498096227645874,0.011538301038742066,"[0.011202591896057129, 0.01128172779083252, 0.011407039642333984, 0.011354463577270508, 0.01148134422302246, 0.011346400260925293, 0.011324704170227051, 0.011457951545715332, 0.01132367992401123, 0.011303775787353516, 0.011548352241516114, 0.011348159790039062, 0.011304863929748535, 0.011325440406799316, 0.011385472297668457, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3756.392448,4378.722304,0.0,3992.977408,3875.045888,s,1,9.8596025390625,9.8596025390625,0.0,9.8596025390625,9.8596025390625,9.8596025390625,9.8596025390625,[9.8596025390625],,kWh,7.826191788330258e-05,8.625795021579568e-06,2.6490021191996616e-05,0.00011337773409687877,,MB,1925.443584,4603.117568,0.0,4188.012544,4099.58912,s,10,3.0957692565917965,0.30957692565917966,0.003570036092416834,0.31060455322265623,0.3130186370849609,0.31367777557373044,0.3142050863647461,"[0.30433880615234377, 0.31193292236328124, 0.30542306518554685, 0.3125439453125, 0.30390496826171876, 0.31012008666992186, 0.3143369140625, 0.3110890197753906, 0.3092073669433594, 0.31287216186523437]",tokens/s,826.935016086555,kWh,8.980704409091597e-06,9.90416978918037e-07,5.9876226352121344e-06,1.5958744023221768e-05,tokens/kWh,16041362.630260326,MB,1925.443584,4710.07232,0.0,4292.870144,4197.764096,s,10,22.939639648437502,2.2939639648437504,0.003656954076743619,2.2940338134765623,2.2972066162109375,2.298715368652344,2.299922370605469,"[2.296842529296875, 2.294723876953125, 2.29334375, 2.296871337890625, 2.291328857421875, 2.28712548828125, 2.30022412109375, 2.296737548828125, 2.2916650390625, 2.290777099609375]",tokens/s,27.463378224553384,kWh,6.727438088715911e-05,7.420358655816667e-06,4.42063341865872e-05,0.00011890107372956296,tokens/kWh,529852.2378636518,,s,630,22.936604812622093,0.036407309226384243,0.00047154736759290637,0.03631649589538574,0.036648781967163084,0.036917424011230465,0.03914371829986574,"[0.03883993530273438, 0.040167617797851565, 0.03654070281982422, 0.03626803207397461, 0.036257793426513675, 0.03620451354980469, 0.03615103912353516, 0.03663276672363281, 0.03627420806884766, 0.03629062271118164, 0.036245502471923825, 0.03624915313720703, 0.03633359909057617, 0.03628819274902344, 0.036238048553466795, 0.03629859161376953, 0.036219200134277346, 0.036480510711669925, 0.036386497497558595, 0.03624736022949219, 0.036161376953125, 0.03618304061889648, 0.03608083343505859, 0.036203006744384765, 0.03613113784790039, 0.036155391693115234, 0.03583180618286133, 0.035770336151123044, 0.0357061767578125, 0.036165374755859375, 0.03597820663452148, 0.03593401718139649, 0.03618431854248047, 0.03928057479858398, 0.03636547088623047, 0.03632624053955078, 0.03607062530517578, 0.03619952011108398, 0.03618492889404297, 0.036391712188720705, 0.03730255889892578, 0.038101119995117186, 0.0364950065612793, 0.03633356857299805, 0.03621017456054688, 0.036186622619628905, 0.03619635009765625, 0.0361267204284668, 0.03689267349243164, 0.03634128189086914, 0.036123104095458984, 0.03639910507202149, 0.03632332611083984, 0.03641350555419922, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,920.92416,698.220544,0.0,295.698432,277.263872,s,1,7.637330078125,7.637330078125,0.0,7.637330078125,7.637330078125,7.637330078125,7.637330078125,[7.637330078125],,kWh,1.7258002066743454e-05,1.8964579322763058e-06,5.811949093992297e-06,2.4966409093012054e-05,,MB,1301.106688,752.746496,0.0,335.54432,312.39168,s,17,0.6788023033142089,0.039929547253776995,0.001641969387338302,0.03968115234375,0.04038382110595703,0.041533716583251945,0.044981380157470705,"[0.04584329605102539, 0.04004419326782226, 0.04033548736572266, 0.040085983276367185, 0.04045632171630859, 0.03968115234375, 0.03963561630249023, 0.04014380645751953, 0.03944192123413086, 0.03909215927124023, 0.03880585479736328, 0.038991455078125, 0.04028947067260742, 0.04014211273193359, 0.03963916778564453, 0.0382562255859375, 0.0379180793762207]",tokens/s,6411.292328785034,kWh,1.4213595445794763e-06,1.5674503308794648e-07,9.488559370777636e-07,2.5269605147451864e-06,tokens/kWh,101307479.2843823,MB,1314.496512,780.009472,0.0,362.807296,312.39424,s,17,9.942083923339844,0.5848284660788143,0.0014426401086585952,0.584994873046875,0.5867971801757813,0.58686884765625,0.58688783203125,"[0.584994873046875, 0.5853904418945313, 0.585811767578125, 0.5840001220703125, 0.5867533569335938, 0.5836983642578125, 0.5844157104492187, 0.5854854736328124, 0.586892578125, 0.5830146484375, 0.582984619140625, 0.5819075927734375, 0.5837880249023437, 0.5841383666992187, 0.58593798828125, 0.586007080078125, 0.5868629150390625]",tokens/s,107.72389453339265,kWh,1.6692769911301947e-05,1.8406650757018702e-06,6.877490193276999e-06,2.5410925180280815e-05,tokens/kWh,2479248.5733218705,,s,1071,9.933967778205872,0.009275413425028824,0.00013982563431464266,0.009250816345214843,0.0093635196685791,0.009433551788330078,0.009863523101806637,"[0.00922214412689209, 0.00934502410888672, 0.009274944305419922, 0.009263551712036133, 0.009225215911865235, 0.009187775611877442, 0.00935910415649414, 0.00923731231689453, 0.009220383644104003, 0.009344096183776856, 0.00924460792541504, 0.00920851230621338, 0.009202879905700683, 0.00921878433227539, 0.009227904319763183, 0.009251296043395996, 0.009275391578674316, 0.009236479759216308, 0.009249792098999024, 0.009294848442077636, 0.00923033618927002, 0.009273183822631837, 0.009218175888061524, 0.00924454402923584, 0.009213151931762696, 0.009226847648620605, 0.009189375877380371, 0.009234687805175782, 0.009207903861999512, 0.009252448081970215, 0.009329055786132813, 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0.009212736129760743, 0.009302016258239745, 0.009301983833312988, 0.009248191833496094, 0.009235136032104492, 0.009260160446166992, 0.009222111701965331, 0.009261055946350098, 0.009247903823852538, 0.009254176139831543, 0.00928713607788086, 0.009249695777893066, 0.009268544197082519, 0.009435839653015136, 0.009277440071105958, 0.009244192123413085, 0.009250944137573242, 0.009276063919067382, 0.009287615776062012, 0.009422592163085938, 0.009327936172485351, 0.009227295875549317, 0.009345727920532227, 0.009309120178222656, 0.009343135833740234, 0.009333951950073242, 0.00937820816040039, 0.00934227180480957, 0.009653375625610352, 0.00931004810333252, 0.009283072471618652, 0.009541567802429199, 0.009402272224426269, 0.009472800254821776, 0.009332096099853516, 0.009292032241821289, 0.009248703956604003, 0.009283552169799805, 0.009371999740600587, 0.009228287696838379, 0.009183232307434081, 0.009181183815002441, 0.009267104148864747]",tokens/s,107.81190596869727,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1575.518208,1553.85856,0.0,1168.113664,1154.613248,s,1,8.24820703125,8.24820703125,0.0,8.24820703125,8.24820703125,8.24820703125,8.24820703125,[8.24820703125],,kWh,3.59541925457961e-05,3.958747977288742e-06,1.1608620397979275e-05,5.152156092106412e-05,,MB,1538.105344,1803.419648,0.0,1388.314624,1334.065152,s,10,0.822135154724121,0.0822135154724121,0.0011367801441087067,0.08241635131835937,0.08311858291625976,0.08346444282531738,0.08374113075256347,"[0.083810302734375, 0.08225411224365234, 0.08175830078125, 0.0830417251586914, 0.08301187133789062, 0.07933782196044922, 0.0817305908203125, 0.0825785903930664, 0.08199964904785156, 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0.027565727233886717, 0.027652191162109374, 0.027551647186279296, 0.028565439224243164, 0.02823379135131836, 0.02837708854675293, 0.028059968948364256, 0.027914079666137695, 0.02775257682800293, 0.027695039749145507, 0.027883039474487305, 0.027739391326904297, 0.02774870491027832, 0.027849695205688477, 0.02763488006591797, 0.027557600021362306, 0.027643999099731444, 0.02749238395690918, 0.02770569610595703, 0.02770787239074707, 0.027588735580444335, 0.027639423370361328, 0.027684959411621093, 0.027967487335205078, 0.027502592086791993, 0.027762432098388672]",tokens/s,36.088354290112406,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1015, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 840, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 467, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 397, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1051.582464,972.947456,0.0,570.425344,536.326656,s,1,9.2602236328125,9.2602236328125,0.0,9.2602236328125,9.2602236328125,9.2602236328125,9.2602236328125,[9.2602236328125],,kWh,3.138963327501187e-05,3.452039131413579e-06,1.1390564668034564e-05,4.623223707446001e-05,,MB,1425.42848,1042.153472,0.0,624.951296,594.377728,s,10,0.2707039680480957,0.02707039680480957,0.0001303903956057068,0.027032320022583007,0.027273387908935545,0.027319813728332518,0.027356954383850097,"[0.02695881652832031, 0.027027008056640624, 0.02703763198852539, 0.02696041679382324, 0.02695564842224121, 0.027008991241455078, 0.02708336067199707, 0.027263071060180662, 0.02736623954772949, 0.027042783737182618]",tokens/s,9456.824805557218,kWh,7.977514700365241e-07,8.793662234398146e-08,5.256743731804064e-07,1.4113624655609118e-06,tokens/kWh,181385013.59270525,MB,1466.765312,1056.833536,0.0,639.63136,607.71072,s,10,14.476691772460939,1.447669177246094,0.006819174967382823,1.4474523315429688,1.4553603393554688,1.4558354431152343,1.4562155261230467,"[1.4360029296875, 1.4552547607421875, 1.4437486572265625, 1.4437213134765625, 1.438738037109375, 1.4458489990234376, 1.4544759521484374, 1.4490556640625, 1.456310546875, 1.453534912109375]",tokens/s,43.51822984851078,kWh,4.251283650913542e-05,4.68870732792238e-06,1.6312172430421936e-05,6.351371626747974e-05,tokens/kWh,991911.7271406968,,s,630,14.47117685127259,0.022970121986146955,0.0004391296317252733,0.022879631996154785,0.02328590793609619,0.023497274684906005,0.024922882995605477,"[0.0223287353515625, 0.022706687927246092, 0.02266963195800781, 0.02286582374572754, 0.02264396858215332, 0.02272857666015625, 0.0226942081451416, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7422.939136,9464.315904,0.0,9061.793792,8463.626752,s,1,14.282189453125,14.282189453125,0.0,14.282189453125,14.282189453125,14.282189453125,14.282189453125,[14.282189453125],,kWh,0.00020822446782082504,2.2961068328723633e-05,9.519507615599054e-05,0.0003263806123055392,,MB,1755.471872,9478.995968,0.0,9061.793792,7981.246464,s,10,59.8304462890625,5.983044628906251,0.007914517241628114,5.9821706542968744,5.993629638671875,5.995847778320313,5.997622290039063,"[5.97485009765625, 5.97241748046875, 5.97657568359375, 5.981466796875, 5.97670849609375, 5.98287451171875, 5.9874775390625, 5.986873046875, 5.99313671875, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7365.615616,9680.32256,0.0,9277.800448,8679.633408,s,1,14.6065517578125,14.6065517578125,0.0,14.6065517578125,14.6065517578125,14.6065517578125,14.6065517578125,[14.6065517578125],,kWh,0.0002202249773500474,2.4275743730692758e-05,9.910480150601697e-05,0.00034360552258675715,,MB,1655.689216,9695.002624,0.0,9277.800448,8206.444544,s,10,3.7120443420410156,0.37120443420410154,0.0006681567095566875,0.3711235809326172,0.3720616821289063,0.3721268035888672,0.37217890075683596,"[0.3702177734375, 0.37020516967773437, 0.3708755798339844, 0.3708663330078125, 0.3710728759765625, 0.3720472106933594, 0.3718988037109375, 0.37219192504882814, 0.37117428588867185, 0.371494384765625]",tokens/s,689.646934172241,kWh,1.0856331238579672e-05,1.1968106982419532e-06,7.166312317407341e-06,1.9219454254228966e-05,tokens/kWh,13319837.10950954,MB,1662.369792,9695.002624,0.0,9277.800448,8483.104256,s,10,24.172592041015626,2.417259204101563,0.0015979727995271006,2.4176365966796873,2.4189665039062502,2.419009130859375,2.419043232421875,"[2.414333984375, 2.416475341796875, 2.41579931640625, 2.415375, 2.417224853515625, 2.41804833984375, 2.41895703125, 2.41856298828125, 2.4190517578125, 2.418763427734375]",tokens/s,26.062575289030946,kWh,7.055182806766771e-05,7.782042443606228e-06,4.702684214819368e-05,0.00012536071265946763,tokens/kWh,502549.79142575926,,s,630,24.168888195037855,0.03836331459529816,0.0003634643988102865,0.03837334442138672,0.038835912704467776,0.038894379234313964,0.038991026992797856,"[0.038518463134765625, 0.03791251373291016, 0.037675457000732424, 0.037698848724365235, 0.037688289642333984, 0.03775692749023438, 0.03774188613891601, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1015, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 840, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 467, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 397, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,6756.962304,9179.103232,0.0,8776.58112,8188.314112,s,1,14.1703427734375,14.1703427734375,0.0,14.1703427734375,14.1703427734375,14.1703427734375,14.1703427734375,[14.1703427734375],,kWh,0.00019324395340833384,2.130692485338129e-05,8.742868105399149e-05,0.0003019795593157066,,MB,1677.561856,9193.783296,0.0,8776.58112,7663.089664,s,10,54.29687890625,5.429687890625001,0.0037331231340487696,5.430859130859375,5.43243642578125,5.43279853515625,5.43308822265625,"[5.41960205078125, 5.42863818359375, 5.4275537109375, 5.43092138671875, 5.4316552734375, 5.430796875, 5.43316064453125, 5.43235595703125, 5.43214794921875, 5.430046875]",tokens/s,47.14819804689222,kWh,0.0001579229014475004,1.741932692939311e-05,0.00010502005623819755,0.0002803622846150911,tokens/kWh,913104.2727500312,MB,1688.039424,9193.783296,0.0,8776.58112,7906.289152,s,10,27.879911132812502,2.78799111328125,0.0014530938717368998,2.7884769287109377,2.7896196533203126,2.7896219604492187,2.7896238061523437,"[2.785320068359375, 2.78697119140625, 2.789624267578125, 2.788497314453125, 2.789508056640625, 2.78597216796875, 2.78735009765625, 2.78845654296875, 2.78859228515625, 2.789619140625]",tokens/s,22.596915642910307,kWh,8.145568311416655e-05,8.985223876190704e-06,5.4101404392201125e-05,0.00014454231138255852,tokens/kWh,435858.53441390325,,s,630,27.876565055847166,0.04424851596166217,0.0004372625950080227,0.044235198974609376,0.04467927398681641,0.04480108528137207,0.04601438064575196,"[0.046448768615722655, 0.04435424041748047, 0.04375699234008789, 0.04352057647705078, 0.04364262390136719, 0.04370832061767578, 0.04347110366821289, 0.04332515335083008, 0.04344473648071289, 0.04356620788574219, 0.04381577682495117, 0.0437410888671875, 0.044217376708984374, 0.04376470565795899, 0.04384486389160156, 0.04385065460205078, 0.04383119964599609, 0.043850719451904295, 0.043915679931640625, 0.04388083267211914, 0.0441776008605957, 0.04441292953491211, 0.04438544082641602, 0.04433804702758789, 0.04409955215454102, 0.0441995849609375, 0.04395043182373047, 0.04423884963989258, 0.04410988616943359, 0.04395206451416016, 0.043929214477539065, 0.04400892639160156, 0.04423158264160156, 0.0442531852722168, 0.04418073654174805, 0.04428057479858399, 0.044305950164794924, 0.04440111923217773, 0.04443260955810547, 0.04430108642578125, 0.044027904510498046, 0.044222015380859375, 0.04465913772583008, 0.044779582977294924, 0.04458444976806641, 0.044507423400878904, 0.04447817611694336, 0.04427798461914063, 0.04498179244995117, 0.044694206237792966, 0.04451062393188476, 0.04413872146606445, 0.04427999877929688, 0.04432915115356445, 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0.04423881530761719, 0.044498912811279295, 0.04498684692382812, 0.04414668655395508, 0.04449087905883789, 0.044619647979736325, 0.04453555297851562, 0.04432204818725586, 0.04439756774902344, 0.04447177505493164, 0.04460307312011719, 0.04442607879638672, 0.04419379043579102, 0.044174785614013674, 0.044374847412109376, 0.04436943817138672, 0.0445577278137207, 0.04436563110351562, 0.044329376220703126, 0.044560543060302736, 0.044681663513183596, 0.044447742462158206, 0.04455948638916016, 0.04456265640258789, 0.04465116882324219, 0.04598166275024414, 0.04439859390258789, 0.04376108932495117, 0.043690208435058595, 0.043534175872802734, 0.04338083267211914, 0.04345657730102539, 0.04372719955444336, 0.043732864379882816, 0.043665504455566405, 0.043699710845947266, 0.043902496337890624, 0.043762401580810545, 0.04376604843139648, 0.044072158813476564, 0.043916065216064455, 0.044323871612548825, 0.044264415740966796, 0.04414838409423828, 0.04413481521606445, 0.04424515151977539, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1496.080384,1830.682624,0.0,1428.160512,1322.516992,s,1,8.5152880859375,8.5152880859375,0.0,8.5152880859375,8.5152880859375,8.5152880859375,8.5152880859375,[8.5152880859375],,kWh,4.183571504583293e-05,4.607358800771167e-06,1.583779044803113e-05,6.228086429463523e-05,,MB,1461.583872,1851.654144,0.0,1434.451968,1322.072064,s,10,5.818452941894531,0.5818452941894531,0.002179254416891313,0.5811725158691406,0.5824312133789062,0.5853568725585937,0.5876973999023438,"[0.5882825317382813, 0.5803014526367187, 0.5811823120117188, 0.5811836547851562, 0.5808369140625, 0.5809910278320313, 0.5811627197265625, 0.5816063842773438, 0.5811248779296875, 0.5817810668945312]",tokens/s,439.9794972246429,kWh,1.733241638333436e-05,1.9114516805034928e-06,1.1507754304233924e-05,3.0751622368071776e-05,tokens/kWh,8324764.038003892,MB,1461.583872,1851.654144,0.0,1434.451968,1374.923264,s,10,11.087667236328125,1.1087667236328127,0.006146035786839412,1.1079638671875,1.1140128784179686,1.1178418884277344,1.1209050964355467,"[1.10992333984375, 1.1122777099609376, 1.1124521484375, 1.1131619873046874, 1.1216708984375, 1.1053837890625, 1.1043323974609376, 1.1037122802734376, 1.10600439453125, 1.098748291015625]",tokens/s,56.81988704854344,kWh,3.200213116916252e-05,3.5297630649601783e-06,1.728262983916726e-05,5.281452407328998e-05,tokens/kWh,1192853.6913932194,,s,630,11.082291168212901,0.017590938362242684,0.0004795568966315623,0.017467967987060545,0.017855353927612307,0.018274387931823725,0.01982349622726441,"[0.018621503829956056, 0.01792300796508789, 0.017632736206054687, 0.01755913543701172, 0.017441055297851563, 0.01742505645751953, 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0.02358822441101074, 0.023574239730834962, 0.023474624633789062, 0.023601696014404296, 0.02353318405151367, 0.0235064640045166, 0.023417055130004884, 0.02380188751220703, 0.023478879928588867, 0.0237476806640625, 0.025550815582275392, 0.02382863998413086, 0.0234749755859375, 0.02353152084350586, 0.023601152420043944, 0.02354380798339844, 0.023418655395507814, 0.023634143829345703, 0.02367897605895996, 0.023983360290527344, 0.023846879959106445, 0.02389891242980957, 0.023801279067993165, 0.023861824035644533, 0.023810047149658203, 0.02384681510925293, 0.02375801658630371, 0.023688095092773438, 0.02370355224609375, 0.023738367080688477, 0.02370137596130371, 0.023793792724609374, 0.023738367080688477, 0.023908351898193358, 0.023799072265625, 0.0238799991607666, 0.023925119400024415, 0.02567795181274414, 0.026193824768066407, 0.02435264015197754, 0.02408255958557129, 0.02395955276489258, 0.024145919799804686, 0.02387763214111328, 0.02370476722717285, 0.02367161560058594, 0.02375606346130371, 0.0237076473236084, 0.023793920516967774, 0.02384124755859375, 0.02389116859436035, 0.023773151397705077, 0.024869695663452148, 0.026327039718627928, 0.02400604820251465, 0.02389462471008301, 0.023854591369628905, 0.02378108787536621, 0.023748672485351563, 0.023734912872314454, 0.023786848068237304, 0.02370025634765625, 0.023766143798828125, 0.023775264739990233, 0.023836576461791992, 0.023861503601074217, 0.0237861442565918, 0.02379964828491211, 0.023721664428710938, 0.023785951614379883, 0.023803520202636718, 0.024883520126342772, 0.02377244758605957, 0.023812896728515626, 0.023766496658325195, 0.024031776428222656, 0.023754432678222658, 0.023808256149291992, 0.024064064025878906, 0.023842752456665037, 0.02376095962524414, 0.02395136070251465, 0.0237076473236084, 0.023657983779907226, 0.02377779197692871, 0.02389308738708496, 0.023869888305664062, 0.023849344253540038, 0.023873632431030273, 0.023694559097290038, 0.023745311737060546, 0.023808000564575195, 0.023738367080688477, 0.023814144134521483, 0.023775232315063476, 0.02427494430541992, 0.023920352935791016, 0.024358335494995116, 0.02503766441345215, 0.024229248046875, 0.02401862335205078, 0.024021472930908203, 0.023927200317382814, 0.02371139144897461, 0.02373468780517578, 0.023750656127929686, 0.023791616439819335, 0.02375641632080078, 0.023746944427490233, 0.02377052879333496, 0.023745119094848634, 0.0236810245513916, 0.0236911678314209, 0.024205408096313476, 0.023822336196899413, 0.023764991760253908, 0.023738367080688477]",tokens/s,42.14462786443458,,,
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1577.525248,1553.85856,0.0,1168.113664,1154.613248,s,1,8.2009658203125,8.2009658203125,0.0,8.2009658203125,8.2009658203125,8.2009658203125,8.2009658203125,[8.2009658203125],,kWh,3.3661625841690085e-05,3.705841141436111e-06,1.1688620461997035e-05,4.905608744512323e-05,,MB,1545.68704,1784.54528,0.0,1369.440256,1323.44832,s,10,0.7627115859985352,0.07627115859985352,0.0004998856671174652,0.07607849884033203,0.07686925811767578,0.07713139877319336,0.07734111129760743,"[0.07739353942871094, 0.075989501953125, 0.07656441497802734, 0.0759548797607422, 0.07601411437988281, 0.07635391998291016, 0.07614288330078126, 0.07587865447998046, 0.07681100463867188, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1553.063936,1576.927232,0.0,1174.40512,1147.036672,s,1,8.8884296875,8.8884296875,0.0,8.8884296875,8.8884296875,8.8884296875,8.8884296875,[8.8884296875],,kWh,5.1388671687504936e-05,5.661038658535728e-06,1.859945932400353e-05,7.564916967004419e-05,,MB,1629.45024,1648.2304,0.0,1231.028224,1064.7808,s,10,0.5563568649291992,0.055635686492919924,0.00023691395648061002,0.05571343994140625,0.055830359268188474,0.05583262004852295,0.05583442867279053,"[0.05503081512451172, 0.05555580902099609, 0.05542380905151367, 0.055769790649414064, 0.05582198333740234, 0.05582985687255859, 0.05573823928833008, 0.05568864059448242, 0.05566304016113281, 0.055834880828857424]",tokens/s,4601.3631921766255,kWh,1.6425787363763265e-06,1.811456139113412e-07,1.096235271494368e-06,2.9199596217820354e-06,tokens/kWh,87672445.2250352,MB,1633.66912,1650.327552,0.0,1233.125376,1119.937024,s,10,11.882388427734375,1.1882388427734374,0.0050516534965831025,1.1869660034179688,1.1949722167968748,1.19713125,1.1988584765624999,"[1.194492431640625, 1.199290283203125, 1.1831859130859375, 1.187224365234375, 1.18858544921875, 1.1867076416015625, 1.184647216796875, 1.191041259765625, 1.1828126220703126, 1.1844012451171875]",tokens/s,53.019643637430114,kWh,3.4638644834873604e-05,3.820204145570738e-06,1.6188195222704997e-05,5.464704420314934e-05,tokens/kWh,1152852.8380382059,,s,630,11.879840843200688,0.018856890227302674,0.0004390847251764888,0.018770223617553712,0.019106063842773437,0.019222457885742186,0.020360034942626955,"[0.02024665641784668, 0.01879859161376953, 0.018876415252685547, 0.02313216018676758, 0.018749439239501953, 0.018718719482421875, 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0.01877872085571289, 0.01884921646118164, 0.01871558380126953, 0.018716672897338867, 0.01866268730163574, 0.018606815338134765, 0.018619871139526366, 0.018704095840454103, 0.018774656295776366, 0.018704063415527345, 0.019055776596069336, 0.019133247375488282, 0.018878496170043946, 0.018743295669555664, 0.018653152465820312, 0.018597951889038088, 0.018704479217529296, 0.018696063995361327, 0.018771360397338867, 0.018685728073120116, 0.018794687271118164, 0.0187840633392334, 0.018682016372680663, 0.018870943069458006, 0.01903379249572754, 0.018694463729858397, 0.018792448043823243, 0.018734975814819334, 0.018737279891967773, 0.01871366310119629, 0.018823423385620118, 0.01868828773498535, 0.018786720275878906, 0.018857664108276367, 0.01882758331298828, 0.01878214454650879, 0.018753536224365236, 0.018787616729736327, 0.018633216857910157, 0.018800928115844728, 0.018798175811767577, 0.01908367919921875, 0.018941951751708985, 0.01903615951538086, 0.01901372718811035, 0.01899305534362793, 0.018924575805664062, 0.018674560546875, 0.018826623916625977, 0.018629215240478517, 0.01869340705871582, 0.018627424240112305, 0.018704256057739257, 0.018714879989624022, 0.018695711135864258, 0.018534847259521484, 0.01862339210510254, 0.018662527084350587, 0.018689792633056642, 0.01861235237121582, 0.01858355140686035, 0.018902271270751954, 0.01881078338623047, 0.018772832870483397, 0.018752511978149415, 0.0186296329498291, 0.01863910484313965, 0.018752384185791015, 0.019060640335083007, 0.019645408630371095, 0.019066879272460938, 0.01876617622375488, 0.018781856536865236]",tokens/s,53.031013488751796,,,
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4278.554624,4733.140992,0.0,4347.396096,4328.833024,s,1,9.945201171875,9.945201171875,0.0,9.945201171875,9.945201171875,9.945201171875,9.945201171875,[9.945201171875],,kWh,8.320812820835879e-05,9.171267385607297e-06,2.741696637803548e-05,0.00011979636197200156,,MB,1413.586944,5219.680256,0.0,4804.575232,4748.27776,s,10,3.394944519042969,0.3394944519042969,0.0020998930967299724,0.34023983764648436,0.34102067260742186,0.34122933044433595,0.3413962567138672,"[0.333991943359375, 0.33939376831054685, 0.34097430419921876, 0.34068563842773436, 0.3395765380859375, 0.33760150146484375, 0.3401780700683594, 0.3403016052246094, 0.34080316162109375, 0.34143798828125]",tokens/s,754.0623964958523,kWh,9.861887761249918e-06,1.087584543565022e-06,6.581107116732099e-06,1.7530579421547038e-05,tokens/kWh,14603054.117272783,MB,1433.00608,5328.73216,0.0,4913.627136,4878.043648,s,10,18.278779296875,1.8278779296875,0.005375331724542857,1.8263477783203124,1.8360775634765625,1.8361283203125,1.83616892578125,"[1.822375, 1.8241177978515626, 1.832373779296875, 1.82473388671875, 1.81974609375, 1.8304918212890624, 1.8257061767578124, 1.8361790771484374, 1.8360662841796875, 1.8269893798828125]",tokens/s,34.46619655327349,kWh,5.35171497612484e-05,5.902882081177866e-06,3.5475065417067686e-05,9.489509725949398e-05,tokens/kWh,663890.9893071112,,s,630,18.27564096641538,0.02900895391494509,0.0008214540632536039,0.029015392303466794,0.029618316078186036,0.02979974431991577,0.033174618072509765,"[0.032325984954833985, 0.02968934440612793, 0.028594688415527345, 0.028507999420166016, 0.028810720443725586, 0.028596927642822265, 0.027994016647338867, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2221.080576,2971.533312,0.0,2569.0112,2295.745536,s,1,9.5031572265625,9.5031572265625,0.0,9.5031572265625,9.5031572265625,9.5031572265625,9.5031572265625,[9.5031572265625],,kWh,7.219568145411965e-05,7.95628858616086e-06,2.9456690232021465e-05,0.00010960866027230197,,MB,2304.786432,2988.310528,0.0,2571.108352,2282.97216,s,10,1.0099354858398437,0.10099354858398438,0.0001945934438602146,0.10095251083374024,0.10126512298583984,0.10132692794799805,0.10137637191772461,"[0.10138873291015625, 0.10083219146728516, 0.10109117126464844, 0.10074697875976563, 0.10088448333740234, 0.10104582214355469, 0.10125138854980469, 0.10095954895019531, 0.1007896957397461, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1527.447552,1868.43136,0.0,1465.909248,1358.169088,s,1,8.7332041015625,8.7332041015625,0.0,8.7332041015625,8.7332041015625,8.7332041015625,8.7332041015625,[8.7332041015625],,kWh,4.866332461665479e-05,5.360478907909336e-06,1.9157515325995966e-05,7.31813188505601e-05,,MB,1637.552128,1889.40288,0.0,1472.200704,1356.544512,s,10,0.4490383415222168,0.044903834152221676,0.0001865241058669827,0.04487147331237793,0.045151627731323245,0.04521389446258545,0.045263707847595216,"[0.045276161193847655, 0.04501808166503906, 0.044872798919677735, 0.04464860916137695, 0.04464467239379883, 0.04513779067993164, 0.04484422302246094, 0.04487267303466797, 0.04485305786132812, 0.04487027359008789]",tokens/s,5701.072187559156,kWh,1.364298439719524e-06,1.50458461873788e-07,9.033691027569729e-07,2.4181260043502846e-06,tokens/kWh,105867105.16302623,MB,1645.367296,1889.40288,0.0,1472.200704,1409.94816,s,10,11.410097534179688,1.1410097534179688,0.005375067657347091,1.1386219482421875,1.1471005126953124,1.1494556518554688,1.1513397631835938,"[1.151810791015625, 1.1464498291015626, 1.142974609375, 1.1378150634765625, 1.1345040283203125, 1.1394288330078124, 1.1362237548828125, 1.136862548828125, 1.1465771484375, 1.137450927734375]",tokens/s,55.21425194769756,kWh,3.3191407275693e-05,3.6605711932750538e-06,1.6121588961644656e-05,5.297356743061271e-05,tokens/kWh,1189272.3683848626,,s,630,11.404658069610592,0.018102631856524755,0.00029441251087913194,0.018042112350463865,0.01831179256439209,0.018441910362243654,0.019191217498779306,"[0.01823244857788086, 0.018006912231445314, 0.01815123176574707, 0.018033887863159178, 0.01813763236999512, 0.01805766487121582, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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0.08373452758789063, 0.0835420150756836]",tokens/s,12.052672676206061,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,918.441984,622.723072,0.0,220.20096,205.438976,s,1,7.8970478515625,7.8970478515625,0.0,7.8970478515625,7.8970478515625,7.8970478515625,7.8970478515625,[7.8970478515625],,kWh,2.2174442354162236e-05,2.4385341187183537e-06,7.807784024010944e-06,3.242076049689153e-05,,MB,1400.963072,677.249024,0.0,260.046848,226.388992,s,16,0.21212710475921634,0.01325794404745102,9.033278918196807e-05,0.013232848167419434,0.013387760162353515,0.013434344053268432,0.0134547917842865,"[0.013213055610656738, 0.013248895645141602, 0.013269184112548828, 0.013459903717041016, 0.013219200134277343, 0.013166624069213867, 0.01322371196746826, 0.013214112281799317, 0.01317078399658203, 0.013304800033569335, 0.013349696159362793, 0.013425824165344238, 0.013241984367370606, 0.013157600402832032, 0.013140224456787109, 0.013321503639221192]",tokens/s,19309.177884878667,kWh,3.832853812335801e-07,4.226903379935297e-08,2.2667158699475678e-07,6.522260020276899e-07,tokens/kWh,392501984.2878507,MB,1442.562048,691.929088,0.0,274.726912,226.391552,s,16,10.0667763671875,0.6291735229492188,0.0034928218358242645,0.6284032287597656,0.6337787475585938,0.6356130065917969,0.6364722106933594,"[0.62723681640625, 0.6258632202148438, 0.630160888671875, 0.62606201171875, 0.626392578125, 0.6303976440429687, 0.6282301635742188, 0.6226085815429687, 0.6285762939453124, 0.6272710571289063, 0.6352550048828125, 0.63668701171875, 0.632302490234375, 0.6276344604492188, 0.6310910034179688, 0.6310071411132813]",tokens/s,100.13135915937897,kWh,1.8004295368768942e-05,1.985478094194924e-06,6.973525145381034e-06,2.69632986083449e-05,tokens/kWh,2336509.3757668827,,s,1008,10.05840968990327,0.009978581041570693,0.00017098170591646654,0.009944575786590576,0.010122015762329102,0.010221994972229004,0.010624712324142456,"[0.009594911575317383, 0.009933856010437012, 0.009855360031127929, 0.009916095733642579, 0.00985587215423584, 0.009894944190979004, 0.009855199813842773, 0.00987827205657959, 0.009910176277160645, 0.00986736011505127, 0.009930751800537109, 0.009872896194458008, 0.009886207580566407, 0.00993280029296875, 0.009944543838500977, 0.009922911643981933, 0.009974271774291991, 0.009907168388366699, 0.00996012783050537, 0.009967071533203125, 0.009972288131713867, 0.009873408317565918, 0.00991641616821289, 0.009788448333740235, 0.010045568466186523, 0.009892704010009766, 0.009898015975952149, 0.009999648094177246, 0.009994943618774415, 0.010012672424316407, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1015, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 840, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 467, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 397, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,6757.380096,9179.103232,0.0,8776.58112,8188.314112,s,1,13.911306640625,13.911306640625,0.0,13.911306640625,13.911306640625,13.911306640625,13.911306640625,[13.911306640625],,kWh,0.0001931991353250396,2.1279811507146977e-05,8.704229185602097e-05,0.00030152123868820756,,MB,1668.1984,9193.783296,0.0,8776.58112,7654.291456,s,10,54.00182861328125,5.400182861328124,0.007725065581188414,5.3994658203125,5.408142236328125,5.410999340820313,5.413285024414062,"[5.387064453125, 5.3932001953125, 5.39271728515625, 5.39710009765625, 5.39768603515625, 5.40124560546875, 5.40493310546875, 5.40651806640625, 5.40750732421875, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3843.485696,5236.457472,0.0,4833.93536,4546.659328,s,1,10.957439453125,10.957439453125,0.0,10.957439453125,10.957439453125,10.957439453125,10.957439453125,[10.957439453125],,kWh,0.00011120032802083794,1.22588058528432e-05,4.815253852200052e-05,0.00017161167239568168,,MB,2071.01952,5270.011904,0.0,4852.809728,4095.21408,s,10,26.707928955078124,2.6707928955078124,0.006245286641557769,2.6711156005859373,2.6772308105468747,2.67802666015625,2.6786633398437503,"[2.656837646484375, 2.664251220703125, 2.66907080078125, 2.67033935546875, 2.669186767578125, 2.671891845703125, 2.678822509765625, 2.674153076171875, 2.677053955078125, 2.67632177734375]",tokens/s,95.85168525443652,kWh,7.79918718425021e-05,8.602322753788288e-06,5.178176364760007e-05,0.00013837595824389048,tokens/kWh,1850032.355684177,MB,2081.497088,5270.011904,0.0,4852.809728,4197.764096,s,10,22.094751464843753,2.209475146484375,0.008217439253106406,2.2111572265625,2.219243505859375,2.221573046875,2.2234366796875,"[2.223902587890625, 2.218725830078125, 2.21336962890625, 2.213949462890625, 2.209154296875, 2.200388916015625, 2.204223876953125, 2.21316015625, 2.1994306640625, 2.198446044921875]",tokens/s,28.513559023392038,kWh,6.434142826416896e-05,7.097402333022428e-06,4.2580422953200636e-05,0.00011401925355039203,tokens/kWh,552538.260322468,,s,630,22.091589752197287,0.0350660154796782,0.00040114852744904564,0.035012815475463865,0.03538098487854004,0.03571183776855469,0.03656088031768799,"[0.03589564895629883, 0.03524985504150391, 0.03512944030761719, 0.03516057586669922, 0.0350143051147461, 0.03499401473999023, 0.03519068908691406, 0.03522364807128906, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1015, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 840, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 467, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 397, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 252, in _flash_attention_forward
    attn_output_unpad = flash_attn_varlen_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 1124, in flash_attn_varlen_func
    return FlashAttnVarlenFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 620, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_varlen_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 90, in _flash_attn_varlen_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.varlen_fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1068.302336,972.947456,0.0,570.425344,525.840896,s,1,8.3147880859375,8.3147880859375,0.0,8.3147880859375,8.3147880859375,8.3147880859375,8.3147880859375,[8.3147880859375],,kWh,2.666408144167083e-05,2.9340606053506265e-06,8.985840522002242e-06,3.8583982569023696e-05,,MB,1371.611136,1014.890496,0.0,597.68832,584.940544,s,10,1.606397933959961,0.16063979339599613,0.0005527566183424234,0.16048513793945313,0.16120621337890625,0.16149971313476563,0.16173451293945312,"[0.161793212890625, 0.16056591796875, 0.1611409912109375, 0.16084243774414062, 0.16024032592773438, 0.16038710021972657, 0.16040435791015625, 0.16109808349609375, 0.16006678771972657, 0.15985871887207032]",tokens/s,1593.6275476209662,kWh,4.913539487499747e-06,5.418632405369581e-07,3.2778498445000063e-06,8.733252572536712e-06,tokens/kWh,29313248.17113823,MB,1410.82624,1029.57056,0.0,612.368384,597.290496,s,10,14.481121337890626,1.4481121337890626,0.002765557196265512,1.448029541015625,1.4513597534179687,1.452547430419922,1.4534975720214844,"[1.4483218994140625, 1.453735107421875, 1.4465081787109375, 1.44409912109375, 1.44796533203125, 1.4500780029296876, 1.4449583740234375, 1.4462657470703124, 1.4510958251953125, 1.44809375]",tokens/s,43.504918251846384,kWh,4.1576940329161965e-05,4.5856402142860356e-06,1.6513860433300018e-05,6.267644097674802e-05,tokens/kWh,1005162.3707123386,,s,630,14.475470323562622,0.02297693702152797,0.0003288888919338714,0.022890815734863283,0.023292008781433105,0.023451161575317382,0.024743578910827645,"[0.024799583435058593, 0.023143936157226562, 0.023081695556640625, 0.022918624877929686, 0.022831615447998048, 0.022720672607421874, 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0.022838560104370118, 0.022872543334960936, 0.022975872039794922, 0.022845855712890627, 0.023024063110351562, 0.023427072525024413, 0.023791519165039063, 0.023356639862060546, 0.023630111694335938, 0.023197439193725584, 0.023139007568359377, 0.02323676872253418, 0.023261247634887697, 0.023143775939941408, 0.022929439544677733, 0.022805055618286132, 0.0230830078125, 0.022816768646240236, 0.022798015594482423, 0.022788415908813475, 0.02287548828125, 0.022848255157470704, 0.022680896759033203, 0.02277436828613281, 0.022733152389526366, 0.02273859214782715, 0.022689504623413084, 0.022792127609252928, 0.02323699188232422, 0.023495744705200196, 0.023534303665161134, 0.023574975967407225, 0.023758399963378907, 0.023736000061035156, 0.023355840682983398, 0.023485567092895506, 0.02344473648071289, 0.02319887924194336, 0.02299958419799805, 0.02309119987487793, 0.02285753631591797, 0.02288425636291504, 0.022806047439575195, 0.022835968017578125, 0.02275881576538086, 0.022929664611816405, 0.022877824783325194, 0.022807487487792967, 0.022929183959960936, 0.02306435203552246, 0.022728384017944334, 0.02270262336730957, 0.022730560302734376, 0.0227326717376709, 0.022819135665893556, 0.022807647705078125, 0.022864992141723633, 0.023018272399902343, 0.02290496063232422, 0.022855680465698244, 0.0228621768951416, 0.02328329658508301, 0.025274112701416017, 0.02329631996154785, 0.02306185531616211, 0.02320275115966797, 0.02304732894897461, 0.022903520584106444, 0.022896480560302735, 0.02302367973327637, 0.02305836868286133, 0.022826496124267577, 0.02282956886291504, 0.022814336776733397, 0.022800735473632813, 0.02284956741333008, 0.02288217544555664, 0.022797760009765626, 0.022987455368041993, 0.022796287536621093, 0.022837568283081054, 0.023020864486694336, 0.022875808715820314, 0.022893312454223633, 0.022958175659179687, 0.022877216339111328, 0.02294028854370117, 0.022746463775634766, 0.02284339141845703, 0.02272115135192871, 0.022710559844970703, 0.022758495330810546, 0.022780799865722658, 0.022734848022460938, 0.022775808334350587, 0.022705568313598632, 0.022692447662353517, 0.022702016830444337, 0.022805887222290037, 0.022871904373168946, 0.02286672019958496, 0.022865983963012697, 0.023535743713378906, 0.023089023590087892, 0.023046112060546874, 0.023091232299804688, 0.023205312728881836, 0.022978879928588866, 0.022966848373413087, 0.022822591781616212, 0.02296438407897949, 0.022875648498535156, 0.023268863677978514, 0.023106592178344727, 0.0234116153717041, 0.02316147232055664, 0.022989343643188477, 0.022949600219726564, 0.022956064224243164]",tokens/s,43.5219019429379,,,
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 865, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 732, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 459, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 411, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 358, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1592.553472,1830.682624,0.0,1428.160512,1322.516992,s,1,8.579087890625,8.579087890625,0.0,8.579087890625,8.579087890625,8.579087890625,8.579087890625,[8.579087890625],,kWh,4.1737750074995954e-05,4.596587948120488e-06,1.7295291613983466e-05,6.362962963709991e-05,,MB,1700.1472,1851.654144,0.0,1434.451968,1320.892416,s,10,5.887068969726563,0.5887068969726562,0.002141463340372638,0.5880539855957031,0.5899028503417969,0.5923191009521485,0.5942521014404297,"[0.5947353515625, 0.5876989135742188, 0.5864642333984375, 0.5877103271484375, 0.5887935791015625, 0.5885071411132813, 0.5878301391601563, 0.58827783203125, 0.5893659057617188, 0.587685546875]",tokens/s,434.8513688500077,kWh,1.7513177812250824e-05,1.930867402998922e-06,1.162322825282496e-05,3.10672734680747e-05,tokens/kWh,8240182.398467322,MB,1711.067136,1851.654144,0.0,1434.451968,1373.031936,s,10,14.25769384765625,1.425769384765625,0.005509510047553519,1.4245712890625,1.4316825561523439,1.4353286437988282,1.4382455139160157,"[1.4221181640625, 1.4226575927734375, 1.4265272216796876, 1.430872314453125, 1.42288427734375, 1.4389747314453125, 1.4196661376953126, 1.4275069580078126, 1.42625830078125, 1.4202281494140625]",tokens/s,44.18666908769138,kWh,4.105419946816699e-05,4.528824133159441e-06,2.03284917529712e-05,6.591151535429763e-05,tokens/kWh,955826.9091728932,,s,630,14.255010454177844,0.022627000720917233,0.000444445885649772,0.022513312339782716,0.02293103103637695,0.023188226795196533,0.024895756340026876,"[0.02306915283203125, 0.022718816757202148, 0.022874111175537108, 0.02303977584838867, 0.02273711967468262, 0.02283087921142578, 0.0226627197265625, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2216.98048,2487.0912,0.0,2101.346304,1978.345472,s,1,8.9420341796875,8.9420341796875,0.0,8.9420341796875,8.9420341796875,8.9420341796875,8.9420341796875,[8.9420341796875],,kWh,4.735461085830745e-05,5.216259670568882e-06,1.5532234648008014e-05,6.810310517688434e-05,,MB,2285.740032,2782.789632,0.0,2367.684608,2241.29024,s,10,1.5768295593261719,0.1576829559326172,0.003307141787163014,0.15898407745361326,0.15985,0.1604330032348633,0.1608994058227539,"[0.16101600646972655, 0.15891900634765624, 0.1590491485595703, 0.15066517639160157, 0.159065185546875, 0.15972044372558594, 0.15938882446289063, 0.15177468872070313, 0.1586065673828125, 0.15862451171875]",tokens/s,1623.5109145810072,kWh,4.919577375416743e-06,5.425391620124654e-07,3.2591322369333413e-06,8.721248774362548e-06,tokens/kWh,29353594.49354906,MB,2288.04608,2866.675712,0.0,2451.570688,2334.829056,s,10,19.519980712890625,1.9519980712890626,0.005570624626799112,1.952057189941406,1.9570929931640626,1.9585798828125,1.95976939453125,"[1.9384727783203124, 1.9559625244140626, 1.9496724853515626, 1.94893017578125, 1.95485009765625, 1.9523582763671874, 1.9567625732421876, 1.951756103515625, 1.95114892578125, 1.9600667724609375]",tokens/s,32.27462205349209,kWh,5.6696505888748e-05,6.2534482927091025e-06,3.133656210626464e-05,9.428651628772176e-05,tokens/kWh,668176.1346208951,,s,630,19.51235071563721,0.030971985262916196,0.0005675866797720919,0.030839728355407714,0.03137550659179687,0.031780087852478024,0.03350711292266847,"[0.03184931182861328, 0.031127552032470703, 0.030776960372924805, 0.030730112075805664, 0.030722560882568358, 0.030525440216064452, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 989, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 880, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 647, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 369, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4357.275648,4562.28864,0.0,4183.81824,4182.069248,s,1,10.0476240234375,10.0476240234375,0.0,10.0476240234375,10.0476240234375,10.0476240234375,10.0476240234375,[10.0476240234375],,kWh,9.00516337291691e-05,9.925974722610089e-06,2.9063078805999232e-05,0.00012904068725777844,,MB,1646.116864,4715.380736,0.0,4307.550208,4281.174016,s,10,4.240579620361328,0.4240579620361328,0.00973513499326288,0.4238329620361328,0.43182900390625,0.439088330078125,0.444895791015625,"[0.4058084716796875, 0.418193603515625, 0.42089401245117186, 0.44634765625, 0.41901727294921876, 0.42609442138671877, 0.4232594299316406, 0.4263424377441406, 0.4302158203125, 0.424406494140625]",tokens/s,603.6910585779474,kWh,1.2225260772569512e-05,1.3473687572735923e-06,8.141916235750024e-06,2.1714545765593125e-05,tokens/kWh,11789332.49460986,MB,1650.315264,4730.0608,0.0,4322.230272,4281.176576,s,10,25.663558593750004,2.5663558593749998,0.012182986936632783,2.57035546875,2.5787344970703123,2.580027038574219,2.5810610717773437,"[2.57439501953125, 2.548342529296875, 2.56631591796875, 2.55032080078125, 2.564474853515625, 2.54906787109375, 2.581319580078125, 2.574916259765625, 2.57595849609375, 2.578447265625]",tokens/s,24.54842720656159,kWh,7.52577669924302e-05,8.299891720148061e-06,4.9471185410250034e-05,0.00013302884412282824,tokens/kWh,473581.5034356821,,s,630,25.659648288726828,0.04072960045829652,0.0006686577631998439,0.04065139198303223,0.04114664154052734,0.0414242654800415,0.043639575233459474,"[0.04099299240112304, 0.04076748657226562, 0.0403513298034668, 0.040348064422607424, 0.040390655517578124, 0.04044976043701172, 0.04084288024902344, 0.040583839416503904, 0.040483905792236326, 0.04080841445922852, 0.040733566284179686, 0.04058486557006836, 0.04051555252075195, 0.04062460708618164, 0.04030054473876953, 0.040328670501708984, 0.041082431793212894, 0.040731616973876957, 0.04061721420288086, 0.04047743988037109, 0.040271713256835935, 0.04044809722900391, 0.04028422546386719, 0.04057843017578125, 0.040628864288330076, 0.04068460845947266, 0.04068038558959961, 0.040687614440917966, 0.040904705047607424, 0.04079372787475586, 0.040857982635498044, 0.04057702255249023, 0.04013804626464844, 0.040585536956787106, 0.04038899230957031, 0.04036812973022461, 0.044386302947998044, 0.040521728515625, 0.04073174285888672, 0.04049382400512695, 0.04045225524902344, 0.04076544189453125, 0.040882080078125, 0.04057097625732422, 0.040286209106445314, 0.04068924713134765, 0.0414744644165039, 0.040427520751953126, 0.04086579132080078, 0.04296636962890625, 0.04254991912841797, 0.04094976043701172, 0.04068153762817383, 0.04109436798095703, 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0.041284862518310546, 0.04091494369506836, 0.040794017791748044, 0.04064547348022461, 0.04052374267578125, 0.040554527282714845, 0.040564735412597655, 0.040417278289794925, 0.04067737579345703, 0.04070809555053711, 0.04365264129638672, 0.04082457733154297, 0.0409463996887207]",tokens/s,24.552168171252035,,,
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmphu5n64in/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1174, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 894, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 507, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 436, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 113952 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpyh_zsdh5/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 293709 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3894, in from_pretrained
    hf_quantizer.preprocess_model(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model
    return self._process_model_before_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 85, in _process_model_before_weight_loading
    model, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  [Previous line repeated 1 more time]
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 166, in replace_with_awq_linear
    model._modules[name] = target_cls(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/gemm.py"", line 131, in __init__
    assert out_features % (32 // self.w_bit) == 0
AssertionError

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 29534 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpqk80fxs8/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpx4ipzc_j/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp1nj5d4lt/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 1039, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 816, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 551, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 384, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 225087 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp8w2wbor4/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,919.105536,578.68288,0.0,176.160768,154.500608,s,1,10.0747802734375,10.0747802734375,0.0,10.0747802734375,10.0747802734375,10.0747802734375,10.0747802734375,[10.0747802734375],,kWh,1.8840223354162808e-05,2.070879002957847e-06,6.10750488600105e-06,2.7018607243121703e-05,,MB,1384.685568,660.471808,0.0,243.269632,200.402944,s,17,0.21332748794555662,0.012548675761503331,0.00013371747206850152,0.012522272109985352,0.012712550354003906,0.01274401912689209,0.012804906578063966,"[0.012820128440856934, 0.01269916820526123, 0.01242959976196289, 0.01244159984588623, 0.012516703605651856, 0.012624320030212402, 0.012724991798400878, 0.012397472381591796, 0.01254041576385498, 0.012704256057739258, 0.012415936470031738, 0.012563103675842286, 0.012454624176025391, 0.012407039642333985, 0.012689599990844727, 0.012522272109985352, 0.012376255989074707]",tokens/s,20400.558980522357,kWh,3.6570128713450635e-07,4.0330179204704985e-08,1.850788169573936e-07,5.91110283296605e-07,tokens/kWh,433083313.27327853,MB,1419.890688,675.151872,0.0,257.949696,200.405504,s,17,9.84460040283203,0.5790941413430607,0.004406247438370094,0.5777682495117188,0.5858223632812499,0.5875574096679688,0.5884948315429688,"[0.5776289672851562, 0.5751454467773438, 0.5766144409179688, 0.5812184448242188, 0.5753554077148437, 0.5777682495117188, 0.5872644653320312, 0.5759959716796875, 0.57974267578125, 0.5848609619140624, 0.5764119873046875, 0.5790549926757812, 0.57115625, 0.5812243041992188, 0.5800532836914063, 0.5763753662109375, 0.5887291870117187]",tokens/s,108.79060156590018,kWh,1.6418961541106175e-05,1.8107257671662856e-06,5.69628391282036e-06,2.392597122109282e-05,tokens/kWh,2633121.950111686,,s,1071,9.833752511024459,0.009181841746988306,0.0002607534372296272,0.009144703865051269,0.009337151527404785,0.009478511810302735,0.010154534053802487,"[0.010020256042480469, 0.009593376159667969, 0.009131232261657714, 0.009132384300231933, 0.009153311729431152, 0.009393664360046386, 0.009007328033447266, 0.008967904090881348, 0.009011167526245117, 0.009075008392333984, 0.008989888191223145, 0.009141247749328613, 0.008959232330322265, 0.009027135848999024, 0.009038847923278808, 0.009078783988952637, 0.009105119705200195, 0.009076543807983398, 0.009210335731506347, 0.009002528190612792, 0.008981184005737304, 0.009348896026611328, 0.009086463928222656, 0.0091112642288208, 0.008880191802978516, 0.008901344299316407, 0.008962047576904298, 0.008945599555969238, 0.008962271690368652, 0.009043519973754882, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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0.008921792030334472, 0.0088985595703125, 0.008927583694458008, 0.009012895584106445, 0.009045151710510254, 0.009204575538635254, 0.009324543952941895, 0.009248767852783203, 0.009149663925170899, 0.009259455680847168, 0.00939891242980957, 0.009281279563903809, 0.009215968132019043, 0.009204863548278808, 0.009056639671325684, 0.00903219223022461, 0.009072095870971679, 0.009023712158203126, 0.008902815818786622, 0.008886431694030762, 0.008847455978393554, 0.008937376022338867, 0.00897811222076416, 0.00905247974395752, 0.008988672256469727, 0.008839296340942384, 0.00899232006072998, 0.008804672241210938, 0.008939231872558594, 0.008878368377685547, 0.008981792449951172, 0.008968928337097167, 0.009058527946472168, 0.008805791854858398, 0.008722816467285156, 0.008701120376586914, 0.008791135787963868, 0.008912704467773437, 0.008920767784118652, 0.008847583770751953, 0.00887980842590332, 0.008942208290100097, 0.009033408164978027, 0.009125439643859864]",tokens/s,111.79829159155433,,,
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4333.416448,4569.563136,0.0,4183.81824,4182.069248,s,1,10.1635,10.1635,0.0,10.1635,10.1635,10.1635,10.1635,[10.1635],,kWh,8.576651527498597e-05,9.4534771035184e-06,2.8487245011990514e-05,0.00012370723739049488,,MB,1622.482944,4722.655232,0.0,4307.550208,4281.174016,s,10,3.7266936035156246,0.3726693603515625,0.0024222125909151987,0.37304234313964846,0.37480166320800784,0.3749669937133789,0.37509925811767575,"[0.3660775756835937, 0.3715085144042969, 0.37245123291015625, 0.3730545654296875, 0.3741449279785156, 0.37476492309570314, 0.37294683837890624, 0.37303012084960935, 0.37513232421875, 0.37358258056640625]",tokens/s,686.9360007447327,kWh,1.0775990644791968e-05,1.188270927801436e-06,7.193696231142759e-06,1.915795780373616e-05,tokens/kWh,13362593.373604529,MB,1626.632192,4737.335296,0.0,4322.230272,4281.176576,s,10,19.315797607421874,1.9315797607421874,0.0066651199980240754,1.9291423950195312,1.93842744140625,1.9424410766601563,1.9456519848632812,"[1.9222420654296875, 1.9250628662109375, 1.9284111328125, 1.9285787353515624, 1.9464547119140625, 1.935525390625, 1.9342493896484374, 1.92803173828125, 1.9375355224609374, 1.9297060546875]",tokens/s,32.61579008044326,kWh,5.655815386687361e-05,6.238402661912035e-06,3.733964495105717e-05,0.00010013620147984282,tokens/kWh,629143.0977904804,,s,630,19.309970489501964,0.03065074680873326,0.000522372786755224,0.03055992031097412,0.03098632049560547,0.03127637300491333,0.032555961799621586,"[0.031021055221557618, 0.03045542335510254, 0.030398847579956055, 0.030321695327758788, 0.030151647567749025, 0.030316511154174806, 0.03051728057861328, 0.03043849563598633, 0.030515743255615235, 0.030531967163085937, 0.030287103652954103, 0.03036969566345215, 0.030323551177978515, 0.030559263229370116, 0.030749664306640626, 0.03081999969482422, 0.031061920166015625, 0.03077801513671875, 0.03065014457702637, 0.030438655853271483, 0.030503679275512695, 0.03037753677368164, 0.030246719360351563, 0.030218751907348632, 0.03012006378173828, 0.030053600311279297, 0.030183712005615235, 0.03011743927001953, 0.030530303955078126, 0.030660415649414064, 0.030411136627197265, 0.030468095779418947, 0.030652416229248046, 0.03241164779663086, 0.030598432540893554, 0.030628576278686523, 0.030484672546386718, 0.0304597110748291, 0.03032268714904785, 0.030468095779418947, 0.03031667137145996, 0.030180896759033203, 0.030222688674926758, 0.030629888534545898, 0.0305930233001709, 0.030424352645874023, 0.030132959365844727, 0.03038924789428711, 0.030442495346069336, 0.03055961608886719, 0.030395008087158202, 0.030298112869262695, 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0.03056230354309082, 0.030524608612060546, 0.030538368225097656, 0.030653663635253906, 0.030648992538452147, 0.0304704647064209, 0.03055615997314453, 0.03060105514526367, 0.030523551940917968, 0.03036470413208008, 0.030288864135742187, 0.03060326385498047, 0.03075257682800293, 0.030503103256225586, 0.030423040390014647, 0.03048588752746582, 0.030716543197631837, 0.030461952209472655, 0.030490623474121094, 0.030513151168823242, 0.030922752380371094, 0.03094118309020996, 0.030615680694580077, 0.030580608367919922, 0.030640127182006836, 0.03061555290222168]",tokens/s,32.625632459796115,,,
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4384.518144,5362.286592,0.0,4959.76448,4769.731072,s,1,11.5832275390625,11.5832275390625,0.0,11.5832275390625,11.5832275390625,11.5832275390625,11.5832275390625,[11.5832275390625],,kWh,0.00012836795212497996,1.4128874333218193e-05,5.673865650200616e-05,0.0001992354829602043,,MB,1629.351936,5383.258112,0.0,4966.055936,4251.027456,s,10,32.4425234375,3.24425234375,0.007091350838878713,3.2430179443359375,3.2522633544921877,3.253871423339844,3.2551578784179687,"[3.230861083984375, 3.237745849609375, 3.23954541015625, 3.242152099609375, 3.241451171875, 3.2438837890625, 3.248853759765625, 3.251906005859375, 3.250644775390625, 3.2554794921875]",tokens/s,78.90878170842039,kWh,9.482586464749754e-05,1.0458262269819845e-05,6.308718935860158e-05,0.00016837131627591898,tokens/kWh,1520449.0032047932,MB,1633.517568,5397.938176,0.0,4980.736,4251.030016,s,10,18.360163818359375,1.8360163818359374,0.004735661966507554,1.835945068359375,1.8403024169921873,1.8429421020507812,1.845053850097656,"[1.8397158203125, 1.8337735595703124, 1.845581787109375, 1.826554443359375, 1.834335205078125, 1.837554931640625, 1.8335498046875, 1.8380169677734375, 1.833444091796875, 1.83763720703125]",tokens/s,34.31341932635846,kWh,5.3813646982082446e-05,5.937070096647661e-06,3.557516734899874e-05,9.532588442772881e-05,tokens/kWh,660890.7997886279,,s,630,18.356937038421638,0.029137995299081954,0.00047515384139428104,0.02906135940551758,0.029453203201293944,0.029671596908569336,0.03032571828842164,"[0.030102272033691407, 0.029155328750610353, 0.028983295440673826, 0.028872703552246092, 0.028831743240356447, 0.029357343673706054, 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0.029361631393432615, 0.029452032089233398, 0.02907200050354004, 0.029014175415039062, 0.02901398468017578, 0.02950556755065918, 0.02916966438293457, 0.029066719055175782, 0.02894492721557617, 0.02891526412963867, 0.029079744338989258, 0.029053184509277345, 0.02903606414794922, 0.028951007843017577, 0.02896281623840332, 0.028810848236083986, 0.028928255081176756, 0.02903875160217285, 0.02908527946472168, 0.029049087524414062, 0.028887199401855468, 0.029054975509643553, 0.028940288543701172, 0.029030399322509767, 0.02925472068786621, 0.029072256088256837, 0.028930112838745116, 0.029212671279907225, 0.029313024520874024, 0.02923868751525879, 0.029157663345336916, 0.029094079971313476, 0.029149311065673828, 0.0292044792175293, 0.02946767997741699, 0.029274816513061522, 0.029499679565429687, 0.02977177619934082, 0.02985078430175781, 0.029053600311279296, 0.029186239242553712, 0.02892185592651367, 0.02876736068725586, 0.02892915153503418, 0.02874665641784668, 0.028799840927124024, 0.028685663223266603, 0.02879350471496582, 0.028719104766845704, 0.028923839569091798, 0.02897926330566406, 0.028970272064208984, 0.028944480895996095, 0.02887539291381836, 0.02923334312438965, 0.02908140754699707, 0.029247488021850586, 0.029513376235961914, 0.029122943878173827, 0.02902012825012207, 0.029165567398071288, 0.030484479904174806, 0.02933145523071289, 0.02918806457519531, 0.02930076789855957, 0.029000831604003907, 0.02916339111328125, 0.029145536422729493, 0.029223487854003905, 0.02877440071105957, 0.02906332778930664, 0.030017023086547853, 0.02892608070373535, 0.029006048202514647, 0.028899328231811523, 0.028919328689575197, 0.02890540885925293, 0.02914137649536133, 0.029340831756591797, 0.02914201545715332, 0.02896281623840332, 0.028943904876708983, 0.02899715232849121, 0.028824512481689452, 0.028919807434082033, 0.029061119079589845, 0.02894643211364746, 0.029063167572021483, 0.028855680465698242, 0.02903718376159668, 0.02962403106689453, 0.02946828842163086, 0.029076128005981444, 0.029146656036376953, 0.02895715141296387, 0.029056703567504883, 0.029305152893066407, 0.029162687301635744, 0.029086528778076173, 0.029142911911010743, 0.028981376647949218, 0.029758623123168945, 0.028969823837280275, 0.028989280700683594, 0.028944543838500977, 0.028933280944824218, 0.028896095275878907, 0.028921407699584963, 0.02904275131225586, 0.02920694351196289, 0.029114336013793946, 0.029157375335693358, 0.02913484764099121, 0.029156959533691407, 0.029125024795532226, 0.029580959320068358, 0.029243743896484375, 0.029288448333740235, 0.029230560302734375, 0.029583904266357423, 0.0291507511138916, 0.028888927459716798, 0.029018720626831054, 0.028850208282470702, 0.028870655059814454, 0.029083072662353517, 0.02901046371459961, 0.02874985694885254, 0.028970367431640626, 0.028929855346679686, 0.029143871307373045, 0.029282304763793947, 0.029970432281494142, 0.029329408645629884, 0.029099807739257813, 0.029072671890258788, 0.029116672515869142, 0.029018815994262696, 0.029134368896484374, 0.02910406494140625, 0.02929337692260742, 0.0290948486328125, 0.02918841552734375, 0.029118656158447265, 0.02910032081604004, 0.02938265609741211, 0.029208127975463866, 0.02932681655883789, 0.02925257682800293, 0.02923520088195801, 0.029376224517822267, 0.02922854423522949, 0.029440799713134767, 0.029296640396118165, 0.029293632507324217, 0.029051839828491213, 0.029319168090820313, 0.028817407608032225, 0.02894643211364746, 0.029378143310546875, 0.02969228744506836, 0.029054784774780275, 0.029124191284179687, 0.029016704559326173]",tokens/s,34.31945093461893,,,
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciCoder-1b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciCoder-1b.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciLM-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciLM-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciCoder-1b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciCoder-1b.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4331.208704,4569.563136,0.0,4183.81824,4182.069248,s,1,10.1197431640625,10.1197431640625,0.0,10.1197431640625,10.1197431640625,10.1197431640625,10.1197431640625,[10.1197431640625],,kWh,8.742598153335165e-05,9.636129412522372e-06,2.857502285999458e-05,0.0001256371338058686,,MB,1618.939904,4722.655232,0.0,4307.550208,4281.174016,s,10,3.7228604125976568,0.3722860412597656,0.0018237517890552016,0.3727941436767578,0.3734767120361328,0.37372251739501955,0.3739191616821289,"[0.3672055358886719, 0.3721265563964844, 0.37396832275390623, 0.3720126647949219, 0.3733023681640625, 0.37341845703125, 0.37249758911132813, 0.3730906982421875, 0.3734220886230469, 0.3718161315917969]",tokens/s,687.643294746509,kWh,1.0784125441667432e-05,1.1892962494295612e-06,7.131374752714478e-06,1.910479644381147e-05,tokens/kWh,13399776.373064939,MB,1618.939904,4737.335296,0.0,4322.230272,4281.176576,s,10,19.28531591796875,1.9285315917968748,0.012212739388282762,1.9242637939453124,1.9445255126953125,1.9479230346679688,1.9506410522460937,"[1.9197684326171875, 1.9138419189453124, 1.917401123046875, 1.9232813720703126, 1.9252462158203125, 1.9211885986328125, 1.9259764404296875, 1.943520751953125, 1.951320556640625, 1.9437705078125]",tokens/s,32.66734144671225,kWh,5.645293681374821e-05,6.226736320163312e-06,3.745274424788546e-05,0.000100132417381797,tokens/kWh,629166.8736987142,,s,630,19.282060108184798,0.030606444616166375,0.0005237074585037335,0.03051587200164795,0.031021064949035646,0.03125826320648193,0.031805548210144044,"[0.031642047882080075, 0.030666816711425782, 0.03045721626281738, 0.030566848754882813, 0.030511104583740234, 0.03060860824584961, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciCoder-1b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciCoder-1b.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3826, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1565, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1731, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciLM-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciLM-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4331.495424,4569.563136,0.0,4183.81824,4182.069248,s,1,10.07206640625,10.07206640625,0.0,10.07206640625,10.07206640625,10.07206640625,10.07206640625,[10.07206640625],,kWh,8.540670322916715e-05,9.413509459538998e-06,2.774029996999161e-05,0.00012256051265869774,,MB,1606.991872,4722.655232,0.0,4307.550208,4281.174016,s,10,4.169278350830077,0.4169278350830078,0.006605972195987207,0.41766082763671875,0.42467273864746097,0.42640326385498045,0.4277876840209961,"[0.40506536865234377, 0.4220838623046875, 0.40950286865234375, 0.41818838500976563, 0.4182585144042969, 0.4117859191894531, 0.4242881774902344, 0.41713327026367186, 0.41483819580078124, 0.4281337890625]",tokens/s,614.015132736417,kWh,1.216607661232558e-05,1.341369290578669e-06,8.083930078250113e-06,2.1591375981154363e-05,tokens/kWh,11856585.713825969,MB,1611.124736,4737.335296,0.0,4322.230272,4281.176576,s,10,25.232928955078126,2.5232928955078124,0.00899024057003971,2.5236262207031253,2.5315850585937496,2.5333125488281247,2.5346945410156247,"[2.529151123046875, 2.503118408203125, 2.513357666015625, 2.5207587890625, 2.523291015625, 2.52396142578125, 2.522057373046875, 2.5350400390625, 2.531201171875, 2.530991943359375]",tokens/s,24.9673750170494,kWh,7.348133542142193e-05,8.104414932254817e-06,4.8379503981350304e-05,0.00012996525433502706,tokens/kWh,484744.94450337725,,s,630,25.229623096466085,0.04004702078804137,0.0006547288893240537,0.03993707275390625,0.04054216156005859,0.04087392978668213,0.04257120166778565,"[0.04081798553466797, 0.04006121444702149, 0.03995644760131836, 0.03979471969604492, 0.03971955108642578, 0.03986774444580078, 0.04606224060058594, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciLM-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciLM-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3832, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4357.210112,4562.28864,0.0,4183.81824,4182.069248,s,1,10.031142578125,10.031142578125,0.0,10.031142578125,10.031142578125,10.031142578125,10.031142578125,[10.031142578125],,kWh,8.981634780416621e-05,9.900313537311436e-06,3.0006690671999584e-05,0.00012972335201347722,,MB,1635.110912,4715.380736,0.0,4307.550208,4281.174016,s,10,3.7298596801757813,0.3729859680175781,0.00239330107419596,0.3737974243164063,0.3747413604736328,0.37496203460693356,0.3751385739135742,"[0.3665159912109375, 0.373134521484375, 0.37361480712890627, 0.37194921875, 0.3744526062011719, 0.37398004150390624, 0.3743899230957031, 0.37194754028320315, 0.37518270874023435, 0.37469232177734374]",tokens/s,686.3528978332375,kWh,1.0785647206249867e-05,1.1891202052040404e-06,7.142733888785716e-06,1.9117501300239624e-05,tokens/kWh,13390871.32672465,MB,1641.34912,4730.0608,0.0,4322.230272,4281.176576,s,10,19.28433227539062,1.928433227539062,0.011992368182706773,1.9251874999999998,1.9393903198242188,1.9469975280761718,1.9530832946777343,"[1.9149078369140624, 1.92698876953125, 1.92338623046875, 1.9225906982421874, 1.954604736328125, 1.9357330322265625, 1.936275634765625, 1.917160888671875, 1.914984619140625, 1.9376998291015626]",tokens/s,32.66900772104845,kWh,5.615197611333324e-05,6.192956502939655e-06,3.712638485981421e-05,9.947131747608708e-05,tokens/kWh,633348.4023185398,,s,630,19.2810475769043,0.030604837423657612,0.00047886753596131467,0.030571392059326172,0.03109004878997803,0.03141498889923096,0.032441209793090835,"[0.030980224609375, 0.03203251266479492, 0.030491968154907227, 0.03043529510498047, 0.030155744552612305, 0.029895967483520507, 0.029991647720336915, 0.02984511947631836, 0.02998828887939453, 0.02998281669616699, 0.030333791732788086, 0.03010918426513672, 0.029904767990112303, 0.029932159423828125, 0.02993561553955078, 0.029888511657714844, 0.029808895111083984, 0.029858720779418944, 0.029913471221923827, 0.029925823211669922, 0.02991619110107422, 0.03002060890197754, 0.02979248046875, 0.029812223434448244, 0.03008336067199707, 0.029960031509399413, 0.030494688034057617, 0.030851264953613282, 0.030752767562866212, 0.029865983963012696, 0.029716320037841797, 0.029941375732421876, 0.029991455078125, 0.030666751861572264, 0.03087123107910156, 0.030623296737670898, 0.030740480422973632, 0.030692159652709963, 0.030547903060913085, 0.03059916877746582, 0.030748544692993166, 0.03073766326904297, 0.030724992752075197, 0.031192672729492187, 0.03087919998168945, 0.03069228744506836, 0.030691328048706053, 0.03086774444580078, 0.030506399154663084, 0.03044528007507324, 0.031002687454223632, 0.03039481544494629, 0.030324832916259765, 0.030405920028686525, 0.03050150489807129, 0.03039836883544922, 0.03145948791503906, 0.0306297607421875, 0.030623903274536134, 0.030642175674438478, 0.030765056610107422, 0.03038198471069336, 0.030250879287719728, 0.031472896575927736, 0.03066080093383789, 0.03020038414001465, 0.030064640045166017, 0.029894176483154296, 0.02993814468383789, 0.02995609664916992, 0.030144512176513674, 0.030275423049926756, 0.030224544525146484, 0.03330227279663086, 0.031366559982299806, 0.030351936340332033, 0.030357791900634767, 0.030521343231201172, 0.03013382339477539, 0.030124479293823243, 0.030926847457885744, 0.03182796859741211, 0.03020796775817871, 0.03027961540222168, 0.03036169624328613, 0.03032268714904785, 0.030871456146240234, 0.03058492851257324, 0.030527488708496094, 0.03046944046020508, 0.03063043212890625, 0.030556320190429687, 0.030488576889038086, 0.03047644805908203, 0.030477312088012694, 0.030415775299072266, 0.030492607116699218, 0.030623743057250977, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp8iya7579/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1174, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 894, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 507, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 436, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 4.12 MiB is free. Process 114447 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 242.96 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpy9gngpwv/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 294223 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3894, in from_pretrained
    hf_quantizer.preprocess_model(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model
    return self._process_model_before_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 85, in _process_model_before_weight_loading
    model, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  [Previous line repeated 1 more time]
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 166, in replace_with_awq_linear
    model._modules[name] = target_cls(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/gemv.py"", line 42, in __init__
    assert out_features % (32 // self.w_bit) == 0
AssertionError

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 30081 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp0ceiiseq/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpxsoh4v0b/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpcj27r7tj/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 1039, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 816, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 551, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 384, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 225571 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp7m94xslu/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,4351.91808,6905.790464,0.0,6503.268352,6315.533312,s,1,14.1625263671875,14.1625263671875,0.0,14.1625263671875,14.1625263671875,14.1625263671875,14.1625263671875,[14.1625263671875],,kWh,0.000148619097579162,1.638665445124423e-05,6.05403262099978e-05,0.00022554607824040404,,MB,1651.720192,6954.02496,0.0,6538.919936,5800.497664,s,10,31.78375610351562,3.1783756103515626,0.0032166710523816424,3.1793826904296876,3.1814366943359373,3.1817198120117185,3.181946306152344,"[3.170912109375, 3.175130126953125, 3.178578125, 3.1770830078125, 3.180187255859375, 3.17744287109375, 3.18053369140625, 3.181373779296875, 3.1820029296875, 3.18051220703125]",tokens/s,80.54428783251443,kWh,9.266692922666703e-05,1.0221092941694315e-05,6.154252145619959e-05,0.00016443054362456094,tokens/kWh,1556888.3636638501,MB,1651.720192,6968.705024,0.0,6551.502848,5800.500224,s,10,20.644426025390622,2.0644426025390628,0.014009031966466632,2.0685155029296878,2.077953857421875,2.0824088134765626,2.0859727783203126,"[2.08686376953125, 2.0769638671875, 2.06803515625, 2.070611572265625, 2.06546240234375, 2.069162109375, 2.068995849609375, 2.053822509765625, 2.049691162109375, 2.034817626953125]",tokens/s,30.516711834233682,kWh,6.0173826769582736e-05,6.635618011694815e-06,3.981069851520073e-05,0.00010662014329647831,tokens/kWh,590882.7173943679,,s,630,20.640998304367056,0.03276348937201121,0.0005932216704791336,0.032730607986450194,0.033096273040771486,0.0332940185546875,0.034235863990783696,"[0.033329151153564454, 0.032884735107421875, 0.032887840270996095, 0.0329343376159668, 0.03331536102294922, 0.0336814079284668, 0.04213350296020508, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-8B-Instruct,meta-llama/Llama-3.1-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,4350.644224,6115.16416,0.0,5729.419264,5727.871488,s,1,12.7381435546875,12.7381435546875,0.0,12.7381435546875,12.7381435546875,12.7381435546875,12.7381435546875,[12.7381435546875],,kWh,0.0001043506513000011,1.1503354960394975e-05,3.160335861600305e-05,0.00014745736487639912,,MB,1641.140224,6295.519232,0.0,5880.414208,5851.877888,s,10,3.9358390197753907,0.39358390197753906,0.0017262474430172218,0.3936583862304688,0.39521044006347655,0.396464762878418,0.3974682211303711,"[0.3922969055175781, 0.3937979736328125, 0.3921661376953125, 0.39218798828125, 0.3937838134765625, 0.3913591003417969, 0.393532958984375, 0.3940633544921875, 0.39493170166015623, 0.3977190856933594]",tokens/s,650.4331064196049,kWh,1.1719996934333418e-05,1.2925028718389548e-06,7.80648402295997e-06,2.081898382913234e-05,tokens/kWh,12296469.515566608,MB,1646.247936,6308.102144,0.0,5892.99712,5851.880448,s,10,28.05309814453125,2.805309814453125,0.015486070944240317,2.8075356445312503,2.825998901367188,2.8269036254882813,2.827627404785156,"[2.8106142578125, 2.7972587890625, 2.7730419921875, 2.809191650390625, 2.8138056640625, 2.827808349609375, 2.8257978515625, 2.798830078125, 2.790869873046875, 2.805879638671875]",tokens/s,22.45741260926697,kWh,8.17418356994171e-05,9.0163100585386e-06,5.2376091900839946e-05,0.00014313423765879564,tokens/kWh,440146.2643073548,,s,630,28.04975001907349,0.044523412728688073,0.0005795985819855202,0.044421119689941405,0.045036482238769535,0.04530864334106445,0.04705224647521974,"[0.045652511596679685, 0.04469318389892578, 0.04476876831054687, 0.04452185440063477, 0.04484921646118164, 0.0441940803527832, 0.044142593383789064, 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0.044622913360595706, 0.044827102661132816, 0.044800254821777345, 0.044466400146484376, 0.04469760131835938, 0.044827903747558594, 0.04491475296020508, 0.04599264144897461, 0.044916736602783204, 0.04470579147338867, 0.04475289535522461, 0.04484710311889648, 0.04459872055053711, 0.04453843307495117, 0.04455395126342773, 0.04446358489990234, 0.04464467239379883, 0.04462643051147461, 0.04424848175048828, 0.044347999572753906, 0.04458019256591797, 0.044663455963134764, 0.044474079132080076, 0.04414841461181641, 0.04430089569091797, 0.044307521820068356, 0.04411203384399414, 0.04416915130615234, 0.044563297271728516, 0.04714905548095703, 0.04500668716430664, 0.04422057723999023, 0.04548812866210938, 0.04472217559814453, 0.04502230453491211, 0.047698593139648436, 0.05025734329223633, 0.04409222412109375, 0.045575489044189454, 0.04440544128417969, 0.04446783828735352, 0.04458480072021485, 0.04426169586181641, 0.044504383087158206, 0.04478863906860352, 0.04423884963989258, 0.044197887420654294, 0.044578113555908204, 0.04416172790527344, 0.04567990493774414, 0.044671550750732425, 0.04503567886352539, 0.04561721420288086, 0.04449593734741211, 0.04439740753173828, 0.04426959991455078, 0.044742431640625, 0.04436195373535156, 0.04496384048461914, 0.04449043273925781, 0.044382526397705076, 0.044290046691894534, 0.04420608139038086, 0.04432281494140625, 0.044805633544921876, 0.04447488021850586, 0.04441078567504883, 0.04435574340820313, 0.04811945724487305, 0.04557648086547852, 0.044767230987548826, 0.044348926544189454, 0.04416972732543945, 0.04421222305297851, 0.044126209259033204, 0.044126079559326174, 0.04411609649658203, 0.044275680541992185, 0.0444222412109375, 0.044091552734375, 0.044412830352783206, 0.04429913711547852, 0.04430374526977539, 0.0442347526550293, 0.04422310256958008, 0.04440185546875, 0.044275585174560546, 0.04457712173461914, 0.04477308654785156, 0.04454703903198242, 0.04432255935668945, 0.04513808059692383, 0.04423193740844727, 0.043942657470703125, 0.044093441009521485, 0.04436124801635742, 0.04551926422119141, 0.04431267166137695, 0.04426339340209961, 0.04429209518432617, 0.044292030334472654, 0.044062782287597656, 0.04396441650390625, 0.04403763198852539, 0.04407523345947266, 0.044042720794677734, 0.044248897552490236, 0.044085216522216794, 0.0442531852722168, 0.04424502563476562, 0.04424051284790039, 0.04426995086669922, 0.04448444747924805, 0.044421279907226566, 0.0442507209777832, 0.04443724822998047, 0.044195648193359374, 0.044510047912597654, 0.044371967315673826, 0.044295871734619144, 0.04414905548095703, 0.0450437126159668, 0.044523265838623045, 0.04461177444458008, 0.04427324676513672, 0.04416543960571289, 0.04438963317871094, 0.044317600250244144, 0.04404537582397461, 0.04376409530639649, 0.04394678497314453, 0.04394678497314453, 0.044001632690429685, 0.044270240783691406, 0.04398896026611328, 0.0442665901184082, 0.04413740921020508, 0.04443340682983398, 0.044461727142333984, 0.044233055114746095, 0.04438195037841797, 0.04431897735595703, 0.044421119689941405, 0.04441088104248047, 0.04449824142456055, 0.04399747085571289, 0.044466590881347655, 0.044349441528320314, 0.04461939239501953, 0.044139041900634765, 0.04419977569580078, 0.04435670471191406, 0.04447043228149414, 0.04418636703491211, 0.04440233612060547, 0.04417366409301758, 0.04420579147338867, 0.044179744720458984, 0.04398080062866211, 0.04418086242675781, 0.044370433807373044, 0.04439023971557617, 0.044024097442626954, 0.04404019165039062, 0.04410892868041992, 0.044077888488769534, 0.04399673461914062, 0.044152446746826175, 0.044104480743408205, 0.04401059341430664, 0.04453273773193359, 0.04460134506225586, 0.04416307067871094, 0.04455014419555664, 0.04470783996582031, 0.04530176162719726, 0.044593151092529294, 0.04451945495605469, 0.04448863983154297, 0.04427276611328125, 0.044052799224853514, 0.044194206237792966, 0.04428108978271485, 0.04425542449951172, 0.04515667343139648, 0.0447259521484375, 0.0442691535949707, 0.044389087677001955, 0.04433241653442383, 0.04487260818481445, 0.04438959884643555, 0.04422038269042969, 0.044437278747558595, 0.04443603134155273, 0.04433536148071289, 0.0444304313659668, 0.044287841796875, 0.04477644729614258, 0.04451913452148438, 0.0442657585144043, 0.044488479614257816, 0.044466529846191406, 0.0444189453125, 0.0445849609375, 0.0446382064819336, 0.046358528137207033, 0.04487372970581055, 0.044386302947998044, 0.04444326400756836, 0.04455168151855469, 0.04415900802612305, 0.0443370246887207, 0.043985214233398434, 0.04416115188598633, 0.04433155059814453, 0.04440883255004883, 0.044249183654785154, 0.04414870452880859, 0.04437347030639648, 0.044263713836669924, 0.044284095764160154, 0.04444364929199219, 0.04422860717773437, 0.04441212844848633, 0.044483360290527345, 0.044365825653076174, 0.044505088806152344, 0.046458881378173826, 0.04478771209716797, 0.04483071899414062, 0.04492460632324219, 0.04480156707763672, 0.044939422607421876, 0.044517887115478515, 0.044603519439697266, 0.044242912292480466, 0.044197921752929685, 0.04440883255004883, 0.04431612777709961, 0.04460598373413086, 0.04436352157592773, 0.04426931381225586, 0.04475507354736328, 0.044109439849853514, 0.04464889526367188, 0.044876094818115234, 0.04469964981079102]",tokens/s,22.460093211939775,,,
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-3.1-405B,meta-llama/Llama-3.1-405B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3128.410112,4602.134528,0.0,4206.886912,4087.771648,s,1,11.1307451171875,11.1307451171875,0.0,11.1307451171875,11.1307451171875,11.1307451171875,11.1307451171875,[11.1307451171875],,kWh,0.00011638537738329735,1.2828940313779464e-05,4.410392417200648e-05,0.0001733182418690833,,MB,3141.451776,4774.100992,0.0,4366.270464,4273.703936,s,10,14.535161621093751,1.4535161621093748,0.0024993441056309243,1.4539345092773437,1.456260693359375,1.45683505859375,1.45729455078125,"[1.4518798828125, 1.4514942626953125, 1.4502095947265625, 1.4495482177734376, 1.454238037109375, 1.4536309814453126, 1.456133056640625, 1.4554744873046874, 1.4551436767578125, 1.457409423828125]",tokens/s,176.1246325795835,kWh,4.26348872075035e-05,4.7005923584355155e-06,2.844610609019915e-05,7.578158565613817e-05,tokens/kWh,3378129.367226621,MB,3141.451776,4776.198144,0.0,4368.367616,4274.361856,s,10,21.31460498046875,2.131460498046875,0.01040247824753476,2.1338648681640624,2.13996044921875,2.14533935546875,2.14964248046875,"[2.134578369140625, 2.116716796875, 2.113841552734375, 2.13179150390625, 2.15071826171875, 2.13876513671875, 2.1374931640625, 2.13352880859375, 2.134200927734375, 2.122970458984375]",tokens/s,29.55719801409827,kWh,6.293695610124964e-05,6.94365392428867e-06,3.6816446119800065e-05,0.00010669705614533838,tokens/kWh,590456.7780594056,,s,630,21.31210797500611,0.03382874281747,0.0006934402196118866,0.03361788940429687,0.03453700675964356,0.034875053215026854,0.03590497573852539,"[0.03524480056762695, 0.03443711853027344, 0.03434636688232422, 0.03448486328125, 0.03485887908935547, 0.03460905456542969, 0.03467190551757812, 0.03458553695678711, 0.034907520294189455, 0.03875084686279297, 0.034457599639892575, 0.034369537353515625, 0.03438796615600586, 0.03382812881469727, 0.03398294448852539, 0.03461084747314453, 0.03358486557006836, 0.03357990264892578, 0.033707839965820316, 0.033955230712890624, 0.03351836776733398, 0.0337999038696289, 0.03338787078857422, 0.03337311935424805, 0.03334143829345703, 0.033355777740478515, 0.033468414306640625, 0.033535999298095705, 0.033341598510742185, 0.033810272216796874, 0.033699840545654294, 0.03349420928955078, 0.033534782409667965, 0.03382675170898437, 0.03360979080200195, 0.0336097297668457, 0.0346295051574707, 0.03384332656860352, 0.03359539031982422, 0.033404800415039064, 0.03345625686645508, 0.03340284729003906, 0.0334541130065918, 0.03343270492553711, 0.03348889541625977, 0.033409408569335934, 0.03338905715942383, 0.0331673583984375, 0.033296382904052735, 0.033237152099609375, 0.033365856170654296, 0.033552257537841794, 0.03340531158447266, 0.03328351974487305, 0.033497535705566406, 0.03331651306152344, 0.03358451080322265, 0.0349315185546875, 0.034019359588623045, 0.03354009628295898, 0.03351347351074219, 0.03359139251708984, 0.03346601486206055, 0.03485081481933594, 0.0339046401977539, 0.03373446273803711, 0.03361587142944336, 0.03446393585205078, 0.034231647491455075, 0.033909408569335935, 0.03373875045776367, 0.03372851181030274, 0.033585151672363284, 0.03336806488037109, 0.03338240051269531, 0.03338649749755859, 0.03320627212524414, 0.03334143829345703, 0.033265056610107424, 0.03338915252685547, 0.033445888519287106, 0.033345535278320314, 0.03319804763793945, 0.03346799850463867, 0.03348320007324219, 0.03338560104370117, 0.03343244934082031, 0.033296382904052735, 0.03321596908569336, 0.03344643020629883, 0.03333324813842774, 0.03336294555664063, 0.03417190551757812, 0.03458364868164063, 0.03377388763427734, 0.03366764831542969, 0.03356470489501953, 0.03335987091064453, 0.03318796920776367, 0.03315206527709961, 0.03334428787231445, 0.03331878280639648, 0.03361772918701172, 0.03335120010375976, 0.03369043350219727, 0.03432470321655273, 0.034840545654296874, 0.03355148696899414, 0.03350291061401367, 0.03386617660522461, 0.033546558380126955, 0.03343795013427735, 0.03408662414550781, 0.0336091194152832, 0.0336446418762207, 0.0336596794128418, 0.03345388793945313, 0.033553791046142575, 0.03346720123291016, 0.03337830352783203, 0.03336521530151367, 0.03340073776245117, 0.033260414123535156, 0.03333052825927734, 0.033374881744384764, 0.03351513671875, 0.03515475082397461, 0.03435721588134766, 0.03401859283447266, 0.03362284851074219, 0.03367724609375, 0.03343564987182617, 0.0334516487121582, 0.03359945678710938, 0.03329679870605469, 0.0336732177734375, 0.033255424499511715, 0.03328585433959961, 0.0332720947265625, 0.03329974365234375, 0.03322496032714844, 0.03444070434570313, 0.03347964859008789, 0.033757217407226564, 0.033767391204833984, 0.033468318939208985, 0.03341494369506836, 0.033421630859375, 0.033537406921386716, 0.033321567535400394, 0.033140384674072265, 0.03339209747314453, 0.033197216033935543, 0.0332490234375, 0.033259521484375, 0.03355033493041992, 0.03332499313354492, 0.03354425430297851, 0.03320627212524414, 0.03343769454956055, 0.03337638473510742, 0.033736766815185545, 0.03374675369262695, 0.033519615173339845, 0.03327385711669922, 0.03383091354370117, 0.033492992401123044, 0.03391078567504883, 0.033729663848876955, 0.03352665710449219, 0.03325337600708008, 0.03357491302490234, 0.033388031005859374, 0.03348112106323242, 0.03328435134887695, 0.03335532760620117, 0.033315006256103515, 0.03334537506103516, 0.034027328491210936, 0.03389689636230469, 0.03348611068725586, 0.03356950378417969, 0.033459999084472655, 0.03376668930053711, 0.03325024032592774, 0.03342937469482422, 0.03349843215942383, 0.03356073760986328, 0.033955711364746094, 0.03519667053222656, 0.03428579330444336, 0.03436057662963867, 0.03408972930908203, 0.034457599639892575, 0.03432467269897461, 0.034062145233154296, 0.03401897430419922, 0.034043617248535156, 0.03413033676147461, 0.033884033203125, 0.033998367309570315, 0.03347743988037109, 0.03369574356079102, 0.03390067291259766, 0.03480131149291992, 0.03403571319580078, 0.0338741455078125, 0.03381452941894531, 0.03448585510253906, 0.03376988983154297, 0.03363225555419922, 0.03365801620483398, 0.034005599975585936, 0.03415884780883789, 0.03388415908813477, 0.03377062225341797, 0.03370800018310547, 0.033719200134277344, 0.03371731185913086, 0.033587329864501955, 0.033479103088378905, 0.03345446395874024, 0.03349651336669922, 0.033476158142089846, 0.03359641647338867, 0.035590145111083986, 0.033871295928955075, 0.03372499084472656, 0.03383295822143555, 0.03360153579711914, 0.03356467056274414, 0.033508575439453125, 0.03358595275878906, 0.03347030258178711, 0.033536128997802735, 0.03361407852172851, 0.03351116943359375, 0.03387334442138672, 0.03387241744995117, 0.033443264007568356, 0.03351030349731445, 0.03365788650512695, 0.03361417770385742, 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0.03348534393310547, 0.03341721725463867, 0.03341696166992188, 0.03342361450195312, 0.03343360137939453, 0.033576961517333984, 0.03361929702758789, 0.0338704948425293, 0.033406688690185544, 0.03354447937011719, 0.033808383941650394, 0.0335294075012207, 0.03382931137084961, 0.03359539031982422, 0.033439456939697264, 0.03348019027709961, 0.03346249771118164, 0.0335241584777832, 0.03338252639770508, 0.0333675537109375, 0.03339519882202149, 0.03337625503540039, 0.033621726989746095, 0.03382710266113281, 0.03395139312744141, 0.034310497283935544, 0.034370815277099606, 0.035200927734375, 0.034167648315429684, 0.03440214538574219, 0.03393552017211914, 0.033744384765625, 0.03366390228271485, 0.03356835174560547, 0.033879615783691405, 0.033793758392333985, 0.033534687042236326, 0.033476608276367184, 0.03380428695678711, 0.03364659118652344, 0.03426303863525391, 0.03371408081054687, 0.033693790435791016, 0.03501670455932617, 0.03383295822143555, 0.03359280014038086, 0.0335590705871582, 0.033716129302978515, 0.03426108932495117, 0.03395580673217773, 0.03371820831298828, 0.03434710311889649, 0.035796798706054685, 0.033819999694824215, 0.03363516616821289, 0.033546241760253906, 0.03364803314208984, 0.033743038177490234, 0.03375718307495117, 0.03385795211791992, 0.0335843505859375, 0.03339753723144531, 0.03366899108886719, 0.033659008026123045, 0.03422822570800781, 0.033726463317871096, 0.03361177444458008, 0.03351968002319336, 0.033587039947509764, 0.03350742340087891, 0.03378176116943359, 0.033964031219482424, 0.03376451110839844, 0.03370684814453125, 0.03419558334350586, 0.03351055908203125, 0.037013374328613284, 0.033812511444091795, 0.03367814254760742, 0.033642494201660156, 0.03361574554443359, 0.03371446228027344, 0.03426816177368164, 0.03370070266723633, 0.03353148651123047, 0.03346883010864258, 0.033527774810791014, 0.03359052658081055, 0.03331951904296875, 0.03335596847534179, 0.03531779098510742, 0.034265056610107425, 0.034236415863037106, 0.0341401596069336, 0.033976318359375, 0.03384899139404297, 0.03372067260742188, 0.03388415908813477, 0.0335912971496582, 0.034086910247802735, 0.03349881744384765, 0.03358547210693359, 0.03350502395629883, 0.033360126495361325, 0.03336806488037109, 0.03455292892456055, 0.033549217224121096, 0.03352576065063476, 0.03344384002685547, 0.033288158416748044, 0.03356243133544922, 0.03329158401489258, 0.033391521453857424, 0.033304576873779294, 0.03337798309326172, 0.033242496490478515, 0.03350214385986328, 0.03357049560546875, 0.03400492858886719, 0.03366563034057617, 0.03351472091674805, 0.03350175857543945, 0.03333859252929688, 0.033408798217773435, 0.03334652709960938, 0.03337830352783203, 0.03473392105102539, 0.03347475051879883, 0.0335687370300293, 0.03403369522094726, 0.03417702484130859, 0.034205440521240235, 0.0335546875, 0.03395708847045899, 0.03379894256591797, 0.03371212768554688, 0.0336445426940918, 0.03366092681884766, 0.033557952880859374, 0.03378438568115234, 0.033538047790527346, 0.033630176544189455, 0.033427486419677736, 0.03349094390869141, 0.03359743881225586, 0.033694847106933594, 0.03433110427856445, 0.03344015884399414, 0.033498977661132814, 0.0333067855834961, 0.03361382293701172, 0.03342089462280273, 0.03371987152099609]",tokens/s,29.560661044831235,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 112973 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4088, in from_pretrained
    hf_quantizer.postprocess_model(model)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 195, in postprocess_model
    return self._process_model_after_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 107, in _process_model_after_weight_loading
    model = post_init_awq_exllama_modules(model, self.quantization_config.exllama_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 456, in post_init_awq_exllama_modules
    model = exllama_post_init(model)
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllama.py"", line 133, in exllama_post_init
    submodule.post_init()
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllama.py"", line 73, in post_init
    self.q4 = exl_ext.make_q4(
RuntimeError: scales and qweight have incompatible shapes

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1545.949184,1823.408128,0.0,1428.160512,1322.516992,s,1,8.6151826171875,8.6151826171875,0.0,8.6151826171875,8.6151826171875,8.6151826171875,8.6151826171875,[8.6151826171875],,kWh,4.841402075417136e-05,5.333193352905008e-06,1.8674737161994415e-05,7.242195126907079e-05,,MB,1518.239744,1842.282496,0.0,1434.451968,1322.072064,s,10,5.334609802246093,0.5334609802246093,0.001341341049820948,0.533219970703125,0.5344022033691406,0.5357007049560547,0.536739506225586,"[0.5369992065429687, 0.5320140380859375, 0.533542236328125, 0.5341136474609375, 0.5322193603515625, 0.532897705078125, 0.5327489013671876, 0.5337323608398438, 0.5335829467773437, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 28521 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,6625.062912,9171.828736,0.0,8776.58112,8188.314112,s,1,13.9212919921875,13.9212919921875,0.0,13.9212919921875,13.9212919921875,13.9212919921875,13.9212919921875,[13.9212919921875],,kWh,0.0002018349085958486,2.224601848706114e-05,8.983729409201002e-05,0.00031391822117491974,,MB,1475.559424,9184.411648,0.0,8776.58112,7654.291456,s,10,51.66322021484375,5.166322021484374,0.003286428396186504,5.1669511718750005,5.17017724609375,5.1707001953125005,5.1711185546875,"[5.16087841796875, 5.16267724609375, 5.16403466796875, 5.1631455078125, 5.16671630859375, 5.16718603515625, 5.168517578125, 5.1687802734375, 5.17006103515625, 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0.04032716751098633, 0.04055654525756836, 0.04022415924072266, 0.040227424621582034, 0.040081409454345705, 0.04009695816040039, 0.04006585693359375, 0.04009267044067383, 0.040010753631591796, 0.04000972747802734, 0.03996876907348633, 0.039927616119384765, 0.04011228942871094, 0.04027395248413086, 0.04027391815185547]",tokens/s,25.114030587517153,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,8197.976064,12133.00736,0.0,11737.759744,11171.24352,s,1,16.15705859375,16.15705859375,0.0,16.15705859375,16.15705859375,16.15705859375,16.15705859375,[16.15705859375],,kWh,0.0002674889275624385,2.9477125894187513e-05,0.00011286620140399384,0.00040983225486061986,,MB,3844.460544,12147.687424,0.0,11739.856896,10924.35968,s,10,58.036142578124995,5.8036142578125,0.0021390588196081445,5.8043203125,5.805863720703125,5.805999731445312,5.806108540039062,"[5.79872802734375, 5.8013388671875, 5.802384765625, 5.80354345703125, 5.80465673828125, 5.80398388671875, 5.8046845703125, 5.80485302734375, 5.8061357421875, 5.80583349609375]",tokens/s,44.11044370417747,kWh,0.0001693208911624985,1.8675229001102623e-05,0.00011251667334660209,0.0003005127935102032,tokens/kWh,851877.209651336,MB,3844.460544,12149.784576,0.0,11741.954048,10924.36224,s,10,29.07179711914063,2.907179711914063,0.0021990716385634295,2.9076781005859376,2.909408544921875,2.9098297607421877,2.910166733398438,"[2.908518310546875, 2.908570556640625, 2.908798095703125, 2.9102509765625, 2.90931494140625, 2.906340087890625, 2.906837890625, 2.90321435546875, 2.905914794921875, 2.904037109375]",tokens/s,21.67048694713177,kWh,8.492498021875388e-05,9.36892409923487e-06,5.66316008607959e-05,0.0001509255051787847,tokens/kWh,417424.4765678994,,s,630,29.06872789764404,0.046140837932768325,0.00039546610824790876,0.046134544372558595,0.04650437202453613,0.04662674808502197,0.047907263565063474,"[0.047685951232910154, 0.045671966552734374, 0.04559734344482422, 0.04569497680664063, 0.04538380813598633, 0.04575600051879883, 0.046360286712646484, 0.04605587387084961, 0.04597481536865235, 0.04598255920410156, 0.04580147171020508, 0.04569497680664063, 0.04575641632080078, 0.04568016052246094, 0.046053855895996094, 0.0458419189453125, 0.0457564811706543, 0.04612908935546875, 0.046100990295410156, 0.04559872055053711, 0.045706783294677734, 0.04615011215209961, 0.045891166687011715, 0.045817569732666014, 0.04613584136962891, 0.0471404800415039, 0.04574057769775391, 0.046276607513427735, 0.04626227188110352, 0.04591820907592774, 0.04631455993652344, 0.04622022247314453, 0.04603887939453125, 0.046028926849365236, 0.046370849609375, 0.04622441482543945, 0.045937599182128905, 0.045948158264160155, 0.04641667175292969, 0.046349727630615234, 0.04619027328491211, 0.04615875244140625, 0.04602262496948242, 0.04618399810791016, 0.046508289337158205, 0.04642019271850586, 0.04618239974975586, 0.046053375244140625, 0.046537952423095705, 0.04658051300048828, 0.04630323028564453, 0.0465715217590332, 0.04640332794189453, 0.0461759033203125, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4899.647488,7907.24608,0.0,7511.998464,6895.682048,s,1,12.6356240234375,12.6356240234375,0.0,12.6356240234375,12.6356240234375,12.6356240234375,12.6356240234375,[12.6356240234375],,kWh,0.00016642297527916223,1.8348216214458956e-05,6.775477642601002e-05,0.0002525259679196312,,MB,2781.53216,7921.926144,0.0,7514.095616,6822.139904,s,10,29.33606640625,2.9336066406250003,0.0027620805749914213,2.9343319091796873,2.9365601806640624,2.9366376342773437,2.936699597167969,"[2.927570556640625, 2.931563232421875, 2.93044921875, 2.93380517578125, 2.9352333984375, 2.934239013671875, 2.9344248046875, 2.93552294921875, 2.936715087890625, 2.93654296875]",tokens/s,87.26459657367683,kWh,8.558926053708242e-05,9.439313111170493e-06,5.69508511161998e-05,0.00015197942476445273,tokens/kWh,1684438.5376294516,MB,2785.857536,7924.023296,0.0,7516.192768,6822.142464,s,10,18.646573852539063,1.8646573852539063,0.014621137052411227,1.8582719116210937,1.8802652954101562,1.888691973876953,1.8954333166503907,"[1.850527099609375, 1.855883056640625, 1.859441650390625, 1.8488958740234376, 1.8571021728515624, 1.8702486572265624, 1.8531971435546875, 1.8783927001953125, 1.875766845703125, 1.89711865234375]",tokens/s,33.78636767173259,kWh,5.55465222549977e-05,6.127621784968093e-06,3.683152946519774e-05,9.850567350516351e-05,tokens/kWh,639557.070757936,,s,630,18.644053899765005,0.029593736348833357,0.00044405198722840183,0.029464848518371584,0.03013679370880127,0.03030251989364624,0.030792031955718994,"[0.03071254348754883, 0.029541919708251953, 0.02955721664428711, 0.029360128402709962, 0.029306880950927733, 0.029634559631347656, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,11116.38016,14586.6752,0.0,14191.427584,13325.783552,s,1,18.065916015625,18.065916015625,0.0,18.065916015625,18.065916015625,18.065916015625,18.065916015625,[18.065916015625],,kWh,0.0003254964083291725,3.589740193542263e-05,0.00014863761890999971,0.0005100314291745948,,MB,2042.126336,14599.258112,0.0,14191.427584,12582.029312,s,10,93.31914257812501,9.331914257812501,0.0027802590925932497,9.33111669921875,9.3355583984375,9.3362474609375,9.336798710937499,"[9.3316044921875, 9.3291533203125, 9.328056640625, 9.3303154296875, 9.33062890625, 9.3295869140625, 9.332990234375, 9.33446484375, 9.3354052734375, 9.3369365234375]",tokens/s,27.432742407130633,kWh,0.000272282078387085,3.003405638682655e-05,0.0001809637003264003,0.0004832798351003118,tokens/kWh,529713.8043155959,MB,2046.562304,14599.258112,0.0,14191.427584,12935.916032,s,10,41.51020703125,4.151020703125,0.0021570119003759226,4.150668701171875,4.153448681640625,4.154599829101562,4.155520747070312,"[4.1493603515625, 4.14903662109375, 4.1501279296875, 4.14786572265625, 4.15031494140625, 4.15220068359375, 4.15133447265625, 4.1557509765625, 4.15319287109375, 4.1510224609375]",tokens/s,15.176990072001304,kWh,0.00012134205874583093,1.3384976105635782e-05,8.099598146339845e-05,0.00021572301631486506,tokens/kWh,292041.16035558505,,s,630,41.505993812561016,0.06588252986120799,0.0005906783672297738,0.06589093017578125,0.06665264968872071,0.06687368431091309,0.06720562927246095,"[0.06626099395751953, 0.06524118041992187, 0.06492034912109375, 0.064827392578125, 0.06484786987304687, 0.06484092712402344, 0.06486438751220704, 0.06557571411132812, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3543.61344,5170.46272,0.0,4775.215104,4427.072512,s,1,11.0327451171875,11.0327451171875,0.0,11.0327451171875,11.0327451171875,11.0327451171875,11.0327451171875,[11.0327451171875],,kWh,0.00011698165616666547,1.288786926369206e-05,4.9650317498000154e-05,0.0001795198429283577,,MB,1464.664064,5201.92,0.0,4794.089472,4101.02016,s,10,24.840545654296875,2.4840545654296875,0.005153085087852347,2.4845689697265625,2.489054345703125,2.4893999755859375,2.4896764794921875,"[2.470856201171875, 2.481852783203125, 2.48210888671875, 2.482912841796875, 2.485000732421875, 2.48413720703125, 2.486998291015625, 2.48795556640625, 2.4889775390625, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2188.980224,2907.635712,0.0,2512.388096,2240.694784,s,1,9.7695615234375,9.7695615234375,0.0,9.7695615234375,9.7695615234375,9.7695615234375,9.7695615234375,[9.7695615234375],,kWh,7.267370287916795e-05,8.008815164698533e-06,2.8941412041988412e-05,0.0001096239300858549,,MB,2220.744704,2922.315776,0.0,2514.485248,2226.413568,s,10,11.320579589843748,1.1320579589843747,0.00220818888242787,1.131412109375,1.135014697265625,1.1358196655273438,1.1364636401367187,"[1.13111181640625, 1.1293829345703126, 1.13000927734375, 1.129998291015625, 1.13131396484375, 1.132047607421875, 1.1337449951171874, 1.13151025390625, 1.1366246337890624, 1.1348358154296876]",tokens/s,226.1368315714774,kWh,3.3219415524163195e-05,3.66364249167958e-06,2.218648997140138e-05,5.906954798724415e-05,tokens/kWh,4333874.3688250715,MB,2223.202304,2922.315776,0.0,2514.485248,2337.090048,s,10,14.727046752929688,1.472704675292969,0.01827515411526005,1.4760736694335939,1.4904201782226563,1.496946661376953,1.5021678479003906,"[1.50347314453125, 1.4839168701171874, 1.4779920654296874, 1.488410888671875, 1.4889698486328125, 1.4606937255859376, 1.4510174560546876, 1.4741552734375, 1.4511300048828124, 1.4472874755859375]",tokens/s,42.77843416737117,kWh,4.2461431748752146e-05,4.683793481167955e-06,2.5790492854596556e-05,7.293571808451665e-05,tokens/kWh,863774.3159942114,,s,630,14.723933340072621,0.023371322762020048,0.0005964451738736854,0.023385295867919924,0.023886754608154297,0.024053939056396485,0.02478540544509888,"[0.024895488739013674, 0.02428108787536621, 0.024162208557128906, 0.02412566375732422, 0.02428505516052246, 0.02400796890258789, 0.02394316864013672, 0.02396342468261719, 0.02384748840332031, 0.023877727508544923, 0.023895711898803712, 0.024006847381591798, 0.024020736694335937, 0.02381279945373535, 0.02369740867614746, 0.023749664306640626, 0.02341142463684082, 0.02344576072692871, 0.023819679260253905, 0.023547584533691407, 0.023505823135375976, 0.02391244888305664, 0.02404351997375488, 0.023994367599487306, 0.02394281578063965, 0.02386569595336914, 0.023822336196899413, 0.023814144134521483, 0.023744512557983398, 0.023799808502197265, 0.023793664932250977, 0.02387353515625, 0.02390220832824707, 0.023851007461547852, 0.023953407287597657, 0.02406982421875, 0.02416774368286133, 0.023966720581054687, 0.023871360778808595, 0.023928960800170897, 0.023993535995483397, 0.0239005126953125, 0.02383830451965332, 0.023816991806030273, 0.023870784759521483, 0.023820703506469726, 0.023885759353637695, 0.02446156883239746, 0.02357676887512207, 0.023729183197021483, 0.023614431381225588, 0.0235696964263916, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1302.376448,1127.153664,0.0,731.906048,703.86944,s,1,8.321544921875,8.321544921875,0.0,8.321544921875,8.321544921875,8.321544921875,8.321544921875,[8.321544921875],,kWh,3.9562046445826126e-05,4.354408836396406e-06,1.2616121204039876e-05,5.653257648626241e-05,,MB,1333.53472,1406.07488,0.0,998.244352,942.608384,s,10,1.3574564971923828,0.13574564971923828,0.0006022325849746154,0.1357723388671875,0.13615484466552735,0.13659751815795898,0.1369516569519043,"[0.13704019165039064, 0.1360564727783203, 0.13602336120605468, 0.13559088134765626, 0.13500009155273437, 0.1360320281982422, 0.13476524353027344, 0.13590611267089844, 0.13540354919433595, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4758.638592,7476.215808,0.0,7073.693696,6385.996288,s,1,12.47103125,12.47103125,0.0,12.47103125,12.47103125,12.47103125,12.47103125,[12.47103125],,kWh,0.0001461604601333723,1.61149996467028e-05,6.451088494202617e-05,0.00022678634472210127,,MB,1767.6288,7495.090176,0.0,7077.888,5801.885696,s,10,36.178533203125006,3.6178533203125,0.007323446482560682,3.61758447265625,3.626488305664062,3.6271366088867185,3.6276552514648435,"[3.60854638671875, 3.609850341796875, 3.611226806640625, 3.610940673828125, 3.613195556640625, 3.6238212890625, 3.621973388671875, 3.624849609375, 3.62634423828125, 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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 224123 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7394.459648,9457.041408,0.0,9061.793792,8463.626752,s,1,14.789779296875,14.789779296875,0.0,14.789779296875,14.789779296875,14.789779296875,14.789779296875,[14.789779296875],,kWh,0.00021770074485833292,2.400667013197282e-05,9.690757752599255e-05,0.0003386149925162983,,MB,1728.344064,9469.62432,0.0,9061.793792,7981.246464,s,10,57.42651806640625,5.742651806640625,0.003014339069672028,5.7430356445312505,5.7456560546875,5.74627919921875,5.74677771484375,"[5.736865234375, 5.7391357421875, 5.740529296875, 5.741982421875, 5.7416044921875, 5.7440888671875, 5.745517578125, 5.74690234375, 5.745162109375, 5.74472998046875]",tokens/s,44.578708342367115,kWh,0.00016747126064083507,1.8472623745901746e-05,0.00011132408905920182,0.00029726797344593864,tokens/kWh,861175.8509752695,MB,1733.210112,9469.62432,0.0,9061.793792,8267.75296,s,10,27.192193359375,2.7192193359375,0.0020808683062563346,2.718815185546875,2.7216886962890627,2.7225609008789062,2.7232586645507815,"[2.71697265625, 2.7162060546875, 2.71926171875, 2.718357421875, 2.71836865234375, 2.719740478515625, 2.721494873046875, 2.720678466796875, 2.72343310546875, 2.717679931640625]",tokens/s,23.168414245730425,kWh,7.98462075979137e-05,8.806621371887446e-06,5.331282042799756e-05,0.0001419656493977987,tokens/kWh,443769.3221369991,,s,630,27.18830438232421,0.04315603870210193,0.0004030313345170255,0.04318473625183106,0.0436389347076416,0.043749713706970214,0.04395503551483154,"[0.04369161605834961, 0.0429202880859375, 0.04282505416870117, 0.042560001373291016, 0.04252892684936523, 0.0425082893371582, 0.042571327209472654, 0.042624446868896486, 0.042531841278076174, 0.04251206588745117, 0.04270521545410156, 0.04283571243286133, 0.042911998748779295, 0.042708992004394535, 0.04255718231201172, 0.042590465545654294, 0.04277043151855469, 0.04260262298583985, 0.04261193466186523, 0.043023006439208984, 0.043069438934326174, 0.04301004791259765, 0.04294246292114258, 0.04290764617919922, 0.04274995040893555, 0.04309404754638672, 0.043157089233398435, 0.0430780143737793, 0.042982528686523434, 0.04280575942993164, 0.042822017669677734, 0.0429035530090332, 0.04323638534545898, 0.04375651168823242, 0.04356300735473633, 0.04335823822021485, 0.04316342544555664, 0.04296438217163086, 0.04308252716064453, 0.04298342514038086, 0.043130847930908205, 0.04309987258911133, 0.04354694366455078, 0.04351724624633789, 0.04376851272583008, 0.043385921478271486, 0.04356806564331055, 0.043587390899658206, 0.043561153411865235, 0.04382905578613281, 0.04372304153442383, 0.04327414321899414, 0.04323328018188476, 0.04336649703979492, 0.04346665573120117, 0.04350678253173828, 0.04373331069946289, 0.04368239974975586, 0.04339712142944336, 0.04337583923339844, 0.04360675048828125, 0.04361619186401367, 0.04347865676879883, 0.043917343139648436, 0.042971168518066406, 0.04242230224609375, 0.04248982238769531, 0.0422459831237793, 0.04228316879272461, 0.04256361770629883, 0.0425975341796875, 0.04255007934570312, 0.04246323013305664, 0.042912864685058595, 0.042779743194580076, 0.042687873840332034, 0.04252454376220703, 0.042496063232421874, 0.04240166473388672, 0.04293286514282227, 0.0431512336730957, 0.043516033172607424, 0.04324147033691406, 0.042797054290771484, 0.04277644729614258, 0.04286886215209961, 0.04292403030395508, 0.04289737701416016, 0.04279040145874023, 0.04316009521484375, 0.043156959533691405, 0.04288547134399414, 0.043036865234375, 0.042987518310546875, 0.04306687927246094, 0.043080257415771483, 0.04318611145019531, 0.043322368621826174, 0.0432193603515625, 0.04300588989257813, 0.042799774169921874, 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0.04354252624511719, 0.04344627380371094, 0.0436346549987793, 0.04347292709350586, 0.04337209701538086, 0.04330873489379883, 0.043526241302490234, 0.043664096832275394, 0.0434804801940918, 0.04342217636108398, 0.0433092155456543, 0.0436275520324707, 0.043660160064697265]",tokens/s,23.1717282233157,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 205, in run_text_generation_memory_tracking
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 454, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 718, in forward
    hidden_states = residual + hidden_states
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.


"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7160.696832,10248.650752,0.0,9862.905856,9797.835264,s,1,12.6677099609375,12.6677099609375,0.0,12.6677099609375,12.6677099609375,12.6677099609375,12.6677099609375,[12.6677099609375],,kWh,0.0001564087551833192,1.724564190963619e-05,5.322004257599794e-05,0.00022687443966895333,,MB,3037.663232,10626.138112,0.0,10211.033088,10097.347072,s,10,6.949856872558593,0.6949856872558593,0.0016327644485380204,0.6956404418945312,0.6960719543457031,0.6961941497802734,0.6962919061279297,"[0.6908757934570312, 0.6930463256835937, 0.6948036499023438, 0.6956387939453125, 0.6963163452148438, 0.6959058837890625, 0.6955938720703125, 0.6960447998046875, 0.6959893188476562, 0.69564208984375]",tokens/s,368.35290955532076,kWh,2.0330627241944765e-05,2.242116567629049e-06,1.3515288589999637e-05,3.608803239957345e-05,tokens/kWh,7093764.413795689,MB,3039.010816,10628.235264,0.0,10213.13024,10097.349632,s,10,33.050490234375,3.3050490234375003,0.009476094742290402,3.3068792724609377,3.312250415039063,3.314654992675781,3.316578654785156,"[3.2810458984375, 3.29672509765625, 3.303554443359375, 3.306720458984375, 3.3070380859375, 3.311716064453125, 3.3170595703125, 3.31084716796875, 3.30630126953125, 3.309482177734375]",tokens/s,19.06174448646309,kWh,9.664655558055466e-05,1.0660639885171222e-05,6.440607930260033e-05,0.0001717132747683262,tokens/kWh,366890.6791568617,,s,630,33.047305759429925,0.05245604088798402,0.0007997177349419684,0.05240371131896973,0.05318418121337891,0.05353638820648193,0.056124251632690435,"[0.05483919906616211, 0.051114078521728515, 0.05127782440185547, 0.052346336364746095, 0.0521418228149414, 0.051079071044921875, 0.05183071899414062, 0.0521328010559082, 0.051533824920654295, 0.051727935791015624, 0.05122092819213867, 0.051585025787353515, 0.05151334381103516, 0.051490814208984374, 0.05116108703613281, 0.051574337005615235, 0.05171244812011719, 0.05254332733154297, 0.05219449615478516, 0.05194803237915039, 0.05212815856933594, 0.05158256149291992, 0.05215660858154297, 0.05214031982421875, 0.05161574554443359, 0.052192928314208985, 0.05166320037841797, 0.052193279266357424, 0.05102592086791992, 0.05175091171264649, 0.05203542327880859, 0.05190671920776367, 0.05233635330200195, 0.05156687927246094, 0.052170753479003906, 0.05167308807373047, 0.052345951080322264, 0.05262204742431641, 0.0523388786315918, 0.05250371170043945, 0.05233135986328125, 0.052400127410888675, 0.052208641052246096, 0.05247427368164063, 0.05260044860839844, 0.052257759094238285, 0.051955711364746096, 0.05207654571533203, 0.05243699264526367, 0.0521638069152832, 0.05200678253173828, 0.05220240020751953, 0.051748863220214845, 0.052226047515869144, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 4.12 MiB is free. Process 112457 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 242.96 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3894, in from_pretrained
    hf_quantizer.preprocess_model(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model
    return self._process_model_before_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 85, in _process_model_before_weight_loading
    model, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  [Previous line repeated 1 more time]
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 166, in replace_with_awq_linear
    model._modules[name] = target_cls(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/gemv.py"", line 42, in __init__
    assert out_features % (32 // self.w_bit) == 0
AssertionError

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1488.13824,1546.584064,0.0,1168.113664,1154.613248,s,1,8.2988203125,8.2988203125,0.0,8.2988203125,8.2988203125,8.2988203125,8.2988203125,[8.2988203125],,kWh,3.984401601249677e-05,4.387897293824016e-06,1.3327788440001265e-05,5.755970174632205e-05,,MB,1472.036864,1777.270784,0.0,1369.440256,1323.44832,s,10,0.7596723175048828,0.07596723175048828,0.00045580130739098163,0.07586155319213868,0.07628573913574219,0.07674357376098632,0.07710984146118163,"[0.07720140838623046, 0.07585977935791016, 0.07539791870117188, 0.0760009307861328, 0.0758256607055664, 0.07575039672851562, 0.07618399810791016, 0.0758633270263672, 0.07592291259765625, 0.07566598510742187]",tokens/s,3369.874011479358,kWh,2.338612180100002e-06,2.5782695515844666e-07,1.5509145740638663e-06,4.1473537093223155e-06,tokens/kWh,61726107.282475024,MB,1478.69696,1798.242304,0.0,1390.411776,1377.233408,s,10,11.5315078125,1.15315078125,0.009420732157273685,1.1547311401367186,1.1652214721679686,1.1661131774902342,1.1668265417480468,"[1.1529599609375, 1.1565023193359374, 1.15901416015625, 1.14597998046875, 1.160075439453125, 1.1650233154296874, 1.1398558349609376, 1.1445345458984375, 1.140557373046875, 1.1670048828125]",tokens/s,54.63292487363088,kWh,3.392155081198458e-05,3.7411917676915357e-06,1.8114184491337117e-05,5.5776927071013235e-05,tokens/kWh,1129499.2985144306,,s,630,11.52871917533875,0.01829955424656944,0.00045683104943365426,0.018227952003479004,0.018644780540466307,0.01881768684387207,0.01958206460952759,"[0.01893868827819824, 0.01852969551086426, 0.01835683250427246, 0.01823539161682129, 0.018175136566162108, 0.018379615783691405, 0.018335744857788085, 0.018201791763305664, 0.01855286407470703, 0.01823004722595215, 0.0183540153503418, 0.01809174346923828, 0.018112159729003905, 0.01813987159729004, 0.018210432052612305, 0.01826144027709961, 0.018387935638427735, 0.018468416213989258, 0.018586111068725587, 0.01854876708984375, 0.018660703659057618, 0.018496095657348634, 0.018388959884643556, 0.018207904815673828, 0.018201471328735352, 0.01817094421386719, 0.018080127716064452, 0.018104896545410157, 0.018210784912109375, 0.018325504302978517, 0.018268192291259765, 0.018257919311523436, 0.0183767032623291, 0.018130720138549803, 0.018241151809692383, 0.01851247978210449, 0.018593599319458008, 0.01833184051513672, 0.018118656158447266, 0.018137088775634767, 0.018144287109375, 0.01825606346130371, 0.018209823608398436, 0.018428831100463866, 0.018368480682373046, 0.018453535079956056, 0.0184006404876709, 0.01828713607788086, 0.018186176300048828, 0.018067455291748045, 0.018284000396728516, 0.018170400619506834, 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0.018544031143188477, 0.018531808853149413, 0.018412544250488282, 0.018390495300292967, 0.018288639068603514, 0.01833782386779785, 0.018622079849243165, 0.020173696517944335, 0.019198207855224608, 0.018476800918579103, 0.018378751754760742, 0.01834102439880371, 0.01818614387512207, 0.018111423492431642, 0.018073888778686525, 0.018521600723266602, 0.01811091232299805, 0.01834364891052246, 0.018353696823120116, 0.018184511184692383, 0.018311391830444335, 0.018529600143432617, 0.018982751846313477, 0.018254688262939453, 0.018228992462158203, 0.018249984741210937, 0.01846886444091797, 0.018679807662963867, 0.019154943466186524, 0.018548959732055663, 0.018499488830566405, 0.018371583938598633, 0.018312063217163086, 0.018302463531494142, 0.018051584243774413, 0.01840460777282715, 0.01813372802734375, 0.018313119888305664, 0.018493663787841796, 0.018943904876708984, 0.018504735946655273, 0.01836031913757324, 0.01839411163330078, 0.018332735061645507, 0.018389312744140626, 0.01848975944519043, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 27896 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,8184.229888,11080.237056,0.0,10701.766656,10468.923392,s,1,13.624958984375,13.624958984375,0.0,13.624958984375,13.624958984375,13.624958984375,13.624958984375,[13.624958984375],,kWh,0.00018848511120831972,2.078398916371034e-05,6.125671567197566e-05,0.00027052581604400573,,MB,3761.123328,11596.136448,0.0,11188.30592,10924.281856,s,10,7.1939533081054705,0.7193953308105469,0.0032105422254021195,0.7190292968750001,0.7231811035156249,0.7239746459960937,0.7246094799804688,"[0.7137408447265625, 0.7159876098632812, 0.7186414794921875, 0.71795703125, 0.7194171142578125, 0.7179682006835938, 0.719479248046875, 0.7230047607421874, 0.7247681884765625, 0.7229888305664063]",tokens/s,355.85440860668825,kWh,2.1005317179166615e-05,2.3152727821531963e-06,1.3990467541568391e-05,3.73110575028882e-05,tokens/kWh,6861236.778941025,MB,3761.123328,11598.2336,0.0,11190.403072,10924.284416,s,10,33.78362280273438,3.378362280273438,0.005775475230882454,3.3771402587890624,3.38703984375,3.387946435546875,3.388671708984375,"[3.37131494140625, 3.374577392578125, 3.373578857421875, 3.3742099609375, 3.372783447265625, 3.379703125, 3.38683837890625, 3.3818642578125, 3.3798994140625, 3.38885302734375]",tokens/s,18.64808885887185,kWh,9.891497501708878e-05,1.0910171633788415e-05,6.56877350898374e-05,0.00017551288174071458,tokens/kWh,358948.0121069973,,s,630,33.78057100677492,0.05361995397900779,0.0008795463550417683,0.053510686874389646,0.054382683181762696,0.054890793991088864,0.058187379913330076,"[0.05852979278564453, 0.05375174331665039, 0.052815937042236326, 0.053262016296386716, 0.05295135879516601, 0.052695072174072266, 0.05292192077636719, 0.05316159820556641, 0.052429214477539066, 0.05278348922729492, 0.052631553649902345, 0.052779006958007815, 0.05315980911254883, 0.05269926452636719, 0.052836353302001954, 0.052799518585205076, 0.053028129577636716, 0.05453689575195313, 0.05502153778076172, 0.05337478256225586, 0.053399776458740236, 0.053217281341552736, 0.052968734741210936, 0.0535497932434082, 0.05337443161010742, 0.05319705581665039, 0.053073566436767576, 0.05286361694335937, 0.052983680725097654, 0.0534749755859375, 0.05310512161254883, 0.053489505767822264, 0.053442718505859375, 0.053101726531982425, 0.054336353302001955, 0.05441948699951172, 0.053721057891845704, 0.054401023864746094, 0.053953536987304686, 0.053082271575927736, 0.05381792068481445, 0.05364559936523437, 0.05308620834350586, 0.053657535552978516, 0.05322963333129883, 0.053093631744384764, 0.053319873809814455, 0.0535107192993164, 0.05328076934814453, 0.05341798400878906, 0.05313740921020508, 0.05333782577514649, 0.05428047943115234, 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0.05371903991699219, 0.05334220886230469, 0.053204544067382814, 0.05276716613769531, 0.052654079437255856, 0.05338252639770508, 0.052904384613037106, 0.05319494247436524, 0.05320908737182617, 0.05298588943481446, 0.053915073394775394, 0.05389081573486328, 0.053956607818603515, 0.05488310241699219, 0.05431283187866211, 0.05366796875, 0.0542138557434082, 0.054032833099365234, 0.05354703903198242, 0.054272319793701174, 0.054013950347900394, 0.05325414276123047, 0.05343231964111328, 0.05340726470947266, 0.05287974548339844, 0.05347132873535156, 0.05343958282470703, 0.053185440063476565, 0.053731040954589845, 0.05356777572631836, 0.053611808776855466, 0.054137569427490234, 0.05404828643798828, 0.05376252746582031, 0.055103488922119144, 0.05453209686279297, 0.05363711929321289, 0.05423276901245117, 0.053778751373291016, 0.0531517448425293, 0.05371680068969727, 0.05360614395141602, 0.05313753509521484, 0.05364358520507812, 0.05971004867553711, 0.05364640045166016, 0.053104705810546875, 0.05276950454711914, 0.05255593490600586, 0.053079425811767576, 0.053241790771484374, 0.05271993637084961, 0.05284688186645508, 0.0527176628112793, 0.05285823822021484, 0.05351897430419922, 0.05378051376342773, 0.05355926513671875, 0.05422694396972656, 0.05380815887451172, 0.05355324935913086, 0.055180160522460935, 0.05505023956298828, 0.05416960144042969, 0.05358796691894531, 0.05344655990600586, 0.05317846298217774, 0.05341593551635742, 0.05334364700317383, 0.05358796691894531, 0.05305615997314453, 0.05288748931884766, 0.05343231964111328, 0.053507102966308596, 0.053730270385742185, 0.05423513412475586, 0.054040576934814455, 0.053610496520996094, 0.05430681610107422, 0.05443916702270508, 0.054136737823486325, 0.054647296905517576, 0.05401430511474609, 0.053661697387695315, 0.05292819213867188, 0.05342444610595703, 0.053515296936035156, 0.05364835357666015, 0.05352447891235351, 0.05315379333496094, 0.05410172653198242, 0.05359439849853516, 0.05410819244384766, 0.053579742431640626, 0.05389267349243164, 0.05517475128173828, 0.053863262176513674, 0.05396275329589844, 0.055100513458251954, 0.05372406387329102, 0.054335487365722655, 0.05394563293457031, 0.053752513885498045, 0.05343356704711914, 0.05438105773925781, 0.05357395172119141, 0.05347635269165039]",tokens/s,18.649773559885933,,,
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4925.566976,7227.768832,0.0,6849.298432,6445.09696,s,1,11.7717197265625,11.7717197265625,0.0,11.7717197265625,11.7717197265625,11.7717197265625,11.7717197265625,[11.7717197265625],,kWh,0.00012844015038757182,1.4160420944724027e-05,4.179503343604285e-05,0.0001843956047683387,,MB,2807.660544,7559.118848,0.0,7151.28832,6823.319552,s,10,3.5995702514648436,0.35995702514648437,0.002581422794684266,0.3598522186279297,0.3623224304199219,0.3633622039794922,0.36419402282714847,"[0.3542107238769531, 0.35824066162109375, 0.3620205078125, 0.3598674011230469, 0.35879513549804687, 0.3598370361328125, 0.35945697021484374, 0.3606484680175781, 0.3644019775390625, 0.36209136962890626]",tokens/s,711.1960098454,kWh,1.0511655587500475e-05,1.1586021996240848e-06,6.9803726477873126e-06,1.865063043491187e-05,tokens/kWh,13726077.565764047,MB,2807.660544,7561.216,0.0,7153.385472,6823.322112,s,10,20.433365112304685,2.0433365112304687,0.004517455761130949,2.0419090576171874,2.048548193359375,2.050531665039063,2.0521184423828127,"[2.05251513671875, 2.0403682861328125, 2.048107421875, 2.042965576171875, 2.0398515625, 2.0364364013671876, 2.0408525390625, 2.040412841796875, 2.0455999755859375, 2.04625537109375]",tokens/s,30.83192594746045,kWh,5.879838770042018e-05,6.4856176940007134e-06,3.89495252072087e-05,0.0001042335306016296,tokens/kWh,604412.0316789409,,s,630,20.430577440261853,0.032429488000415625,0.0006968669825549724,0.03233548927307128,0.03280437545776367,0.03304746971130371,0.03600647537231446,"[0.036607009887695316, 0.032174240112304686, 0.032224319458007813, 0.0319997444152832, 0.032126976013183595, 0.03224518585205078, 0.03227500915527344, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,11031.482368,12225.282048,0.0,11846.811648,11814.785024,s,1,14.1742060546875,14.1742060546875,0.0,14.1742060546875,14.1742060546875,14.1742060546875,14.1742060546875,[14.1742060546875],,kWh,0.0002060095365125221,2.2711510691751467e-05,6.820699901001481e-05,0.0002969280462142884,,MB,2041.421824,13158.514688,0.0,12750.68416,12632.68864,s,10,11.269819213867187,1.126981921386719,0.0009837382519498324,1.1272222290039062,1.1280132080078127,1.1280138671875,1.12801439453125,"[1.124601806640625, 1.1260865478515625, 1.126607421875, 1.1271981201171875, 1.1273677978515626, 1.127246337890625, 1.126885498046875, 1.1280145263671875, 1.127798095703125, 1.1280130615234376]",tokens/s,227.1553741385659,kWh,3.29439294770835e-05,3.6311154198365797e-06,2.189140640200121e-05,5.846645129892129e-05,tokens/kWh,4378579.412852499,MB,2045.68576,13431.144448,0.0,13023.31392,12936.608256,s,10,48.449287109375,4.8449287109375,0.011159043985337812,4.8456611328125,4.8569484375,4.8600782226562504,4.86258205078125,"[4.82113916015625, 4.83734375, 4.8402119140625, 4.8375341796875, 4.85026513671875, 4.852009765625, 4.84683984375, 4.8562529296875, 4.844482421875, 4.8632080078125]",tokens/s,13.003287304883669,kWh,0.00014183703294833096,1.5647829244971095e-05,9.426238096539863e-05,0.00025174724315870067,tokens/kWh,250251.00259105916,,s,630,48.44516996765141,0.0768970951867482,0.0009903678534263585,0.07707817459106445,0.07788375549316406,0.07814800834655762,0.07881736396789552,"[0.07785676574707032, 0.07526579284667968, 0.0757882537841797, 0.07408258819580078, 0.0748359375, 0.07607504272460938, 0.07666191864013672, 0.07567622375488281, 0.0742996826171875, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3548.471296,4490.985472,0.0,4112.515072,3976.487424,s,1,9.674736328125,9.674736328125,0.0,9.674736328125,9.674736328125,9.674736328125,9.674736328125,[9.674736328125],,kWh,8.025016947500205e-05,8.844910268695005e-06,2.7366133003997595e-05,0.00011646121274769465,,MB,1480.708096,4690.214912,0.0,4282.384384,4102.199808,s,10,3.0004592285156244,0.3000459228515625,0.002382701810579694,0.30021560668945313,0.30208082580566403,0.3034429244995117,0.3045326034545899,"[0.2961402893066406, 0.2970372619628906, 0.3009500427246094, 0.3017781372070312, 0.3001174621582031, 0.29800216674804686, 0.29995126342773437, 0.30031375122070314, 0.3048050231933594, 0.30136383056640625]",tokens/s,853.2027283258478,kWh,8.738438462867693e-06,9.636931963324836e-07,5.819645178588244e-06,1.5521776837788418e-05,tokens/kWh,16492957.13212145,MB,1489.108992,4698.60352,0.0,4290.772992,4102.202368,s,10,17.7380908203125,1.77380908203125,0.009381673081748462,1.7759326782226563,1.7821324951171875,1.7833516479492186,1.7843269702148437,"[1.762597412109375, 1.7813135986328126, 1.78457080078125, 1.781861572265625, 1.7780919189453126, 1.751927734375, 1.7751317138671876, 1.7761566162109375, 1.775708740234375, 1.770730712890625]",tokens/s,35.516787369166316,kWh,5.201708206213239e-05,5.737347936559142e-06,3.4305164699011866e-05,9.20595946977034e-05,tokens/kWh,684339.315275865,,s,630,17.73558416748047,0.028151720900762647,0.0005233327945577362,0.02804528045654297,0.02865833911895752,0.02905292730331421,0.030192383632659914,"[0.029214719772338867, 0.028591264724731447, 0.02875859260559082, 0.02827008056640625, 0.0282061767578125, 0.027969215393066408, 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0.0277509765625, 0.027936767578125, 0.02906284713745117, 0.029065536499023437, 0.028401376724243164, 0.027666719436645507, 0.028359872817993164, 0.030460735321044922, 0.030402559280395508, 0.029736640930175782, 0.029134496688842774, 0.029231775283813478, 0.02906857681274414, 0.028383359909057618, 0.02871766471862793, 0.027420448303222655, 0.028801248550415038, 0.028780160903930666, 0.028649280548095703, 0.02897724723815918, 0.030394847869873048, 0.029533824920654296, 0.028655040740966798, 0.027595712661743165, 0.02750054359436035, 0.028804512023925782, 0.02987654495239258, 0.029278495788574218, 0.029147136688232423, 0.029703872680664063, 0.029681983947753905, 0.02930633544921875, 0.028993888854980467, 0.02929871940612793, 0.02915305519104004, 0.028952320098876952, 0.030128671646118165, 0.029552703857421876, 0.03210588836669922, 0.02944879913330078, 0.028563199996948244, 0.02880281639099121, 0.028264959335327147, 0.02757212829589844, 0.027670623779296875, 0.027527328491210937, 0.02826019287109375, 0.02908345603942871, 0.028698816299438476, 0.027584512710571288, 0.02759065628051758, 0.02790809631347656, 0.028243648529052735, 0.028757856369018554, 0.029156864166259764, 0.028928159713745117, 0.029430591583251953, 0.02897305679321289, 0.028297216415405273, 0.027876447677612305, 0.027960224151611326, 0.028499967575073244, 0.027682815551757813, 0.027893760681152343, 0.028526496887207032, 0.02773955154418945, 0.028209856033325195, 0.029057024002075195, 0.02964179229736328, 0.029565887451171877, 0.029013376235961914, 0.029913728713989257, 0.029327360153198243, 0.02859779167175293, 0.02831817626953125, 0.027596128463745116, 0.028641984939575194, 0.02966524887084961, 0.029534208297729493, 0.02853887939453125, 0.028006399154663086, 0.028925216674804688, 0.03010211181640625, 0.02967900848388672, 0.029370271682739257, 0.028912448883056642, 0.02792038345336914, 0.02856550407409668, 0.02892995262145996, 0.030169183731079102, 0.029775871276855468, 0.029261823654174804, 0.029005311965942384, 0.029069440841674805, 0.029980863571166992, 0.029673055648803712, 0.029737567901611327, 0.029198335647583007, 0.02897100830078125, 0.029057024002075195, 0.029582880020141603, 0.03211884689331055, 0.029147136688232423, 0.02846031951904297, 0.027697887420654297, 0.027885087966918944, 0.028352991104125976, 0.028851648330688477, 0.029515647888183595, 0.028973760604858397, 0.02792857551574707, 0.02781955146789551, 0.02912918472290039, 0.029400896072387696, 0.028452255249023437, 0.027707584381103517, 0.02823360061645508, 0.029260320663452147, 0.02954022407531738, 0.02847148895263672, 0.02872563171386719, 0.02875366401672363, 0.029419519424438476, 0.029122560501098634, 0.028255807876586915, 0.027680831909179686, 0.02866419219970703, 0.030228063583374022, 0.029621696472167967, 0.029305728912353515, 0.028821599960327147, 0.028109920501708983, 0.02910095977783203, 0.030103551864624024, 0.029800447463989257, 0.028933696746826172, 0.029706687927246095, 0.029026304244995117, 0.029446016311645506, 0.029431583404541016, 0.030105951309204102, 0.030003200531005858, 0.029421567916870117, 0.02910310363769531, 0.029535232543945314, 0.029419519424438476, 0.028901376724243165, 0.027729055404663087, 0.027479904174804688, 0.027491167068481447, 0.02749251174926758, 0.027922431945800782, 0.029416479110717774, 0.029783008575439453, 0.029648832321166992, 0.029902048110961914, 0.029571456909179686, 0.029051359176635743, 0.028383232116699218, 0.028180383682250978, 0.029373823165893556, 0.03010633659362793, 0.02998067283630371, 0.029626047134399414]",tokens/s,34.599357419492044,,,
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2193.874944,2486.10816,0.0,2107.63776,1984.899072,s,1,8.646224609375,8.646224609375,0.0,8.646224609375,8.646224609375,8.646224609375,8.646224609375,[8.646224609375],,kWh,5.23868538958671e-05,5.771400339708608e-06,1.7365847226002984e-05,7.55241014615787e-05,,MB,2219.184128,2781.806592,0.0,2373.976064,2247.84384,s,10,1.5936590423583983,0.15936590423583982,0.0005326781635457881,0.15929850006103516,0.15965512542724608,0.1601829704284668,0.16060524642944335,"[0.1607108154296875, 0.15953782653808593, 0.1590572509765625, 0.15952720642089843, 0.15938755798339843, 0.15948480224609374, 0.15920944213867189, 0.15853050231933594, 0.15904937744140624, 0.1591642608642578]",tokens/s,1606.3661874697796,kWh,4.751470376276601e-06,5.239947012396316e-07,3.161127080870649e-06,8.436592158386882e-06,tokens/kWh,30344005.63567701,MB,2220.621824,2865.692672,0.0,2457.862144,2341.346816,s,10,15.49423681640625,1.549423681640625,0.01236509743194837,1.5456995849609374,1.5683415161132812,1.5730599792480469,1.5768347497558595,"[1.5434661865234376, 1.5443287353515625, 1.5384366455078125, 1.5373388671875, 1.5470704345703126, 1.547352783203125, 1.5412177734375, 1.5499539794921875, 1.5777784423828125, 1.56729296875]",tokens/s,40.660279526185974,kWh,4.6381450148306314e-05,5.1154417775501975e-06,2.863289835433217e-05,8.012979028018868e-05,tokens/kWh,786224.4463601966,,s,630,15.491415399551387,0.024589548253256176,0.0004737422126479425,0.024426400184631346,0.025178885650634766,0.025357644176483153,0.026356863498687745,"[0.025246559143066408, 0.024980703353881837, 0.025242399215698243, 0.02483305549621582, 0.0245831356048584, 0.02435686492919922, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 223697 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7394.029568,7808.679936,0.0,7430.209536,7414.23104,s,1,11.6087958984375,11.6087958984375,0.0,11.6087958984375,11.6087958984375,11.6087958984375,11.6087958984375,[11.6087958984375],,kWh,0.00013641785669166968,1.5039798885584721e-05,4.55058697379912e-05,0.0001969635253152456,,MB,1705.480192,8574.140416,0.0,8166.309888,8044.111872,s,10,7.060970458984374,0.7060970458984375,0.0011264210878099625,0.7062753601074219,0.7073542114257813,0.7075199401855469,0.7076525231933594,"[0.7037373046875, 0.7047920532226563, 0.7063265991210937, 0.70622412109375, 0.7055739135742187, 0.7057803955078125, 0.7065865478515625, 0.7073173828125, 0.7076856689453125, 0.7069464721679688]",tokens/s,362.5563957349032,kWh,2.063900946333206e-05,2.2761256128991876e-06,1.3666640562932467e-05,3.658177563916372e-05,tokens/kWh,6998020.06674415,MB,1711.550464,8741.912576,0.0,8334.082048,8265.686528,s,10,31.494411376953124,3.1494411376953124,0.00693604709210387,3.148900146484375,3.1596987304687496,3.16015576171875,3.16052138671875,"[3.13799658203125, 3.140945068359375, 3.146510009765625, 3.147779296875, 3.15002099609375, 3.145820068359375, 3.15088232421875, 3.16061279296875, 3.1542470703125, 3.15959716796875]",tokens/s,20.003548961737994,kWh,9.221209574208425e-05,1.0171450241856433e-05,6.134283611126853e-05,0.0001637263820952092,tokens/kWh,384788.3230166572,,s,630,31.49077796554566,0.04998536185007246,0.0006632363913626596,0.049945600509643556,0.05066940574645996,0.050867183113098145,0.051667712059021,"[0.05168320083618164, 0.049449089050292966, 0.04885289764404297, 0.0493548469543457, 0.0495302734375, 0.04914006423950195, 0.049039070129394534, 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4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
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0.018832895278930666, 0.018921215057373045, 0.019004383087158204, 0.018935840606689455, 0.018824960708618162, 0.01885593605041504, 0.018804767608642577, 0.019825664520263672, 0.018900192260742188, 0.018848831176757813, 0.019108543395996092, 0.018970624923706055, 0.01886591911315918, 0.018827520370483398, 0.018851839065551757, 0.018843839645385742, 0.01869923210144043, 0.019450719833374024, 0.01880473518371582, 0.018903039932250978, 0.018827104568481447, 0.018771711349487304, 0.018823583602905272, 0.01901468849182129, 0.019045343399047853, 0.018797760009765626]",tokens/s,54.67230889894254,,,
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3128.594432,4369.350656,0.0,3990.880256,3908.719616,s,1,10.4420439453125,10.4420439453125,0.0,10.4420439453125,10.4420439453125,10.4420439453125,10.4420439453125,[10.4420439453125],,kWh,9.952271615411518e-05,1.0970786173134378e-05,3.213197014997893e-05,0.00014262547247722847,,MB,3179.76576,4725.866496,0.0,4318.035968,4274.555904,s,10,2.15499136352539,0.215499136352539,0.0018707195778059705,0.2153262405395508,0.21774974975585937,0.2177758834838867,0.2177967904663086,"[0.21505363464355468, 0.21228501892089843, 0.2140268096923828, 0.21306515502929688, 0.21755984497070313, 0.21780201721191406, 0.21680245971679687, 0.21774394226074217, 0.21520895385742186, 0.2154435272216797]",tokens/s,1187.9397956435653,kWh,6.569238207130856e-06,7.244694912347458e-07,4.345781254399489e-06,1.1639488952765092e-05,tokens/kWh,21994092.78524933,MB,3181.510656,4727.963648,0.0,4320.13312,4274.558464,s,10,31.113200927734376,3.1113200927734375,0.011244953616570474,3.113736328125,3.122223779296875,3.1230088623046877,3.1236369287109373,"[3.1237939453125, 3.09076123046875, 3.120275634765625, 3.11411083984375, 3.11336181640625, 3.12204931640625, 3.111911376953125, 3.089753173828125, 3.112337158203125, 3.114846435546875]",tokens/s,20.248639844652455,kWh,9.059633147994427e-05,9.992893618104263e-06,4.7238454457402324e-05,0.00014782767955545087,tokens/kWh,426171.879241116,,s,630,31.109904785156225,0.04938080124627977,0.000835842498500185,0.0493242073059082,0.049889156723022465,0.05036906566619873,0.05271712337493898,"[0.050149375915527344, 0.04960255813598633, 0.049223678588867184, 0.049248096466064456, 0.04950236892700195, 0.04911513519287109, 0.049127422332763675, 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0.049582080841064455, 0.050132991790771485, 0.04927897644042969, 0.04920304107666015, 0.049299488067626955, 0.04902076721191406, 0.048994464874267576, 0.04874431991577149, 0.04864131164550781, 0.048710208892822265, 0.04857427215576172, 0.04873622512817383, 0.04929753494262695, 0.04912761688232422, 0.0489323844909668, 0.04909545516967773, 0.049091934204101566, 0.04916252899169922, 0.04927321624755859, 0.049192512512207034, 0.049358463287353514, 0.04933868789672852, 0.04921395111083984, 0.04903436660766602, 0.049895519256591796, 0.04951724624633789, 0.04949020767211914, 0.04952431869506836, 0.049418464660644534, 0.04953724670410156, 0.04866230392456055, 0.048234657287597654, 0.04877807998657226, 0.0520711669921875, 0.04949967956542969, 0.0491445426940918, 0.049324031829833984, 0.04936703872680664, 0.049153217315673826, 0.04949484634399414, 0.049170433044433595, 0.04914729690551758, 0.04967484664916992, 0.049213409423828125, 0.04951033782958984, 0.04935507202148438, 0.04930310440063477, 0.05007177734375, 0.04949139022827148, 0.04973625564575195, 0.049500160217285157, 0.049622337341308595, 0.04934064102172851, 0.04949244689941406, 0.04994867324829102, 0.049410049438476565, 0.04942598342895508, 0.049460670471191404, 0.04969526290893555, 0.0501049919128418, 0.05339321517944336, 0.04979859161376953]",tokens/s,20.250785219394096,,,
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: DeciLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7160.369152,10246.5536,0.0,9860.808704,9797.323264,s,1,12.4646513671875,12.4646513671875,0.0,12.4646513671875,12.4646513671875,12.4646513671875,12.4646513671875,[12.4646513671875],,kWh,0.00015677204867916618,1.7285749644863794e-05,5.235254188200311e-05,0.00022641034020603307,,MB,3021.86496,10626.138112,0.0,10211.033088,10096.835072,s,10,7.4292164916992185,0.7429216491699219,0.006665599289488292,0.745841552734375,0.7476935180664063,0.7480543090820313,0.7483429418945312,"[0.724827880859375, 0.7396456298828125, 0.7405772705078125, 0.7466072387695313, 0.742830810546875, 0.746778564453125, 0.7450758666992188, 0.7468447875976563, 0.7484151000976562, 0.7476133422851563]",tokens/s,344.5854623916706,kWh,2.1602723358332317e-05,2.3816632340083317e-06,1.4358027359428244e-05,3.834241395176889e-05,tokens/kWh,6676679.259736323,MB,3032.02304,10628.235264,0.0,10213.13024,10096.837632,s,10,34.91660595703125,3.491660595703125,0.0033925189934705976,3.4927337646484373,3.4947266357421873,3.495775061035156,3.496613801269531,"[3.4855791015625, 3.49337255859375, 3.48746923828125, 3.492094970703125, 3.4898974609375, 3.488794189453125, 3.49424609375, 3.493835205078125, 3.496823486328125, 3.49449365234375]",tokens/s,18.042990798569733,kWh,0.00010236015592375187,1.1291553674374102e-05,6.807223302917203e-05,0.00018172394262729795,tokens/kWh,346679.6894738754,,s,630,34.91343323135378,0.055418147986275805,0.0006959057097443701,0.05533124923706055,0.05586218299865722,0.05606899890899658,0.05975755733489991,"[0.059810592651367185, 0.05535657501220703, 0.0547476806640625, 0.05444992065429687, 0.05470790481567383, 0.05490345764160156, 0.05468796920776367, 0.05472988891601562, 0.05507977676391602, 0.05479401779174805, 0.05489459228515625, 0.055245025634765625, 0.05528985595703125, 0.05506028747558594, 0.05479443359375, 0.05519564819335938, 0.055344993591308594, 0.055715999603271484, 0.05568716812133789, 0.05533235168457031, 0.05511743927001953, 0.054827743530273435, 0.05509545516967773, 0.05528307342529297, 0.054994815826416014, 0.05482358551025391, 0.05517081451416016, 0.05533116912841797, 0.055174720764160155, 0.05498720169067383, 0.055162113189697264, 0.05522713470458984, 0.055041152954101565, 0.05533935928344726, 0.05553129577636719, 0.055470848083496095, 0.05608243179321289, 0.05520147323608399, 0.05537814331054688, 0.055203937530517576, 0.05506662368774414, 0.05509939193725586, 0.055314430236816405, 0.0550645751953125, 0.055076862335205076, 0.055154399871826174, 0.05548812866210937, 0.055177886962890624, 0.05527142333984375, 0.05525299072265625, 0.05571379089355469, 0.055384063720703126, 0.055431167602539064, 0.05564166259765625, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 111970 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3894, in from_pretrained
    hf_quantizer.preprocess_model(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model
    return self._process_model_before_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 85, in _process_model_before_weight_loading
    model, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  [Previous line repeated 1 more time]
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 166, in replace_with_awq_linear
    model._modules[name] = target_cls(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/gemm.py"", line 131, in __init__
    assert out_features % (32 // self.w_bit) == 0
AssertionError

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1542.725632,1546.584064,0.0,1168.113664,1154.613248,s,1,8.49350390625,8.49350390625,0.0,8.49350390625,8.49350390625,8.49350390625,8.49350390625,[8.49350390625],,kWh,4.117946988750039e-05,4.534977710168172e-06,1.3313066206013802e-05,5.902751380368236e-05,,MB,1532.3136,1777.270784,0.0,1369.440256,1323.44832,s,10,0.7752161865234374,0.07752161865234375,0.0008892316428154286,0.07745612716674805,0.07800702743530273,0.07897365608215332,0.0797469589996338,"[0.07994028472900391, 0.0769590072631836, 0.07756575775146485, 0.07749362945556641, 0.07741862487792969, 0.07645967864990234, 0.07779222106933593, 0.07695645141601562, 0.07706829071044922, 0.07756224060058593]",tokens/s,3302.304627410669,kWh,2.483743855932555e-06,2.73911777137436e-07,1.6543563140676495e-06,4.41201194713764e-06,tokens/kWh,58023414.95609138,MB,1535.668224,1798.242304,0.0,1390.411776,1377.26208,s,10,14.564807617187501,1.4564807617187499,0.012264741907122768,1.4549331665039062,1.4655761474609377,1.475623583984375,1.483661533203125,"[1.447943603515625, 1.4488612060546875, 1.4510828857421876, 1.45186474609375, 1.4580015869140626, 1.4856710205078125, 1.4610059814453125, 1.4633433837890626, 1.46022216796875, 1.43681103515625]",tokens/s,43.254948266982645,kWh,4.219580011198176e-05,4.653848486550735e-06,2.0553828119132958e-05,6.740347671766544e-05,tokens/kWh,934669.8874879943,,s,630,14.562426942825304,0.023114963401310026,0.0011230676053886127,0.022984591484069825,0.023376509284973146,0.023573486328125,0.02451666646957398,"[0.02337593650817871, 0.0228723201751709, 0.02276927947998047, 0.022599359512329102, 0.022639583587646485, 0.022726367950439454, 0.02265497589111328, 0.02265907287597656, 0.022983999252319337, 0.02302227210998535, 0.023000608444213866, 0.022987232208251954, 0.022992416381835936, 0.02297494316101074, 0.02308710479736328, 0.02312598419189453, 0.02322640037536621, 0.02326118469238281, 0.02336355209350586, 0.023187007904052735, 0.02308691215515137, 0.023191904067993162, 0.02300124740600586, 0.023142559051513672, 0.02305830383300781, 0.02309065628051758, 0.022999711990356445, 0.022925216674804686, 0.02297612762451172, 0.022876127243041992, 0.022929567337036133, 0.022913536071777343, 0.022762399673461914, 0.02286262321472168, 0.023071935653686523, 0.023212640762329102, 0.023346912384033202, 0.023265439987182616, 0.023296512603759766, 0.02336992073059082, 0.023311552047729493, 0.02293209648132324, 0.022820768356323243, 0.022863967895507813, 0.022796287536621093, 0.022816768646240236, 0.02287820816040039, 0.022775264739990236, 0.022740831375122072, 0.022685407638549804, 0.02294268798828125, 0.022877216339111328, 0.022834144592285156, 0.023060480117797853, 0.022962175369262695, 0.022964319229125976, 0.02293494415283203, 0.022858240127563476, 0.0229182071685791, 0.022844160079956054, 0.02286947250366211, 0.022984895706176758, 0.023154943466186524, 0.022935552597045897, 0.022816543579101563, 0.022840896606445314, 0.022944639205932617, 0.022894079208374024, 0.022872159957885742, 0.02289628791809082, 0.022957727432250975, 0.022783039093017578, 0.02294700813293457, 0.022874080657958984, 0.022942527770996094, 0.022834463119506834, 0.02288902473449707, 0.02274492835998535, 0.022851423263549806, 0.02287593650817871, 0.022805023193359374, 0.02280243110656738, 0.02275328063964844, 0.02290483283996582, 0.023350400924682616, 0.023073408126831056, 0.022804000854492187, 0.022870752334594728, 0.022829055786132812, 0.022861024856567384, 0.022836095809936525, 0.02292665672302246, 0.023068351745605467, 0.023069599151611327, 0.02309459114074707, 0.023175615310668946, 0.023474431991577147, 0.023201791763305665, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 27384 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,8197.865472,11078.139904,0.0,10699.669504,10468.411392,s,1,13.45709765625,13.45709765625,0.0,13.45709765625,13.45709765625,13.45709765625,13.45709765625,[13.45709765625],,kWh,0.0001882311869374765,2.0753804868426186e-05,6.216949417997553e-05,0.00027115448598587824,,MB,3945.213952,11596.136448,0.0,11188.30592,10923.769856,s,10,7.943306579589843,0.7943306579589844,0.0047716555835403416,0.794206756591797,0.7988052307128907,0.800322964477539,0.8015371514892579,"[0.784219970703125, 0.7924779052734375, 0.7932594604492188, 0.7914694213867187, 0.8018406982421875, 0.795154052734375, 0.7906920776367188, 0.7984679565429688, 0.79746826171875, 0.7982567749023437]",tokens/s,322.28392223685097,kWh,2.3125247469863842e-05,2.550328321795675e-06,1.5457726041385905e-05,4.113330183304542e-05,tokens/kWh,6223667.651069438,MB,3945.213952,11598.2336,0.0,11190.403072,10923.772416,s,10,35.77825537109375,3.577825537109375,0.005760191824826535,3.5798658447265623,3.58402451171875,3.5842446777343753,3.584420810546875,"[3.56743115234375, 3.57274609375, 3.56941748046875, 3.576769287109375, 3.5807265625, 3.58446484375, 3.579005126953125, 3.582830322265625, 3.580888916015625, 3.5839755859375]",tokens/s,17.60846059891994,kWh,0.00010474067334097117,1.1553485363672723e-05,6.941428630061068e-05,0.00018570844500525457,tokens/kWh,339241.43836440734,,s,630,35.7751304016113,0.05678592127239893,0.0007543399283584048,0.056694927215576174,0.05728260116577148,0.057606292915344234,0.06109767765045166,"[0.06104678344726563, 0.0568721923828125, 0.05640176010131836, 0.05626144027709961, 0.05611859130859375, 0.05637529754638672, 0.05663616180419922, 0.05645075225830078, 0.05637263870239258, 0.055994464874267576, 0.056225761413574216, 0.056209632873535156, 0.056580894470214846, 0.05636288070678711, 0.05614960098266602, 0.05589443206787109, 0.056635391235351565, 0.05762870407104492, 0.057264095306396486, 0.05636710357666016, 0.05656576156616211, 0.055984127044677735, 0.05602886581420898, 0.056226112365722655, 0.05611635208129883, 0.055866432189941403, 0.05608995056152344, 0.05687753677368164, 0.05641372680664063, 0.056235488891601564, 0.056392318725585935, 0.05638387298583984, 0.056239776611328125, 0.056869216918945316, 0.05690572738647461, 0.05664153671264648, 0.057019489288330075, 0.05674662399291992, 0.05665203094482422, 0.05625654220581055, 0.05695283126831055, 0.05671315383911133, 0.05638931274414063, 0.0564854736328125, 0.05685702514648437, 0.05692851257324219, 0.05634467315673828, 0.056270305633544924, 0.056752670288085935, 0.05655551910400391, 0.05676614379882813, 0.05675980758666992, 0.05677753448486328, 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0.05706547164916992, 0.057059326171875, 0.05731068801879883, 0.056686241149902346, 0.056722305297851563, 0.05636640167236328, 0.05653369522094726, 0.05657964706420898, 0.05673740768432617, 0.05680748748779297, 0.05657881546020508, 0.056899585723876954, 0.05698332977294922, 0.0567946891784668, 0.056885089874267575, 0.056742721557617185, 0.057048095703125, 0.05748630523681641, 0.05718425750732422, 0.05711183929443359, 0.05693008041381836, 0.056983871459960936, 0.05702105712890625, 0.056809249877929686, 0.05679740905761719, 0.056641216278076174, 0.05702892684936523, 0.05739724731445312, 0.06168371200561523, 0.05670912170410156, 0.05594879913330078, 0.055761409759521485, 0.056280830383300784, 0.055890174865722654, 0.05582640075683594, 0.056550590515136716, 0.056293663024902345, 0.056046142578125, 0.057369792938232425, 0.057072574615478516, 0.0571226577758789, 0.05672700881958008, 0.057131584167480466, 0.05670665740966797, 0.05688361740112305, 0.05783347320556641, 0.057761791229248044, 0.05732352066040039, 0.0566640625, 0.056202529907226566, 0.05634860610961914, 0.05648873519897461, 0.056469024658203124, 0.0563707504272461, 0.056112033843994144, 0.0563507194519043, 0.056303390502929686, 0.056387680053710934, 0.055979839324951174, 0.05595577621459961, 0.05664767837524414, 0.057320831298828125, 0.05727910232543945, 0.05697945785522461, 0.057112575531005856, 0.05705833435058594, 0.056715904235839845, 0.05672585678100586, 0.05713510513305664, 0.0566927375793457, 0.05650022506713867, 0.05670502471923828, 0.05694460678100586, 0.056833953857421876, 0.05698537445068359, 0.05672175979614258, 0.05672367858886719, 0.056839969635009764, 0.05722304153442383, 0.057079936981201174, 0.05722534561157227, 0.057433982849121094, 0.05732352066040039, 0.057427967071533206, 0.05719244766235351, 0.05709388732910156, 0.056669471740722656, 0.05651068878173828, 0.057086719512939456, 0.05701551818847656, 0.05685532760620117, 0.06136342239379883, 0.05695318222045898, 0.05648854446411133, 0.056069984436035156, 0.05587558364868164, 0.05600249481201172, 0.05608262252807617, 0.055869312286376954, 0.05610934448242187, 0.055835582733154296, 0.05591939163208008, 0.05662656021118164, 0.056871551513671875, 0.05648588943481445, 0.05651827239990234, 0.05707321548461914, 0.05778515243530274, 0.05780889511108398, 0.057587039947509765, 0.057114334106445314, 0.05664863967895508, 0.05661859130859375, 0.056586334228515625, 0.05643500900268555, 0.05655299377441406, 0.056560096740722654, 0.05659852981567383, 0.056406017303466796, 0.056774654388427735, 0.05695484924316406, 0.0563546257019043, 0.05677008056640625, 0.057082561492919924, 0.0573908462524414, 0.058119552612304684, 0.057770881652832035, 0.05704499053955078, 0.05688649749755859, 0.05655590438842773, 0.05680374526977539, 0.0568682861328125, 0.056583934783935544, 0.0566544303894043, 0.056807647705078124, 0.05668364715576172, 0.05710435104370117, 0.05686947250366211, 0.05674220657348633, 0.05661859130859375, 0.05717203140258789, 0.05745904159545898, 0.05728988647460938, 0.05798963165283203, 0.05721942520141601, 0.056764415740966793, 0.05706137466430664, 0.05724063873291016, 0.05680633544921875, 0.056799232482910154, 0.05685164642333984, 0.05673654556274414, 0.056977344512939454, 0.05699388885498047]",tokens/s,17.60999870378179,,,
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4917.706752,7227.768832,0.0,6849.298432,6444.4416,s,1,11.1887177734375,11.1887177734375,0.0,11.1887177734375,11.1887177734375,11.1887177734375,11.1887177734375,[11.1887177734375],,kWh,0.00012569621067492942,1.385766822740644e-05,4.088281048403308e-05,0.00018043668938636895,,MB,2799.86176,7559.118848,0.0,7151.28832,6822.664192,s,10,4.020862365722656,0.4020862365722656,0.003901422977759983,0.4032820281982422,0.4047774627685547,0.40488236846923825,0.40496629302978515,"[0.39109088134765624, 0.4041576232910156, 0.4045347595214844, 0.40344390869140623, 0.404754150390625, 0.40246356201171873, 0.40498727416992186, 0.4005614929199219, 0.40312014770507815, 0.4017485656738281]",tokens/s,636.679340686634,kWh,1.1629275077404182e-05,1.2824702195391937e-06,7.747196368695065e-06,2.065894166563844e-05,tokens/kWh,12391728.68307185,MB,2799.86176,7561.216,0.0,7153.385472,6822.666752,s,10,26.55316528320312,2.655316528320312,0.022885641151044064,2.650044189453125,2.68346796875,2.6880259765625,2.6916723828125,"[2.6769189453125, 2.654231201171875, 2.692583984375, 2.672745361328125, 2.631368896484375, 2.645857177734375, 2.629407470703125, 2.627463623046875, 2.640133544921875, 2.682455078125]",tokens/s,23.725984954363334,kWh,7.841556979218403e-05,8.649395373571439e-06,5.191951803130231e-05,0.00013898448319705776,tokens/kWh,453288.01137229166,,s,630,26.55058037567139,0.042143778374081564,0.0007510202816334307,0.04209764862060547,0.042799008941650396,0.04308290672302246,0.04451943481445315,"[0.043050369262695315, 0.042723968505859376, 0.04230339050292969, 0.042414176940917966, 0.043726081848144534, 0.04287907028198242, 0.042371681213378906, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,11125.399552,12225.282048,0.0,11846.811648,11814.785024,s,1,14.380548828125,14.380548828125,0.0,14.380548828125,14.380548828125,14.380548828125,14.380548828125,[14.380548828125],,kWh,0.0002051947944083281,2.2627169896284204e-05,6.826366572199039e-05,0.0002960856300266027,,MB,2025.725952,13158.514688,0.0,12750.68416,12632.68864,s,10,13.033351928710939,1.303335192871094,0.0030176019811829413,1.30350146484375,1.3065957397460939,1.307156756591797,1.3076055700683595,"[1.2995831298828124, 1.2985087890625, 1.3007293701171876, 1.302571044921875, 1.301576904296875, 1.304431884765625, 1.3059696044921876, 1.3077177734375, 1.3057923583984374, 1.3064710693359376]",tokens/s,196.4191570980771,kWh,3.8096743162915723e-05,4.20160009565377e-06,2.54181314456009e-05,6.77164747041704e-05,tokens/kWh,3780468.506642948,MB,2029.989888,13431.144448,0.0,13023.31392,12936.694272,s,10,48.8005390625,4.88005390625,0.005832230603029691,4.881221435546875,4.8853884765625,4.8875189453125,4.8892233203125,"[4.876849609375, 4.868734375, 4.87260205078125, 4.8784443359375, 4.88436376953125, 4.8896494140625, 4.8816982421875, 4.88074462890625, 4.88253759765625, 4.8849150390625]",tokens/s,12.909693460417397,kWh,0.00014267798116250106,1.5738480656990593e-05,9.457529788239882e-05,0.0002529917597018905,tokens/kWh,249019.96837460322,,s,630,48.79621814727783,0.07745431451948863,0.000700290987406876,0.07746585845947265,0.07827880630493164,0.07849911270141602,0.079734945602417,"[0.07999199676513671, 0.07639737701416016, 0.0753826904296875, 0.07479312133789062, 0.07575341033935547, 0.0764651870727539, 0.07665968322753906, 0.0768532485961914, 0.07630847930908204, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3549.26592,4490.985472,0.0,4112.515072,3975.832064,s,1,9.7483212890625,9.7483212890625,0.0,9.7483212890625,9.7483212890625,9.7483212890625,9.7483212890625,[9.7483212890625],,kWh,8.036910985833382e-05,8.857929561269235e-06,2.728752183000019e-05,0.00011651456124960323,,MB,1460.297728,4688.11776,0.0,4280.287232,4101.544448,s,10,3.156000061035156,0.31560000610351563,0.0014197231289403167,0.3160218505859375,0.31709080505371096,0.317126579284668,0.3171551986694336,"[0.3167412109375, 0.3138393859863281, 0.3138292846679688, 0.31702584838867187, 0.31340982055664063, 0.3163779296875, 0.3148656005859375, 0.317162353515625, 0.3170828552246094, 0.315665771484375]",tokens/s,811.1533429946543,kWh,9.521249536693518e-06,1.0498812832248867e-06,6.354906517612905e-06,1.6926037337531308e-05,tokens/kWh,15124626.92211797,MB,1471.7952,4698.60352,0.0,4290.772992,4101.547008,s,10,23.867243652343753,2.3867243652343753,0.012184962469175376,2.3887918701171875,2.3986919921874996,2.401724658203125,2.404150791015625,"[2.367410888671875, 2.395916748046875, 2.40475732421875, 2.392780517578125, 2.396465576171875, 2.39801806640625, 2.38480322265625, 2.3697744140625, 2.381960693359375, 2.375356201171875]",tokens/s,26.396009911187807,kWh,6.981038930372296e-05,7.700269786290388e-06,4.4233967286787135e-05,0.0001217446263768005,tokens/kWh,517476.63839399815,,s,630,23.864826679229736,0.03788067726861863,0.0006657831223007035,0.037784208297729494,0.03847223854064941,0.03878150005340576,0.04094101547241213,"[0.038617599487304685, 0.03872358322143555, 0.037953056335449216, 0.037543998718261716, 0.037867935180664065, 0.03717907333374024, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2187.812864,2479.816704,0.0,2101.346304,1978.345472,s,1,8.974201171875,8.974201171875,0.0,8.974201171875,8.974201171875,8.974201171875,8.974201171875,[8.974201171875],,kWh,5.411849286667044e-05,5.962155132541093e-06,1.7299180505997436e-05,7.737982850520897e-05,,MB,2176.872448,2775.515136,0.0,2367.684608,2241.29024,s,10,1.5665681762695316,0.15665681762695313,0.0006752935553594327,0.1566033477783203,0.1574509567260742,0.15768791122436523,0.15787747482299805,"[0.15792486572265624, 0.1566112060546875, 0.15604762268066405, 0.15642784118652345, 0.15707344055175781, 0.15613334655761718, 0.15659548950195312, 0.15544761657714845, 0.15739830017089843, 0.156908447265625]",tokens/s,1634.1452857137235,kWh,4.813034964958767e-06,5.307966585377469e-07,3.2062001970166566e-06,8.55003182051317e-06,tokens/kWh,29941409.0349707,MB,2183.655424,2859.401216,0.0,2451.570688,2334.829056,s,10,19.94945349121094,1.9949453491210936,0.014159525420776585,1.9951657104492186,2.0117086303710936,2.0154676574707033,2.0184748791503906,"[2.010873291015625, 2.0029676513671877, 1.993408447265625, 2.0192266845703126, 1.988684326171875, 1.99708642578125, 1.9908304443359375, 1.9644140625, 1.9850391845703126, 1.9969229736328125]",tokens/s,31.579812463411944,kWh,5.700232462295954e-05,6.287186092617085e-06,3.092157710517864e-05,9.421108782075526e-05,tokens/kWh,668711.0982081317,,s,630,19.946422578811628,0.03166098822033595,0.0006018373266020355,0.03161563205718994,0.03217015266418457,0.03240320053100586,0.033214518318176275,"[0.032889984130859376, 0.03231804656982422, 0.032000286102294925, 0.03188083267211914, 0.03180768013000488, 0.03148726463317871, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1303.523328,1083.113472,0.0,704.643072,675.01056,s,1,8.4019462890625,8.4019462890625,0.0,8.4019462890625,8.4019462890625,8.4019462890625,8.4019462890625,[8.4019462890625],,kWh,3.635637827502857e-05,4.003097544512459e-06,1.1330009063975632e-05,5.1689484883516665e-05,,MB,1330.29888,1403.977728,0.0,996.1472,942.608384,s,10,0.3297423706054688,0.03297423706054688,0.000629820502509376,0.032741056442260746,0.03361081008911133,0.03414358177185058,0.03456979911804199,"[0.033492416381835935, 0.032814849853515626, 0.032725887298583986, 0.032740161895751956, 0.0329180793762207, 0.03271689605712891, 0.034676353454589845, 0.032493854522705076, 0.032421920776367186, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4757.950464,6022.889472,0.0,5637.144576,5630.431232,s,1,10.583240234375,10.583240234375,0.0,10.583240234375,10.583240234375,10.583240234375,10.583240234375,[10.583240234375],,kWh,9.658068382083607e-05,1.0646348787908809e-05,3.2403081477977436e-05,0.00013963011408672232,,MB,1761.308672,6402.473984,0.0,5987.36896,5889.96608,s,10,5.229000213623047,0.5229000213623047,0.006321765420834981,0.5252388916015625,0.5266760864257812,0.5272976379394532,0.5277948791503906,"[0.5049750061035156, 0.5245005493164062, 0.527919189453125, 0.5262244873046875, 0.5237803955078125, 0.526288818359375, 0.52157421875, 0.5265379638671875, 0.5212223510742188, 0.5259772338867188]",tokens/s,489.57733704627987,kWh,1.4983126049792191e-05,1.6523572255539983e-06,9.975966314100526e-06,2.6611449589446716e-05,tokens/kWh,9619919.393700438,MB,1769.877504,6402.473984,0.0,5987.36896,5889.96864,s,10,28.445169189453125,2.8445169189453123,0.011335098624156928,2.8401705322265625,2.8635853515625,2.8645308349609375,2.8652872216796874,"[2.847841064453125, 2.865476318359375, 2.849661376953125, 2.863375244140625, 2.83591162109375, 2.83580419921875, 2.831446044921875, 2.835312255859375, 2.8380400390625, 2.842301025390625]",tokens/s,22.147873187324578,kWh,8.263928389062282e-05,9.115370797305593e-06,5.465002983109785e-05,0.00014640468451902625,tokens/kWh,430314.09962713823,,s,630,28.442635684967044,0.045147040769788954,0.0004339751458462169,0.04506723213195801,0.04561559104919434,0.04596099967956543,0.04671958602905273,"[0.04636739349365234, 0.04536265563964844, 0.045126174926757814, 0.044918785095214846, 0.04512921524047851, 0.04483327865600586, 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0.04476406478881836, 0.04494540786743164, 0.0450780143737793, 0.045312702178955076, 0.04510009765625, 0.04500787353515625, 0.045057792663574216, 0.045297664642333986, 0.044750846862792966, 0.04468326568603516, 0.04480819320678711, 0.04480006408691406, 0.044725440979003904, 0.044883712768554684, 0.0448276481628418, 0.04470374298095703, 0.0446484489440918, 0.04460240173339844, 0.04481942367553711, 0.044762718200683595, 0.04475126266479492, 0.045018272399902345, 0.04489116668701172, 0.04458419036865234, 0.04475699234008789, 0.04489888000488281, 0.04517603302001953, 0.045069087982177736, 0.04495881652832031, 0.04613872146606445, 0.045085601806640625, 0.04498944091796875, 0.044917087554931644, 0.044789310455322265, 0.04504822540283203, 0.045106849670410155, 0.04501119995117187, 0.04514665603637695, 0.04492902374267578, 0.04469945526123047, 0.04496329498291016, 0.04490518569946289, 0.04514815902709961, 0.045088768005371094, 0.044943199157714844, 0.044799999237060545, 0.04517881774902344, 0.04606719970703125, 0.044899040222167966, 0.04473651123046875, 0.044990463256835936, 0.045172737121582034, 0.04501094436645508, 0.04518092727661133, 0.04494694519042969, 0.04488652801513672, 0.0450167350769043, 0.04498688125610351, 0.044891456604003906, 0.04518265533447265, 0.04505587387084961, 0.04491670227050781, 0.044878849029541014, 0.044843006134033206, 0.04513315200805664, 0.045886112213134767, 0.04506012725830078, 0.0446852798461914, 0.04459724807739258, 0.04496323013305664, 0.04481817626953125, 0.04501136016845703, 0.04500249481201172, 0.044931774139404294, 0.04485513687133789, 0.04491820907592774, 0.045017311096191406, 0.04512409591674805, 0.044972030639648435, 0.045211647033691404, 0.04524579238891602, 0.045015552520751956, 0.04507254409790039, 0.044923999786376956, 0.04502735900878906, 0.04502412796020508, 0.044980224609375, 0.045027168273925784, 0.04559404754638672, 0.04508303833007812, 0.045031742095947264, 0.04502732849121094, 0.04606166458129883, 0.04501820755004883, 0.046048160552978515, 0.044843006134033206, 0.044967937469482425, 0.04477951812744141, 0.04494668960571289, 0.04507878494262695, 0.044783615112304685, 0.04479622268676758, 0.045375072479248046, 0.04486963272094727, 0.044757598876953124, 0.04502937698364258, 0.04472217559814453, 0.04501606369018555, 0.0447696647644043, 0.04497881698608398, 0.04485635375976563, 0.044958305358886716, 0.04521955108642578, 0.044970657348632814, 0.04503142547607422, 0.04508691024780274, 0.04487353515625, 0.04504576110839844, 0.045036865234375, 0.045083328247070314, 0.044556289672851565, 0.04498236846923828, 0.04481740951538086, 0.04497296142578125, 0.04475196838378906, 0.0459785270690918, 0.04477132797241211, 0.04474700927734375, 0.04546326446533203, 0.04516048049926758, 0.04513008117675781, 0.04477916717529297, 0.0449695053100586, 0.04486947250366211, 0.04495014572143555, 0.04462723159790039, 0.044948192596435545, 0.04758432006835937, 0.04481119918823242, 0.044875518798828125, 0.0446940803527832, 0.04462969589233398, 0.04464230346679687, 0.04548438262939453, 0.04512636947631836, 0.04523040008544922, 0.04565875244140625, 0.045228031158447264, 0.045231616973876954, 0.04666624069213867, 0.04510246276855469, 0.045039520263671876, 0.045017822265625, 0.0447795524597168, 0.04674137496948242]",tokens/s,22.14984599099505,,,
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 223243 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7394.59072,7808.679936,0.0,7430.209536,7414.23104,s,1,11.9593759765625,11.9593759765625,0.0,11.9593759765625,11.9593759765625,11.9593759765625,11.9593759765625,[11.9593759765625],,kWh,0.00013767597920414496,1.517940819217984e-05,4.538892519999338e-05,0.00019824431259631817,,MB,1693.106176,8574.140416,0.0,8166.309888,8044.111872,s,10,8.038221557617188,0.8038221557617188,0.005012772321141111,0.8047204284667968,0.8073851684570312,0.8079228393554687,0.8083529760742187,"[0.789686279296875, 0.8072656860351562, 0.8084605102539062, 0.806500732421875, 0.805220947265625, 0.8042199096679687, 0.8065791625976563, 0.8036324462890625, 0.8027498168945313, 0.8039060668945313]",tokens/s,318.4784074002153,kWh,2.3507717869551923e-05,2.5917034602081007e-06,1.5627469766923974e-05,4.1726891096684e-05,tokens/kWh,6135132.3636077,MB,1696.731136,8741.912576,0.0,8334.082048,8265.758208,s,10,33.337338378906246,3.3337338378906254,0.005705343794965879,3.3318209228515627,3.3361259033203123,3.3430854125976563,3.348653020019531,"[3.350044921875, 3.329379150390625, 3.331510498046875, 3.331429931640625, 3.33213134765625, 3.32924072265625, 3.331159912109375, 3.333744873046875, 3.334579345703125, 3.33411767578125]",tokens/s,18.89772941197441,kWh,9.74628008175307e-05,1.0751531806857375e-05,6.470653894467688e-05,0.00017292087156906493,tokens/kWh,364328.48983668047,,s,630,33.33370851516723,0.052910648436773386,0.0008905385000460291,0.05287142372131348,0.05350011253356934,0.05368690528869629,0.05574180805206299,"[0.05570675277709961, 0.05300624084472656, 0.05237977600097656, 0.05226287841796875, 0.05208563232421875, 0.052071582794189455, 0.052112064361572265, 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0.053039169311523436, 0.053045406341552734, 0.053108478546142576, 0.05326399993896484, 0.05324643325805664, 0.05342838287353516, 0.05369241714477539, 0.05357328033447266, 0.05345315170288086, 0.05346294403076172, 0.05343148803710938, 0.053230175018310545, 0.05317631912231445, 0.05321897506713867, 0.053178878784179685]",tokens/s,18.899787274294503,,,
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemm-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1007.427584,867.106816,0.0,488.636416,482.553856,s,1,8.09123828125,8.09123828125,0.0,8.09123828125,8.09123828125,8.09123828125,8.09123828125,[8.09123828125],,kWh,2.8708490387528704e-05,3.1514326365997525e-06,9.503063158000646e-06,4.1362986182129104e-05,,MB,1227.771904,1024.393216,0.0,616.562688,582.974464,s,10,0.27607552146911624,0.027607552146911622,0.0003845068961008729,0.027467807769775393,0.027722643280029297,0.028233929824829102,0.028642959060668948,"[0.028745216369628908, 0.02743939208984375, 0.027506624221801758, 0.027577375411987303, 0.02748700714111328, 0.027428768157958985, 0.02740598487854004, 0.027609024047851562, 0.027427520751953125, 0.0274486083984375]",tokens/s,9272.82500953776,kWh,9.256555171676362e-07,1.0208324456250316e-07,6.121418399240817e-07,1.639880601654221e-06,tokens/kWh,156108926.30948946,MB,1238.60992,1036.976128,0.0,629.1456,597.192192,s,10,14.34401013183594,1.4344010131835936,0.006175984855072775,1.4349803466796875,1.4417718017578125,1.4442687744140625,1.4462663525390627,"[1.4467657470703126, 1.4368922119140626, 1.4412169189453126, 1.42808984375, 1.4272528076171875, 1.4339974365234376, 1.4267244873046876, 1.4302384033203126, 1.4359632568359375, 1.4368690185546875]",tokens/s,43.92077209996813,kWh,4.1994459412828755e-05,4.631168553798432e-06,1.6676621991075785e-05,6.330224995770296e-05,tokens/kWh,995225.288865642,,s,630,14.339031734466571,0.022760367832486594,0.00038567347761655764,0.02265856075286865,0.02312019500732422,0.02335652503967285,0.024450917987823496,"[0.022715776443481446, 0.023112159729003906, 0.023201248168945313, 0.023357791900634764, 0.02347452735900879, 0.02612224006652832, 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0.022929311752319336, 0.022605920791625978, 0.022517759323120116, 0.02255411148071289, 0.022850048065185546, 0.022381792068481444, 0.02248137664794922, 0.022339487075805665, 0.02253593635559082, 0.02250579261779785, 0.022415712356567384, 0.022404191970825195, 0.022564895629882814, 0.022582271575927734, 0.022523391723632814, 0.022540672302246094, 0.022493152618408202, 0.022538272857666016, 0.022552255630493165, 0.022464479446411133, 0.022776159286499023, 0.022968320846557616, 0.02319919967651367, 0.02296272087097168, 0.02310758399963379, 0.023037343978881835]",tokens/s,43.93602104148196,,,
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 201361 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 196603 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
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4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 199269 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 197126 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3574.972416,4498.259968,0.0,4112.515072,3976.487424,s,1,9.820244140625,9.820244140625,0.0,9.820244140625,9.820244140625,9.820244140625,9.820244140625,[9.820244140625],,kWh,7.56064165208348e-05,8.332437672053822e-06,2.4561408538001372e-05,0.00010850026273088999,,MB,1528.471552,4697.489408,0.0,4282.384384,4102.201856,s,10,3.118543518066406,0.3118543518066406,0.0027885164091623607,0.31227796936035157,0.3147422180175781,0.3151812591552734,0.31553249206542966,"[0.305838623046875, 0.3138003845214844, 0.31090267944335936, 0.3104888916015625, 0.30905331420898435, 0.3146446533203125, 0.31318768310546874, 0.31363873291015626, 0.3113682556152344, 0.3156203002929687]",tokens/s,820.8960321282544,kWh,8.994278929293329e-06,9.91911185920321e-07,5.9880771810302065e-06,1.5974267296243858e-05,tokens/kWh,16025774.156176483,MB,1553.145856,4707.975168,0.0,4290.772992,4102.204416,s,10,20.930068359375003,2.0930068359375005,0.004535972269459129,2.0920119628906253,2.0974590576171876,2.1000917114257813,2.102197834472656,"[2.091965576171875, 2.085289794921875, 2.09565673828125, 2.102724365234375, 2.092058349609375, 2.090868408203125, 2.090119140625, 2.094879638671875, 2.0968740234375, 2.08963232421875]",tokens/s,30.100236137920216,kWh,6.144587963862142e-05,6.7774379014006015e-06,4.061351565577056e-05,0.00010883683319579258,tokens/kWh,578848.1541599601,,s,630,20.92746191406251,0.03321819351438492,0.0005044312832219247,0.03313449478149414,0.03351120300292969,0.03375649185180664,0.03442503734588623,"[0.033941761016845706, 0.03307161712646484, 0.03310563278198242, 0.03300137710571289, 0.03315955352783203, 0.03289408111572266, 0.03280316925048828, 0.0332374382019043, 0.03331830215454101, 0.03303456115722656, 0.03351123046875, 0.03304710388183594, 0.03287039947509766, 0.03294617462158203, 0.03317692947387695, 0.033530529022216794, 0.03356675338745117, 0.0332360954284668, 0.03303062438964844, 0.03407500839233398, 0.03316515350341797, 0.03301801681518555, 0.03323247909545898, 0.03309199905395508, 0.03304227066040039, 0.03285532760620117, 0.03287539291381836, 0.03324518585205078, 0.032994560241699215, 0.03292566299438476, 0.03301043319702148, 0.03301993560791015, 0.03298099136352539, 0.033081344604492184, 0.03318918228149414, 0.03317756652832031, 0.033048606872558596, 0.03335443115234375, 0.033809600830078126, 0.033331390380859374, 0.033141216278076174, 0.033151134490966794, 0.0331038703918457, 0.033089473724365236, 0.03324524688720703, 0.03333232116699219, 0.03333212661743164, 0.03341696166992188, 0.03406691360473633, 0.033511199951171876, 0.0332490234375, 0.033318943023681644, 0.03345635223388672, 0.033130271911621094, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 200296 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 197661 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1001, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 734, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 556, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1001, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 734, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 556, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 199770 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3573.858304,4498.259968,0.0,4112.515072,3975.832064,s,1,9.9098369140625,9.9098369140625,0.0,9.9098369140625,9.9098369140625,9.9098369140625,9.9098369140625,[9.9098369140625],,kWh,7.71244912666892e-05,8.4931572988024e-06,2.4564464096002436e-05,0.00011018211266149404,,MB,1475.559424,4695.392256,0.0,4280.287232,4101.546496,s,10,3.21341879272461,0.321341879272461,0.0009606308905420439,0.32158241271972654,0.322099154663086,0.3225342269897461,0.32288228485107423,"[0.31968353271484373, 0.321568359375, 0.32009951782226564, 0.32149874877929685, 0.3219676513671875, 0.32027291870117186, 0.32200247192382814, 0.32175982666015623, 0.3229692993164063, 0.32159646606445313]",tokens/s,796.6593105747708,kWh,9.728334770972602e-06,1.0728555819278639e-06,6.464597764266796e-06,1.7265788117167263e-05,tokens/kWh,14827009.242946798,MB,1528.05376,4705.878016,0.0,4288.67584,4101.549056,s,10,27.032142089843752,2.703214208984375,0.006222692345312746,2.7035152587890625,2.7099307373046875,2.7117899536132812,2.7132773266601564,"[2.709180908203125, 2.692736572265625, 2.7006904296875, 2.709517578125, 2.70197607421875, 2.698481201171875, 2.705054443359375, 2.695737548828125, 2.7051181640625, 2.713649169921875]",tokens/s,23.305589246539856,kWh,7.847960744360887e-05,8.656207248310847e-06,4.894389100693296e-05,0.00013607970569885268,tokens/kWh,462963.96421829687,,s,630,27.02953358840942,0.04290402156890384,0.0004449023108310315,0.042823087692260745,0.04330169067382812,0.04359654121398926,0.04477046756744384,"[0.04358883285522461, 0.04274169540405273, 0.04336489486694336, 0.042750431060791017, 0.043140960693359376, 0.044244705200195314, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1001, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 734, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 556, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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0.026996543884277344, 0.026875648498535156, 0.02690297508239746, 0.02677555274963379, 0.02676121520996094, 0.026762496948242186, 0.026854143142700196, 0.026839040756225587, 0.026844320297241212, 0.026902368545532226, 0.02697270393371582, 0.026910751342773438, 0.026844831466674806, 0.02668729591369629, 0.026745824813842772, 0.02667728042602539, 0.02679542350769043, 0.02716320037841797, 0.03195084762573242, 0.02718720054626465, 0.02709884834289551, 0.026892127990722655, 0.02677395248413086, 0.027023359298706053, 0.026765024185180664, 0.026779232025146486, 0.02670867156982422]",tokens/s,37.23010615051295,,,
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 201837 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 200835 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3573.485568,4498.259968,0.0,4112.515072,3975.832064,s,1,9.7968662109375,9.7968662109375,0.0,9.7968662109375,9.7968662109375,9.7968662109375,9.7968662109375,[9.7968662109375],,kWh,7.801614000831402e-05,8.5985777241218e-06,2.5396131428004343e-05,0.00011201084916044016,,MB,1544.84736,4695.392256,0.0,4280.287232,4101.546496,s,10,3.242847106933594,0.3242847106933594,0.004208931677795974,0.32315966796875,0.32871683654785155,0.33096028594970706,0.3327550454711914,"[0.32159698486328125, 0.32461395263671877, 0.32170538330078124, 0.3212510986328125, 0.319335693359375, 0.3196559448242188, 0.32563458251953126, 0.3332037353515625, 0.32821829223632815, 0.32763143920898435]",tokens/s,789.429755885319,kWh,9.649329722175826e-06,1.06414404553702e-06,6.422523059161051e-06,1.7135996826873897e-05,tokens/kWh,14939311.823314676,MB,1556.62336,4703.780864,0.0,4288.67584,4101.549056,s,10,24.0122275390625,2.40122275390625,0.010539667321248914,2.4013861083984374,2.409760595703125,2.4170054199218747,2.4228012792968747,"[2.40196923828125, 2.400802978515625, 2.38269775390625, 2.393234130859375, 2.424250244140625, 2.408150634765625, 2.405986572265625, 2.394309326171875, 2.40556396484375, 2.3952626953125]",tokens/s,26.236632939411034,kWh,7.02983374303242e-05,7.753943810171252e-06,4.586507432643914e-05,0.0001239173555669346,tokens/kWh,508403.36054436077,,s,630,24.009618343353274,0.03811050530690995,0.0006068792739485952,0.03798510360717773,0.03853266410827637,0.03892181015014649,0.04132714172363284,"[0.03893862533569336, 0.03813347244262695, 0.03805417633056641, 0.03840409469604492, 0.038215679168701173, 0.038250495910644534, 0.03811942291259766, 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0.03812966537475586, 0.03804159927368164, 0.037875518798828126, 0.03789580917358398, 0.0380684814453125, 0.037816638946533206, 0.03803910446166992, 0.03797993469238281, 0.03769184112548828, 0.03762198257446289, 0.037771263122558595, 0.037865440368652345]",tokens/s,26.239484151334157,,,
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 196093 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 198700 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1001, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 734, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 556, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4034, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2905, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 198197 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3575.926784,5272.109056,0.0,4869.586944,4520.068608,s,1,11.9082158203125,11.9082158203125,0.0,11.9082158203125,11.9082158203125,11.9082158203125,11.9082158203125,[11.9082158203125],,kWh,0.00011748109869997732,1.2951751967291584e-05,5.073587392200041e-05,0.0001811687245892693,,MB,1572.0448,5305.663488,0.0,4888.461312,4194.018304,s,10,1.7972826843261718,0.1797282684326172,0.0001738198442844156,0.1796596145629883,0.17999109497070312,0.18004680938720702,0.18009138092041016,"[0.17963618469238282, 0.17959027099609376, 0.17979440307617187, 0.17958934020996092, 0.17953240966796874, 0.1796703338623047, 0.17973960876464845, 0.18010252380371095, 0.17964889526367187, 0.1799787139892578]",tokens/s,1424.3724831521326,kWh,5.31986542818176e-06,5.866864578697227e-07,3.5244119104362667e-06,9.430963796487749e-06,tokens/kWh,27144627.58253178,MB,1580.617728,5314.052096,0.0,4896.84992,4194.020864,s,10,17.081702392578126,1.7081702392578126,0.0056161762317267555,1.7110252685546876,1.7125834228515626,1.7134856201171875,1.7142073779296874,"[1.7121220703125, 1.6977357177734376, 1.7143878173828124, 1.7123829345703125, 1.708708740234375, 1.7110892333984375, 1.702832275390625, 1.699511474609375, 1.7109613037109375, 1.7119708251953125]",tokens/s,36.881569852998396,kWh,5.008176658306997e-05,5.523793393050986e-06,3.2168533310563484e-05,8.777409328668445e-05,tokens/kWh,717751.6467670223,,s,630,17.079105426788324,0.027109691153632272,0.0003871795010973703,0.027033616065979003,0.02741643466949463,0.02765972652435303,0.028699747276306156,"[0.02764591979980469, 0.026936767578125, 0.027089504241943358, 0.026810239791870118, 0.02691904067993164, 0.02692915153503418, 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0.02671648025512695, 0.02689023971557617, 0.026971647262573242, 0.026993024826049806, 0.026968191146850586, 0.026959871292114256, 0.027480064392089845, 0.027303680419921875, 0.027744512557983398, 0.027389408111572266, 0.02734748840332031, 0.02727337646484375, 0.027289440155029297, 0.027678655624389648, 0.027340864181518553, 0.02741593551635742, 0.027662879943847658, 0.027459360122680663, 0.02735686492919922, 0.027255424499511717, 0.02745260810852051, 0.02721670341491699, 0.0270743350982666, 0.027074783325195313, 0.026965728759765627, 0.027826528549194336, 0.02801043128967285, 0.027480064392089845, 0.02726911926269531, 0.027062271118164064, 0.027053184509277343, 0.0269686393737793, 0.02707046318054199, 0.026971744537353515, 0.02699951934814453, 0.0274736328125, 0.02705558395385742, 0.027007808685302736, 0.026996511459350586, 0.027058336257934572, 0.02704902458190918, 0.027382783889770508, 0.027143680572509765, 0.027412992477416992, 0.026976255416870116, 0.02702047920227051, 0.026763456344604492, 0.02670185661315918, 0.02674502372741699, 0.026888608932495117, 0.026830848693847657, 0.026813535690307616, 0.026780319213867188, 0.0268720645904541, 0.027292896270751953, 0.027602399826049805, 0.027097631454467773, 0.0269803524017334, 0.026940544128417968, 0.027168928146362306, 0.027357120513916016, 0.02733660888671875, 0.027019615173339843, 0.026906656265258788, 0.027804159164428712, 0.02903798484802246, 0.027134239196777345, 0.027158847808837892, 0.027151872634887695, 0.027076480865478515, 0.027037824630737305, 0.027080671310424805, 0.02719603157043457, 0.02749750328063965, 0.027648992538452148, 0.02711747169494629, 0.027000511169433594, 0.02699452781677246, 0.027082624435424803, 0.02710793685913086, 0.027107295989990236, 0.027058176040649414, 0.027069887161254882, 0.02698860740661621, 0.026919456481933595, 0.027094079971313478, 0.02728044891357422, 0.02734809684753418, 0.027080543518066408, 0.027024063110351562, 0.02715056037902832, 0.02697420883178711, 0.0268984317779541, 0.02696396827697754, 0.02693452835083008, 0.026953535079956056, 0.02707551956176758, 0.027090591430664064, 0.02701955223083496, 0.02694883155822754, 0.02685833549499512, 0.02691276741027832, 0.026873247146606445, 0.02685398483276367, 0.02738163185119629, 0.029198463439941407, 0.027064319610595702, 0.026941280364990234, 0.027010944366455077, 0.027148576736450197, 0.027209375381469728, 0.0272159366607666, 0.02727555274963379, 0.027143936157226562, 0.027002368927001953, 0.02696063995361328, 0.02714543914794922, 0.026972959518432617]",tokens/s,36.88717788531559,,,
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2177.503232,2492.399616,0.0,2097.152,1986.693632,s,1,9.5335927734375,9.5335927734375,0.0,9.5335927734375,9.5335927734375,9.5335927734375,9.5335927734375,[9.5335927734375],,kWh,7.331160806666807e-05,8.078223592068064e-06,2.9448634669998475e-05,0.0001108384663287346,,MB,2245.156864,2504.982528,0.0,2097.152,1862.377472,s,10,11.278011718750001,1.127801171875,0.0012554719244792937,1.1274984130859376,1.1294764282226564,1.129490106201172,1.1295010485839845,"[1.125908203125, 1.1264990234375, 1.12655517578125, 1.1295037841796876, 1.1271705322265626, 1.127464111328125, 1.12753271484375, 1.1289794921875, 1.12892529296875, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3142.098944,4602.134528,0.0,4206.886912,4087.771648,s,1,11.3848994140625,11.3848994140625,0.0,11.3848994140625,11.3848994140625,11.3848994140625,11.3848994140625,[11.3848994140625],,kWh,0.00011912927681670831,1.3133468904521388e-05,4.522864729397669e-05,0.0001774913930152064,,MB,3186.556928,4774.100992,0.0,4366.270464,4273.048576,s,10,14.616045898437498,1.46160458984375,0.0024391264378625013,1.4610399780273438,1.4643836791992189,1.465648260498047,1.4666599255371096,"[1.460572998046875, 1.458865234375, 1.4580650634765624, 1.4618348388671876, 1.4611273193359375, 1.4605428466796875, 1.46095263671875, 1.4630694580078125, 1.4641026611328125, 1.466912841796875]",tokens/s,175.14996995690004,kWh,4.293747330542221e-05,4.73315819915845e-06,2.8513161699400546e-05,7.618379320398122e-05,tokens/kWh,3360294.7455577985,MB,3186.556928,4778.295296,0.0,4368.367616,4273.051136,s,10,24.59880004882813,2.4598800048828124,0.0055870374012830905,2.457652099609375,2.4651350830078127,2.4693376831054685,2.4726997631835936,"[2.464201171875, 2.457966064453125, 2.4545078125, 2.457338134765625, 2.457046142578125, 2.4617607421875, 2.457312744140625, 2.453147705078125, 2.473540283203125, 2.461979248046875]",tokens/s,25.611005364060954,kWh,7.094289176040852e-05,7.827931004083778e-06,4.0493560172599746e-05,0.000119264382937092,tokens/kWh,528238.1751241727,,s,630,24.59587634277343,0.03904107355995784,0.0005100896243114708,0.03896319961547851,0.03939310531616211,0.03969704113006592,0.04119656272888184,"[0.03987046432495117, 0.03919257736206055, 0.03948339080810547, 0.03919801712036133, 0.03940217590332031, 0.03913523101806641, 0.03915161514282227, 0.03880303955078125, 0.038876575469970705, 0.03863241577148437, 0.0387410888671875, 0.038720447540283205, 0.039024639129638675, 0.03879446411132813, 0.038781726837158206, 0.038767807006835936, 0.03908041763305664, 0.03907769775390625, 0.03886748886108399, 0.03883785629272461, 0.03877519989013672, 0.03880672073364258, 0.03867116928100586, 0.03895238494873047, 0.03868691253662109, 0.03888572692871094, 0.03888131332397461, 0.038986881256103514, 0.03907468795776367, 0.03908505630493164, 0.039088512420654295, 0.04006358337402344, 0.04022480010986328, 0.03917193603515625, 0.03943859100341797, 0.03906460952758789, 0.04046118545532226, 0.038984737396240234, 0.0392303352355957, 0.03887113571166992, 0.038932479858398435, 0.038913761138916016, 0.03897577667236328, 0.0390041618347168, 0.03904716873168945, 0.03895500946044922, 0.03904307174682617, 0.03989299011230469, 0.03912499237060547, 0.03930112075805664, 0.03906118392944336, 0.03907206344604492, 0.03911679840087891, 0.03912499237060547, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4356.030464,5355.012096,0.0,4959.76448,4769.731072,s,1,11.3029736328125,11.3029736328125,0.0,11.3029736328125,11.3029736328125,11.3029736328125,11.3029736328125,[11.3029736328125],,kWh,0.00013010201382500003,1.4343644621801782e-05,5.7639212778000035e-05,0.00020208487122480185,,MB,1615.03232,5373.886464,0.0,4966.055936,4251.027456,s,10,30.630434814453125,3.0630434814453125,0.004086782872654609,3.0632532958984378,3.067527099609375,3.06789404296875,3.06818759765625,"[3.054669921875, 3.05810400390625, 3.06162646484375, 3.0614765625, 3.064130615234375, 3.0623759765625, 3.066512939453125, 3.065831787109375, 3.068260986328125, 3.067445556640625]",tokens/s,83.577004881173,kWh,8.94033612470832e-05,9.861140676874984e-06,5.9460658679599995e-05,0.00015872516060355817,tokens/kWh,1612850.7857642148,MB,1622.60992,5388.566528,0.0,4980.736,4251.030016,s,10,17.748735351562498,1.77487353515625,0.00824765049756315,1.772857360839844,1.7831903564453124,1.7875395141601562,1.7910188403320313,"[1.7669478759765624, 1.7713026123046876, 1.7784786376953126, 1.774412109375, 1.791888671875, 1.78211083984375, 1.765817626953125, 1.7652471923828126, 1.770305908203125, 1.782223876953125]",tokens/s,35.49548672179274,kWh,5.2776072571249924e-05,5.820655008400578e-06,3.4842416762799994e-05,9.343914434245052e-05,tokens/kWh,674235.6262286357,,s,630,17.744511219024666,0.028165890823848665,0.0004181261219157756,0.028107151985168458,0.028600368690490725,0.02875118350982666,0.02936630439758301,"[0.028757663726806642, 0.028042911529541015, 0.027849695205688477, 0.027927391052246092, 0.02764227294921875, 0.027685312271118163, 0.028643360137939455, 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0.02836275291442871, 0.02831155204772949, 0.02872319984436035, 0.028209184646606444, 0.028374752044677733, 0.028272607803344726, 0.02829280090332031, 0.028121023178100585, 0.02834499168395996, 0.028333887100219727, 0.028038560867309572, 0.028037919998168945, 0.028014144897460937, 0.028085952758789064, 0.02801308822631836, 0.028201183319091796, 0.027850751876831056, 0.027787200927734373, 0.02783647918701172, 0.027778528213500978, 0.02791084861755371, 0.027856735229492186, 0.027883232116699217, 0.027822271347045898, 0.027973728179931642, 0.028092704772949218]",tokens/s,35.503936525709975,,,
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2041.79456,2384.330752,0.0,1981.80864,1840.378368,s,1,9.472162109375,9.472162109375,0.0,9.472162109375,9.472162109375,9.472162109375,9.472162109375,[9.472162109375],,kWh,6.443625136662377e-05,7.100519323868427e-06,2.6620576852015576e-05,9.815734754250777e-05,,MB,1521.651712,2401.107968,0.0,1983.905792,1733.29664,s,10,11.645124389648439,1.1645124389648438,0.002093229032189669,1.1652452392578125,1.166498767089844,1.1669936462402344,1.1673895495605469,"[1.1602388916015625, 1.162226806640625, 1.16270263671875, 1.16406005859375, 1.1656666259765625, 1.1648955078125, 1.165861572265625, 1.165594970703125, 1.167488525390625, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7160.46336,11301.421056,0.0,10898.898944,10500.155392,s,1,16.0841962890625,16.0841962890625,0.0,16.0841962890625,16.0841962890625,16.0841962890625,16.0841962890625,[16.0841962890625],,kWh,0.00023903515877501605,2.635578892492956e-05,0.00010644591848999602,0.0003718368661899416,,MB,2981.781504,11320.295424,0.0,10903.093248,10049.059328,s,10,58.82700244140624,5.882700244140625,0.004587707694910432,5.88457568359375,5.8869137207031255,5.887116528320313,5.887278774414062,"[5.872099609375, 5.878892578125, 5.87893798828125, 5.88180908203125, 5.88490576171875, 5.88424560546875, 5.88512255859375, 5.88680126953125, 5.8873193359375, 5.88686865234375]",tokens/s,43.51743066544738,kWh,0.0001715680417150016,1.892438748033575e-05,0.00011416198021839893,0.00030465440941373627,tokens/kWh,840296.3885953113,MB,2990.690304,11320.295424,0.0,10903.093248,10072.241664,s,10,34.996525634765625,3.4996525634765625,0.012966653567288045,3.4956083984374997,3.5149693603515626,3.522730651855469,3.5289396850585937,"[3.499573486328125, 3.489941650390625, 3.50587646484375, 3.493220703125, 3.487412353515625, 3.49799609375, 3.487426025390625, 3.49134228515625, 3.51324462890625, 3.530491943359375]",tokens/s,18.001786993796795,kWh,8.709912472041503e-05,9.60775226422537e-06,5.789665742840164e-05,0.000154603534413042,tokens/kWh,407493.9181641728,,s,630,34.993715587615974,0.05554558029780312,0.0007844414827793098,0.05537020874023438,0.056168786621093744,0.05680088062286377,0.05904880897521973,"[0.05752035140991211, 0.05568723297119141, 0.05533200073242187, 0.05539487838745117, 0.05532185745239258, 0.05565283203125, 0.05611139297485351, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 111026 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,870.170624,617.545728,0.0,222.298112,199.93344,s,1,8.03411474609375,8.03411474609375,0.0,8.03411474609375,8.03411474609375,8.03411474609375,8.03411474609375,[8.03411474609375],,kWh,2.450999462917025e-05,2.69318842136144e-06,7.537506029997587e-06,3.474068908052927e-05,,MB,1211.572224,669.974528,0.0,262.144,220.881408,s,16,0.5669669075012207,0.035435431718826294,0.0010705433270812425,0.035248767852783205,0.03584315109252929,0.036712830543518066,0.03876446552276611,"[0.03927737426757812, 0.03503222274780273, 0.03528144073486328, 0.034322624206542966, 0.03507164764404297, 0.03585798263549805, 0.03582831954956055, 0.035390846252441405, 0.03559091186523437, 0.035216094970703125, 0.035463329315185546, 0.03534169769287109, 0.03486675262451172, 0.034920894622802734, 0.03455049514770508, 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0.017269920349121094, 0.017285600662231445, 0.017516927719116213, 0.017384672164916994, 0.01734022331237793, 0.01762761688232422, 0.017420799255371093, 0.01739776039123535, 0.01740310478210449, 0.017281824111938477, 0.0173505916595459, 0.017333759307861327, 0.01735478401184082, 0.017279392242431642, 0.01733030319213867, 0.017557247161865235, 0.01757414436340332, 0.01756979179382324, 0.01761894416809082, 0.01749782371520996, 0.017537248611450194, 0.017709280014038088, 0.01768448066711426, 0.018282495498657226, 0.018556928634643553, 0.018386240005493163, 0.017918432235717773, 0.01763555145263672, 0.01749737548828125, 0.017595104217529297, 0.017647008895874023, 0.02306732749938965, 0.017468671798706054, 0.017514432907104492, 0.017639167785644533, 0.017621984481811525, 0.017694719314575197, 0.017542207717895508, 0.017718143463134765, 0.017481792449951173, 0.01759436798095703, 0.017544864654541015, 0.0175947208404541, 0.017917503356933595, 0.01760710334777832, 0.017696512222290038, 0.017782304763793947, 0.01787913513183594, 0.01795110321044922, 0.017899776458740236, 0.017829887390136717, 0.017612224578857423, 0.0177772159576416, 0.017649663925170898, 0.0176680965423584, 0.017589599609375, 0.017604448318481444, 0.01757279968261719, 0.017481599807739258, 0.017604608535766602, 0.017892383575439454, 0.017445856094360352, 0.017475584030151366, 0.017653663635253905, 0.01747977638244629, 0.01745305633544922, 0.017532928466796875, 0.017534719467163087, 0.01751475143432617, 0.01772870445251465, 0.017761087417602538, 0.017592416763305665, 0.017579839706420897, 0.01760598373413086, 0.01772336006164551, 0.01779996871948242, 0.017630783081054688, 0.017579647064208986, 0.017802047729492187, 0.018020448684692384, 0.017601951599121094, 0.01771776008605957, 0.017723392486572266, 0.01756563186645508, 0.017653663635253905, 0.018037120819091798, 0.01763302421569824, 0.017893152236938478, 0.01779555130004883, 0.017709056854248048, 0.01763052749633789, 0.017502239227294922, 0.017469856262207033, 0.017527040481567384, 0.017768447875976562, 0.017493152618408205, 0.01750716781616211, 0.01745929527282715, 0.01758608055114746, 0.017426143646240233, 0.017430816650390625, 0.017537023544311522, 0.01757699203491211, 0.017497055053710936, 0.0178701114654541, 0.01780099105834961, 0.017654272079467775, 0.017580480575561525, 0.01768448066711426, 0.017532928466796875, 0.017710975646972656, 0.017616479873657227, 0.017566240310668946, 0.01765171241760254, 0.017651487350463867, 0.017568992614746093, 0.017722368240356445, 0.017667295455932618, 0.017629535675048828, 0.017623071670532228, 0.017672607421875, 0.01761484718322754, 0.017550783157348634, 0.017700927734375, 0.017844640731811523, 0.017609952926635742, 0.01785683250427246, 0.01764819145202637, 0.018169599533081053, 0.017701087951660158, 0.017532928466796875, 0.017704736709594725, 0.017443071365356444, 0.017507776260375977, 0.01762486457824707, 0.017492576599121092, 0.017542816162109374, 0.01760310363769531, 0.017612640380859374, 0.017538528442382812, 0.017483999252319336, 0.01758576011657715, 0.017876928329467773, 0.017652896881103514, 0.017649440765380858, 0.017702911376953127, 0.017514495849609374, 0.01971251106262207, 0.018228511810302734, 0.01810032081604004, 0.018188928604125975, 0.01776639938354492, 0.017760255813598632, 0.017952768325805665, 0.017688575744628905, 0.018028543472290038, 0.017670143127441407, 0.02002457618713379, 0.020568832397460938, 0.017804672241210937, 0.01752947235107422, 0.017587263107299803, 0.017445119857788086, 0.017508480072021486, 0.017973312377929686, 0.0179532470703125, 0.017846048355102537, 0.017533151626586915, 0.017537055969238283, 0.017606143951416017, 0.017936479568481444, 0.017531328201293946, 0.017588191986083985, 0.017532928466796875, 0.01775574493408203, 0.01749443244934082, 0.01760665512084961, 0.017479679107666016, 0.01741209602355957, 0.01770832061767578, 0.01759715270996094, 0.01743257522583008, 0.017489919662475584, 0.017688703536987305, 0.017520511627197265, 0.017579551696777343, 0.017617376327514648, 0.017487520217895507, 0.017494367599487304, 0.01743257522583008, 0.017515647888183595, 0.017535871505737304, 0.01743027114868164, 0.01765724754333496, 0.017468255996704103, 0.017270784378051757, 0.017364063262939454, 0.017398591995239257, 0.017340511322021485, 0.01725644874572754, 0.01725644874572754, 0.017346559524536134, 0.017391616821289063, 0.0174653434753418, 0.01743667221069336, 0.017522687911987304, 0.017657855987548828, 0.017517631530761718, 0.018043840408325195, 0.018311168670654295]",tokens/s,56.72521147462499,,,
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1516.470272,1531.904,0.0,1136.656384,1111.384576,s,1,8.6451328125,8.6451328125,0.0,8.6451328125,8.6451328125,8.6451328125,8.6451328125,[8.6451328125],,kWh,4.834146508333864e-05,5.307537180176209e-06,1.72866804960016e-05,7.093568275951646e-05,,MB,1583.77984,1601.110016,0.0,1193.279488,1029.126656,s,10,5.371971313476563,0.5371971313476562,0.0013318217229636975,0.53732275390625,0.5388457336425782,0.5390548858642578,0.5392222076416016,"[0.5392640380859375, 0.5355089721679688, 0.5380020751953125, 0.536339111328125, 0.537271240234375, 0.5346407470703125, 0.5373074951171875, 0.5387992553710937, 0.5373380126953125, 0.5375003662109376]",tokens/s,476.5475931671073,kWh,1.5963014583771957e-05,1.7604251500054838e-06,1.0564204357789467e-05,2.8287644091566905e-05,tokens/kWh,9049887.617764484,MB,1591.15264,1603.207168,0.0,1195.37664,1083.4944,s,10,10.96520068359375,1.096520068359375,0.007217433858219241,1.0955146484374998,1.1040343994140625,1.1077592041015625,1.1107390478515624,"[1.0915089111328125, 1.095031982421875, 1.084250244140625, 1.089641845703125, 1.1032066650390624, 1.0956351318359374, 1.1114840087890625, 1.10139501953125, 1.0976527099609374, 1.0953941650390624]",tokens/s,57.45448881228528,kWh,3.385353185497731e-05,3.7339509309515524e-06,1.7515929217410514e-05,5.510341200333938e-05,tokens/kWh,1143304.882757207,,s,630,10.962743856430054,0.01740118072449215,0.000302951764663302,0.017318960189819335,0.017811832809448244,0.01798636655807495,0.01838773988723755,"[0.018071903228759765, 0.017671455383300783, 0.018241312026977537, 0.01757689666748047, 0.017505407333374023, 0.01761087989807129, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 291209 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4088, in from_pretrained
    hf_quantizer.postprocess_model(model)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 195, in postprocess_model
    return self._process_model_after_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 107, in _process_model_after_weight_loading
    model = post_init_awq_exllama_modules(model, self.quantization_config.exllama_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 456, in post_init_awq_exllama_modules
    model = exllama_post_init(model)
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllama.py"", line 133, in exllama_post_init
    submodule.post_init()
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllama.py"", line 73, in post_init
    self.q4 = exl_ext.make_q4(
RuntimeError: scales and qweight have incompatible shapes

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1480.830976,1823.408128,0.0,1428.160512,1322.516992,s,1,9.0790751953125,9.0790751953125,0.0,9.0790751953125,9.0790751953125,9.0790751953125,9.0790751953125,[9.0790751953125],,kWh,4.854528277079074e-05,5.330303647538533e-06,1.8832515065986266e-05,7.270810148431555e-05,,MB,1523.392512,1842.282496,0.0,1434.451968,1320.892416,s,10,5.394534423828125,0.5394534423828125,0.0015562314511154997,0.5389523620605469,0.5410210266113281,0.542272232055664,0.5432731964111328,"[0.5435234375, 0.5383721313476563, 0.5386351318359375, 0.5384713745117188, 0.5396533203125, 0.5378704833984375, 0.5407429809570312, 0.5386964111328125, 0.53936083984375, 0.5392083129882812]",tokens/s,474.55439132842656,kWh,1.6081650892326186e-05,1.773542507303471e-06,1.0747742516316255e-05,2.8602935915945914e-05,tokens/kWh,8950130.180772178,MB,1527.717888,1842.282496,0.0,1434.451968,1373.031936,s,10,13.756556762695311,1.3756556762695311,0.008469377521908704,1.3762078857421876,1.3836558349609374,1.3867905639648437,1.3892983471679687,"[1.382959228515625, 1.3754798583984376, 1.3769359130859375, 1.38992529296875, 1.35745751953125, 1.374190673828125, 1.3677625732421874, 1.38070458984375, 1.3712379150390626, 1.3799031982421874]",tokens/s,45.79634358129633,kWh,3.9714110341008635e-05,4.380432631009805e-06,1.953750393408206e-05,6.36320469061005e-05,tokens/kWh,990067.1605451702,,s,630,13.754047189712523,0.021831820936051623,0.00044146758512300676,0.02171879959106445,0.022216588401794433,0.022392360305786133,0.02359489480972292,"[0.02289436721801758, 0.02641001510620117, 0.02230054473876953, 0.022132095336914064, 0.022047359466552733, 0.02209190368652344, 0.021983104705810545, 0.021936128616333008, 0.021938175201416017, 0.021868320465087892, 0.02159756851196289, 0.021566303253173828, 0.021570880889892577, 0.023116159439086913, 0.021795135498046875, 0.021960704803466798, 0.02183359909057617, 0.021584415435791017, 0.021737056732177733, 0.02147532844543457, 0.021600255966186522, 0.021560319900512694, 0.02166681671142578, 0.021626880645751953, 0.02152448081970215, 0.02148761558532715, 0.02170585632324219, 0.021988224029541016, 0.021835775375366212, 0.02187059211730957, 0.02184806442260742, 0.02186454391479492, 0.022320575714111328, 0.02202003288269043, 0.022766111373901367, 0.02197212791442871, 0.022512447357177733, 0.023052288055419923, 0.021954591751098634, 0.021936128616333008, 0.02184806442260742, 0.02198121643066406, 0.02196847915649414, 0.021666175842285158, 0.02157766342163086, 0.0217457275390625, 0.021733375549316408, 0.02166988754272461, 0.021655168533325195, 0.021579456329345704, 0.02187129592895508, 0.021710687637329102, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 26351 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
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0.047008609771728514, 0.04683958435058594, 0.04685372924804688, 0.04699216079711914, 0.047056640625, 0.04725347137451172, 0.047083648681640625, 0.04695654296875, 0.047392704010009765, 0.047179840087890626, 0.04739276885986328, 0.04711196899414063, 0.048344127655029295, 0.04673529434204102, 0.046445568084716796, 0.046344192504882815, 0.0459417610168457, 0.046235904693603516, 0.04639411163330078, 0.04638671875, 0.04633430480957031, 0.04691571044921875, 0.0464257926940918, 0.04695199966430664, 0.04660857772827148, 0.04642387390136719, 0.04646915054321289, 0.04685491180419922, 0.046827167510986326, 0.04656159973144531, 0.0466063346862793, 0.04688076782226563, 0.046685791015625, 0.046534847259521485, 0.046567649841308595, 0.046637054443359374, 0.046465023040771485, 0.04649273681640625, 0.04666476821899414, 0.04668403244018555, 0.04670259094238281, 0.04687033462524414, 0.046700736999511716, 0.047050750732421875, 0.046565025329589844, 0.0465145263671875, 0.046704639434814454, 0.046919166564941404, 0.04685260772705078, 0.04714707183837891, 0.047052734375, 0.04679884719848633, 0.047156448364257815, 0.047012287139892577, 0.04668412780761719, 0.04719244766235352, 0.04690943908691406, 0.04670374298095703, 0.046636959075927735, 0.04671526336669922, 0.04672572708129883, 0.047324928283691406, 0.04713894271850586, 0.04669353485107422, 0.04694720077514648, 0.04696227264404297, 0.04673766326904297, 0.04735820770263672, 0.047185726165771484, 0.04712419128417969, 0.0473864631652832, 0.0474582405090332, 0.04705472183227539, 0.04748166275024414, 0.04711139297485351, 0.04863577651977539, 0.04684812927246094, 0.04640768051147461, 0.046176254272460936, 0.04609209442138672, 0.04646873474121094, 0.04643692779541016, 0.04636671829223633, 0.052022911071777346, 0.04558067321777344, 0.046456127166748046, 0.04674956893920899, 0.04658448028564453, 0.04659574508666992, 0.04642828750610352, 0.04681270217895508, 0.04681814575195312, 0.04677427291870117, 0.04638105773925781, 0.046617984771728516, 0.04688272094726562, 0.04701660919189453, 0.046609886169433595, 0.046639713287353515, 0.04668620681762695, 0.04647731018066406, 0.04665273666381836, 0.046792510986328126, 0.04674035263061523, 0.04675945663452148, 0.04683209609985352, 0.04652844619750977, 0.04671920013427734, 0.04699081420898438, 0.046537086486816405, 0.04678192138671875, 0.04714275360107422, 0.04692464065551758, 0.04711103820800781, 0.047158241271972656, 0.04685785675048828, 0.04689686584472656, 0.047186016082763675, 0.04699363327026367, 0.046903518676757815, 0.04690752029418945, 0.04694220733642578, 0.046849822998046874, 0.04672463989257813, 0.04695667266845703, 0.047343936920166016, 0.04715340805053711, 0.04701388931274414, 0.04707328033447265, 0.04721798324584961, 0.047130561828613284, 0.04701686477661133, 0.04744927978515625, 0.04709238433837891, 0.04749926376342774, 0.04741939163208008, 0.047351806640625, 0.04750140762329102, 0.04920111846923828, 0.04674150466918945, 0.046599937438964845, 0.046352577209472653, 0.046182464599609375, 0.046475265502929686, 0.046712833404541014, 0.04674355316162109, 0.04636569595336914, 0.0469486083984375, 0.04654265594482422, 0.04623455810546875, 0.046698593139648435, 0.04640143966674805, 0.04634406280517578, 0.04679212951660156, 0.04658844757080078, 0.046610591888427734, 0.046458881378173826, 0.04651827239990235, 0.046911102294921875, 0.04702777481079102, 0.046938209533691405, 0.046897598266601566, 0.04673974227905273, 0.046671424865722656, 0.046690750122070315, 0.04667596817016602, 0.0470384635925293, 0.04697907257080078, 0.04678656005859375, 0.04669440078735351, 0.04678633499145508, 0.04656560134887695, 0.04672512054443359, 0.047376415252685544, 0.046575584411621095, 0.047132671356201174, 0.04680019378662109, 0.046448543548583986, 0.04674828720092773, 0.046975135803222656, 0.04703619384765625, 0.047223007202148434, 0.04700364685058594, 0.046655487060546875, 0.04681932830810547, 0.04698128128051758, 0.04682735824584961, 0.047263904571533205, 0.04724671936035156, 0.04694803237915039, 0.04688566589355469, 0.047082687377929686, 0.0467869758605957, 0.046973342895507815, 0.04691353607177735, 0.04690124893188476, 0.04735145568847656, 0.04720793533325195, 0.04681404876708985, 0.04702572631835938, 0.04707980728149414]",tokens/s,21.362555419105355,,,
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,8557.305856,12045.910016,0.0,11643.387904,10774.352384,s,1,15.449345703125,15.449345703125,0.0,15.449345703125,15.449345703125,15.449345703125,15.449345703125,[15.449345703125],,kWh,0.00024450217612916275,2.6962865104855526e-05,0.00011183731169199518,0.00038330235292601347,,MB,1673.777152,12077.367296,0.0,11660.16512,9610.865152,s,10,72.2507099609375,7.22507099609375,0.003126629139248643,7.22534326171875,7.22931923828125,7.22991865234375,7.23039818359375,"[7.22107666015625, 7.222177734375, 7.22446240234375, 7.22128857421875, 7.22258740234375, 7.22651953125, 7.22666943359375, 7.22622412109375, 7.23051806640625, 7.22918603515625]",tokens/s,35.432177779070535,kWh,0.00021072569176167007,2.3243946275738666e-05,0.00014018705659400027,0.000374156694631409,tokens/kWh,684205.3173796394,MB,1685.491712,12077.367296,0.0,11660.16512,9610.867712,s,10,32.54028857421875,3.2540288574218748,0.001619967803782302,3.2536656494140628,3.256328466796875,3.2564135009765622,3.256481528320313,"[3.252347900390625, 3.252013916015625, 3.2529052734375, 3.253246826171875, 3.252628173828125, 3.2541767578125, 3.25408447265625, 3.2563095703125, 3.25649853515625, 3.2560771484375]",tokens/s,19.360615028446333,kWh,9.514654453791384e-05,1.0495374447632376e-05,6.313163383860065e-05,0.00016877355282414702,tokens/kWh,373281.23361628,,s,630,32.5375793762207,0.051646951390826513,0.0004361819623780889,0.051651472091674804,0.052203572845458984,0.0523054313659668,0.052800942497253416,"[0.05284374237060547, 0.05141177749633789, 0.05083750534057617, 0.05091516876220703, 0.050727039337158206, 0.05127171325683594, 0.050915328979492185, 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0.051553150177001954, 0.05113407897949219, 0.05154991912841797, 0.051100318908691406, 0.0515494384765625, 0.051589889526367186, 0.05142323303222656, 0.05161369705200195, 0.05140383911132813, 0.05136671829223633, 0.05119968032836914, 0.051448257446289065, 0.051713951110839845, 0.05147046279907227, 0.05175398254394531, 0.05178822326660156, 0.051633953094482425, 0.0515404167175293, 0.05192736053466797, 0.051736030578613285, 0.051980289459228515, 0.05200467300415039, 0.05171273422241211, 0.052350334167480465, 0.05216444778442383, 0.052056865692138674, 0.05153302383422852, 0.05170012664794922, 0.052066688537597654, 0.051908576965332034, 0.05210524749755859, 0.05189427185058594, 0.052142078399658204, 0.05161062240600586, 0.0519681282043457, 0.05221625518798828, 0.05201331329345703, 0.05223632049560547, 0.0519530258178711, 0.05240911865234375, 0.052152320861816405, 0.052144126892089845, 0.05237926483154297, 0.05216704177856445, 0.05210076904296875, 0.053418014526367186, 0.0510648307800293, 0.05097411346435547, 0.05076028823852539, 0.05126057434082031, 0.05093404769897461, 0.051282112121582034, 0.050859519958496094, 0.05123158264160156, 0.05115087890625, 0.051374015808105467, 0.05139462280273437, 0.05144553756713867, 0.051789249420166016, 0.05125392150878906, 0.05141107177734375, 0.05118975830078125, 0.05102182388305664, 0.05116867065429687, 0.051477088928222656, 0.051244480133056644, 0.051536094665527346, 0.05171577453613281, 0.05151401519775391, 0.051636062622070315, 0.05128179168701172, 0.05168563079833984, 0.051286048889160156, 0.051707904815673826, 0.051329025268554686, 0.05179190444946289, 0.0517529296875, 0.051797439575195316, 0.052152896881103514, 0.05166694259643555, 0.0518389778137207, 0.05145600128173828, 0.0518553581237793, 0.0522239990234375, 0.051625694274902344, 0.05203587341308594, 0.05172220611572265, 0.051951648712158204, 0.05135699081420898, 0.051552127838134766, 0.051974849700927736, 0.051856510162353514, 0.05204851150512695, 0.051714431762695315, 0.052203521728515626, 0.051778881072998044, 0.051974849700927736, 0.05228950500488281, 0.05211958312988281, 0.05229363250732422, 0.05203353500366211, 0.05184441757202148, 0.0519785270690918, 0.05230838394165039, 0.0525656623840332, 0.05254095840454102, 0.05223651123046875, 0.05181500625610352]",tokens/s,19.36222706414418,,,
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4595.003392,7907.24608,0.0,7511.998464,6895.682048,s,1,12.65923046875,12.65923046875,0.0,12.65923046875,12.65923046875,12.65923046875,12.65923046875,[12.65923046875],,kWh,0.00016308059054586011,1.798142303511062e-05,6.664338664802427e-05,0.000247705400228995,,MB,2460.782592,7921.926144,0.0,7514.095616,6822.139904,s,10,29.046709716796876,2.9046709716796877,0.0033588276174065443,2.9054093017578126,2.9084703857421874,2.9084865356445313,2.9084994555664063,"[2.89770849609375, 2.900326416015625, 2.9035615234375, 2.90337646484375, 2.904469970703125, 2.9063486328125, 2.908466796875, 2.90701220703125, 2.908502685546875, 2.9069365234375]",tokens/s,88.13390655808516,kWh,8.473676948625477e-05,9.34597383415778e-06,5.638348955120387e-05,0.0001504662328716164,tokens/kWh,1701378.4097221938,MB,2465.046528,7926.120448,0.0,7516.192768,6822.142464,s,10,21.404966064453124,2.1404966064453124,0.02118520790531577,2.1430899658203124,2.1637234375000003,2.1649804931640624,2.1659861376953122,"[2.11697216796875, 2.106642578125, 2.12462939453125, 2.160172119140625, 2.15317333984375, 2.166237548828125, 2.159627685546875, 2.121060546875, 2.163444091796875, 2.133006591796875]",tokens/s,29.4324222754191,kWh,6.286705930166284e-05,6.935121888016265e-06,4.151392209999494e-05,0.00011131610328967404,tokens/kWh,565955.8512936558,,s,630,21.402253734588616,0.033971831324743844,0.0005589987614556571,0.034013088226318364,0.03447806396484375,0.034646830940246585,0.035267693634033204,"[0.03500239944458008, 0.03394144058227539, 0.03366620635986328, 0.03341747283935547, 0.033616416931152346, 0.03364054489135742, 0.03351551818847656, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4758.032384,7476.215808,0.0,7073.693696,6385.996288,s,1,11.98059765625,11.98059765625,0.0,11.98059765625,11.98059765625,11.98059765625,11.98059765625,[11.98059765625],,kWh,0.00014289447340003485,1.5754843355513827e-05,6.213782748801244e-05,0.00022078714424356112,,MB,1778.880512,7495.090176,0.0,7077.888,5802.016768,s,10,36.32957592773438,3.6329575927734377,0.005335850459459854,3.6333765869140624,3.6386541748046874,3.6392095336914063,3.6396538208007816,"[3.620331787109375, 3.631783447265625, 3.62912890625, 3.63088330078125, 3.63184521484375, 3.634907958984375, 3.635334716796875, 3.63853076171875, 3.63706494140625, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 222315 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7303.335936,9457.041408,0.0,9061.793792,8463.626752,s,1,14.3428876953125,14.3428876953125,0.0,14.3428876953125,14.3428876953125,14.3428876953125,14.3428876953125,[14.3428876953125],,kWh,0.00021487623368749383,2.36943618241099e-05,9.731035562601797e-05,0.00033588095113762167,,MB,1703.931904,9469.62432,0.0,9061.793792,7991.22432,s,10,57.66108496093751,5.766108496093751,0.004118686907086784,5.766230224609375,5.77012763671875,5.7712974609375,5.7722333203125,"[5.75782275390625, 5.76150146484375, 5.76316064453125, 5.76605322265625, 5.76616748046875, 5.76629296875, 5.76811865234375, 5.7696328125, 5.76986767578125, 5.77246728515625]",tokens/s,44.39736091914107,kWh,0.00016823414614416645,1.8556737855335502e-05,0.00011176370052199957,0.00029855458452150154,tokens/kWh,857464.6422204352,MB,1710.641152,9469.62432,0.0,9061.793792,8265.583104,s,10,29.5501298828125,2.9550129882812497,0.008249503465217734,2.9533575439453124,2.9656091796875,2.965724755859375,2.965817216796875,"[2.946534912109375, 2.94372900390625, 2.94428515625, 2.952433349609375, 2.96433447265625, 2.952168701171875, 2.95428173828125, 2.96558349609375, 2.96584033203125, 2.960938720703125]",tokens/s,21.319703246598333,kWh,8.632863470291603e-05,9.522743306560679e-06,5.753785158580105e-05,0.00015338922959527777,tokens/kWh,410719.84106203186,,s,630,29.54630256652833,0.04689889296274336,0.00047923563625497655,0.04689219093322754,0.04741061515808105,0.0475846269607544,0.048471395149230954,"[0.04812003326416016, 0.046564510345458984, 0.046091262817382815, 0.04598806381225586, 0.045979038238525394, 0.04610086441040039, 0.04623769760131836, 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4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4145.373184,5819.465728,0.0,5416.943616,4964.135424,s,1,10.955767578125,10.955767578125,0.0,10.955767578125,10.955767578125,10.955767578125,10.955767578125,[10.955767578125],,kWh,0.00011800446072913169,1.3009526382198153e-05,5.2163652841996644e-05,0.00018317763995332647,,MB,1424.990208,5853.02016,0.0,5435.817984,4562.7008,s,10,30.790093994140626,3.079009399414063,0.005732084637263689,3.07714697265625,3.086281884765625,3.086529736328125,3.086728017578125,"[3.06939111328125, 3.073928466796875, 3.0777529296875, 3.075769775390625, 3.074871337890625, 3.076541015625, 3.082999755859375, 3.086226806640625, 3.085835205078125, 3.086777587890625]",tokens/s,83.14362406581706,kWh,8.988687569749649e-05,9.9144799998973e-06,5.97359366776018e-05,0.00015953729237499557,tokens/kWh,1604640.4962061592,MB,1450.78272,5853.02016,0.0,5435.817984,4562.70336,s,10,28.087651367187497,2.80876513671875,0.37335336652681217,2.8037958984375,3.1879590576171877,3.2115250610351564,3.2303778637695313,"[3.18272216796875, 3.162566650390625, 3.164280517578125, 3.235091064453125, 3.163201904296875, 2.44177490234375, 2.434739501953125, 2.428841796875, 2.445025146484375, 2.42940771484375]",tokens/s,22.429785665026355,kWh,8.072805652625448e-05,8.904910431306665e-06,5.118226316799674e-05,0.00014081523012555788,tokens/kWh,447394.7877926703,,s,630,28.08534365463256,0.04457991056290884,0.0059767882948195015,0.04637816047668457,0.05064093551635742,0.05124616641998291,0.05402988220214844,"[0.05156476974487305, 0.05043996810913086, 0.050949886322021486, 0.05123712158203125, 0.05175868988037109, 0.050640705108642575, 0.05506313705444336, 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0.021600576400756837, 0.021398815155029297, 0.021350303649902345, 0.021289535522460937, 0.02183737564086914, 0.0230447998046875, 0.021299104690551757, 0.02127676773071289, 0.021215200424194336, 0.02127177619934082, 0.021342655181884766, 0.021270591735839842, 0.021283136367797852, 0.021348031997680664, 0.021360960006713867, 0.021540864944458008, 0.02153267288208008, 0.02186854362487793, 0.022068384170532227, 0.022172512054443358, 0.0221693115234375, 0.022091487884521484, 0.02220921516418457, 0.02226982307434082, 0.022742528915405274, 0.022331327438354493]",tokens/s,45.88911039790236,,,
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2188.3904,2549.02272,0.0,2153.775104,2041.744384,s,1,11.085216796875,11.085216796875,0.0,11.085216796875,11.085216796875,11.085216796875,11.085216796875,[11.085216796875],,kWh,8.28118539208276e-05,9.12761928141536e-06,3.244780373600625e-05,0.00012438727693824922,,MB,2259.472384,2563.702784,0.0,2153.775104,1917.689856,s,10,0.986597511291504,0.0986597511291504,0.00023554764159677342,0.09864913940429687,0.09887231750488282,0.09902524719238281,0.09914759094238282,"[0.09917817687988281, 0.09829135894775391, 0.0986562271118164, 0.09849993896484376, 0.0986915512084961, 0.09854611206054688, 0.09864205169677734, 0.09843129730224609, 0.09882246398925781, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3145.99424,4639.883264,0.0,4244.635648,4125.520384,s,1,11.7520712890625,11.7520712890625,0.0,11.7520712890625,11.7520712890625,11.7520712890625,11.7520712890625,[11.7520712890625],,kWh,0.00014004919984996983,1.5440516300272363e-05,5.297976460599818e-05,0.00020846948075624037,,MB,3185.455104,4813.94688,0.0,4404.0192,4310.797312,s,10,1.1998705825805664,0.11998705825805664,0.00018602052537982502,0.11992507171630859,0.12016988677978516,0.1202754379272461,0.12035987884521485,"[0.12038098907470703, 0.12014105224609375, 0.11976278686523438, 0.12014643096923829, 0.11981970977783203, 0.11997030639648437, 0.11983433532714843, 0.12008499145507813, 0.11987983703613281, 0.11985014343261718]",tokens/s,2133.5634335614745,kWh,3.577076461839147e-06,3.944667214168399e-07,2.3632674732686106e-06,6.3348106565245984e-06,tokens/kWh,40411626.15276123,MB,3193.921536,4816.044032,0.0,4406.116352,4310.799872,s,10,24.742931640625002,2.4742931640625003,0.013718663129249119,2.4744366455078124,2.4924291015625,2.495043408203125,2.4971348535156253,"[2.49765771484375, 2.463353515625, 2.475403564453125, 2.451627685546875, 2.459360595703125, 2.4734697265625, 2.4754619140625, 2.49184814453125, 2.48601416015625, 2.468734619140625]",tokens/s,25.46181710196433,kWh,7.21368456039991e-05,7.956612219909271e-06,3.629331900752945e-05,0.00011638677683143779,tokens/kWh,541298.605521506,,s,630,24.74024644851682,0.039270232457963246,0.0006882776196660147,0.03920785522460937,0.039810585021972655,0.04008425540924072,0.041340187988281256,"[0.04134908676147461, 0.03932627105712891, 0.03967132949829102, 0.03985990524291992, 0.03962326431274414, 0.04112403106689453, 0.039345344543457034, 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0.03973734283447266, 0.03988275146484375, 0.03961999893188477, 0.03933222579956055, 0.03924604797363281, 0.039198719024658206, 0.03909427261352539, 0.039065601348876954, 0.040382240295410154, 0.03973756790161133, 0.03940358352661133, 0.03982262420654297, 0.04093964767456055, 0.03904771041870117, 0.03912704086303711, 0.03878911972045898, 0.03920099258422852, 0.040629150390625, 0.03907900619506836, 0.03906092834472656, 0.03892185592651367, 0.03923952102661133, 0.03951475143432617, 0.040087329864501954, 0.03931321716308594, 0.039315166473388674, 0.03920582580566406, 0.03905023956298828, 0.03998118209838867, 0.039470272064208986, 0.0390904655456543, 0.03932419204711914, 0.03901567840576172, 0.039160575866699215, 0.039534591674804685, 0.04044800186157226, 0.039487232208251954, 0.03938751983642578, 0.039882625579833984, 0.03957110214233398, 0.039412063598632814, 0.03908153533935547, 0.039124736785888674, 0.042922687530517575, 0.039774208068847655, 0.039569408416748046, 0.039518207550048826, 0.04056883239746094, 0.039567039489746096, 0.03917446517944336, 0.03937484741210937, 0.039397087097167965, 0.039772449493408205, 0.039425857543945314, 0.04220332717895508, 0.039395328521728515, 0.03929849624633789, 0.03913580703735352, 0.03916185760498047, 0.03991551971435547, 0.03898489761352539, 0.03862611389160156, 0.03849625778198242, 0.03853311920166016, 0.03874390411376953, 0.038395488739013675, 0.03866476821899414, 0.038799072265625, 0.03881331253051758, 0.03893683242797852, 0.03870352172851563, 0.03901232147216797, 0.03957148742675781, 0.03980297470092774, 0.03981916809082031, 0.03969555282592773, 0.03970038223266602, 0.039682304382324216, 0.03976668930053711, 0.039774112701416016, 0.03982121658325195, 0.03970307159423828, 0.03955062484741211, 0.03924991989135742, 0.039279678344726565, 0.039574462890625, 0.039019775390625, 0.03919948959350586, 0.03893388748168945, 0.0389536018371582, 0.039806976318359374, 0.039007614135742184, 0.03877260971069336, 0.03833318328857422, 0.03852188873291015, 0.03854025650024414, 0.03827206420898437, 0.03819974517822266, 0.03820499038696289, 0.0382020149230957, 0.03854159927368164, 0.038606464385986326, 0.0386297607421875, 0.03903263854980469, 0.038846656799316405, 0.0390467529296875, 0.03876214218139649, 0.03980963134765625, 0.039780513763427734, 0.03992575836181641, 0.03991551971435547, 0.03995238494873047, 0.039823265075683595, 0.039612510681152346, 0.03942195129394531, 0.03949337768554687, 0.03951241683959961, 0.03984502410888672, 0.03977471923828125, 0.039524608612060544, 0.03958972930908203, 0.03986652755737305, 0.039172096252441405, 0.03922739028930664, 0.03906569671630859, 0.039118465423583985, 0.039151073455810544, 0.03900262451171875, 0.03886111831665039, 0.038782527923583984, 0.03903084945678711, 0.03913683319091797, 0.03912073516845703, 0.03952297592163086, 0.03900406265258789, 0.038582687377929685, 0.03848102569580078, 0.03857497787475586, 0.03879116821289062, 0.039272449493408204, 0.039371807098388674, 0.040106655120849606, 0.041148414611816404, 0.039405887603759765, 0.03928604888916016, 0.03935836791992187, 0.039594432830810544, 0.039250049591064456, 0.039145729064941404, 0.03913264083862305, 0.039066303253173826, 0.039540576934814456, 0.03934822463989258, 0.03945033645629883]",tokens/s,25.464580610019265,,,
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciLM-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciLM-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2079.420416,2440.953856,0.0,2038.431744,1895.42912,s,1,9.404107421875,9.404107421875,0.0,9.404107421875,9.404107421875,9.404107421875,9.404107421875,[9.404107421875],,kWh,6.616547877915764e-05,7.291232553333861e-06,2.7718355507994064e-05,0.00010117506684048556,,MB,2170.748928,2457.731072,0.0,2040.528896,1788.34688,s,10,0.87230712890625,0.08723071289062499,0.00034458461402466113,0.0872159538269043,0.08761315689086914,0.08768603401184083,0.08774433570861817,"[0.08750233459472656, 0.0877589111328125, 0.08753465270996094, 0.08716793823242187, 0.08759696197509766, 0.08726396942138671, 0.08690828704833985, 0.08663132476806641, 0.08702291107177734, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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0.034508800506591795, 0.03469126510620117, 0.03464022445678711, 0.03484169769287109, 0.034632160186767576, 0.03459414291381836, 0.034630401611328125, 0.03478307342529297, 0.03473177719116211, 0.034866657257080075, 0.03461215972900391, 0.03481372833251953, 0.03475254440307617, 0.03482156753540039, 0.03461628723144531, 0.03453449630737305, 0.03451996612548828, 0.034746143341064455]",tokens/s,28.884159603167465,,,
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7166.230528,11446.124544,0.0,11043.602432,10644.85888,s,1,15.3945673828125,15.3945673828125,0.0,15.3945673828125,15.3945673828125,15.3945673828125,15.3945673828125,[15.3945673828125],,kWh,0.00024076620776249154,2.6550995485527102e-05,0.00010717841907598863,0.0003744956223240073,,MB,3125.383168,11464.998912,0.0,11047.796736,10193.762816,s,10,3.873770233154297,0.3873770233154297,0.0008017146505535117,0.38724441528320314,0.3881938079833984,0.3884663650512695,0.3886844107055664,"[0.3870435791015625, 0.3859915466308594, 0.38744525146484377, 0.386902099609375, 0.386473876953125, 0.3880574951171875, 0.38702590942382814, 0.38873892211914063, 0.38795831298828126, 0.38813323974609376]",tokens/s,660.8548896601612,kWh,1.1362643189422872e-05,1.2530906996021258e-06,7.572709049615256e-06,2.0188442938640255e-05,tokens/kWh,12680522.256128103,MB,3134.324736,11464.998912,0.0,11047.796736,10216.945152,s,10,35.00595971679687,3.5005959716796875,0.0070912096024240935,3.499769653320312,3.5076157958984373,3.510068273925781,3.512030256347656,"[3.506041259765625, 3.49793798828125, 3.49913525390625, 3.500029541015625, 3.485289306640625, 3.50707080078125, 3.503698974609375, 3.499509765625, 3.512520751953125, 3.49472607421875]",tokens/s,17.996935524601763,kWh,0.00010226989875307727,1.1279542750089423e-05,6.72559063687854e-05,0.00018080534787195206,tokens/kWh,348441.0209183478,,s,630,35.003313110351556,0.055560814460875484,0.0006759404369073328,0.055407808303833,0.05614957122802734,0.056722057914733885,0.058441114768981936,"[0.05706671905517578, 0.0566479377746582, 0.05593052673339844, 0.05570240020751953, 0.05591356658935547, 0.05569795227050781, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 111487 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,877.613056,615.448576,0.0,220.20096,205.438976,s,1,8.500099609375,8.500099609375,0.0,8.500099609375,8.500099609375,8.500099609375,8.500099609375,[8.500099609375],,kWh,2.8432755895839057e-05,3.1291399853608897e-06,8.50334013600268e-06,4.0065236017202625e-05,,MB,1265.762304,669.974528,0.0,260.046848,226.386944,s,17,0.21296153736114498,0.012527149256537942,0.0002239725954963185,0.01243660831451416,0.012815871810913086,0.012923238182067871,0.013149460105895997,"[0.01247321605682373, 0.012356096267700196, 0.012852543830871583, 0.012580448150634766, 0.012397248268127442, 0.013206015586853028, 0.012528351783752441, 0.012396703720092774, 0.012384832382202149, 0.012378560066223145, 0.012320768356323243, 0.012509632110595702, 0.012791423797607422, 0.01259267234802246, 0.01243660831451416, 0.012429247856140137, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-14B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-14B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1521.627136,1569.652736,0.0,1174.40512,1147.036672,s,1,9.174837890625,9.174837890625,0.0,9.174837890625,9.174837890625,9.174837890625,9.174837890625,[9.174837890625],,kWh,5.877842605833052e-05,6.457500539367533e-06,2.1065850186002127e-05,8.630177678370019e-05,,MB,1591.238656,1640.955904,0.0,1231.028224,1064.778752,s,10,0.5417076148986816,0.05417076148986817,0.0002991612835500622,0.054034416198730464,0.054629844665527345,0.05464852142333985,0.054663462829589844,"[0.05466719818115234, 0.05395267105102539, 0.054403553009033205, 0.05388374328613281, 0.05387664031982422, 0.05386707305908203, 0.0539851188659668, 0.054625694274902346, 0.05436220932006836, 0.05408371353149414]",tokens/s,4725.7965913564085,kWh,1.6224050773842514e-06,1.7891919610032442e-07,1.0721351169666835e-06,2.8734593904512597e-06,tokens/kWh,89091219.05488169,MB,1595.375616,1643.053056,0.0,1233.125376,1119.936512,s,10,11.516790893554688,1.1516790893554687,0.014175968572519957,1.157119384765625,1.1659436767578124,1.1674348510742187,1.168627790527344,"[1.156865966796875, 1.1615103759765626, 1.1206495361328126, 1.168926025390625, 1.13904345703125, 1.1395523681640625, 1.157372802734375, 1.147115234375, 1.160142822265625, 1.1656123046875]",tokens/s,54.70273844709435,kWh,3.264305194969919e-05,3.599656571623945e-06,1.5546405955633424e-05,5.1789114476956555e-05,tokens/kWh,1216471.8519763781,,s,630,11.513171941757191,0.0182748760980273,0.0003702732853264695,0.018321136474609374,0.018600220489501954,0.018759527015686034,0.019429015655517582,"[0.018496543884277343, 0.018222143173217773, 0.018337696075439454, 0.018274303436279296, 0.018227231979370116, 0.01834185600280762, 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0.018390399932861328, 0.01831999969482422, 0.019230335235595704, 0.01838323211669922, 0.01835215950012207, 0.018264192581176758, 0.018208223342895506, 0.018151039123535155, 0.018210624694824217, 0.01848179244995117, 0.018748735427856444, 0.018473344802856444, 0.018477376937866212, 0.018558879852294922, 0.018548831939697266, 0.018446271896362304, 0.018501632690429686, 0.01839017677307129, 0.018666400909423828, 0.01861631965637207, 0.018472959518432617, 0.018502784729003907, 0.018977535247802733, 0.019945247650146485, 0.018634592056274414, 0.018618560791015624, 0.018594432830810546, 0.01856070327758789, 0.018503040313720704, 0.01868579292297363, 0.01852672004699707, 0.018519872665405272, 0.018384767532348634, 0.01849318313598633, 0.01833996772766113, 0.018376735687255858, 0.018328224182128906, 0.018434080123901367, 0.018482208251953125, 0.01847747230529785, 0.018309247970581054, 0.01846931266784668, 0.018431999206542968, 0.018394975662231444, 0.018317567825317384, 0.018255231857299804, 0.018248191833496095, 0.018351648330688478, 0.018377216339111328, 0.018762752532958983, 0.01860416030883789, 0.018494592666625977, 0.018346944808959962, 0.01830940818786621, 0.018315391540527345, 0.018483776092529297, 0.018567007064819337, 0.0184967041015625, 0.018387775421142578, 0.018423807144165038, 0.018386943817138672, 0.01843152046203613, 0.01866908836364746, 0.01838073539733887, 0.018529279708862305, 0.01833193588256836, 0.018412544250488282, 0.01840787124633789, 0.018359615325927735, 0.01839571189880371, 0.018364160537719727, 0.01842857551574707]",tokens/s,54.719933237082024,,,
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-72B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-72B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 291711 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4088, in from_pretrained
    hf_quantizer.postprocess_model(model)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 195, in postprocess_model
    return self._process_model_after_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 107, in _process_model_after_weight_loading
    model = post_init_awq_exllama_modules(model, self.quantization_config.exllama_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 460, in post_init_awq_exllama_modules
    model = exllamav2_post_init(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllamav2.py"", line 193, in exllamav2_post_init
    submodule.post_init(scratch_space=model.scratch_spaces[device])
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllamav2.py"", line 78, in post_init
    self.q_handle = exlv2_ext.make_q_matrix(
RuntimeError: q_weight and gptq_scales have incompatible shapes

"
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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 26899 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.3456343994140625]",tokens/s,741.8031300974268,kWh,1.0099989562068839e-05,1.113836428620258e-06,6.726509212620348e-06,1.7940335203309443e-05,tokens/kWh,14269521.561268032,MB,1654.054912,9402.515456,0.0,8992.587776,8123.606528,s,10,25.017800048828125,2.5017800048828125,0.004788870374114529,2.5015008544921873,2.5062755859375,2.50874619140625,2.51072267578125,"[2.491120361328125, 2.499575439453125, 2.50334716796875, 2.501220703125, 2.500439453125, 2.501781005859375, 2.50078271484375, 2.50258984375, 2.5057265625, 2.511216796875]",tokens/s,25.182070316750742,kWh,7.290349514543089e-05,8.04132675155834e-06,4.832889594278162e-05,0.00012927371783977084,tokens/kWh,487338.0378684998,,s,630,25.014439548492433,0.03970545960078164,0.0003530860509353926,0.03967923164367676,0.04011471900939941,0.04025527458190918,0.04061889789581299,"[0.03986508941650391, 0.039329792022705076, 0.03907360076904297, 0.039225536346435545, 0.03890790557861328, 0.038934528350830076, 0.038956737518310545, 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0.04241648101806641, 0.04246774291992188, 0.04230144119262695, 0.04222524642944336, 0.042685951232910156, 0.04234902572631836, 0.042090110778808594, 0.042259265899658206, 0.04195145416259766, 0.04196697616577148, 0.0415830078125, 0.04163174438476563, 0.04175667190551758, 0.04165631866455078, 0.041629344940185546, 0.04199590301513672, 0.042908000946044925, 0.04212569427490234, 0.04189593505859375, 0.04201251220703125, 0.042135711669921874, 0.04204262542724609, 0.041855743408203125, 0.041891136169433595, 0.04198393630981445, 0.04217948913574219, 0.042016254425048825, 0.04184099197387695, 0.04194713592529297, 0.04203699111938477, 0.04195353698730469, 0.042229888916015625, 0.04293824005126953, 0.042169921875, 0.04175676727294922, 0.04191635131835938, 0.04170163345336914, 0.041727649688720704, 0.04182419204711914, 0.041877567291259764, 0.042229984283447264, 0.042162464141845706, 0.04213145446777344, 0.042159393310546876, 0.04204822540283203, 0.041998336791992184, 0.04198604965209961, 0.041989311218261716, 0.041960254669189456, 0.04201062393188477, 0.04195062255859375, 0.043493824005126955, 0.042765857696533204, 0.042019454956054685, 0.041957023620605466, 0.04223420715332031, 0.04198809432983398, 0.04198809432983398, 0.041908222198486327, 0.04201027297973633, 0.042020671844482424]",tokens/s,23.48666298029727,,,
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciCoder-1b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciCoder-1b.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,8560.51712,12356.288512,0.0,11953.7664,11082.63424,s,1,16.086310546875,16.086310546875,0.0,16.086310546875,16.086310546875,16.086310546875,16.086310546875,[16.086310546875],,kWh,0.00025261549842083844,2.7841503910228292e-05,0.00011605509284401405,0.0003965120951750808,,MB,1683.001344,12387.745792,0.0,11970.543616,9918.62272,s,10,4.975213958740234,0.4975213958740234,0.0004058371021581669,0.4976215515136718,0.497937744140625,0.49798114013671874,0.49801585693359374,"[0.49711123657226564, 0.4975026245117187, 0.49777993774414064, 0.4973531494140625, 0.4966119689941406, 0.4980245361328125, 0.4977841796875, 0.49737774658203127, 0.4979281005859375, 0.497740478515625]",tokens/s,514.5507351503359,kWh,1.4532519381944238e-05,1.6027133487703805e-06,9.677097688762104e-06,2.5812330419476725e-05,tokens/kWh,9917740.701429844,MB,1692.930048,12387.745792,0.0,11970.543616,9918.821888,s,10,30.45577783203125,3.045577783203125,0.243100272136718,2.924031005859375,3.3695760009765627,3.370962805175781,3.372072248535156,"[3.372349609375, 3.369267822265625, 3.361681884765625, 3.217048828125, 2.820540283203125, 2.822995361328125, 2.82324169921875, 2.822062255859375, 2.821769775390625, 3.0248203125]",tokens/s,20.685730092810505,kWh,8.234598096430975e-05,9.082997103454249e-06,5.466545378523826e-05,0.00014609443185300224,tokens/kWh,431227.9338844997,,s,630,30.453447063446035,0.04833880486261277,0.004285709414559487,0.045212512969970704,0.053479880142211916,0.053730999946594235,0.054750658950805664,"[0.05370297622680664, 0.05387468719482422, 0.053894527435302736, 0.054368896484375, 0.053513504028320315, 0.05335302352905273, 0.05316761779785156, 0.05347804641723633, 0.05347532653808594, 0.05382553482055664, 0.05364451217651367, 0.05336870574951172, 0.05332880020141602, 0.05332787322998047, 0.05330944061279297, 0.05333401489257812, 0.05331763076782227, 0.05330944061279297, 0.053348350524902347, 0.05321113586425781, 0.05326233673095703, 0.05368582534790039, 0.05347372817993164, 0.05316185760498047, 0.05314982223510742, 0.05324505615234375, 0.05368307113647461, 0.05384313583374024, 0.05345772933959961, 0.05373452758789062, 0.06085827255249023, 0.05339644622802735, 0.05326438522338867, 0.05344585418701172, 0.053379680633544924, 0.05333830261230469, 0.053235294342041016, 0.054843807220458986, 0.05361423873901367, 0.053523902893066404, 0.0533298568725586, 0.05326742553710938, 0.053542911529541014, 0.053131072998046876, 0.05314579010009766, 0.05321503829956055, 0.0531388168334961, 0.05318534469604492, 0.053166080474853515, 0.053172222137451174, 0.053135009765625, 0.05320534515380859, 0.053532032012939455, 0.0530926399230957, 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0.04511334228515625, 0.045123424530029294, 0.04555996704101563, 0.04522598266601562, 0.04524579238891602, 0.045300384521484376, 0.04532147216796875, 0.045384063720703124, 0.04537913513183594, 0.04526572799682617, 0.0453807373046875, 0.04548659133911133, 0.04543267059326172, 0.04543414306640625, 0.04436041641235351, 0.04416921615600586, 0.044111873626708986, 0.044133758544921874, 0.04427990341186523, 0.044298240661621094, 0.04430259323120117, 0.04431020736694336, 0.04441763305664063, 0.04440883255004883, 0.04434739303588867, 0.04434329605102539, 0.044342689514160157, 0.04440851211547851, 0.04451420974731445, 0.0444453125, 0.04443379211425781, 0.04448665618896484, 0.0445458869934082, 0.04454006576538086, 0.04460134506225586, 0.04466483306884766, 0.04461772918701172, 0.044593055725097655, 0.0446649284362793, 0.04475904083251953, 0.04469456100463867, 0.04467299270629883, 0.04476416015625, 0.044781505584716795, 0.04484659194946289, 0.044691169738769534, 0.04468822479248047, 0.04475904083251953, 0.04482457733154297, 0.04487168121337891, 0.04485734558105469, 0.0450088005065918, 0.04496700668334961, 0.04497651290893555, 0.044873374938964844, 0.04496892929077148, 0.04500457763671875, 0.04504598236083984, 0.04507148742675781, 0.0450384635925293, 0.045162494659423826, 0.04515225601196289, 0.045080577850341794, 0.045041664123535156, 0.04519724655151367, 0.04524652862548828, 0.045244415283203124, 0.04523164749145508, 0.04525212860107422, 0.04521459197998047, 0.04525676727294922, 0.04530543899536133, 0.04541481781005859, 0.04540415954589844, 0.04534207916259766, 0.045342975616455075, 0.04520550537109375, 0.04427881622314453, 0.04422716903686524, 0.04414502334594726, 0.04417046356201172, 0.0442130241394043, 0.04428358459472656, 0.04432048034667969, 0.04430873489379883, 0.04432726287841797, 0.044319744110107424, 0.04430131149291992, 0.04448806381225586, 0.04452211380004883, 0.044494049072265625, 0.04446063995361328, 0.04446579360961914, 0.04459145736694336, 0.04459132766723633, 0.04455424118041992, 0.044521472930908204, 0.04452096176147461, 0.04459571075439453, 0.044619071960449216, 0.04465939331054687, 0.044677120208740234, 0.044783615112304685, 0.04472956848144531, 0.04471273422241211, 0.04473820877075195, 0.04465264129638672, 0.04475107192993164, 0.04475088119506836, 0.044751937866210935, 0.04469219207763672, 0.0450615348815918, 0.044876609802246094, 0.044916736602783204, 0.04494745635986328, 0.04494441604614258, 0.0449730224609375, 0.044955646514892575, 0.0450437126159668, 0.045172737121582034, 0.045125633239746096, 0.04501094436645508, 0.04500889587402344, 0.04504780960083008, 0.04511328125, 0.04508268737792969, 0.04510435104370117, 0.045067039489746094, 0.04503548812866211, 0.04514726257324219, 0.045231006622314454, 0.045176830291748044, 0.04510486221313476, 0.045211936950683596, 0.0452911376953125, 0.045358783721923826, 0.04536751937866211, 0.045399967193603515, 0.04534124755859375, 0.04517724609375, 0.04428764724731445, 0.04413679885864258, 0.04407295989990234, 0.04434534454345703, 0.04422383880615234, 0.044284576416015624, 0.044303359985351565, 0.044372608184814456, 0.04433343887329102, 0.04434921646118164, 0.04438003158569336, 0.04441110229492187, 0.044379936218261716, 0.04445574569702149, 0.04444166564941406, 0.04447075271606445, 0.044578113555908204, 0.04455699157714844, 0.04457164764404297, 0.04456268692016602, 0.04456934356689453, 0.0445849609375, 0.04461119842529297, 0.04461782455444336, 0.04465488052368164, 0.044668926239013675, 0.044572673797607425, 0.04476927947998047, 0.04482048034667969, 0.04473651123046875, 0.04462387084960937, 0.04475699234008789, 0.04477337646484375, 0.04480819320678711, 0.044816383361816405, 0.044865535736083983, 0.04495286560058594, 0.04494351959228516, 0.05335302352905273, 0.05368832015991211, 0.05456486511230469, 0.05585715103149414, 0.0547327995300293, 0.05322547149658203, 0.05293017578125, 0.053104736328125, 0.053276958465576174, 0.053212257385253904, 0.056099742889404294, 0.053354496002197264, 0.05332083129882813, 0.053297889709472655, 0.05319196701049805, 0.053379329681396484, 0.053206687927246095, 0.05295955276489258, 0.053127838134765626, 0.05399961471557617, 0.053233665466308595, 0.053354496002197264, 0.05311459350585938, 0.05315203094482422]",tokens/s,20.687313284682414,,,
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4929.241088,8001.61792,0.0,7606.370304,6988.678144,s,1,13.9430087890625,13.9430087890625,0.0,13.9430087890625,13.9430087890625,13.9430087890625,13.9430087890625,[13.9430087890625],,kWh,0.00018919454070411725,2.0861765625099773e-05,7.585894957595762e-05,0.00028591525590517463,,MB,2811.670528,8018.395136,0.0,7608.467456,6915.136,s,10,2.2374570465087893,0.22374570465087892,0.00037969995005639054,0.22365451049804688,0.22425113830566407,0.22430920104980467,0.2243556512451172,"[0.2242382354736328, 0.22316246032714843, 0.2236561279296875, 0.22365289306640626, 0.2232406463623047, 0.22382080078125, 0.22364569091796874, 0.22354595947265626, 0.22412696838378907, 0.2243672637939453]",tokens/s,1144.1560426800104,kWh,6.628699578146822e-06,7.308311389348398e-07,4.388984992666057e-06,1.174851570974772e-05,tokens/kWh,21789986.609763592,MB,2815.934464,8020.492288,0.0,7610.564608,6915.13856,s,10,21.531000488281247,2.153100048828125,0.007082121175120396,2.1534468994140625,2.160139599609375,2.16175107421875,2.16304025390625,"[2.163362548828125, 2.148183349609375, 2.159029052734375, 2.158015625, 2.152819580078125, 2.1382724609375, 2.146603515625, 2.150858642578125, 2.15407421875, 2.159781494140625]",tokens/s,29.260135883740855,kWh,6.264239718852457e-05,6.908405714485793e-06,4.09264957041343e-05,0.00011047729860714466,tokens/kWh,570252.9007703827,,s,630,21.528521755218502,0.03417225675431509,0.0004772735727576938,0.034099822998046876,0.034559771347045895,0.03492978286743164,0.036041361808776866,"[0.03500147247314453, 0.034740222930908206, 0.034495361328125, 0.03453286361694336, 0.034643905639648434, 0.03560095977783203, 0.0345456657409668, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,11038.990336,14897.053696,0.0,14501.80608,13634.065408,s,1,18.719181640625,18.719181640625,0.0,18.719181640625,18.719181640625,18.719181640625,18.719181640625,[18.719181640625],,kWh,0.00034198201161249244,3.7715848971386735e-05,0.00015437345683199516,0.0005340713174158743,,MB,2041.290752,14911.73376,0.0,14501.80608,12898.96192,s,10,6.8069766235351565,0.6806976623535157,0.00043245650314753796,0.6807008361816407,0.6812607788085937,0.6812755004882812,0.6812872778320312,"[0.679794677734375, 0.6805288696289062, 0.6803720703125, 0.6804213256835937, 0.6808062133789062, 0.680595458984375, 0.6810659790039062, 0.6808442993164062, 0.6812575073242187, 0.6812902221679688]",tokens/s,376.08473505679257,kWh,1.9883856241666405e-05,2.1928306243289064e-06,1.3160492009867131e-05,3.523717887586244e-05,tokens/kWh,7265053.791674584,MB,2047.729664,14911.73376,0.0,14501.80608,13241.259008,s,10,39.032643798828126,3.9032643798828124,0.004029642901741416,3.9040800781250002,3.9065517822265625,3.9080163696289065,3.909188039550781,"[3.9038291015625, 3.90353759765625, 3.9043310546875, 3.90595458984375, 3.897573974609375, 3.89501171875, 3.9050361328125, 3.90948095703125, 3.906226318359375, 3.901662353515625]",tokens/s,16.140336361712563,kWh,0.00011425802097208299,1.2603256586144216e-05,7.603860712713239e-05,0.00020289988468535962,tokens/kWh,310497.9586247434,,s,630,39.02842597198486,0.061949882495214076,0.0004613444707387764,0.06196040153503418,0.06255189361572266,0.06267083473205566,0.06304915794372558,"[0.06164121627807617, 0.061228641510009764, 0.06112857437133789, 0.061268447875976566, 0.06133059310913086, 0.061350814819335936, 0.06136422348022461, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3552.100352,5264.83456,0.0,4869.586944,4520.068608,s,1,11.08853125,11.08853125,0.0,11.08853125,11.08853125,11.08853125,11.08853125,[11.08853125],,kWh,0.00012195984266666641,1.3445429172698094e-05,5.28433756079999e-05,0.0001882486474473644,,MB,1489.997824,5298.388992,0.0,4888.461312,4194.016256,s,10,1.8471275177001956,0.1847127517700195,0.0002522035746094528,0.18474337768554688,0.18496663665771484,0.18501363754272462,0.1850512382507324,"[0.1843956756591797, 0.18467015075683593, 0.18439353942871095, 0.18472857666015624, 0.18491842651367188, 0.18506063842773438, 0.1847581787109375, 0.18495619201660157, 0.18431417846679687, 0.1849319610595703]",tokens/s,1385.935716656629,kWh,5.451094363425919e-06,6.011560006089856e-07,3.6200286161851924e-06,9.672278980220097e-06,tokens/kWh,26467392.07207758,MB,1494.26176,5306.7776,0.0,4896.84992,4194.018816,s,10,19.221016967773437,1.9221016967773437,0.009146835434526338,1.919507080078125,1.9376085083007812,1.9383769470214842,1.9389916979980468,"[1.9136322021484375, 1.9104893798828124, 1.9193065185546876, 1.9391453857421874, 1.9268912353515626, 1.9148179931640625, 1.9212440185546875, 1.9197076416015626, 1.937437744140625, 1.9183448486328125]",tokens/s,32.77662160416787,kWh,5.602947284699082e-05,6.179889168601416e-06,3.400133481421482e-05,9.621069682980705e-05,tokens/kWh,654812.8438508717,,s,630,19.21847046661375,0.030505508677164714,0.0005148219707423202,0.030384927749633788,0.030966467475891112,0.03126797103881836,0.03259703628540041,"[0.030611455917358397, 0.0304967041015625, 0.03031612777709961, 0.03030825614929199, 0.030020160675048826, 0.03007916831970215, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2166.718464,2964.258816,0.0,2569.0112,2295.745536,s,1,11.1279580078125,11.1279580078125,0.0,11.1279580078125,11.1279580078125,11.1279580078125,11.1279580078125,[11.1279580078125],,kWh,8.049906672503463e-05,8.872083881687885e-06,3.1210302745998675e-05,0.00012058145335272118,,MB,2131.853312,2981.036032,0.0,2571.108352,2282.97216,s,10,1.0005862045288085,0.10005862045288086,0.0002416026830852026,0.09998668670654297,0.10033361968994141,0.10044057159423828,0.10052613311767578,"[0.10054752349853516, 0.09991827392578125, 0.10029766082763672, 0.09975218963623046, 0.10008512115478516, 0.09992655944824219, 0.09990780639648437, 0.10004681396484374, 0.10030985260009766, 0.09979440307617188]",tokens/s,2558.5001955983826,kWh,2.975335105260814e-06,3.2812588964280005e-07,1.9688595997777816e-06,5.272320594681396e-06,tokens/kWh,48555469.15304189,MB,2145.849344,2981.036032,0.0,2571.108352,2390.926848,s,10,18.799360107421872,1.8799360107421872,0.006567797939365876,1.8798137207031251,1.8885275390624998,1.8895375122070313,1.8903454907226562,"[1.8782554931640625, 1.8793629150390625, 1.8883031005859374, 1.8768994140625, 1.872440185546875, 1.88361767578125, 1.86726904296875, 1.8802645263671875, 1.8824002685546875, 1.8905474853515625]",tokens/s,33.511778932905266,kWh,5.4661805717654654e-05,6.028934780673097e-06,2.725338600022186e-05,8.794412649854961e-05,tokens/kWh,716363.9291026331,,s,630,18.796350204467796,0.029835476515028207,0.0005983430423490145,0.029766528129577634,0.030310063362121584,0.030632141304016113,0.031643901500701906,"[0.030085248947143553, 0.029583232879638672, 0.029198335647583007, 0.02931679916381836, 0.029225055694580077, 0.029317344665527344, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1339.273216,1148.125184,0.0,752.877568,710.554112,s,1,9.06067578125,9.06067578125,0.0,9.06067578125,9.06067578125,9.06067578125,9.06067578125,[9.06067578125],,kWh,4.953646999583725e-05,5.456865979846261e-06,1.666501333200121e-05,7.165834930768472e-05,,MB,1380.43392,1429.143552,0.0,1019.215872,949.09696,s,10,0.2942716503143311,0.02942716503143311,0.00022323368126339786,0.029456704139709473,0.029709081268310546,0.029712220954895018,0.029714732704162597,"[0.02908736038208008, 0.029266624450683593, 0.02917398452758789, 0.029661823272705078, 0.02954355239868164, 0.029525312423706054, 0.02971536064147949, 0.02938809585571289, 0.029201152801513672, 0.029708383560180664]",tokens/s,8699.44487437201,kWh,8.653325942554742e-07,9.542787400274307e-08,5.681242217574055e-07,1.528884690015623e-06,tokens/kWh,167442320.3213475,MB,1411.227648,1437.53216,0.0,1027.60448,949.09952,s,10,14.7783876953125,1.47783876953125,0.012717323493488161,1.4748740844726562,1.4969176635742187,1.4986131286621094,1.4999695007324219,"[1.465909423828125, 1.487019775390625, 1.4622545166015626, 1.4743558349609376, 1.475392333984375, 1.50030859375, 1.4965408935546876, 1.4825546875, 1.4701060791015625, 1.463945556640625]",tokens/s,42.629819503234934,kWh,4.354316999407808e-05,4.802410100368045e-06,1.7512890243041744e-05,6.585847033748786e-05,tokens/kWh,956596.7699699098,,s,630,14.776034406661996,0.02345402286771744,0.0004678781912243277,0.023406271934509275,0.023798483657836916,0.023929944038391115,0.025378705310821544,"[0.02317145538330078, 0.023236608505249022, 0.023126047134399415, 0.023090911865234376, 0.023014816284179687, 0.023077728271484375, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4758.388736,7635.59936,0.0,7233.077248,6543.2832,s,1,12.3408505859375,12.3408505859375,0.0,12.3408505859375,12.3408505859375,12.3408505859375,12.3408505859375,[12.3408505859375],,kWh,0.00015202254792084206,1.6761836748916948e-05,6.771255416998523e-05,0.00023649693883974422,,MB,1796.972544,7654.473728,0.0,7237.271552,5960.482816,s,10,2.4328533630371094,0.24328533630371094,0.00024076226537256992,0.24331623077392578,0.2436219467163086,0.24362496109008788,0.24362737258911132,"[0.2436279754638672, 0.24308323669433593, 0.24345068359375, 0.2428390655517578, 0.24317744445800782, 0.2430455322265625, 0.24337568664550782, 0.2433539581298828, 0.24327850341796875, 0.24362127685546875]",tokens/s,1052.2623512352443,kWh,7.159461614836304e-06,7.895647222964416e-07,4.757937410682496e-06,1.2706963747815242e-05,tokens/kWh,20146433.489590704,MB,1805.529088,7654.473728,0.0,7237.271552,5960.485376,s,10,24.600891357421876,2.4600891357421872,0.006768554399055857,2.458739013671875,2.469114306640625,2.4721555419921875,2.474588530273438,"[2.461261474609375, 2.4684384765625, 2.450878173828125, 2.459242431640625, 2.458235595703125, 2.47519677734375, 2.454518798828125, 2.4560732421875, 2.4555439453125, 2.46150244140625]",tokens/s,25.608828186216698,kWh,7.209802875140809e-05,7.951352123776644e-06,4.6588214777320706e-05,0.0001266375956525054,tokens/kWh,497482.59729182255,,s,630,24.598819301605253,0.0390457449231829,0.0004906395163426348,0.03893424034118652,0.03935225143432618,0.039595933532714844,0.041793840713501,"[0.03940937423706055, 0.038965984344482424, 0.03891404724121094, 0.03896319961547851, 0.038954113006591795, 0.038886398315429685, 0.03889123153686523, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 222738 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7361.441792,9673.048064,0.0,9277.800448,8679.633408,s,1,14.699318359375,14.699318359375,0.0,14.699318359375,14.699318359375,14.699318359375,14.699318359375,[14.699318359375],,kWh,0.00022458091174167217,2.4765545809885814e-05,0.00010117424760598681,0.00035052070515754477,,MB,1702.240256,9687.728128,0.0,9277.800448,8206.575616,s,10,3.9106325683593752,0.3910632568359375,0.0018663111923173303,0.39105384826660156,0.3933038970947265,0.393489030456543,0.39363713714599613,"[0.3874965209960938, 0.391135498046875, 0.389873779296875, 0.39326275634765623, 0.389359375, 0.3922892150878906, 0.39097219848632814, 0.39278826904296876, 0.3936741638183594, 0.3897807922363281]",tokens/s,654.6255510458235,kWh,1.1371556762821183e-05,1.254069628126514e-06,7.523809437846008e-06,2.014943582879371e-05,tokens/kWh,12705070.364013562,MB,1709.735936,9687.728128,0.0,9277.800448,8480.92416,s,10,27.260906982421876,2.7260906982421877,0.004611978211197152,2.72476708984375,2.7334384521484374,2.7347204467773434,2.7357460424804687,"[2.73600244140625, 2.722218505859375, 2.724154296875, 2.7224716796875, 2.72430078125, 2.7252333984375, 2.733153564453125, 2.727108154296875, 2.72086767578125, 2.725396484375]",tokens/s,23.11001612698472,kWh,7.990248834301077e-05,8.813380497793079e-06,5.313982242635492e-05,0.00014185569126715872,tokens/kWh,444113.30583382276,,s,630,27.257424415588368,0.04326575304061648,0.0005153213214338492,0.04324404716491699,0.04369912796020508,0.04383510227203369,0.044511854667663574,"[0.044332801818847654, 0.0430247688293457, 0.04291785430908203, 0.0427848014831543, 0.04272111892700195, 0.042909854888916014, 0.04286873626708984, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4142.239744,5959.974912,0.0,5557.4528,5102.547968,s,1,11.3579736328125,11.3579736328125,0.0,11.3579736328125,11.3579736328125,11.3579736328125,11.3579736328125,[11.3579736328125],,kWh,0.0001232327817875178,1.3586307343211346e-05,5.5161710796003405e-05,0.00019198079992673256,,MB,1471.340544,5993.529344,0.0,5576.327168,4701.113344,s,10,2.2378789062499997,0.22378789062499999,0.0002189927741978738,0.22382008361816408,0.22403562774658203,0.2240372688293457,0.22403858169555663,"[0.22368531799316407, 0.22403890991210937, 0.22381356811523437, 0.22393299865722657, 0.22403526306152344, 0.22382659912109376, 0.22357075500488283, 0.22367919921875, 0.2233137664794922, 0.22398252868652344]",tokens/s,1143.940359261787,kWh,6.600594317592031e-06,7.275468419877332e-07,4.385892397599604e-06,1.1714033557179369e-05,tokens/kWh,21854128.9599688,MB,1500.033024,5993.529344,0.0,5576.327168,4701.115904,s,10,32.09952001953125,3.2099520019531247,0.006455107516177166,3.2110751953125,3.216955102539062,3.2182889526367187,3.219356032714844,"[3.219622802734375, 3.212086669921875, 3.210063720703125, 3.2137177734375, 3.216244140625, 3.204347900390625, 3.20202587890625, 3.20470263671875, 3.2000498046875, 3.21665869140625]",tokens/s,19.626461692158347,kWh,8.13811449386552e-05,8.976775670583635e-06,4.489475813800094e-05,0.0001352526787472398,tokens/kWh,465794.84105992754,,s,630,32.097109970092745,0.05094779360332186,0.0006652971880553079,0.05079310417175293,0.05134559288024902,0.051735566139221194,0.054517566986083996,"[0.051076671600341794, 0.05143222427368164, 0.050884033203125, 0.05075392150878906, 0.05105635070800781, 0.05120582580566406, 0.05112313461303711, 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0.022632064819335936, 0.022769567489624023, 0.022870399475097655, 0.022716415405273437, 0.023000511169433593, 0.02267350387573242, 0.022567392349243164, 0.022333120346069334, 0.02231715202331543, 0.02249545669555664, 0.022681312561035158, 0.022849279403686522, 0.022771360397338868, 0.022710752487182618, 0.022309024810791014, 0.02228268814086914, 0.023027872085571287, 0.024768192291259764, 0.022228511810302734, 0.022177600860595705, 0.02204640007019043, 0.021866592407226562, 0.021965919494628908, 0.022081567764282228, 0.022271711349487303, 0.022380544662475587]",tokens/s,44.52740848131149,,,
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3130.662912,4369.350656,0.0,3990.880256,3908.719616,s,1,10.236123046875,10.236123046875,0.0,10.236123046875,10.236123046875,10.236123046875,10.236123046875,[10.236123046875],,kWh,9.583114598749489e-05,1.056201819548879e-05,3.11369693540009e-05,0.00013753013353698458,,MB,3038.547968,4736.352256,0.0,4328.521728,4275.211264,s,10,2.2004496765136716,0.22004496765136716,0.0017202474563007386,0.22012940979003906,0.22196122589111328,0.22231882400512695,0.22260490249633788,"[0.21974082946777343, 0.21711001586914064, 0.21838937377929687, 0.21789814758300782, 0.22267642211914063, 0.22020541381835937, 0.22084617614746094, 0.22164813232421876, 0.22005340576171875, 0.2218817596435547]",tokens/s,1163.3985668129387,kWh,6.732886124338178e-06,7.425168213095678e-07,4.457497252863894e-06,1.193290019851164e-05,tokens/kWh,21453292.63978343,MB,3045.90848,4738.449408,0.0,4330.61888,4275.213824,s,10,33.801979003906254,3.3801979003906255,0.032645405571140824,3.3820683593750003,3.4161689453125,3.4249503173828124,3.4319754150390627,"[3.38634912109375, 3.319181640625, 3.352884765625, 3.361162353515625, 3.3530166015625, 3.414217529296875, 3.37778759765625, 3.395310546875, 3.433731689453125, 3.408337158203125]",tokens/s,18.637961994094944,kWh,9.909167303066185e-05,1.0930001910182555e-05,5.104018603413411e-05,0.0001610618609749785,tokens/kWh,391154.0548372731,,s,630,33.79927659225466,0.05364964538453117,0.0010443882622783844,0.05361448097229004,0.05456036338806153,0.054943120002746586,0.05713659645080567,"[0.05480243301391602, 0.05358102416992187, 0.053728031158447265, 0.053386878967285153, 0.05339993667602539, 0.0534466552734375, 0.053437599182128905, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4359.479296,4562.28864,0.0,4183.81824,4182.069248,s,1,10.2638212890625,10.2638212890625,0.0,10.2638212890625,10.2638212890625,10.2638212890625,10.2638212890625,[10.2638212890625],,kWh,9.306532716250094e-05,1.0258485197407685e-05,2.925252340199992e-05,0.00013257633576190854,,MB,1650.229248,4715.380736,0.0,4307.550208,4281.174016,s,10,4.167554779052734,0.41675547790527345,0.006229591291880606,0.41788583374023436,0.42322588806152345,0.42383643951416017,0.42432488067626956,"[0.40105911254882814, 0.4190422668457031, 0.4153018798828125, 0.41954266357421877, 0.42015341186523436, 0.4149872131347656, 0.4167294006347656, 0.4244469909667969, 0.41320162963867185, 0.4230902099609375]",tokens/s,614.2690704072463,kWh,1.2115698900666626e-05,1.3361515482894504e-06,8.055739777919988e-06,2.1507590226876064e-05,tokens/kWh,11902774.662318991,MB,1658.617856,4730.0608,0.0,4322.230272,4281.176576,s,10,25.517523681640625,2.551752368164063,0.01786764099154408,2.5614346923828126,2.569007763671875,2.569834814453125,2.5704964550781253,"[2.522132080078125, 2.530519775390625, 2.5293154296875, 2.564641357421875, 2.541203125, 2.568823974609375, 2.567356689453125, 2.570661865234375, 2.560109130859375, 2.56276025390625]",tokens/s,24.68891605078721,kWh,7.458373593766659e-05,8.226687555871763e-06,4.913483375228005e-05,0.00013194525724581844,tokens/kWh,477470.7429053618,,s,630,25.51400104522709,0.04049841435750325,0.0006892768181309524,0.04049379348754883,0.04097646636962891,0.04123205833435059,0.043241351547241215,"[0.042024959564208986, 0.04011318588256836, 0.04326089477539063, 0.03966345596313477, 0.039863967895507814, 0.0402474250793457, 0.04042176055908203, 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0.040618751525878904, 0.040654880523681644, 0.04057088088989258, 0.040591358184814456, 0.04057907104492187, 0.040509441375732425, 0.04055859375, 0.040499198913574216, 0.04066918563842774, 0.040648414611816404, 0.0406715202331543, 0.04090060806274414, 0.04107468795776367]",tokens/s,24.69232477035801,,,
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2043.994112,2084.438016,0.0,1698.69312,1578.029056,s,1,9.0598056640625,9.0598056640625,0.0,9.0598056640625,9.0598056640625,9.0598056640625,9.0598056640625,[9.0598056640625],,kWh,4.774328895002782e-05,5.2541440592774355e-06,1.5968623886003508e-05,6.896605689530875e-05,,MB,1559.560192,2199.781376,0.0,1784.676352,1744.498688,s,10,1.3894958648681641,0.1389495864868164,0.0020308874650182386,0.13906698608398438,0.14082433013916015,0.1413388542175293,0.14175047348022463,"[0.1337958068847656, 0.13924552917480468, 0.13840390014648438, 0.14185337829589845, 0.14070999145507812, 0.13972726440429686, 0.13888844299316405, 0.13815449523925782, 0.14013055419921874, 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0.06602035522460938]",tokens/s,15.173044259830721,,,
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7172.022272,10246.5536,0.0,9860.808704,9797.323264,s,1,13.2211689453125,13.2211689453125,0.0,13.2211689453125,13.2211689453125,13.2211689453125,13.2211689453125,[13.2211689453125],,kWh,0.00016171045942918073,1.782812838696042e-05,5.287448674400064e-05,0.00023241307456014178,,MB,3114.426368,10626.138112,0.0,10211.033088,10096.966144,s,10,7.538050537109375,0.7538050537109375,0.00793216900750495,0.7540419616699219,0.7613850219726562,0.7631519531250001,0.764565498046875,"[0.7330369873046875, 0.7515281982421875, 0.7533756713867188, 0.7528856201171875, 0.7609923706054688, 0.75665185546875, 0.7649188842773438, 0.7565770263671875, 0.7534981079101563, 0.7545858154296875]",tokens/s,339.61035249064355,kWh,2.1851729629166053e-05,2.4097313488246706e-06,1.442136074342826e-05,3.8682821721418984e-05,tokens/kWh,6617924.665465931,MB,3130.580992,10630.332416,0.0,10213.13024,10096.968704,s,10,37.540674560546876,3.7540674560546874,0.010010934544368294,3.7587991943359373,3.762990649414063,3.7641482788085936,3.7650743823242188,"[3.7627333984375, 3.765305908203125, 3.742988525390625, 3.737947265625, 3.760489013671875, 3.737583984375, 3.754548828125, 3.757109375, 3.7611796875, 3.76078857421875]",tokens/s,16.781797540263018,kWh,0.0001096356925441675,1.2092824354417807e-05,7.289840355677225e-05,0.00019462692045535754,tokens/kWh,323696.2279041485,,s,630,37.537324813842794,0.059583055260067894,0.0007962526358102235,0.05942601585388184,0.060120168304443354,0.06054462490081787,0.0634981608581543,"[0.06065737533569336, 0.05999235153198242, 0.06016950225830078, 0.059509471893310545, 0.05974371337890625, 0.059731998443603516, 0.05959084701538086, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 109955 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.025761791229248047, 0.025411584854125976, 0.025202688217163087, 0.02533785629272461, 0.025253599166870117, 0.025149728775024412, 0.02527663993835449, 0.025347936630249025, 0.025321184158325197, 0.0253603515625, 0.02545894432067871, 0.030086784362792968, 0.025512287139892578, 0.02519862365722656, 0.025621503829956056, 0.025455392837524415, 0.025453983306884767, 0.02525254440307617, 0.02539491271972656, 0.02517852783203125, 0.025536096572875977, 0.02521913528442383, 0.025432096481323243, 0.025421567916870117, 0.02524012756347656, 0.025370624542236327, 0.025503103256225585]",tokens/s,39.09958819537952,,,
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1479.483392,1324.285952,0.0,945.815552,943.480832,s,1,8.6265927734375,8.6265927734375,0.0,8.6265927734375,8.6265927734375,8.6265927734375,8.6265927734375,[8.6265927734375],,kWh,3.7683497074990176e-05,4.149340682252034e-06,1.2175009740003628e-05,5.4007847497245837e-05,,MB,1564.012544,1487.863808,0.0,1080.03328,1046.51776,s,10,0.8680324630737304,0.08680324630737304,0.0006278083832273644,0.08660831832885743,0.08742984313964844,0.0878890167236328,0.08825635559082032,"[0.08834819030761719, 0.08587276458740234, 0.08732780456542968, 0.08653225708007813, 0.08689542388916016, 0.08658422088623047, 0.08647846221923829, 0.08643663787841797, 0.08663241577148438, 0.08692428588867188]",tokens/s,2949.1984561671334,kWh,2.7090827212576394e-06,2.987616894364072e-07,1.794060077222214e-06,4.801904487916261e-06,tokens/kWh,53312180.749161184,MB,1567.834112,1573.84704,0.0,1166.016512,1082.822656,s,10,15.914975585937501,1.5914975585937499,0.01135133220021555,1.58663525390625,1.6098780395507812,1.611726983642578,1.6132061389160157,"[1.5799921875, 1.613575927734375, 1.58172900390625, 1.5866124267578126, 1.59975390625, 1.6094671630859374, 1.5866580810546875, 1.582243408203125, 1.5903753662109374, 1.584568115234375]",tokens/s,39.58535761479076,kWh,4.6502290346242e-05,5.128885789732272e-06,2.1754403205977757e-05,7.338557934195202e-05,tokens/kWh,858479.2893225149,,s,630,15.912596687316864,0.025258089979868087,0.00046688073172256815,0.02511844730377197,0.025812412071228027,0.02593710994720459,0.02718702049255372,"[0.025034719467163086, 0.024907808303833007, 0.024838144302368165, 0.025008127212524413, 0.02488035202026367, 0.0248306884765625, 0.02478291130065918, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 290232 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3894, in from_pretrained
    hf_quantizer.preprocess_model(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model
    return self._process_model_before_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 85, in _process_model_before_weight_loading
    model, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  [Previous line repeated 1 more time]
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 166, in replace_with_awq_linear
    model._modules[name] = target_cls(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/gemm.py"", line 131, in __init__
    assert out_features % (32 // self.w_bit) == 0
AssertionError

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1550.06976,1546.584064,0.0,1168.113664,1154.613248,s,1,8.5274755859375,8.5274755859375,0.0,8.5274755859375,8.5274755859375,8.5274755859375,8.5274755859375,[8.5274755859375],,kWh,4.070899408332024e-05,4.479947221899825e-06,1.3120843829997342e-05,5.8309785135217407e-05,,MB,1664.581632,1796.145152,0.0,1388.314624,1334.065152,s,10,0.8429779586791992,0.08429779586791993,0.0010402176392791894,0.08405886459350587,0.08557998428344726,0.08595285682678223,0.0862511548614502,"[0.08632572937011719, 0.08418966674804687, 0.08447596740722656, 0.08356633758544922, 0.08264189147949219, 0.08356393432617187, 0.08392806243896485, 0.08549712371826172, 0.08518681335449219, 0.08360243225097656]",tokens/s,3036.8528306612875,kWh,2.654149214393838e-06,2.9270417739078424e-07,1.7587312049636856e-06,4.705584596748308e-06,tokens/kWh,54403442.27939356,MB,1672.728576,1796.145152,0.0,1388.314624,1372.847616,s,10,17.796296264648436,1.7796296264648437,0.018806836818460466,1.7843126831054688,1.7998743530273436,1.8018918273925781,1.8035058068847656,"[1.754376953125, 1.8039093017578125, 1.797359130859375, 1.775194580078125, 1.799426025390625, 1.780257568359375, 1.790001953125, 1.7883677978515624, 1.7484576416015625, 1.7589453125]",tokens/s,35.40062441259013,kWh,5.1194525785188586e-05,5.646437273394922e-06,2.3576205729637518e-05,8.041716878822102e-05,tokens/kWh,783414.7974782697,,s,630,17.79308543968202,0.02824299276140001,0.0011451475570666266,0.028156975746154785,0.028709516906738283,0.02893239507675171,0.03039027721405029,"[0.028347967147827148, 0.028173887252807617, 0.02804630470275879, 0.027898815155029295, 0.027630207061767578, 0.027489696502685547, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 25201 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,6655.082496,7525.564416,0.0,7147.094016,7138.9184,s,1,11.4468486328125,11.4468486328125,0.0,11.4468486328125,11.4468486328125,11.4468486328125,11.4468486328125,[11.4468486328125],,kWh,0.00013003639331662573,1.4336647016102484e-05,4.1124477344001154e-05,0.00018549751767672935,,MB,1625.870336,8226.013184,0.0,7818.182656,7724.300288,s,10,7.336798767089843,0.7336798767089843,0.0035879936953573557,0.7331307373046876,0.738969970703125,0.7389776611328125,0.7389838134765625,"[0.7282850341796875, 0.7327047729492188, 0.7337333984375, 0.7297399291992187, 0.7321773071289063, 0.7389853515625, 0.7308643798828125, 0.7335567016601563, 0.7377836303710937, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,8560.14848,9684.516864,0.0,9298.771968,9263.222784,s,1,12.163900390625,12.163900390625,0.0,12.163900390625,12.163900390625,12.163900390625,12.163900390625,[12.163900390625],,kWh,0.0001517961678916663,1.673694555879856e-05,4.8951428049989754e-05,0.0002174845415004546,,MB,1683.324928,10212.999168,0.0,9795.796992,9630.892032,s,10,9.912059020996093,0.9912059020996093,0.0038006665948832476,0.9922361145019531,0.9953161010742188,0.9953625183105469,0.9953996520996095,"[0.9832613525390625, 0.986759765625, 0.9891617431640625, 0.9897316284179688, 0.991806396484375, 0.9926658325195312, 0.9927808227539062, 0.9951767578125, 0.9953057861328125, 0.995408935546875]",tokens/s,258.27126276965384,kWh,2.9099292183709756e-05,3.2091814290894954e-06,1.9378778129272327e-05,5.1687251742071574e-05,tokens/kWh,4952865.3850176595,MB,1695.014912,10212.999168,0.0,9795.796992,9630.894592,s,10,37.24218530273438,3.724218530273437,0.008930001209085077,3.7244676513671875,3.7364590576171874,3.7371877807617184,3.7377707592773435,"[3.71283203125, 3.714314453125, 3.714672119140625, 3.717202880859375, 3.7206826171875, 3.729893798828125, 3.728252685546875, 3.73012109375, 3.736297119140625, 3.73791650390625]",tokens/s,16.916300557522455,kWh,0.00010920966293045758,1.2046577502382735e-05,7.246279534392661e-05,0.0001937190357767669,tokens/kWh,325213.26439286204,,s,630,37.23965587997444,0.0591105648888482,0.0008224849715064937,0.05888734436035156,0.060195682144165034,0.06050549945831299,0.061831126060485846,"[0.0619582405090332, 0.05828851318359375, 0.057810047149658206, 0.05768486404418945, 0.05785951995849609, 0.05775417709350586, 0.05803417587280273, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4604.7232,7227.768832,0.0,6849.298432,6444.4416,s,1,11.1192958984375,11.1192958984375,0.0,11.1192958984375,11.1192958984375,11.1192958984375,11.1192958984375,[11.1192958984375],,kWh,0.00012169366612085166,1.3416325208518818e-05,3.794947480398325e-05,0.00017305946613335374,,MB,2513.809408,7580.090368,0.0,7172.25984,6822.664192,s,10,3.846915252685547,0.38469152526855466,0.0043924681989724905,0.3848624725341797,0.38978692932128906,0.39062753448486326,0.39130001861572267,"[0.3787657470703125, 0.38294061279296876, 0.3786228332519531, 0.3816611633300781, 0.38704428100585936, 0.3867843322753906, 0.3812321472167969, 0.3896001281738281, 0.3887958679199219, 0.3914681396484375]",tokens/s,665.4682601112291,kWh,1.1370956313141551e-05,1.2540068247944957e-06,7.534941925385192e-06,2.015990506332124e-05,tokens/kWh,12698472.497559736,MB,2518.134784,7582.18752,0.0,7174.356992,6822.666752,s,10,29.13516845703124,2.913516845703125,0.014485912871789908,2.9170203857421875,2.9270207763671876,2.928691906738281,2.9300288110351564,"[2.914953125, 2.9266494140625, 2.926602294921875, 2.919087646484375, 2.924760009765625, 2.899684814453125, 2.901277099609375, 2.9091103515625, 2.930363037109375, 2.8826806640625]",tokens/s,21.62335189271785,kWh,8.464683113810947e-05,9.336741846009291e-06,5.5548302985614514e-05,0.00014953187596973327,tokens/kWh,421314.8507061586,,s,630,29.13214030838015,0.04624149255298433,0.0007635289994446567,0.04621358299255371,0.04679281387329101,0.04714868049621582,0.049186877937316895,"[0.047429630279541016, 0.046777664184570314, 0.046368606567382814, 0.04650419235229492, 0.046519073486328125, 0.04616377639770508, 0.04576847839355469, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4628.176896,6587.02336,0.0,6201.278464,6094.567936,s,1,10.8204833984375,10.8204833984375,0.0,10.8204833984375,10.8204833984375,10.8204833984375,10.8204833984375,[10.8204833984375],,kWh,0.00010622374539584597,1.171002278867517e-05,3.372086031000476e-05,0.0001516546284945259,,MB,1984.63488,7656.57088,0.0,7237.271552,6740.83328,s,10,6.285500610351562,0.6285500610351562,0.0016798519262076473,0.6281152954101563,0.631590283203125,0.6316754821777344,0.6317436413574219,"[0.6317606811523437, 0.6287974243164063, 0.62806640625, 0.6315713500976563, 0.6284917602539063, 0.6281641845703125, 0.6270883178710938, 0.6275939331054687, 0.6265503540039062, 0.6274161987304687]",tokens/s,407.2865724941539,kWh,2.4094233450001084e-05,2.6571981577322627e-06,1.474400752169083e-05,4.149543912942418e-05,tokens/kWh,6169352.713717202,MB,1988.58752,7658.668032,0.0,7239.368704,6740.83584,s,10,44.0696572265625,4.40696572265625,0.04051366650668356,4.3963349609375,4.45908583984375,4.459823681640625,4.460413955078125,"[4.4377373046875, 4.4605615234375, 4.458921875, 4.4550537109375, 4.35621875, 4.3865625, 4.3886259765625, 4.3635986328125, 4.3583330078125, 4.4040439453125]",tokens/s,14.295550264009643,kWh,0.00016103574602791866,1.7763312511057955e-05,8.96366315383069e-05,0.0002684356900772835,tokens/kWh,234693.08414936217,,s,630,44.06776243591311,0.06994882926335409,0.0010725276021198824,0.0698565902709961,0.07101840744018555,0.07160470161437989,0.0735778109741211,"[0.07092892456054688, 0.07035305786132813, 0.07010099029541016, 0.07027507019042968, 0.0698757095336914, 0.0698564453125, 0.07003218841552734, 0.07083955383300782, 0.07030655670166015, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3546.959872,4490.985472,0.0,4112.515072,3975.832064,s,1,9.7631337890625,9.7631337890625,0.0,9.7631337890625,9.7631337890625,9.7631337890625,9.7631337890625,[9.7631337890625],,kWh,8.129022722916588e-05,8.9596226684968e-06,2.642113224800009e-05,0.00011667098214566276,,MB,1479.933952,4688.11776,0.0,4280.287232,4101.544448,s,10,3.15926431274414,0.315926431274414,0.0010109459895497204,0.31538465881347655,0.31761447753906247,0.3176444427490234,0.3176684149169922,"[0.315052734375, 0.3151170043945313, 0.3151600952148437, 0.315346923828125, 0.317018798828125, 0.3176744079589844, 0.3156051330566406, 0.31542239379882814, 0.31525900268554685, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2193.03936,2479.816704,0.0,2101.346304,1978.345472,s,1,9.1729736328125,9.1729736328125,0.0,9.1729736328125,9.1729736328125,9.1729736328125,9.1729736328125,[9.1729736328125],,kWh,5.379501379585842e-05,5.926686920874674e-06,1.6791680099992323e-05,7.651338081672542e-05,,MB,2226.229248,2817.458176,0.0,2409.627648,2250.334208,s,10,1.6971580505371096,0.16971580505371092,0.0006403378374378439,0.16959552001953127,0.17055413208007814,0.1706893051147461,0.17079744354248047,"[0.16978909301757814, 0.16916297912597655, 0.1688795166015625, 0.169161376953125, 0.16909584045410156, 0.17082447814941407, 0.16940194702148437, 0.17005043029785155, 0.1705240936279297, 0.17026829528808593]",tokens/s,1508.4040046770083,kWh,5.167874112865783e-06,5.696213223745739e-07,3.4221128741403476e-06,9.159608309380703e-06,tokens/kWh,27948793.371199146,MB,2240.802816,2859.401216,0.0,2451.570688,2333.38624,s,10,23.642529052734375,2.3642529052734376,0.01051823980940855,2.363437744140625,2.3755578857421873,2.379169201660156,2.3820582543945314,"[2.36325146484375, 2.34633642578125, 2.373258544921875, 2.354318115234375, 2.357580078125, 2.370532470703125, 2.37475537109375, 2.356092041015625, 2.3636240234375, 2.382780517578125]",tokens/s,26.64689545669131,kWh,6.805154646213757e-05,7.506256485265811e-06,3.445113964666052e-05,0.00011000894259406391,tokens/kWh,572680.7158984499,,s,630,23.63888668060304,0.037522042350163536,0.0005600282889955902,0.03745980834960938,0.037916993331909184,0.038079124450683594,0.03949451812744141,"[0.03775897598266602, 0.03779379272460937, 0.038078369140625, 0.03741500854492188, 0.03747840118408203, 0.037695297241210936, 0.03734102249145508, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1308.635136,1083.113472,0.0,704.643072,675.01056,s,1,8.2532353515625,8.2532353515625,0.0,8.2532353515625,8.2532353515625,8.2532353515625,8.2532353515625,[8.2532353515625],,kWh,3.6389911249989386e-05,4.006824042660556e-06,1.103473104999142e-05,5.143146634264136e-05,,MB,1354.149888,1401.880576,0.0,994.050048,942.608384,s,10,0.3598317146301269,0.0359831714630127,0.00035803077395493477,0.03605726432800293,0.036346069717407226,0.036394411277770995,0.03643308452606201,"[0.036157215118408206, 0.03584652709960937, 0.0359681282043457, 0.0363353271484375, 0.036146400451660156, 0.035140865325927736, 0.035953792572021484, 0.036442752838134765, 0.035644161224365235, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 221335 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.02629987144470215]",tokens/s,9680.170885098638,kWh,7.845071920687655e-07,8.6487847512809e-08,5.175160529758188e-07,1.3885110925573936e-06,tokens/kWh,184370151.14405242,MB,1334.403072,798.88384,0.0,383.778816,300.080128,s,10,15.148976684570314,1.514897668457031,0.009352996026026794,1.5106460571289064,1.5295677734375002,1.531922802734375,1.533806826171875,"[1.52904443359375, 1.5050645751953124, 1.5075283203125, 1.511752685546875, 1.5195665283203126, 1.508105224609375, 1.53427783203125, 1.5095394287109376, 1.5084923095703124, 1.5156053466796875]",tokens/s,41.58696743138261,kWh,4.623332609167982e-05,5.099193655719929e-06,2.0634834202223306e-05,7.196735394962307e-05,tokens/kWh,875396.9201660494,,s,630,15.143198366165144,0.02403682280343676,0.00044826034417108933,0.023963360786437987,0.024504905128479006,0.024776206016540528,0.02566798421859742,"[0.024414207458496092, 0.023951520919799806, 0.02391708755493164, 0.023879680633544922, 0.024051616668701172, 0.024047712326049804, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7396.02432,7808.679936,0.0,7430.209536,7414.23104,s,1,11.616208984375,11.616208984375,0.0,11.616208984375,11.616208984375,11.616208984375,11.616208984375,[11.616208984375],,kWh,0.00013592565134166532,1.4986332407818976e-05,4.339864583000064e-05,0.00019431062957948493,,MB,1713.31584,8584.626176,0.0,8176.795648,8052.041728,s,10,8.148107971191406,0.8148107971191407,0.0047949582500165676,0.8145799255371093,0.8220338745117187,0.8220945739746094,0.8221431335449219,"[0.8057255249023437, 0.8153632202148438, 0.8114178466796875, 0.8112008056640625, 0.8127526245117187, 0.8146031494140625, 0.8221552734375, 0.8145567016601563, 0.8220203857421875, 0.8183124389648437]",tokens/s,314.18336735978227,kWh,2.38148693461525e-05,2.6263624427553085e-06,1.577599552676885e-05,4.221722731567666e-05,tokens/kWh,6063875.253715175,MB,1718.489088,8731.426816,0.0,8323.596288,8263.496192,s,10,37.15159716796875,3.715159716796875,0.007612190100120031,3.7147086181640625,3.7254406738281247,3.7262239990234374,3.7268506591796875,"[3.707013671875, 3.70830029296875, 3.706685791015625, 3.72264990234375, 3.706224365234375, 3.719031982421875, 3.714274169921875, 3.7252666015625, 3.72700732421875, 3.71514306640625]",tokens/s,16.957548208537624,kWh,0.00010844988760218326,1.196271960611995e-05,7.21384914714313e-05,0.0001925510986797345,tokens/kWh,327185.8765386031,,s,630,37.148054981231695,0.058965166636875704,0.0006265357516154737,0.05891768074035644,0.05953139877319336,0.05977858848571777,0.0611574122619629,"[0.06155952072143555, 0.05867504119873047, 0.05842534255981445, 0.05816038513183594, 0.058156993865966795, 0.058202945709228515, 0.05829609680175781, 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4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4147.081216,4758.306816,0.0,4372.56192,4292.521984,s,1,10.4303134765625,10.4303134765625,0.0,10.4303134765625,10.4303134765625,10.4303134765625,10.4303134765625,[10.4303134765625],,kWh,8.556503264168971e-05,9.430852056552683e-06,2.722641066998932e-05,0.00012222229536823173,,MB,1416.237056,5045.61664,0.0,4628.414464,4562.7008,s,10,3.9022229614257813,0.39022229614257814,0.001694630852617215,0.3903907012939453,0.3919876220703125,0.39240007629394535,0.3927300396728516,"[0.3869678649902344, 0.3893675537109375, 0.38851165771484375, 0.38892413330078124, 0.39027044677734374, 0.3915806579589844, 0.3918959655761719, 0.3913811950683594, 0.3905109558105469, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciLM-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciLM-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpnu7l5whr/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1174, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 894, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 507, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 436, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 115469 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp2w614cxh/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-14B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-14B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-72B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-72B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 295177 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4088, in from_pretrained
    hf_quantizer.postprocess_model(model)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 195, in postprocess_model
    return self._process_model_after_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 107, in _process_model_after_weight_loading
    model = post_init_awq_exllama_modules(model, self.quantization_config.exllama_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 460, in post_init_awq_exllama_modules
    model = exllamav2_post_init(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllamav2.py"", line 193, in exllamav2_post_init
    submodule.post_init(scratch_space=model.scratch_spaces[device])
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllamav2.py"", line 78, in post_init
    self.q_handle = exlv2_ext.make_q_matrix(
RuntimeError: q_weight and gptq_scales have incompatible shapes

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 31170 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp6vdra2iq/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpp18bxefd/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciCoder-1b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciCoder-1b.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpb2il6fo7/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 1039, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 816, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 551, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 384, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 226513 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpfvmzarta/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpqjq6hild/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,1042.612224,1144.91392,0.0,742.391808,732.914176,s,1,10.1074755859375,10.1074755859375,0.0,10.1074755859375,10.1074755859375,10.1074755859375,10.1074755859375,[10.1074755859375],,kWh,2.750154889999597e-05,3.0263804994625563e-06,7.804450687999218e-06,3.833238008745775e-05,,MB,1424.216064,1442.709504,0.0,1025.507328,998.26688,s,10,1.6002793121337888,0.1600279312133789,0.0005895228223081523,0.16004956817626953,0.16052415313720703,0.16086465377807618,0.1611370542907715,"[0.1612051544189453, 0.1602379913330078, 0.16027462768554687, 0.1600589141845703, 0.1597403564453125, 0.15999049377441407, 0.160448486328125, 0.16004022216796876, 0.15886671447753906, 0.15941635131835938]",tokens/s,1599.720736617243,kWh,4.857955478756871e-06,5.35743062550531e-07,3.2048067532786993e-06,8.598505294586102e-06,tokens/kWh,29772616.4291817,MB,1457.84832,1480.45824,0.0,1063.256064,998.793728,s,10,13.25366162109375,1.325366162109375,0.0033258237405454586,1.3258905639648437,1.3289847900390623,1.3294173217773437,1.3297633471679686,"[1.329849853515625, 1.32727490234375, 1.3204161376953125, 1.323845947265625, 1.328888671875, 1.3269556884765625, 1.320719482421875, 1.324825439453125, 1.322035400390625, 1.32885009765625]",tokens/s,47.53403383992609,kWh,3.844562345582635e-05,4.240225227914658e-06,1.6075930893521183e-05,5.876177957726218e-05,tokens/kWh,1072125.460685976,,s,630,13.250970167160029,0.0210332859796191,0.00030195376754496247,0.020975600242614745,0.02125663433074951,0.021512806129455567,0.02224334568023682,"[0.021622848510742188, 0.021127103805541992, 0.021073312759399415, 0.021097312927246092, 0.021083168029785156, 0.021270751953125, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp2ml8qurm/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,MB,1010.950144,1067.319296,0.0,681.5744,672.587776,s,1,10.1887001953125,10.1887001953125,0.0,10.1887001953125,10.1887001953125,10.1887001953125,10.1887001953125,[10.1887001953125],,kWh,2.337521926249811e-05,2.5711296368454564e-06,6.917505533998725e-06,3.286385443334229e-05,,MB,1418.3424,1436.418048,0.0,1021.313024,979.26144,s,10,0.34678134918212894,0.034678134918212894,0.00013174736112590835,0.03464809608459472,0.0347925422668457,0.03490297546386719,0.034991322021484375,"[0.03501340866088867, 0.0346209602355957, 0.034768001556396484, 0.034540641784667966, 0.03452959823608399, 0.03473196792602539, 0.03463772964477539, 0.03461715316772461, 0.03466342544555664, 0.03465846252441406]",tokens/s,7382.173251351798,kWh,1.074472192585785e-06,1.1849412997031472e-07,7.095839009999977e-07,1.9025502235560972e-06,tokens/kWh,134556237.63850236,MB,1475.260416,1474.166784,0.0,1056.964608,979.264,s,10,13.963991210937499,1.39639912109375,0.00638702064411931,1.3962006225585937,1.4059607421875,1.4069640136718748,1.407766630859375,"[1.40796728515625, 1.3882437744140625, 1.387829345703125, 1.3928572998046875, 1.39798193359375, 1.391772705078125, 1.3950648193359374, 1.3991998291015626, 1.39733642578125, 1.40573779296875]",tokens/s,45.116041000265255,kWh,4.095779170283147e-05,4.517250723638457e-06,1.6827624573199993e-05,6.23026669996699e-05,tokens/kWh,1011192.6669260208,,s,630,13.961331571578983,0.022160843764411083,0.00027131999943118696,0.022116352081298828,0.02241216278076172,0.02257004632949829,0.02335178361892701,"[0.02265999984741211, 0.022281984329223632, 0.022362112045288086, 0.02246451187133789, 0.022576383590698242, 0.022210847854614257, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpfwovd2cl/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
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0.02303971290588379, 0.02403046417236328, 0.020951808929443358, 0.020850528717041017, 0.02155683135986328, 0.021283039093017576, 0.021032831192016602, 0.02097404861450195, 0.02090768051147461, 0.02134169578552246, 0.02142883110046387, 0.021194496154785157, 0.021151744842529296, 0.02111065673828125, 0.02119161605834961, 0.020890432357788084, 0.020982719421386718, 0.02103091239929199, 0.021017728805541994, 0.02099446487426758, 0.02091788864135742, 0.020849119186401366, 0.022308704376220703, 0.021025279998779296, 0.02102889633178711, 0.021114368438720704, 0.021031423568725584, 0.02108982467651367, 0.021074399948120118, 0.02112512016296387, 0.021334016799926758, 0.02127462387084961, 0.021288223266601562, 0.02143449592590332, 0.021305952072143555, 0.0210565128326416, 0.021398752212524415, 0.021155616760253907, 0.021315584182739256, 0.021390655517578124, 0.02118239974975586, 0.021035776138305665, 0.021225568771362304, 0.020971424102783204, 0.02104934310913086, 0.020944160461425783, 0.02098863983154297, 0.02097724723815918, 0.02099446487426758, 0.02100223922729492, 0.020956319808959963, 0.021227968215942382, 0.02116649627685547, 0.021175647735595705, 0.021314207077026366, 0.021028863906860353, 0.02101036834716797, 0.021370176315307618, 0.021059328079223633, 0.021021696090698243, 0.021124351501464845, 0.021168895721435547, 0.021278175354003906, 0.02110256004333496, 0.021528736114501953, 0.02121494483947754, 0.021179071426391603, 0.02123904037475586, 0.021012863159179686, 0.021401983261108398, 0.02107187271118164, 0.021168127059936523]",tokens/s,47.26648736854203,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1688, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: BloomForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp72dcfv7k/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,bloom,bigscience/bloomz-560m,bigscience/bloomz-560m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: BloomForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4928.659456,7235.043328,0.0,6849.298432,6445.09696,s,1,11.387568359375,11.387568359375,0.0,11.387568359375,11.387568359375,11.387568359375,11.387568359375,[11.387568359375],,kWh,0.00012017866807918835,1.324901310198794e-05,4.040864343801687e-05,0.00017383632461919315,,MB,2814.431232,7587.364864,0.0,7172.25984,6823.3216,s,10,3.746279113769531,0.3746279113769531,0.0022526261216574742,0.3748661804199219,0.3766276489257812,0.3768137023925781,0.37696254516601563,"[0.3688858642578125, 0.37485842895507815, 0.37487393188476564, 0.37255511474609376, 0.3765863037109375, 0.37595068359375, 0.3748364562988281, 0.37607952880859374, 0.37465304565429686, 0.376999755859375]",tokens/s,683.3447061086996,kWh,1.1013471898764063e-05,1.2145244708521853e-06,7.320633428517417e-06,1.9548629798133665e-05,tokens/kWh,13095546.984292509,MB,2818.60096,7591.559168,0.0,7174.356992,6823.32416,s,10,23.458792724609374,2.345879272460937,0.003864573791480087,2.34478369140625,2.3513216064453126,2.3523865112304687,2.3532384350585938,"[2.348079833984375, 2.34691162109375, 2.339985595703125, 2.345116455078125, 2.344450927734375, 2.343015625, 2.343910888671875, 2.342785400390625, 2.353451416015625, 2.3510849609375]",tokens/s,26.85560196536033,kWh,6.818470084374108e-05,7.520745404262604e-06,4.527088086688512e-05,0.00012097632711488882,tokens/kWh,520763.04102182033,,s,630,23.45631365585327,0.0372322438981798,0.0005255021219551778,0.0371220645904541,0.03760292930603027,0.03791191959381104,0.03941275997161865,"[0.03835084915161133, 0.03713452911376953, 0.03699248123168945, 0.03702614212036133, 0.03688819122314453, 0.037150177001953125, 0.03684569549560547, 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3152.740352,4376.625152,0.0,3990.880256,3908.719616,s,1,10.2110595703125,10.2110595703125,0.0,10.2110595703125,10.2110595703125,10.2110595703125,10.2110595703125,[10.2110595703125],,kWh,9.043820330416565e-05,9.968596250208437e-06,3.0304190909991036e-05,0.00013071099046436512,,MB,3171.139584,4733.140992,0.0,4318.035968,4274.557952,s,10,2.202844192504883,0.22028441925048825,0.0022714960509002823,0.21978108978271485,0.22317620849609374,0.2232936248779297,0.22338755798339843,"[0.2177252197265625, 0.2229659881591797, 0.21902688598632813, 0.22152531433105468, 0.21901795959472656, 0.21670278930664064, 0.22053529357910157, 0.22341104125976563, 0.22315011596679687, 0.21878358459472655]",tokens/s,1162.1339397086415,kWh,6.745642624716972e-06,7.439233036910739e-07,4.4587030619080474e-06,1.1948268990316093e-05,tokens/kWh,21425697.74814113,MB,3175.317504,4735.238144,0.0,4320.13312,4274.560512,s,10,31.346081054687502,3.1346081054687502,0.006965655819228732,3.1348283691406253,3.1435971679687498,3.1444771728515626,3.1451811767578124,"[3.126269775390625, 3.145357177734375, 3.134798828125, 3.127242919921875, 3.143401611328125, 3.12987451171875, 3.14272265625, 3.125734619140625, 3.13485791015625, 3.135821044921875]",tokens/s,20.098206180890024,kWh,9.133203610986031e-05,1.0074056613719308e-05,4.8045755608291436e-05,0.00014945184833187105,tokens/kWh,421540.45402036735,,s,630,31.343413505554196,0.049751450008816187,0.0005529966225793758,0.04964680099487305,0.05027058753967285,0.050800572395324706,0.05215154853820801,"[0.05089465713500976, 0.05002214431762695, 0.04979097747802735, 0.049619873046875, 0.04948787307739258, 0.051863552093505856, 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0.0348851203918457, 0.03482787322998047, 0.034878047943115234, 0.03483270263671875, 0.03495280075073242, 0.03491836929321289, 0.034963134765625, 0.03502771377563477, 0.03479347229003906, 0.034790782928466796, 0.034761344909667966, 0.03472588729858399]",tokens/s,28.552958458030258,,,
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 205, in run_text_generation_memory_tracking
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 454, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 669, in forward
    hidden_states = self.mlp(hidden_states)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 223, in forward
    return self.down_proj(self.act_fn(self.gate_proj(hidden_state)) * self.up_proj(hidden_state))
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.


"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1210.740736,1155.39968,0.0,752.877568,710.554112,s,1,8.626697265625,8.626697265625,0.0,8.626697265625,8.626697265625,8.626697265625,8.626697265625,[8.626697265625],,kWh,4.44533166291573e-05,4.896336711864717e-06,1.509973430197098e-05,6.444938764299299e-05,,MB,1532.370944,1436.418048,0.0,1019.215872,949.099008,s,10,0.30884288215637207,0.030884288215637205,0.00023080657791462068,0.030854736328125,0.031202070236206053,0.03123500347137451,0.03126135005950927,"[0.031267936706542966, 0.03057459259033203, 0.030926464080810546, 0.03108937644958496, 0.030783008575439454, 0.030970399856567382, 0.030622528076171874, 0.030718656539916993, 0.031194751739501952, 0.030695167541503907]",tokens/s,8289.004370525954,kWh,9.047780937307215e-07,9.975897402839035e-08,5.810100967306553e-07,1.585547164489767e-06,tokens/kWh,161458457.83299762,MB,1567.248384,1444.806656,0.0,1027.60448,949.101568,s,10,15.265451782226565,1.5265451782226562,0.00326762247936747,1.5260553588867187,1.53120849609375,1.5318847045898438,1.5324256713867188,"[1.5258612060546874, 1.52718994140625, 1.5325609130859374, 1.5310582275390625, 1.5226080322265625, 1.52624951171875, 1.521906005859375, 1.524331298828125, 1.524953369140625, 1.5287332763671875]",tokens/s,41.269659685637585,kWh,4.477051119585006e-05,4.937821085826458e-06,1.8167254901866396e-05,6.78755871835429e-05,tokens/kWh,928168.7660342623,,s,630,15.2632564239502,0.024227391149127295,0.000534041988179136,0.024107423782348633,0.024447324752807618,0.024762432384490968,0.027310944194793716,"[0.024268415451049803, 0.024197023391723634, 0.024246271133422852, 0.024159967422485353, 0.024252096176147462, 0.02411795234680176, 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0.02405580711364746, 0.024299360275268553, 0.024173376083374023, 0.024700927734375, 0.024821760177612305, 0.02503011131286621, 0.02436764717102051, 0.02425881576538086, 0.024284927368164063, 0.024309120178222655, 0.024033920288085937, 0.024059551239013672, 0.024092639923095703, 0.024185216903686524, 0.024090112686157225, 0.024054271697998047, 0.02413363265991211, 0.02411929512023926, 0.024053504943847656, 0.0241474552154541, 0.024060672760009765, 0.02524675178527832, 0.024099807739257812, 0.02410905647277832, 0.02740838432312012, 0.024451072692871095]",tokens/s,41.27559562004353,,,
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1865.863168,2726.166528,0.0,2340.421632,2285.568,s,1,8.95863671875,8.95863671875,0.0,8.95863671875,8.95863671875,8.95863671875,8.95863671875,[8.95863671875],,kWh,5.4441351795821894e-05,5.991595866205535e-06,1.7412236151981286e-05,7.784518381400872e-05,,MB,1833.984,3095.26528,0.0,2680.160256,2578.857984,s,10,0.8459479370117187,0.08459479370117187,0.0003994235559614204,0.08466056060791016,0.08489867477416992,0.08519668235778809,0.08543508842468261,"[0.08470025634765625, 0.08411074829101563, 0.0847149429321289, 0.08549468994140624, 0.08410809326171875, 0.08415248107910156, 0.08474041748046875, 0.08483245086669922, 0.08462086486816406, 0.08447299194335937]",tokens/s,3026.190960454505,kWh,2.6323176378756615e-06,2.9024337125104117e-07,1.743790183819774e-06,4.666351192946477e-06,tokens/kWh,54860851.53362702,MB,1840.04608,3097.362432,0.0,2680.160256,2578.860544,s,10,16.557476318359374,1.6557476318359374,0.005427582160871653,1.655234619140625,1.6626841308593752,1.6643317504882813,1.6656498461914062,"[1.6519024658203125, 1.6623179931640626, 1.6555, 1.652006103515625, 1.6589691162109375, 1.65496923828125, 1.6584176025390625, 1.649270751953125, 1.6659793701171874, 1.6481436767578126]",tokens/s,38.04927682737731,kWh,4.8186328150872377e-05,5.314698049954419e-06,2.4817231064980114e-05,7.83182572658069e-05,tokens/kWh,804410.1362748948,,s,630,16.555322980880746,0.026278290445842442,0.00042770129779658384,0.026185791969299314,0.02656294746398926,0.026774630928039552,0.0276405739402771,"[0.0265849609375, 0.026529792785644532, 0.02629136085510254, 0.026248031616210938, 0.02614681625366211, 0.026086784362792968, 0.025939647674560546, 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1331.367936,1134.42816,0.0,731.906048,703.86944,s,1,8.34591015625,8.34591015625,0.0,8.34591015625,8.34591015625,8.34591015625,8.34591015625,[8.34591015625],,kWh,3.410296163748777e-05,3.753918991818293e-06,1.0808619758051474e-05,4.8665500387357535e-05,,MB,1477.71392,1415.446528,0.0,998.244352,942.610432,s,10,1.6521077880859376,0.16521077880859375,0.0007510284553228716,0.16499352264404296,0.16594110412597654,0.1665691925048828,0.16707166320800781,"[0.16719728088378907, 0.16580152893066405, 0.16450851440429687, 0.16465219116210938, 0.16478323364257813, 0.16524861145019532, 0.16517181396484376, 0.16482841491699218, 0.16515863037109374, 0.164757568359375]",tokens/s,1549.5357012788543,kWh,5.05672035488537e-06,5.576610946945561e-07,3.3677325792408535e-06,8.982114028820779e-06,tokens/kWh,28501085.51044626,MB,1510.199296,1423.835136,0.0,1006.63296,942.612992,s,10,15.313814819335937,1.5313814819335936,0.005852185732180266,1.5312710571289063,1.5377463256835937,1.538392266845703,1.5389090197753905,"[1.5390382080078124, 1.5278355712890626, 1.5297022705078125, 1.53283984375, 1.537602783203125, 1.518294921875, 1.5279208984375, 1.534456298828125, 1.53688916015625, 1.52923486328125]",tokens/s,41.139324683783734,kWh,4.432688304886471e-05,4.888981180723432e-06,1.8691646179363453e-05,6.79075104089516e-05,tokens/kWh,927732.435199028,,s,630,15.311605516433715,0.024304135740370977,0.0005291514347000965,0.024207215309143066,0.024602852058410646,0.024841420650482178,0.02645584592819216,"[0.025204736709594725, 0.024545248031616212, 0.024323488235473634, 0.024287647247314453, 0.024445152282714842, 0.0245166072845459, 0.024442623138427735, 0.024414751052856447, 0.024344287872314452, 0.02427289581298828, 0.024370208740234375, 0.024079328536987306, 0.024145120620727538, 0.024062175750732422, 0.024205759048461915, 0.024211584091186525, 0.02421881675720215, 0.025193183898925782, 0.024469375610351562, 0.024311264038085936, 0.024119712829589843, 0.024159967422485353, 0.02412710380554199, 0.024060640335083008, 0.02422310447692871, 0.024062240600585937, 0.02418662452697754, 0.02411199951171875, 0.02877644729614258, 0.024669439315795898, 0.024496896743774414, 0.024819711685180663, 0.024774656295776368, 0.024602624893188478, 0.02512076759338379, 0.024634464263916016, 0.024548255920410156, 0.02467020797729492, 0.024629247665405272, 0.024465408325195313, 0.02422083282470703, 0.02442483139038086, 0.024147743225097655, 0.02419980812072754, 0.024367168426513673, 0.02492572784423828, 0.02427356719970703, 0.024248128890991212, 0.024260608673095704, 0.024250240325927735, 0.024440576553344726, 0.024158592224121093, 0.024237695693969726, 0.024229280471801756, 0.024300512313842774, 0.02421455955505371, 0.0242259521484375, 0.02407097625732422, 0.02435251235961914, 0.024010463714599608, 0.023966239929199218, 0.02396953582763672, 0.024000448226928713, 0.024634143829345704, 0.024178367614746094, 0.02410323143005371, 0.02420025634765625, 0.024503007888793945, 0.0245413761138916, 0.024363040924072266, 0.024192768096923827, 0.024256767272949217, 0.024018943786621092, 0.024002559661865236, 0.024012800216674804, 0.024252416610717774, 0.024016895294189454, 0.02399465560913086, 0.024012319564819334, 0.024147808074951174, 0.02388412857055664, 0.024216896057128907, 0.024883295059204103, 0.02428892707824707, 0.024538047790527345, 0.025578527450561522, 0.026631135940551758, 0.024217599868774413, 0.02408038330078125, 0.024007999420166015, 0.024046272277832032, 0.02405276870727539, 0.024604896545410156, 0.02406595230102539, 0.024015296936035158, 0.02417705535888672, 0.024101119995117187, 0.026926464080810546, 0.024357248306274414, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
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1.57802880859375]",tokens/s,162.35203597999168,kWh,4.633989734207716e-05,5.110901781347052e-06,3.0869663584598416e-05,8.232046270802262e-05,tokens/kWh,3109797.8750191266,MB,3137.429504,4785.569792,0.0,4368.367616,4273.053184,s,10,25.683661621093748,2.568366162109375,0.004679090130973488,2.568155517578125,2.5733216064453126,2.5745589965820312,2.575548908691406,"[2.563158447265625, 2.559123046875, 2.5714609375, 2.566359619140625, 2.573046630859375, 2.57184423828125, 2.57579638671875, 2.568488037109375, 2.567822998046875, 2.566561279296875]",tokens/s,24.529212745996738,kWh,7.480770692501059e-05,8.25173907195384e-06,4.224625601920163e-05,0.00012530570201616604,tokens/kWh,502770.4165599119,,s,630,25.68108683013914,0.040763629889109775,0.00047292185199668724,0.040662319183349616,0.04120796318054199,0.04167188587188721,0.04255219890594483,"[0.042176513671875, 0.04080640029907227, 0.04116646575927734, 0.04079859161376953, 0.04071343994140625, 0.04043254470825195, 0.040556415557861325, 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0.04068822479248047, 0.041124000549316406, 0.04113843154907226, 0.0408853759765625, 0.04074355316162109, 0.04054643249511719, 0.04054127883911133, 0.0404918098449707, 0.040387840270996095, 0.040661758422851565, 0.04031283187866211, 0.04052787017822266, 0.040279201507568356]",tokens/s,24.53167204982291,,,
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3153.186816,4376.625152,0.0,3990.880256,3908.719616,s,1,10.2372119140625,10.2372119140625,0.0,10.2372119140625,10.2372119140625,10.2372119140625,10.2372119140625,[10.2372119140625],,kWh,9.091607653334299e-05,1.0019087014122748e-05,2.964141260197728e-05,0.00013057657614944302,,MB,3065.99936,4743.626752,0.0,4328.521728,4275.213312,s,10,2.243329360961914,0.22433293609619137,0.0014378268360940765,0.22415650939941406,0.22603587341308592,0.22639389038085939,0.22668030395507813,"[0.22443055725097658, 0.22492767333984376, 0.22357107543945312, 0.22388246154785157, 0.22556822204589844, 0.22675190734863282, 0.22161036682128907, 0.22595631408691405, 0.22343983459472655, 0.22319094848632812]",tokens/s,1141.1610103040339,kWh,6.852605858622445e-06,7.553867416442688e-07,4.5524648822787114e-06,1.2160457482545424e-05,tokens/kWh,21051839.56832635,MB,3029.95456,4747.821056,0.0,4330.61888,4275.215872,s,10,35.172543701171875,3.5172543701171874,0.005971763050511207,3.5173519287109376,3.5233646484374996,3.5259141357421875,3.5279537255859372,"[3.52194287109375, 3.5156611328125, 3.518225830078125, 3.51095361328125, 3.528463623046875, 3.51647802734375, 3.522798095703125, 3.51863330078125, 3.512713623046875, 3.506673583984375]",tokens/s,17.91169854965621,kWh,0.0001022644499455452,1.12803212669906e-05,5.172891347611837e-05,0.00016527368468865418,tokens/kWh,381185.9106226175,,s,630,35.16990844345094,0.05582525149754115,0.0008110078055314288,0.055678640365600586,0.05642263603210449,0.05687311611175537,0.059193163871765146,"[0.05974390411376953, 0.05723910522460938, 0.056100959777832034, 0.05578601455688476, 0.0553535041809082, 0.05552230453491211, 0.05552025604248047, 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0.021889503479003907, 0.020979583740234373, 0.021022783279418946, 0.021130624771118163, 0.021092607498168946, 0.021055904388427735, 0.02108624076843262, 0.021024927139282227, 0.021034368515014647, 0.021224063873291017, 0.02133171272277832, 0.021299455642700197, 0.021774335861206053, 0.021511552810668945, 0.021736064910888673, 0.021472415924072265, 0.021308000564575196, 0.02116223907470703, 0.021155263900756834, 0.021099071502685546, 0.021071680068969728, 0.02113759994506836, 0.02115702438354492, 0.02115056037902832]",tokens/s,47.15516698315991,,,
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-14B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-14B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3150.462976,4609.409024,0.0,4206.886912,4087.771648,s,1,10.89753515625,10.89753515625,0.0,10.89753515625,10.89753515625,10.89753515625,10.89753515625,[10.89753515625],,kWh,0.00011180697590416456,1.232585722129387e-05,4.4740869125980964e-05,0.0001688737022514394,,MB,3062.53824,4781.375488,0.0,4366.270464,4273.705984,s,10,15.807746826171874,1.5807746826171873,0.002567712822704467,1.5817668457031249,1.583661047363281,1.5840226623535156,1.5843119543457032,"[1.578341796875, 1.5770452880859376, 1.5769969482421875, 1.5817965087890624, 1.5820274658203124, 1.57900146484375, 1.582835205078125, 1.5817371826171875, 1.58438427734375, 1.5835806884765624]",tokens/s,161.9459134910721,kWh,4.640980510250605e-05,5.1186092058712545e-06,3.0822330213392536e-05,8.235074452176983e-05,tokens/kWh,3108654.347773688,MB,3062.53824,4785.569792,0.0,4368.367616,4274.363904,s,10,21.6495146484375,2.16495146484375,0.0037370531858053886,2.1656229248046874,2.1685774169921874,2.169800305175781,2.1707786157226563,"[2.16600390625, 2.167261474609375, 2.15921240234375, 2.158968505859375, 2.165241943359375, 2.167683349609375, 2.162429443359375, 2.1683056640625, 2.163384765625, 2.171023193359375]",tokens/s,29.099959524749377,kWh,6.336359664541002e-05,6.989397905122009e-06,3.844733631340746e-05,0.0001088003308639395,tokens/kWh,579042.3567625432,,s,630,21.646964221954345,0.034360260669768806,0.0005983946089104575,0.0342273120880127,0.03476741485595703,0.03505083293914795,0.03704894676208498,"[0.035530750274658206, 0.034418689727783204, 0.0343711051940918, 0.03432291030883789, 0.03429561614990234, 0.03418745422363281, 0.03413782501220703, 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0.03431414413452148, 0.03410726547241211, 0.03430585479736328, 0.034087646484375, 0.034364768981933594, 0.03439888000488281, 0.03443260955810547, 0.034208030700683595, 0.03459699249267578, 0.03430998229980469, 0.0347825927734375, 0.03462793731689453]",tokens/s,29.10338805665203,,,
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4937.25696,7235.043328,0.0,6849.298432,6445.09696,s,1,11.2100234375,11.2100234375,0.0,11.2100234375,11.2100234375,11.2100234375,11.2100234375,[11.2100234375],,kWh,0.00012108658461667496,1.3349423271267949e-05,4.042031011397551e-05,0.00017485631800191843,,MB,2659.356672,7566.393344,0.0,7151.28832,6823.3216,s,10,3.703178985595703,0.3703178985595703,0.0026546763290434205,0.3711983947753906,0.37277139892578126,0.37287703247070314,0.37296153930664067,"[0.3652895812988281, 0.36940750122070315, 0.3660270080566406, 0.3726346130371094, 0.3727479248046875, 0.3693802185058594, 0.3723126831054687, 0.3719620666503906, 0.372982666015625, 0.37043472290039064]",tokens/s,691.2979388675677,kWh,1.0799964082290594e-05,1.1906943176905653e-06,7.191384721357592e-06,1.9182043121338752e-05,tokens/kWh,13345815.061546648,MB,2663.600128,7568.490496,0.0,7153.385472,6823.32416,s,10,20.426462890625,2.0426462890624997,0.0030563307409211277,2.043179504394531,2.046071044921875,2.046303405761719,2.0464892944335937,"[2.0439560546875, 2.0432205810546873, 2.040147705078125, 2.0465357666015627, 2.0416890869140625, 2.0397025146484373, 2.043138427734375, 2.0460194091796877, 2.04569287109375, 2.0363604736328127]",tokens/s,30.842344236169595,kWh,5.968329299562054e-05,6.583372460711386e-06,3.9552958229647455e-05,0.00010581962368597937,tokens/kWh,595352.7125266768,,s,630,20.423789991378793,0.03241871427202982,0.0008299688275865184,0.03222220802307129,0.03284797554016113,0.033239012718200685,0.037410181999206545,"[0.03800937652587891, 0.033050624847412106, 0.03267379379272461, 0.032096446990966795, 0.03188019180297851, 0.03196601676940918, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-72B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-72B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1331.945472,1092.48512,0.0,706.740224,675.13344,s,1,8.1287431640625,8.1287431640625,0.0,8.1287431640625,8.1287431640625,8.1287431640625,8.1287431640625,[8.1287431640625],,kWh,2.9535046391674767e-05,3.250388077441792e-06,9.600563236011883e-06,4.238599770512844e-05,,MB,1420.4928,1411.252224,0.0,996.1472,942.733312,s,10,0.3207475833892822,0.03207475833892822,0.00023249906206809033,0.03203071975708008,0.03232933044433594,0.032491704940795896,0.032621604537963866,"[0.03265407943725586, 0.03186550331115723, 0.03192255973815918, 0.032062496185302734, 0.03229324722290039, 0.03214118576049805, 0.031892959594726565, 0.03202444839477539, 0.03203699111938477, 0.03185411262512207]",tokens/s,7981.353976073457,kWh,1.0212356150932973e-06,1.1262463496125873e-07,6.767857007132689e-07,1.810645950767825e-06,tokens/kWh,141386006.40917143,MB,1440.632832,1421.737984,0.0,1006.63296,942.735872,s,10,13.875849975585938,1.3875849975585939,0.007198524546992218,1.3858881225585937,1.394866455078125,1.399564208984375,1.403322412109375,"[1.404261962890625, 1.393822509765625, 1.3882218017578125, 1.382159423828125, 1.383324462890625, 1.385825927734375, 1.3852431640625, 1.390898193359375, 1.3859503173828125, 1.3761422119140625]",tokens/s,45.4026240632799,kWh,4.019836533074275e-05,4.433480637229138e-06,1.7267867543887104e-05,6.1899713511859e-05,tokens/kWh,1017775.3082480779,,s,630,13.873712373733518,0.022021765672592893,0.0005707776975805041,0.02191190433502197,0.02225023403167725,0.022451014804840085,0.024288163604736342,"[0.022362112045288086, 0.021936223983764647, 0.021893056869506836, 0.022456287384033203, 0.023775199890136718, 0.023126047134399415, 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4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-72B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-72B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,3157.573632,4647.15776,0.0,4244.635648,4125.520384,s,1,11.78355859375,11.78355859375,0.0,11.78355859375,11.78355859375,11.78355859375,11.78355859375,[11.78355859375],,kWh,0.0001354689418250473,1.4935865922706532e-05,5.164170797994361e-05,0.00020204651572769747,,MB,3073.3312,4821.221376,0.0,4404.0192,4310.79936,s,10,1.2193675994873048,0.12193675994873047,0.00030546697858979026,0.12188681793212891,0.12226797103881835,0.12241657829284668,0.12253546409606933,"[0.122565185546875, 0.12152102661132813, 0.12184233856201172, 0.12223494720458984, 0.12200390625, 0.121795166015625, 0.12160995483398437, 0.12167104339599609, 0.1219312973022461, 0.12219273376464844]",tokens/s,2099.4489283431653,kWh,3.6435033613679665e-06,4.0177724781832457e-07,2.4161850605193187e-06,6.4614656697056095e-06,tokens/kWh,39619493.94860185,MB,2985.582592,4823.318528,0.0,4406.116352,4310.80192,s,10,26.013256835937497,2.6013256835937497,0.004201725343135385,2.600520751953125,2.6053,2.60841220703125,2.61090197265625,"[2.6046083984375, 2.6115244140625, 2.597696044921875, 2.59693994140625, 2.59749853515625, 2.5991796875, 2.602465576171875, 2.602718994140625, 2.598763427734375, 2.60186181640625]",tokens/s,24.21842078342342,kWh,7.596234215654931e-05,8.378617727839146e-06,3.815690295347608e-05,0.00012249786283786453,tokens/kWh,514294.68678474345,,s,630,26.010558868408197,0.04128660137842572,0.0006735118827594471,0.041149360656738285,0.04163237457275391,0.041952564430236816,0.04457093757629395,"[0.041594879150390625, 0.04117686462402344, 0.041350399017333984, 0.04103881454467773, 0.041027584075927735, 0.04088195037841797, 0.040889854431152346, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1332.473856,1092.48512,0.0,706.740224,675.13344,s,1,8.1371455078125,8.1371455078125,0.0,8.1371455078125,8.1371455078125,8.1371455078125,8.1371455078125,[8.1371455078125],,kWh,2.9714326570774573e-05,3.2704560529400483e-06,9.588063225984822e-06,4.2572845849699444e-05,,MB,1467.031552,1411.252224,0.0,996.1472,942.733312,s,10,0.34609778976440425,0.03460977897644042,0.00032589257249064467,0.034487936019897455,0.034802233505249025,0.03516105213165283,0.03544810703277588,"[0.03551987075805664, 0.0345047378540039, 0.034662784576416014, 0.03441708755493164, 0.034471134185791015, 0.03472249603271484, 0.03436297607421875, 0.03439759826660156, 0.034639297485351564, 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4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4932.005888,7235.043328,0.0,6849.298432,6444.4416,s,1,11.2029736328125,11.2029736328125,0.0,11.2029736328125,11.2029736328125,11.2029736328125,11.2029736328125,[11.2029736328125],,kWh,0.0001200147982833793,1.3231355321371067e-05,3.949642048606261e-05,0.00017274257409081295,,MB,2817.835008,7587.364864,0.0,7172.25984,6822.66624,s,10,4.239782989501954,0.42397829895019534,0.006894182894289971,0.42635455322265625,0.42847293701171874,0.42895265502929686,0.42933642944335937,"[0.40464434814453126, 0.42081451416015625, 0.4279268798828125, 0.4277457580566406, 0.4232462158203125, 0.42646771240234377, 0.4248974609375, 0.42624139404296874, 0.4283663330078125, 0.429432373046875]",tokens/s,603.8044886586808,kWh,1.216049697065892e-05,1.3410824297559389e-06,8.067274972330118e-06,2.1568854372744977e-05,tokens/kWh,11868966.036670402,MB,2821.996544,7591.559168,0.0,7174.356992,6822.6688,s,10,29.656539306640624,2.9656539306640624,0.006324704514309121,2.9654089355468747,2.9716916259765624,2.9748336059570315,2.9773471899414066,"[2.970993408203125, 2.9779755859375, 2.958189697265625, 2.969535400390625, 2.970981689453125, 2.958642333984375, 2.96505224609375, 2.95945263671875, 2.95995068359375, 2.965765625]",tokens/s,21.243206885536097,kWh,8.690473866934011e-05,9.585829167885213e-06,5.745736078067026e-05,0.00015394792861789556,tokens/kWh,409229.2800922858,,s,630,29.65389392852786,0.04706967290242513,0.0005883383677196449,0.046964672088623045,0.047423367309570315,0.04790367488861084,0.05023746257781983,"[0.04883459091186523, 0.047251903533935546, 0.047286079406738284, 0.047322689056396486, 0.04724371337890625, 0.04704230499267578, 0.04696460723876953, 0.046975360870361325, 0.0467918701171875, 0.047100383758544924, 0.04691798400878906, 0.04688019180297852, 0.04696707153320313, 0.04716921615600586, 0.047051361083984375, 0.0468785285949707, 0.04682566452026367, 0.04690486526489258, 0.046846431732177736, 0.04688281631469727, 0.04665091323852539, 0.046583518981933594, 0.0472270393371582, 0.047343902587890625, 0.04703420639038086, 0.04775369644165039, 0.04713676834106445, 0.047429889678955076, 0.04732083129882812, 0.0471912956237793, 0.04764080047607422, 0.05028659057617187, 0.047513214111328125, 0.04750428771972656, 0.04715315246582031, 0.04716134262084961, 0.04709081649780274, 0.047089729309082035, 0.04695273590087891, 0.046940414428710935, 0.046763648986816404, 0.0467503662109375, 0.04713843154907227, 0.04758975982666016, 0.04696831893920898, 0.04689561462402344, 0.04721459197998047, 0.04706304168701172, 0.047000640869140624, 0.04688483047485351, 0.04665852737426758, 0.04696659088134766, 0.04678879928588867, 0.046935550689697264, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemm-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-72B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-72B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4928.958464,7914.520576,0.0,7511.998464,6895.682048,s,1,12.6634599609375,12.6634599609375,0.0,12.6634599609375,12.6634599609375,12.6634599609375,12.6634599609375,[12.6634599609375],,kWh,0.00016121911061673017,1.7776517021757323e-05,6.666616444400697e-05,0.0002456617920824945,,MB,2726.592512,7931.297792,0.0,7514.095616,6822.141952,s,10,31.472917724609374,3.1472917724609375,0.003366596834724183,3.1480302734374996,3.1509873046875003,3.1513037109375,3.1515568359375,"[3.1400791015625, 3.1435078125, 3.145054931640625, 3.148227783203125, 3.14719140625, 3.147832763671875, 3.148430419921875, 3.1509169921875, 3.150056396484375, 3.1516201171875]",tokens/s,81.3397735284733,kWh,9.188008231208339e-05,1.0132780933891034e-05,6.097638211439715e-05,0.00016298924536037158,tokens/kWh,1570655.7781403325,MB,2730.76224,7933.394944,0.0,7516.192768,6822.144512,s,10,22.02518432617188,2.2025184326171874,0.004376447002694141,2.2021079101562497,2.2067664794921873,2.2092861938476562,2.2113019653320314,"[2.2046806640625, 2.200498779296875, 2.201718505859375, 2.199762451171875, 2.202800048828125, 2.201237548828125, 2.20620654296875, 2.1939765625, 2.211805908203125, 2.202497314453125]",tokens/s,28.60361986852431,kWh,6.443390710166567e-05,7.109094301964457e-06,4.2958034366408215e-05,0.0001145010357700383,tokens/kWh,550213.3633666686,,s,630,22.022617275238016,0.0349565353575207,0.00047840738005004686,0.034843774795532224,0.035331481552124025,0.035633221054077145,0.036680678405761724,"[0.035985408782958986, 0.034977790832519534, 0.035471359252929685, 0.03536896133422852, 0.03473123168945313, 0.03473683166503906, 0.03466559982299805, 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4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1873.276928,2868.772864,0.0,2466.250752,2401.696256,s,1,9.4162490234375,9.4162490234375,0.0,9.4162490234375,9.4162490234375,9.4162490234375,9.4162490234375,[9.4162490234375],,kWh,6.37608176333136e-05,7.0157127547170014e-06,2.3509463251969454e-05,9.428599364000006e-05,,MB,1736.4992,3097.362432,0.0,2680.160256,2582.175744,s,10,5.979624511718749,0.597962451171875,0.001965094992385114,0.5974742736816406,0.59926318359375,0.601207763671875,0.6027634277343751,"[0.60315234375, 0.5960966796875, 0.5971708984375, 0.5978729858398437, 0.5971138916015625, 0.5977776489257812, 0.59714892578125, 0.595760009765625, 0.5988310546875, 0.5987000732421875]",tokens/s,428.12052746505447,kWh,1.78251366845603e-05,1.9657964771226416e-06,1.1811022520706348e-05,3.160195568238929e-05,tokens/kWh,8100764.477138364,MB,1740.726272,3097.362432,0.0,2680.160256,2582.178304,s,10,15.8285029296875,1.5828502929687498,0.004267978351672285,1.5823958740234376,1.5883071655273437,1.5897179748535155,1.590846622314453,"[1.5854661865234374, 1.5820706787109375, 1.5827210693359375, 1.58799365234375, 1.5834609375, 1.5911287841796875, 1.5783160400390626, 1.5814571533203126, 1.580028564453125, 1.57585986328125]",tokens/s,39.80161628667924,kWh,4.601011039127364e-05,5.074990299936751e-06,2.3680755872691997e-05,7.476585656390239e-05,tokens/kWh,842630.6190467288,,s,630,15.826387191772465,0.025121249510749937,0.0004887902048017488,0.025012351989746093,0.025385139083862304,0.025788841438293453,0.027186098136901864,"[0.026068511962890624, 0.025132896423339844, 0.025063968658447264, 0.026560415267944337, 0.02613680076599121, 0.02512233543395996, 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4bit-awq-exllama-v2-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-14B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-14B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.1625938262939453]",tokens/s,1564.7218184353453,kWh,5.011777495904831e-06,5.525887407350414e-07,3.3431476839322225e-06,8.907513920572097e-06,tokens/kWh,28739781.07502728,MB,1460.719616,1423.835136,0.0,1006.63296,942.612992,s,10,12.867068847656249,1.286706884765625,0.006537605388276944,1.286470458984375,1.290857531738281,1.2968565612792968,1.3016557849121093,"[1.3028555908203125, 1.2794200439453125, 1.2859237060546875, 1.2891888427734375, 1.2780086669921875, 1.2895244140625, 1.283924072265625, 1.2881405029296875, 1.2870172119140626, 1.2830657958984375]",tokens/s,48.9622001295777,kWh,3.756512897701354e-05,4.1432230528568845e-06,1.633381250207251e-05,5.804216453194295e-05,tokens/kWh,1085417.8252661228,,s,630,12.864919296264643,0.020420506819467697,0.0005158661601812248,0.02032806396484375,0.0206540922164917,0.020869258785247802,0.021655140323638918,"[0.021448703765869142, 0.02096352005004883, 0.020688608169555665, 0.020700576782226563, 0.0205544319152832, 0.02051705551147461, 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0.03507814407348633, 0.03510681533813476, 0.0350063362121582, 0.03503116989135742, 0.035378273010253904, 0.0353985595703125, 0.03510063934326172, 0.03504742431640625, 0.035288864135742185, 0.035520767211914064, 0.03554828643798828, 0.035533695220947265, 0.03549174499511719]",tokens/s,28.289172771657363,,,
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 484, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 613, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 419, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 626, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-14B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-14B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 205, in run_text_generation_memory_tracking
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 454, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2024, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2982, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1104, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 915, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 655, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 335, in forward
    attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query_states.dtype)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py"", line 1890, in softmax
    ret = input.softmax(dim, dtype=dtype)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.


"
4bit-awq-gemm-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/common/benchmark_runner.py"", line 111, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 551, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 502, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 327, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 182, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4356.325376,5355.012096,0.0,4959.76448,4769.731072,s,1,11.4017490234375,11.4017490234375,0.0,11.4017490234375,11.4017490234375,11.4017490234375,11.4017490234375,[11.4017490234375],,kWh,0.00013048237477916112,1.438593316229139e-05,5.61742116059992e-05,0.0002010425195474517,,MB,1614.225408,5373.886464,0.0,4966.055936,4251.027456,s,10,30.64483813476562,3.0644838134765626,0.0036675148485847946,3.063621826171875,3.069316064453125,3.0702912109375,3.071071328125,"[3.0587421875, 3.061697021484375, 3.060749755859375, 3.063556396484375, 3.063182861328125, 3.063687255859375, 3.065486572265625, 3.067370361328125, 3.069099365234375, 3.071266357421875]",tokens/s,83.53772301690701,kWh,8.943002240083321e-05,9.863613228052827e-06,5.943954755160009e-05,0.00015873318318048612,tokens/kWh,1612769.2702345515,MB,1623.69536,5388.566528,0.0,4980.736,4251.030016,s,10,17.700633666992186,1.7700633666992185,0.011951188198258642,1.7681280517578126,1.7857709716796875,1.78604716796875,1.7862681249999999,"[1.7573978271484374, 1.7863233642578125, 1.7594388427734375, 1.769110595703125, 1.7671455078125, 1.7812459716796876, 1.78075, 1.7857095947265624, 1.7613912353515624, 1.7521207275390625]",tokens/s,35.591946133251284,kWh,5.177968356166691e-05,5.712164755921341e-06,3.399308274999995e-05,9.148493106758823e-05,tokens/kWh,688638.0004315266,,s,630,17.697427032470696,0.028091154019794774,0.00044194637218125394,0.028012063980102538,0.028631215286254882,0.028905468654632567,0.029727254791259778,"[0.02891379165649414, 0.02809449577331543, 0.02785273551940918, 0.027840736389160157, 0.027873056411743164, 0.028383264541625975, 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0.027931039810180663, 0.027853919982910157, 0.028773279190063478, 0.02780499267578125, 0.028055295944213868, 0.027765695571899413, 0.02790399932861328, 0.028033023834228517, 0.027856767654418944, 0.027827327728271484, 0.02893619155883789, 0.028039167404174805, 0.028060863494873047, 0.027712320327758787, 0.027669504165649415, 0.027613920211791994, 0.027615520477294923, 0.02752012825012207, 0.027776927947998048, 0.02780620765686035, 0.028094655990600587, 0.027680288314819335, 0.02775321578979492, 0.027572223663330078, 0.02772991943359375, 0.0276378231048584, 0.027629247665405275, 0.028608640670776366, 0.0277544002532959, 0.02771171188354492, 0.027745311737060546, 0.027654176712036134, 0.027795839309692382, 0.027605567932128906, 0.027891712188720705, 0.027557472229003906, 0.027641855239868163, 0.027713951110839845, 0.027770975112915038, 0.02774131202697754, 0.0277225284576416, 0.027547040939331056, 0.027664480209350587, 0.02821990394592285, 0.027889663696289063, 0.02773324775695801, 0.027615936279296874, 0.02763987159729004, 0.029056608200073244, 0.0278573112487793, 0.027719808578491212, 0.02780556869506836, 0.0284117431640625, 0.02786729621887207, 0.02778726387023926, 0.02810425567626953, 0.027940704345703126, 0.027720544815063478, 0.027725215911865234, 0.02790575981140137, 0.02770172882080078, 0.027637216567993166, 0.027591360092163085, 0.027842559814453126, 0.027639808654785155, 0.027661983489990234, 0.027859296798706055, 0.027723392486572265, 0.02768499183654785, 0.027684415817260742, 0.027714111328125, 0.027533439636230467, 0.027594207763671875]",tokens/s,35.59839511382615,,,
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpb54f2zm9/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 1174, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 894, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 507, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gptj/modeling_gptj.py"", line 436, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 115009 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmpd5b7wzyr/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 1043, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 806, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 513, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 463, in forward
    return self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neo/modeling_gpt_neo.py"", line 407, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 294659 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4088, in from_pretrained
    hf_quantizer.postprocess_model(model)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 195, in postprocess_model
    return self._process_model_after_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 107, in _process_model_after_weight_loading
    model = post_init_awq_exllama_modules(model, self.quantization_config.exllama_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 456, in post_init_awq_exllama_modules
    model = exllama_post_init(model)
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllama.py"", line 133, in exllama_post_init
    submodule.post_init()
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllama.py"", line 73, in post_init
    self.q4 = exl_ext.make_q4(
RuntimeError: scales and qweight have incompatible shapes

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.4b,EleutherAI/pythia-1.4b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 30641 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp5778qlk9/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: XGLMForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp870ld_h3/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmponlpp3k7/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1189, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 1000, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 729, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/llama/modeling_llama.py"", line 551, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,TencentARC/Mistral_Pro_8B_v0.1,TencentARC/Mistral_Pro_8B_v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 1039, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 816, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 551, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/mistral/modeling_mistral.py"", line 384, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-160m,EleutherAI/pythia-160m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-6.7b,EleutherAI/pythia-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-1.8B,Qwen/Qwen1.5-1.8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 522, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-70m,EleutherAI/pythia-70m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-2b,google/gemma-2b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 1069, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 881, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 604, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gemma/modeling_gemma.py"", line 479, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 226000 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 1012, in forward
    outputs = self.model.decoder(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 778, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 419, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/opt/modeling_opt.py"", line 343, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1572, in _autoset_attn_implementation
    cls._check_and_enable_flash_attn_2(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1682, in _check_and_enable_flash_attn_2
    raise ValueError(
ValueError: CodeGenForCausalLM does not support Flash Attention 2.0 yet. Please request to add support where the model is hosted, on its model hub page: https://huggingface.co//tmp/tmp57p77u1h/no_weights_model/discussions/new or in the Transformers GitHub repo: https://github.com/huggingface/transformers/issues/new

"
4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1178, in forward
    outputs = self.gpt_neox(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 1007, in forward
    outputs = layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 758, in forward
    attention_layer_outputs = self.attention(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt_neox/modeling_gpt_neox.py"", line 438, in forward
    attn_weights = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v1-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemm-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-exllama-v1-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,1,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-exllama-v2-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
4bit-awq-gemv-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/scenarios/inference/scenario.py"", line 200, in run_text_generation_memory_tracking
    _ = backend.prefill(self.inputs, prefill_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/backends/pytorch/backend.py"", line 450, in prefill
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1316, in forward
    transformer_outputs = self.transformer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 1130, in forward
    outputs = block(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 615, in forward
    attn_outputs = self.attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/gpt2/modeling_gpt2.py"", line 436, in forward
    attn_output = _flash_attention_forward(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_flash_attention_utils.py"", line 296, in _flash_attention_forward
    attn_output = flash_attn_func(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 880, in flash_attn_func
    return FlashAttnFunc.apply(
  File ""/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py"", line 574, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 546, in forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = _flash_attn_forward(
  File ""/usr/local/lib/python3.10/dist-packages/flash_attn/flash_attn_interface.py"", line 52, in _flash_attn_forward
    out, q, k, v, out_padded, softmax_lse, S_dmask, rng_state = flash_attn_cuda.fwd(
RuntimeError: FlashAttention only supports Ampere GPUs or newer.

"
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0.00786246395111084, 0.007834112167358399, 0.00785584020614624, 0.007844223976135253, 0.007874303817749024, 0.007915296077728272, 0.007866975784301757, 0.0078089280128479, 0.007856095790863037, 0.008140543937683105, 0.008014080047607421, 0.007815167903900147, 0.00785423994064331, 0.007806816101074219, 0.007768256187438965, 0.007781472206115723, 0.007729887962341309, 0.00786959981918335, 0.007815872192382813, 0.007895199775695801, 0.007870592117309571, 0.007870336055755616, 0.00787772798538208, 0.00811680030822754, 0.008073568344116211, 0.007833600044250488, 0.007804927825927735, 0.0077023677825927735, 0.007673823833465576, 0.007675648212432861, 0.0077216320037841795, 0.007764800071716309, 0.007676896095275879, 0.007671999931335449, 0.00774124813079834, 0.007667712211608887, 0.007956480026245117, 0.007888512134552002, 0.007913536071777343, 0.007897215843200684, 0.007887392044067383, 0.007881440162658692, 0.007932064056396484, 0.007930655956268311, 0.007895040035247802, 0.007979008197784423, 0.00796447992324829, 0.007917471885681152, 0.00797648000717163, 0.008012831687927246, 0.007820608139038086, 0.007678368091583252, 0.0077578239440917966, 0.00782863998413086, 0.007826272010803223, 0.007888895988464355, 0.007874783992767333, 0.008054559707641601]",tokens/s,127.37420918936128,,,
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3143.491584,4639.883264,0.0,4244.635648,4125.520384,s,1,11.9792587890625,11.9792587890625,0.0,11.9792587890625,11.9792587890625,11.9792587890625,11.9792587890625,[11.9792587890625],,kWh,0.00014281466581666488,1.574390353824077e-05,5.3873098654011464e-05,0.00021243166800891713,,MB,3187.0976,4813.94688,0.0,4404.0192,4310.797312,s,10,1.1434629516601562,0.11434629516601562,0.00016764718123132437,0.11430782318115235,0.1145461784362793,0.11459340934753418,0.11463119407653809,"[0.11464064025878906, 0.1145203857421875, 0.11453568267822266, 0.11433599853515625, 0.11418809509277343, 0.11411901092529297, 0.11417081451416015, 0.1144258270263672, 0.11427964782714843, 0.1142468490600586]",tokens/s,2238.8132438250145,kWh,3.4241915051362132e-06,3.7762772297003015e-07,2.2542459894419778e-06,6.056065217548221e-06,tokens/kWh,42271671.58936918,MB,3191.300096,4816.044032,0.0,4406.116352,4310.799872,s,10,22.40705126953125,2.2407051269531246,0.01225969367185595,2.2395146484375,2.2519275390624998,2.259535791015625,2.265622392578125,"[2.243108154296875, 2.26714404296875, 2.25023681640625, 2.238847412109375, 2.239515625, 2.22377685546875, 2.222224609375, 2.235335205078125, 2.247348876953125, 2.239513671875]",tokens/s,28.116149350569124,kWh,6.422840164111306e-05,7.084238282746035e-06,3.3550254876357245e-05,0.00010486289480021634,tokens/kWh,600784.4826335085,,s,630,22.40389617156981,0.03556173995487274,0.0011464844853278735,0.03544276809692383,0.03588814811706543,0.036251442718505854,0.03793366279602052,"[0.03651932907104492, 0.035850849151611325, 0.03918447875976563, 0.035675838470458986, 0.03560620880126953, 0.035442623138427734, 0.03555145645141602, 0.03538927841186523, 0.035374942779541015, 0.03515667343139649, 0.03546316909790039, 0.03536844635009766, 0.0354411506652832, 0.035438591003417966, 0.03575603103637695, 0.03582361602783203, 0.03530697631835938, 0.03554483032226562, 0.035240062713623045, 0.03538332748413086, 0.035312255859375, 0.03546665573120117, 0.036733535766601565, 0.035608417510986326, 0.0355101432800293, 0.03543888092041016, 0.03530255889892578, 0.035668830871582034, 0.035518081665039065, 0.03567177581787109, 0.035582622528076174, 0.035483230590820314, 0.03551478576660156, 0.0357498893737793, 0.035422206878662106, 0.03555737686157227, 0.03540172958374024, 0.035456321716308595, 0.03542086410522461, 0.0353950080871582, 0.035574337005615235, 0.03539046478271484, 0.035714046478271484, 0.035464256286621094, 0.035703136444091794, 0.035412574768066404, 0.03551027297973633, 0.03536281585693359, 0.035434337615966795, 0.0354428482055664, 0.03650547027587891, 0.03544076919555664, 0.03534793472290039, 0.035374847412109375, 0.035526592254638674, 0.0354947509765625, 0.03556556701660156, 0.0358109130859375, 0.03537097549438477, 0.03529561614990234, 0.035538593292236326, 0.035601024627685544, 0.03519382476806641, 0.036413345336914066, 0.035544734954833984, 0.03553580856323242, 0.03579904174804688, 0.03585152053833008, 0.0370445442199707, 0.03593875122070313, 0.06162636947631836, 0.03573964691162109, 0.03575356674194336, 0.035598751068115234, 0.03659932708740234, 0.03576675033569336, 0.035950592041015625, 0.03573168182373047, 0.03546495819091797, 0.03563932800292969, 0.03566284942626953, 0.03549622344970703, 0.035524703979492187, 0.03518323135375977, 0.0350904312133789, 0.03521094512939453, 0.03521955108642578, 0.035319393157958984, 0.03522732925415039, 0.03551728057861328, 0.03550585556030274, 0.03547177505493164, 0.03544678497314453, 0.03559219360351563, 0.03560009765625, 0.036042400360107425, 0.03571913528442383, 0.035541664123535155, 0.03555123138427734, 0.03566796875, 0.03534364700317383, 0.035438591003417966, 0.035437217712402345, 0.03563248062133789, 0.035477310180664065, 0.03521628952026367, 0.03530752182006836, 0.035244033813476565, 0.03552179336547852, 0.03573763275146485, 0.03537753677368164, 0.03522524642944336, 0.03530207824707031, 0.03523993682861328, 0.03533580780029297, 0.03557756805419922, 0.03546588897705078, 0.035342464447021486, 0.035523681640625, 0.035377857208251956, 0.03525846481323242, 0.03538473510742188, 0.03571363067626953, 0.035823646545410155, 0.03546646499633789, 0.03546092987060547, 0.03595775985717774, 0.03531465530395508, 0.03604006576538086, 0.035307296752929686, 0.03528793716430664, 0.03610009765625, 0.035748992919921875, 0.035326847076416014, 0.03514518356323242, 0.035653537750244144, 0.03534214401245117, 0.03565241622924804, 0.03538489532470703, 0.03544313430786133, 0.035901439666748046, 0.035383201599121096, 0.035170398712158206, 0.0355491828918457, 0.035068958282470704, 0.0352239990234375, 0.0353408317565918, 0.035491199493408204, 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0.03598416137695312, 0.035536319732666015, 0.03524358367919922, 0.03592515182495117, 0.03534627151489258, 0.03541740798950195, 0.03546182250976562, 0.03561827087402344, 0.035230239868164065, 0.035443840026855467, 0.03533913421630859, 0.03535478210449219, 0.03536576080322266, 0.03552150344848633]",tokens/s,28.120108894249366,,,
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciLM-7B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciLM-7B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: RecurrentGemmaForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gptj,EleutherAI/gpt-j-6b,EleutherAI/gpt-j-6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTJForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7165.108224,11446.124544,0.0,11043.602432,10644.85888,s,1,15.7751533203125,15.7751533203125,0.0,15.7751533203125,15.7751533203125,15.7751533203125,15.7751533203125,[15.7751533203125],,kWh,0.00024206430987082586,2.669443745340421e-05,0.00010852758682200481,0.0003772863341462349,,MB,3060.89984,11464.998912,0.0,11047.796736,10193.631744,s,10,3.767375183105468,0.37673751831054686,0.0007211279943865331,0.37685900878906253,0.3774028839111328,0.3775787612915039,0.37771946319580074,"[0.37504647827148435, 0.37696453857421874, 0.3762663269042969, 0.37660128784179686, 0.3770697021484375, 0.37728143310546874, 0.37675347900390627, 0.37736380004882814, 0.37627349853515624, 0.377754638671875]",tokens/s,679.5181991642727,kWh,1.1012407687036822e-05,1.2142990624317782e-06,7.313740418888799e-06,1.95404471683574e-05,tokens/kWh,13101030.78984552,MB,3064.385536,11464.998912,0.0,11047.796736,10216.945152,s,10,31.02382958984375,3.102382958984375,0.005613867344000379,3.1036630859375,3.1080973876953126,3.1085290405273436,3.1088743627929687,"[3.102741943359375, 3.093324462890625, 3.103872314453125, 3.0974462890625, 3.10800146484375, 3.106240966796875, 3.092713134765625, 3.107074462890625, 3.103453857421875, 3.108960693359375]",tokens/s,20.306970748905954,kWh,7.523066486671181e-05,8.298192851494044e-06,4.991572203131186e-05,0.0001334445797495177,tokens/kWh,472106.0991630699,,s,630,31.021249328613287,0.04924007829938616,0.0008027221667489253,0.04911606407165527,0.04976451644897461,0.05023721599578858,0.052640840911865244,"[0.05024038314819336, 0.04905779266357422, 0.048584705352783204, 0.04890828704833984, 0.04904547119140625, 0.04886937713623047, 0.04877519989013672, 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0.05107712173461914, 0.04885504150390625, 0.04936492919921875, 0.049159934997558594, 0.04962518310546875, 0.04907030487060547, 0.04877238464355469, 0.049232608795166014, 0.04947763061523437, 0.049167808532714845, 0.0488289909362793, 0.04887756729125976, 0.04877449417114258, 0.048707775115966793, 0.049037792205810546, 0.04940185546875, 0.04909465789794922, 0.04915526580810547, 0.049279743194580075, 0.049027137756347657, 0.04953664016723633, 0.04960908889770508, 0.04953011322021485, 0.049566017150878904, 0.04896137619018555, 0.04945161437988281, 0.04911494445800781, 0.049672382354736325, 0.05024563217163086, 0.0494219856262207, 0.049025089263916015, 0.049000736236572265, 0.04926464080810547, 0.05017184066772461, 0.04940982437133789, 0.04916662216186524, 0.04910076904296875, 0.04924419021606445, 0.049459201812744144, 0.049430526733398435, 0.049860607147216796, 0.04900044631958008, 0.049269920349121095, 0.049382240295410156, 0.04905574417114258, 0.04906198501586914, 0.04964956665039062, 0.04956470489501953, 0.05219631958007812, 0.04972544097900391, 0.05018009567260742, 0.04894425582885742, 0.04874911880493164, 0.04874886322021484, 0.04891638565063477, 0.049082176208496094, 0.04928745651245117, 0.04905574417114258, 0.049805313110351565]",tokens/s,20.30865982624699,,,
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 6.12 MiB is free. Process 113462 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 241.58 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-564M,facebook/xglm-564M,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-14B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-14B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3880, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1776, in _check_and_enable_sdpa
    raise ValueError(
ValueError: GPTNeoForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Qwen/Qwen-72B contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Qwen/Qwen-72B.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4088, in from_pretrained
    hf_quantizer.postprocess_model(model)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 195, in postprocess_model
    return self._process_model_after_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 107, in _process_model_after_weight_loading
    model = post_init_awq_exllama_modules(model, self.quantization_config.exllama_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 460, in post_init_awq_exllama_modules
    model = exllamav2_post_init(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllamav2.py"", line 193, in exllamav2_post_init
    submodule.post_init(scratch_space=model.scratch_spaces[device])
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/exllamav2.py"", line 78, in post_init
    self.q_handle = exlv2_ext.make_q_matrix(
RuntimeError: q_weight and gptq_scales have incompatible shapes

"
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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 29058 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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0.32491024780273436]",tokens/s,787.9246617150048,kWh,9.496914052687149e-06,1.0473449039228742e-06,6.288436930387383e-06,1.6832695886997404e-05,tokens/kWh,15208496.70894072,MB,1567.612928,9402.515456,0.0,8992.587776,8125.43744,s,10,22.417164306640625,2.2417164306640625,0.0017633449796451378,2.241837158203125,2.243854833984375,2.244349658203125,2.244745517578125,"[2.24002197265625, 2.2391669921875, 2.240408935546875, 2.244844482421875, 2.239778076171875, 2.243744873046875, 2.241950927734375, 2.241723388671875, 2.243001220703125, 2.2425234375]",tokens/s,28.10346533496993,kWh,6.519396790940043e-05,7.190828362416798e-06,4.344726952481049e-05,0.00011583206579662773,tokens/kWh,543890.8437548918,,s,630,22.412986602783178,0.03557616921076699,0.0003406645445687422,0.03560273551940918,0.036014133071899414,0.03606753921508789,0.036162389793396,"[0.03562540817260742, 0.03507193756103515, 0.03492460632324219, 0.0348364143371582, 0.03492435073852539, 0.035019008636474606, 0.035110080718994144, 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0.03590361785888672, 0.036001598358154294, 0.036006366729736325, 0.0360654411315918, 0.03601408004760742, 0.03605052947998047, 0.03602793502807617, 0.03596992111206055, 0.03590758514404297, 0.03590553665161133, 0.03586867141723633, 0.03600953674316406, 0.03599200057983398, 0.03596646499633789]",tokens/s,28.10870372455261,,,
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-4.5B,facebook/xglm-4.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,xglm,facebook/xglm-7.5B,facebook/xglm-7.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: XGLMForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-14B,Qwen/Qwen1.5-14B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,8205.9264,12277.710848,0.0,11882.463232,11315.947008,s,1,16.886255859375,16.886255859375,0.0,16.886255859375,16.886255859375,16.886255859375,16.886255859375,[16.886255859375],,kWh,0.00029382946845003057,3.239582406865539e-05,0.00012235482010597432,0.00044858011262466027,,MB,4044.82048,12294.488064,0.0,11884.560384,11070.308352,s,10,3.9773246765136716,0.3977324676513672,0.0019224772243556913,0.3980414886474609,0.39965287475585937,0.40012190856933594,0.4004971356201172,"[0.3930919189453125, 0.39734170532226565, 0.39863742065429686, 0.39619915771484376, 0.39800732421875, 0.3980756530761719, 0.3974848022460937, 0.39954864501953125, 0.39834710693359376, 0.4005909423828125]",tokens/s,643.6487358240943,kWh,1.1554067951282704e-05,1.2737012906724567e-06,7.650198427846875e-06,2.0477967669802032e-05,tokens/kWh,12501240.559018562,MB,4049.084416,12296.585216,0.0,11886.657536,11070.310912,s,10,25.94716357421875,2.594716357421875,0.0037278301135179426,2.5959627685546875,2.598407739257812,2.599555920410156,2.6004744653320313,"[2.589595458984375, 2.590308837890625, 2.589087158203125, 2.5964873046875, 2.597010498046875, 2.595438232421875, 2.6007041015625, 2.593673095703125, 2.596706298828125, 2.598152587890625]",tokens/s,24.28011054842124,kWh,7.587325129079908e-05,8.36829190384015e-06,5.051604254955066e-05,0.00013475758574418988,tokens/kWh,467506.1492982874,,s,630,25.943864662170412,0.04118073755900065,0.00041361422757583017,0.041152158737182615,0.04148256874084473,0.04162520122528076,0.04329115642547607,"[0.04304620742797852, 0.041142974853515625, 0.04068518447875977, 0.04066345596313477, 0.04065884780883789, 0.04080031967163086, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 651, in resolve_trust_remote_code
    answer = input(
EOFError: EOF when reading a line

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 149, in load_transformers_model
    self.create_no_weights_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 269, in create_no_weights_model
    meta_model = self.automodel_loader.from_config(self.pretrained_config)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 423, in from_config
    trust_remote_code = resolve_trust_remote_code(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 664, in resolve_trust_remote_code
    raise ValueError(
ValueError: The repository for Deci/DeciCoder-1b contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Deci/DeciCoder-1b.
Please pass the argument `trust_remote_code=True` to allow custom code to be run.

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4920.836096,8001.61792,0.0,7606.370304,6988.678144,s,1,13.69842578125,13.69842578125,0.0,13.69842578125,13.69842578125,13.69842578125,13.69842578125,[13.69842578125],,kWh,0.0001918337320374121,2.1153670764710996e-05,7.7197283980035e-05,0.00029018468678215813,,MB,2802.900992,8018.395136,0.0,7608.467456,6915.136,s,10,2.203863525390625,0.2203863525390625,0.001473780131591768,0.2205274887084961,0.22190032501220702,0.2221533332824707,0.22235573989868163,"[0.21690550231933595, 0.22057408142089843, 0.22184410095214843, 0.22048089599609375, 0.22132266235351564, 0.2190339813232422, 0.22027871704101562, 0.21995756530761718, 0.22105967712402344, 0.22240634155273437]",tokens/s,1161.596428502192,kWh,6.414966657065093e-06,7.074569528675595e-07,4.248040838044473e-06,1.1370464447977125e-05,tokens/kWh,22514471.697375912,MB,2807.226368,8020.492288,0.0,7610.564608,6915.13856,s,10,19.13417175292969,1.913417175292969,0.013176174665317692,1.9097753295898436,1.9265622436523437,1.9365471130371092,1.9445350085449218,"[1.9243433837890624, 1.9071304931640625, 1.8996845703125, 1.9014300537109374, 1.917813720703125, 1.946531982421875, 1.906928955078125, 1.904153076171875, 1.9137353515625, 1.912420166015625]",tokens/s,32.9253864831405,kWh,5.557457008085287e-05,6.1297175610456665e-06,3.68125475659516e-05,9.851683520785015e-05,tokens/kWh,639484.6105955701,,s,630,19.131715995788586,0.030367803167918372,0.000670981992929344,0.030225759506225587,0.030812736701965333,0.031045494365692136,0.032240393447875985,"[0.030822303771972655, 0.03043654441833496, 0.03013724708557129, 0.030142463684082032, 0.03018547248840332, 0.03038617515563965, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/gpt-neox-20b,EleutherAI/gpt-neox-20b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,11035.037696,14897.053696,0.0,14501.80608,13634.065408,s,1,18.76700390625,18.76700390625,0.0,18.76700390625,18.76700390625,18.76700390625,18.76700390625,[18.76700390625],,kWh,0.0003418410694708503,3.769941840282371e-05,0.00015415567887998305,0.0005336961667536571,,MB,2132.942848,14911.73376,0.0,14501.80608,12898.830848,s,10,6.400340270996093,0.6400340270996093,0.000510936811757298,0.6400107116699219,0.6404652282714843,0.6408448883056641,0.6411486163330078,"[0.640380859375, 0.640076904296875, 0.6392645874023437, 0.6397262573242187, 0.6396455078125, 0.640072998046875, 0.6412245483398438, 0.6403334350585937, 0.639666748046875, 0.6399484252929688]",tokens/s,399.9787341933906,kWh,1.8703781793228794e-05,2.0617305319390656e-06,1.2342978624375368e-05,3.310849094954323e-05,tokens/kWh,7732155.488153767,MB,2149.777408,14911.73376,0.0,14501.80608,13243.63264,s,10,36.24666357421875,3.624666357421875,0.0019243924507422602,3.625056518554688,3.626326318359375,3.6270015380859375,3.6275417138671875,"[3.62180712890625, 3.6256484375, 3.624166748046875, 3.6247294921875, 3.62556982421875, 3.624913818359375, 3.62617626953125, 3.62519921875, 3.62077587890625, 3.6276767578125]",tokens/s,17.380910072178384,kWh,0.0001057513950405222,1.1664895981548868e-05,7.05961988380235e-05,0.00018801248986009461,tokens/kWh,335084.12152235245,,s,630,36.24219458389281,0.05752729299030606,0.0005091918130798269,0.05749966430664062,0.05819214363098144,0.0583145601272583,0.05850669719696045,"[0.057396446228027344, 0.056642143249511716, 0.05666396713256836, 0.056575904846191405, 0.0567353286743164, 0.05672604751586914, 0.05664588928222656, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3551.899648,5264.83456,0.0,4869.586944,4520.068608,s,1,11.1682099609375,11.1682099609375,0.0,11.1682099609375,11.1682099609375,11.1682099609375,11.1682099609375,[11.1682099609375],,kWh,0.00012159290330833225,1.3405123182575374e-05,5.266587546599866e-05,0.00018766390195690627,,MB,1475.104768,5298.388992,0.0,4888.461312,4194.016256,s,10,1.7663264923095703,0.17663264923095703,0.00017453915418906213,0.17667317962646484,0.17684921112060545,0.17685737533569335,0.17686390670776367,"[0.17672930908203124, 0.1763408966064453, 0.17639692687988281, 0.17686553955078124, 0.1767637481689453, 0.17661705017089843, 0.17673196411132813, 0.17650860595703124, 0.1765250549316406, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-13b,facebook/opt-13b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-6.7b,facebook/opt-6.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2166.366208,2964.258816,0.0,2569.0112,2295.745536,s,1,9.6473115234375,9.6473115234375,0.0,9.6473115234375,9.6473115234375,9.6473115234375,9.6473115234375,[9.6473115234375],,kWh,7.833504790416252e-05,8.63349490721445e-06,3.1614747514036035e-05,0.000118583290325413,,MB,2210.922496,2981.036032,0.0,2571.108352,2282.381824,s,10,0.8473688659667968,0.08473688659667969,0.00044418413667075065,0.08474364852905274,0.08524638366699219,0.08527711105346679,0.08530169296264647,"[0.08514192199707031, 0.08523955535888672, 0.08446864318847656, 0.08440092468261719, 0.08451583862304687, 0.08378530883789062, 0.0853078384399414, 0.08481427001953125, 0.08502153778076171, 0.08467302703857423]",tokens/s,3021.1164261731446,kWh,2.5314591589078797e-06,2.791743459482126e-07,1.6692015269310386e-06,4.47983503178713e-06,tokens/kWh,57144961.40673164,MB,2214.264832,2981.036032,0.0,2571.108352,2391.673344,s,10,14.580236450195313,1.4580236450195314,0.009167518722685945,1.455982666015625,1.47125048828125,1.47271826171875,1.4738924804687499,"[1.466255859375, 1.4489053955078126, 1.4572235107421876, 1.4547418212890626, 1.47418603515625, 1.4539447021484375, 1.449278076171875, 1.4592376708984376, 1.47092431640625, 1.4455390625]",tokens/s,43.20917580123062,kWh,4.241340228567793e-05,4.677850070407303e-06,2.331506846046541e-05,7.040632081655064e-05,tokens/kWh,894806.0240805878,,s,630,14.57759053802491,0.023139032600039525,0.00042756544902658537,0.023002351760864258,0.023539679908752442,0.023715660858154297,0.024710056915283204,"[0.023114336013793944, 0.02290483283996582, 0.02556844711303711, 0.023786304473876953, 0.02325503921508789, 0.023262624740600587, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1339.94496,1148.125184,0.0,752.877568,710.554112,s,1,8.7731044921875,8.7731044921875,0.0,8.7731044921875,8.7731044921875,8.7731044921875,8.7731044921875,[8.7731044921875],,kWh,4.9749024966695284e-05,5.477843875071808e-06,1.6886957954015402e-05,7.211382679578249e-05,,MB,1337.827328,1429.143552,0.0,1019.215872,949.09696,s,10,0.26381101036071775,0.02638110103607178,0.0003819674675211477,0.026364831924438475,0.02667032299041748,0.026933353710174558,0.027143778285980222,"[0.026392799377441406, 0.026202783584594727, 0.02627484893798828, 0.02629033660888672, 0.02647478485107422, 0.02719638442993164, 0.02633686447143555, 0.02661187171936035, 0.026468511581420898, 0.025561824798583984]",tokens/s,9703.916438133589,kWh,7.683246981357689e-07,8.469786453777631e-08,5.001531779000312e-07,1.3531757405735765e-06,tokens/kWh,189184591.71569848,MB,1358.237696,1437.53216,0.0,1027.60448,949.09952,s,10,13.170380249023436,1.317038024902344,0.008806143524571609,1.3187987060546875,1.325497912597656,1.3257829528808593,1.3260109851074218,"[1.3121505126953126, 1.3254345703125, 1.3126083984375, 1.3182025146484375, 1.3260679931640624, 1.322536376953125, 1.3193948974609375, 1.323876953125, 1.315271240234375, 1.2948367919921875]",tokens/s,47.83460979015495,kWh,3.8256545591859534e-05,4.219283233828629e-06,1.577088761669926e-05,5.824671644238742e-05,tokens/kWh,1081606.0346047853,,s,630,13.167925653457653,0.020901469291202606,0.0003524974265339799,0.020911567687988283,0.021156941413879395,0.021330596446990965,0.022246307201385505,"[0.020983808517456053, 0.02114518356323242, 0.021186784744262697, 0.020934047698974608, 0.02098361587524414, 0.021183456420898437, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4758.474752,7635.59936,0.0,7233.077248,6543.2832,s,1,12.588533203125,12.588533203125,0.0,12.588533203125,12.588533203125,12.588533203125,12.588533203125,[12.588533203125],,kWh,0.0001523027402458865,1.6792606305230585e-05,6.739616502798862e-05,0.0002364915115791057,,MB,1780.8384,7654.473728,0.0,7237.271552,5960.351744,s,10,2.420859176635742,0.2420859176635742,0.0005138109555105713,0.2422885971069336,0.24253287811279298,0.24261312637329102,0.24267732498168945,"[0.2415701446533203, 0.24221466064453126, 0.24196745300292968, 0.24236253356933593, 0.24119386291503905, 0.24251094055175781, 0.24269337463378907, 0.24251504516601563, 0.2424983673095703, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-125m,facebook/opt-125m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 224629 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: OPTForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7334.526976,9673.048064,0.0,9277.800448,8679.633408,s,1,14.6659150390625,14.6659150390625,0.0,14.6659150390625,14.6659150390625,14.6659150390625,14.6659150390625,[14.6659150390625],,kWh,0.00022638449367916183,2.496456093734959e-05,0.00010217091507000453,0.0003535199696865159,,MB,1633.624064,9687.728128,0.0,9277.800448,8206.444544,s,10,3.639275939941406,0.3639275939941406,0.0009292388946834563,0.3641373748779297,0.36494803466796877,0.36504625244140626,0.3651248266601563,"[0.36514447021484375, 0.3631889343261719, 0.36265203857421874, 0.363911865234375, 0.36459429931640625, 0.362269287109375, 0.36436288452148435, 0.36359759521484375, 0.36492620849609375, 0.36462835693359374]",tokens/s,703.4366292216954,kWh,1.0648591585416512e-05,1.1743468569112036e-06,7.045541350713927e-06,1.886847979304164e-05,tokens/kWh,13567600.718655048,MB,1637.482496,9687.728128,0.0,9277.800448,8483.104256,s,10,24.1464248046875,2.41464248046875,0.0032581539207504878,2.4154171142578127,2.4186192626953122,2.418891174316406,2.419108703613281,"[2.409552490234375, 2.41047900390625, 2.411179931640625, 2.415583984375, 2.4128466796875, 2.415250244140625, 2.418558837890625, 2.416442138671875, 2.4191630859375, 2.417368408203125]",tokens/s,26.09081903825776,kWh,7.050408184916646e-05,7.776659843467544e-06,4.701366856328689e-05,0.00012529441025592087,tokens/kWh,502815.7271447223,,s,630,24.142780403137223,0.038321873655773345,0.0003929093673359112,0.038308799743652346,0.03883981666564942,0.038901848220825194,0.03900824077606201,"[0.03857583999633789, 0.037775646209716796, 0.037539840698242184, 0.037614879608154295, 0.03764025497436523, 0.03761129760742187, 0.037563007354736326, 0.0376814079284668, 0.03783785629272461, 0.037826976776123046, 0.03775955200195313, 0.037741825103759764, 0.03778412628173828, 0.037865665435791014, 0.03782656097412109, 0.03779919815063477, 0.03781500625610352, 0.037804031372070314, 0.03781017684936523, 0.03796582412719727, 0.03805712127685547, 0.038060897827148436, 0.03808844757080078, 0.03813750457763672, 0.03818761444091797, 0.03812895965576172, 0.038124031066894534, 0.0381049919128418, 0.038050079345703126, 0.03806585693359375, 0.038029632568359374, 0.03810841751098633, 0.03817753601074219, 0.03830771255493164, 0.03822195053100586, 0.03827014541625977, 0.03833119964599609, 0.03832831954956055, 0.03827228927612305, 0.03833516693115235, 0.038515968322753905, 0.03848886489868164, 0.038408191680908206, 0.03844095993041992, 0.03840732955932617, 0.03849097442626953, 0.03859628677368164, 0.03869289779663086, 0.03867219161987305, 0.03879894256591797, 0.03871324920654297, 0.038925121307373044, 0.03890192031860352, 0.03879731369018555, 0.0386761589050293, 0.03863724899291992, 0.03876927947998047, 0.038811168670654296, 0.03883465576171875, 0.03886000061035156, 0.0388267822265625, 0.03886016082763672, 0.03880409622192383, 0.038560031890869144, 0.03792035293579102, 0.03766518402099609, 0.037703231811523436, 0.03769708633422852, 0.037668800354003905, 0.037635009765625, 0.0376995849609375, 0.037720062255859374, 0.03783200073242188, 0.03784569549560547, 0.037787647247314454, 0.037754878997802735, 0.037852607727050784, 0.037782081604003905, 0.037795360565185544, 0.03777788925170898, 0.03786751937866211, 0.03798777770996094, 0.03805606460571289, 0.037980609893798825, 0.03801657485961914, 0.03796217727661133, 0.037973281860351565, 0.038141918182373044, 0.03822665786743164, 0.03819113540649414, 0.03807392120361328, 0.038121921539306644, 0.03818905639648437, 0.0381376953125, 0.03819084930419922, 0.0383553581237793, 0.038458366394042966, 0.03842876815795898, 0.03840911865234375, 0.03836921691894531, 0.038541057586669925, 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4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-exllama-v2-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-6B-nl,Salesforce/codegen-6B-nl,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3874, in from_pretrained
    config = cls._autoset_attn_implementation(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1581, in _autoset_attn_implementation
    config = cls._check_and_enable_sdpa(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 1770, in _check_and_enable_sdpa
    raise ValueError(
ValueError: CodeGenForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`

"
4bit-awq-exllama-v2-sdpa,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-410m,EleutherAI/pythia-410m,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,awq,4,exllama,2,64,1,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-7B,Qwen/Qwen-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-66b,facebook/opt-66b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-7b,stabilityai/stablelm-base-alpha-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-2.7B,EleutherAI/gpt-neo-2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2172.416,2198.798336,0.0,1820.327936,1730.89792,s,1,8.8145322265625,8.8145322265625,0.0,8.8145322265625,8.8145322265625,8.8145322265625,8.8145322265625,[8.8145322265625],,kWh,5.4517574154160305e-05,6.00652971744652e-06,1.8165570088005123e-05,7.868967395961195e-05,,MB,2246.254592,2343.501824,0.0,1935.671296,1893.834752,s,10,1.6642487487792967,0.16642487487792965,0.0006596255032235849,0.16620549011230468,0.1671137954711914,0.16756105575561525,0.1679188639831543,"[0.16800831604003907, 0.16573887634277343, 0.16613337707519532, 0.16627760314941406, 0.16562451171875, 0.167014404296875, 0.16610520935058593, 0.1661298522949219, 0.166712890625, 0.16650370788574217]",tokens/s,1538.2315906067076,kWh,4.944369268124862e-06,5.452589416985818e-07,3.2784424375666374e-06,8.768070647390081e-06,tokens/kWh,29196845.040955663,MB,2252.017664,2490.302464,0.0,2082.471936,1953.4336,s,10,15.85852490234375,1.585852490234375,0.014475317429753993,1.5874735717773438,1.6008872436523438,1.601325762939453,1.6016765783691407,"[1.6017642822265625, 1.5851982421875, 1.600789794921875, 1.5940562744140625, 1.58705517578125, 1.5878919677734376, 1.5962750244140624, 1.57608447265625, 1.5796583251953125, 1.5497513427734375]",tokens/s,39.72626734702744,kWh,4.576581528312513e-05,5.047719653414422e-06,2.790886029003318e-05,7.872239522657272e-05,tokens/kWh,800280.5277796523,,s,630,15.855024709701548,0.025166705888415138,0.0006164887478600973,0.025137167930603027,0.025476288795471192,0.025661361122131347,0.02766415050506593,"[0.025282880783081055, 0.02501523208618164, 0.0251013126373291, 0.025157632827758788, 0.025169919967651368, 0.02531942367553711, 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0.02507980728149414, 0.025049087524414062, 0.025069055557250978, 0.025132640838623047, 0.02508896064758301, 0.02513711929321289, 0.025061376571655275, 0.02506883239746094, 0.025086368560791016, 0.025300416946411133, 0.025221696853637697, 0.024961376190185548, 0.02487612724304199, 0.0247445125579834, 0.024440160751342775, 0.024236799240112305, 0.024745887756347656, 0.02453708839416504, 0.024279327392578126, 0.024166112899780275, 0.023985151290893555, 0.024092927932739257, 0.02411392021179199, 0.02402521514892578, 0.024016767501831054, 0.02405171203613281, 0.02402659225463867, 0.02419152069091797, 0.024276992797851563, 0.02408963203430176, 0.024182975769042967, 0.024179487228393554, 0.024137727737426756, 0.024191999435424806, 0.024050304412841797, 0.02405414390563965, 0.023988224029541014, 0.024287008285522462, 0.024226015090942382, 0.024341791152954102, 0.024380128860473634, 0.02431795120239258, 0.024334144592285157, 0.024277151107788084, 0.02430953598022461, 0.024330495834350586, 0.02432137680053711, 0.02436777687072754, 0.02445516777038574, 0.02458163261413574, 0.024381952285766603, 0.024369152069091796, 0.02447670364379883, 0.0246363525390625, 0.024960159301757812, 0.025069759368896483, 0.025055936813354492, 0.025146944046020508, 0.025020864486694334, 0.025178016662597655, 0.02517411231994629, 0.025185823440551758, 0.025405536651611327, 0.02541401672363281, 0.025100160598754882, 0.02526630401611328, 0.025140575408935547, 0.025305952072143555, 0.025333568572998046, 0.025616384506225585, 0.025214975357055663, 0.02522217559814453]",tokens/s,39.73503741148439,,,
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-7b,tiiuae/falcon-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-7b-hf,meta-llama/Llama-2-7b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-rw-1b,tiiuae/falcon-rw-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-4B,Qwen/Qwen1.5-4B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 96, in run
    self.run_text_generation_memory_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 205, in run_text_generation_memory_tracking
    _ = backend.generate(self.inputs, self.config.generate_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 454, in generate
    return self.pretrained_model.generate(**inputs, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
    return func(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
    result = self._sample(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
    outputs = self(**model_inputs, return_dict=True)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 1167, in forward
    outputs = self.model(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 976, in forward
    layer_outputs = decoder_layer(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 702, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1562, in _call_impl
    return forward_call(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 362, in forward
    query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/qwen2/modeling_qwen2.py"", line 260, in apply_rotary_pos_emb
    k_embed = (k * cos) + (rotate_half(k) * sin)
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.


"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm2,internlm/internlm2-20b,internlm/internlm2-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,deci,Deci/DeciLM-7B,Deci/DeciLM-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4356.624384,4562.28864,0.0,4183.81824,4182.069248,s,1,9.8477255859375,9.8477255859375,0.0,9.8477255859375,9.8477255859375,9.8477255859375,9.8477255859375,[9.8477255859375],,kWh,8.873898320000061e-05,9.781352760492478e-06,2.9000856533999923e-05,0.00012752119249449302,,MB,1599.602688,4715.380736,0.0,4307.550208,4281.174016,s,10,3.7143634033203123,0.3714363403320312,0.0021803293657190388,0.37187149047851564,0.373250830078125,0.37330784912109377,0.37335346435546873,"[0.3652881774902344, 0.37182183837890626, 0.371921142578125, 0.3733648681640625, 0.3726637268066406, 0.3722630615234375, 0.3711059875488281, 0.3711553039550781, 0.3732381591796875, 0.3715411376953125]",tokens/s,689.2163533895435,kWh,1.0779766479166616e-05,1.1880993018705978e-06,7.134093008857145e-06,1.910195878989436e-05,tokens/kWh,13401766.950488525,MB,1605.07904,4730.0608,0.0,4322.230272,4281.176576,s,10,18.6219794921875,1.86219794921875,0.009161592099191089,1.8625853881835939,1.871479797363281,1.873463653564453,1.8750507385253905,"[1.8694849853515625, 1.85217333984375, 1.8689837646484375, 1.8710389404296874, 1.870054443359375, 1.8488328857421874, 1.8560394287109374, 1.85618701171875, 1.8537371826171876, 1.875447509765625]",tokens/s,33.83098989365253,kWh,5.4357870552083466e-05,5.9959499420913065e-06,3.603005263354278e-05,9.638387312771752e-05,tokens/kWh,653636.3185625378,,s,630,18.61888622093199,0.029553787652273025,0.0006580003981161237,0.029398816108703613,0.029977926063537597,0.030449244976043698,0.03256973907470704,"[0.030482912063598634, 0.029822080612182618, 0.02954444885253906, 0.02929676818847656, 0.02929305648803711, 0.02929414367675781, 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0.02936729621887207, 0.029432512283325194, 0.030513343811035157, 0.030652799606323243, 0.030134016036987305, 0.030004480361938476, 0.030009376525878907, 0.029935808181762696, 0.029714975357055664, 0.03034636878967285, 0.030593536376953126, 0.02963007926940918, 0.029301504135131835, 0.029403200149536134, 0.029374176025390625, 0.029468896865844727, 0.029474815368652343, 0.02931711959838867, 0.02931292724609375, 0.029266016006469726, 0.029366111755371092, 0.029606048583984374, 0.02931711959838867, 0.029130752563476563, 0.030665023803710938, 0.029875904083251952]",tokens/s,33.8366104462109,,,
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-3b-4e1t,stabilityai/stablelm-3b-4e1t,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-13b,huggyllama/llama-13b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-2.7b,facebook/opt-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,2042.904576,2090.729472,0.0,1704.984576,1584.582656,s,1,9.21046484375,9.21046484375,0.0,9.21046484375,9.21046484375,9.21046484375,9.21046484375,[9.21046484375],,kWh,4.7607886637471586e-05,5.237542919873092e-06,1.659917994600857e-05,6.944460950335325e-05,,MB,1606.8608,2222.850048,0.0,1807.745024,1740.566528,s,10,1.5413435974121095,0.15413435974121092,0.0006466721792513922,0.15396320343017578,0.15451668243408204,0.15523184432983397,0.15580397384643555,"[0.15594700622558594, 0.15371490478515626, 0.1541998748779297, 0.1537677459716797, 0.153865478515625, 0.1536513214111328, 0.15435775756835937, 0.1541134338378906, 0.15406092834472657, 0.15366514587402344]",tokens/s,1660.8885937556026,kWh,4.633877077994815e-06,5.107095466066841e-07,3.0793731232189696e-06,8.223959747820468e-06,tokens/kWh,31128557.027269702,MB,1612.972032,2369.650688,0.0,1954.545664,1805.569024,s,10,14.226609375,1.4226609375,0.008867347347852135,1.4230558471679688,1.4315916625976564,1.436672235107422,1.4407366931152343,"[1.4165667724609374, 1.4417528076171875, 1.4230211181640624, 1.4152039794921876, 1.4263116455078124, 1.4267042236328125, 1.41170263671875, 1.423090576171875, 1.41179296875, 1.430462646484375]",tokens/s,44.28321488232329,kWh,5.256855610033655e-05,5.7983965339957e-06,2.8673652279178913e-05,8.704060491351119e-05,tokens/kWh,723800.1167684968,,s,630,14.218644268035879,0.02256927661592998,0.0003756135765653414,0.022491007804870608,0.02295808639526367,0.02312665615081787,0.023848766117095948,"[0.022953983306884765, 0.022816543579101563, 0.02247817611694336, 0.022401920318603517, 0.022392223358154297, 0.02239958381652832, 0.02229043197631836, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi,microsoft/phi-1_5,microsoft/phi-1_5,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-2b,google/recurrentgemma-2b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,1858.260992,2820.538368,0.0,2434.793472,2407.822848,s,1,8.8084072265625,8.8084072265625,0.0,8.8084072265625,8.8084072265625,8.8084072265625,8.8084072265625,[8.8084072265625],,kWh,5.120098608329802e-05,5.635867549746195e-06,1.631417971800775e-05,7.315103335105196e-05,,MB,1956.2496,3871.21152,0.0,3451.912192,2999.957504,s,10,5.177409851074218,0.5177409851074218,0.06991661313111333,0.5512180480957032,0.5552003295898437,0.5568318542480468,0.5581370739746093,"[0.3788780822753906, 0.37709445190429686, 0.55138671875, 0.5548377685546875, 0.5527754516601563, 0.5500377807617187, 0.5510493774414063, 0.5520761108398438, 0.5508107299804688, 0.55846337890625]",tokens/s,494.4557362923174,kWh,1.666209497523478e-05,1.837543809381452e-06,7.878740870889072e-06,2.6378379655505307e-05,tokens/kWh,9704917.562916774,MB,1964.838912,3873.308672,0.0,3454.009344,2999.960064,s,10,30.109125244140625,3.0109125244140627,0.2710568465089674,3.13614306640625,3.1505343017578125,3.179036682128906,3.2018385864257812,"[2.46539501953125, 2.475647705078125, 3.13516796875, 3.14079443359375, 3.124468017578125, 3.1371181640625, 3.13467333984375, 3.144200439453125, 3.14412109375, 3.2075390625]",tokens/s,20.92388918281845,kWh,9.401137071601894e-05,1.036987105003129e-05,4.551135739670815e-05,0.00014989259916275838,tokens/kWh,420300.9378174335,,s,630,30.107398406982412,0.04778952128092448,0.0044781567185291915,0.049549312591552735,0.0506115535736084,0.05099746398925781,0.05316491729736331,"[0.03956121444702149, 0.039016063690185544, 0.039247360229492184, 0.03892723083496094, 0.038819839477539066, 0.03885055923461914, 0.03909971237182617, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-1_6b,stabilityai/stablelm-2-1_6b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-3B-v1,togethercomputer/RedPajama-INCITE-Base-3B-v1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-14B,Qwen/Qwen2-beta-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,7159.865344,10248.650752,0.0,9862.905856,9797.835264,s,1,13.036337890625,13.036337890625,0.0,13.036337890625,13.036337890625,13.036337890625,13.036337890625,[13.036337890625],,kWh,0.0001601455375041572,1.7655413268169356e-05,5.424448783999947e-05,0.00023204543861232602,,MB,2928.021504,10626.138112,0.0,10211.033088,10097.478144,s,10,7.080755126953125,0.7080755126953125,0.0021852999069200663,0.708653076171875,0.7098954345703126,0.7101543823242188,0.7103615405273438,"[0.702265625, 0.7067350463867188, 0.708219970703125, 0.707822509765625, 0.7079814453125, 0.7092393188476562, 0.709837890625, 0.709086181640625, 0.70915380859375, 0.710413330078125]",tokens/s,361.5433600090584,kWh,2.0654328066945408e-05,2.2778309918260785e-06,1.3706399853999814e-05,3.66385589127713e-05,tokens/kWh,6987174.375757577,MB,2932.051968,10630.332416,0.0,10213.13024,10097.480704,s,10,37.07304760742188,3.7073047607421876,0.0052103151914074265,3.7071820068359376,3.7146004150390626,3.716242102050781,3.717555451660156,"[3.708646484375, 3.704712890625, 3.714235595703125, 3.7004345703125, 3.708013671875, 3.7178837890625, 3.707966064453125, 3.7007197265625, 3.704036865234375, 3.70639794921875]",tokens/s,16.99347748993467,kWh,9.782617883013852e-05,1.0789192504527572e-05,6.500438533679996e-05,0.000173619756671466,tokens/kWh,362861.9300464317,,s,630,37.06995254516605,0.05884119451613652,0.0006394524138849767,0.058709760665893555,0.05922449226379395,0.05971522789001465,0.061702710342407235,"[0.059774974822998046, 0.059101184844970706, 0.05900502395629883, 0.05902121734619141, 0.05874697494506836, 0.05884236907958985, 0.05944553756713867, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-32B,Qwen/Qwen1.5-32B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 4.12 MiB is free. Process 110512 has 14.73 GiB memory in use. Of the allocated memory 14.40 GiB is allocated by PyTorch, and 242.96 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-125m,EleutherAI/gpt-neo-125m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-14B,Qwen/Qwen-14B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-7b,huggyllama/llama-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-180B,tiiuae/falcon-180B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neo,EleutherAI/gpt-neo-1.3B,EleutherAI/gpt-neo-1.3B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1501.093888,1324.285952,0.0,945.815552,943.480832,s,1,8.4035087890625,8.4035087890625,0.0,8.4035087890625,8.4035087890625,8.4035087890625,8.4035087890625,[8.4035087890625],,kWh,4.1327311754164e-05,4.550933413764803e-06,1.3277510622005523e-05,5.9155755789934325e-05,,MB,1589.542912,1487.863808,0.0,1080.03328,1046.51776,s,10,0.8268167724609374,0.08268167724609374,0.0004368021488074932,0.08262483215332031,0.08331148834228516,0.08346441802978516,0.08358676177978516,"[0.08361734771728516, 0.08257561492919922, 0.0824674530029297, 0.08216486358642579, 0.08275836944580078, 0.08218051147460938, 0.08327750396728516, 0.08237484741210938, 0.08272621154785156, 0.08267404937744141]",tokens/s,3096.211984646146,kWh,2.5114694163461434e-06,2.768441387566843e-07,1.6708014316068285e-06,4.459114986709656e-06,tokens/kWh,57410495.30299291,MB,1593.438208,1573.84704,0.0,1166.016512,1082.822656,s,10,11.529435424804689,1.1529435424804686,0.002247484354686342,1.1528699340820312,1.155279248046875,1.1558662475585937,1.1563358471679688,"[1.152810791015625, 1.15289111328125, 1.1527913818359374, 1.1551488037109374, 1.1535712890625, 1.1528487548828126, 1.1502054443359375, 1.1481671142578125, 1.1545474853515625, 1.1564532470703126]",tokens/s,54.64274500767001,kWh,3.383504718865373e-05,3.731713839729946e-06,1.7744325211593323e-05,5.531108623997701e-05,tokens/kWh,1139012.16343254,,s,630,11.527169504165656,0.018297094451056584,0.0003323471075669016,0.018204559326171876,0.01853084735870361,0.018927657604217527,0.01959991451263428,"[0.018458911895751953, 0.018184671401977538, 0.01805721664428711, 0.018102272033691406, 0.01833776092529297, 0.01850774383544922, 0.01816172790527344, 0.018067455291748045, 0.01827014350891113, 0.01813100814819336, 0.018089984893798827, 0.01811359977722168, 0.018141984939575195, 0.018163007736206056, 0.01816643142700195, 0.018217151641845702, 0.01816582489013672, 0.01832748794555664, 0.018210111618041994, 0.018090368270874024, 0.018047103881835936, 0.01814134407043457, 0.018185375213623046, 0.018227615356445313, 0.018135520935058595, 0.018077695846557617, 0.018153663635253905, 0.0181463680267334, 0.01811327934265137, 0.018124479293823242, 0.018143552780151367, 0.018131231307983397, 0.018112224578857423, 0.019215391159057616, 0.018207712173461912, 0.018198528289794923, 0.01816783905029297, 0.01830499267578125, 0.018237760543823242, 0.018340736389160155, 0.01835647964477539, 0.018370784759521485, 0.018574975967407228, 0.018284351348876952, 0.018283424377441407, 0.018289920806884765, 0.018270879745483398, 0.018410751342773438, 0.018221023559570313, 0.01821526336669922, 0.02178102493286133, 0.01844428825378418, 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0.018110496520996094, 0.018118783950805663, 0.01814691162109375, 0.018225568771362305, 0.018134559631347656, 0.01815395164489746, 0.01825382423400879, 0.018159616470336915, 0.018128896713256838, 0.01814240074157715, 0.01810256004333496, 0.018141727447509765, 0.01818979263305664, 0.018147296905517578, 0.018289087295532226, 0.01817344093322754, 0.018137727737426758, 0.01816985511779785, 0.0184965763092041, 0.018289600372314453, 0.01828985595703125, 0.01826464080810547, 0.018267488479614256, 0.018408191680908202, 0.01818003273010254, 0.018272192001342773, 0.018140512466430662, 0.01811520004272461, 0.018172224044799803, 0.01818320083618164, 0.01808483123779297, 0.01821696090698242, 0.018051071166992186, 0.019091455459594727, 0.018181535720825197, 0.018107135772705077, 0.018171743392944337, 0.018146400451660157, 0.01813596725463867, 0.01840742492675781, 0.01837494468688965, 0.018650848388671874, 0.018485023498535157, 0.018392416000366212, 0.018357152938842772, 0.018194400787353515, 0.018093984603881837, 0.018399391174316406, 0.018079776763916016, 0.018304607391357423, 0.020652351379394532, 0.01961155128479004, 0.018309215545654296, 0.018264064788818358, 0.01815331268310547, 0.018258848190307618, 0.01819443130493164, 0.01843177604675293, 0.018120927810668944, 0.018182144165039063, 0.018152448654174806, 0.01815449523925781, 0.01806780815124512, 0.01811814308166504, 0.01858531188964844, 0.01825584030151367, 0.018252191543579103, 0.018177536010742186, 0.018208480834960936, 0.018352991104125978, 0.01829478454589844, 0.01830297660827637, 0.018431999206542968, 0.01918156814575195, 0.01852544021606445, 0.018491264343261718, 0.018478111267089845, 0.01845631980895996, 0.018456640243530272, 0.018409503936767577, 0.018526208877563476, 0.01858905601501465, 0.01851158332824707, 0.019485631942749024, 0.01853228759765625, 0.01837264060974121, 0.018249408721923828, 0.018217632293701172, 0.018124448776245118, 0.01826959991455078, 0.01834377670288086, 0.018706687927246092, 0.01859382438659668, 0.018280576705932618, 0.01829859161376953, 0.018192127227783204, 0.01827724838256836, 0.018171743392944337, 0.018148704528808592, 0.018279232025146485, 0.018366111755371093, 0.018315616607666015, 0.018210464477539063, 0.018288991928100587, 0.018193599700927734, 0.018225120544433593, 0.018207584381103516, 0.01837648010253906, 0.018501792907714844, 0.018472991943359374, 0.018415647506713866, 0.018571264266967775, 0.018308576583862306, 0.018246431350708008, 0.01821980857849121, 0.01815648078918457, 0.018156608581542968, 0.018278656005859376]",tokens/s,54.653486250231055,,,
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mistral,mistralai/Mistral-7B-v0.1,mistralai/Mistral-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x7B-v0.1,mistralai/Mixtral-8x7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen,Qwen/Qwen-72B,Qwen/Qwen-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 553, in from_pretrained
    model_class = get_class_from_dynamic_module(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 540, in get_class_from_dynamic_module
    final_module = get_cached_module_file(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 365, in get_cached_module_file
    modules_needed = check_imports(resolved_module_file)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/dynamic_module_utils.py"", line 197, in check_imports
    raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: transformers_stream_generator. Run `pip install transformers_stream_generator`

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-30b,facebook/opt-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 98.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 96.12 MiB is free. Process 290696 has 14.64 GiB memory in use. Of the allocated memory 14.23 GiB is allocated by PyTorch, and 323.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2_moe,Qwen/Qwen1.5-MoE-A2.7B,Qwen/Qwen1.5-MoE-A2.7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3894, in from_pretrained
    hf_quantizer.preprocess_model(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/base.py"", line 182, in preprocess_model
    return self._process_model_before_weight_loading(model, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/quantizers/quantizer_awq.py"", line 85, in _process_model_before_weight_loading
    model, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 179, in replace_with_awq_linear
    _, has_been_replaced = replace_with_awq_linear(
  [Previous line repeated 1 more time]
  File ""/usr/local/lib/python3.10/dist-packages/transformers/integrations/awq.py"", line 166, in replace_with_awq_linear
    model._modules[name] = target_cls(
  File ""/usr/local/lib/python3.10/dist-packages/awq/modules/linear/gemv.py"", line 42, in __init__
    assert out_features % (32 // self.w_bit) == 0
AssertionError

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-1.3b,EleutherAI/pythia-1.3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,1491.501056,1546.584064,0.0,1168.113664,1154.613248,s,1,8.3148095703125,8.3148095703125,0.0,8.3148095703125,8.3148095703125,8.3148095703125,8.3148095703125,[8.3148095703125],,kWh,3.861054563332876e-05,4.251723312599966e-06,1.2329732086008294e-05,5.5192001031937024e-05,,MB,1591.00928,1796.145152,0.0,1388.314624,1334.065152,s,10,0.8245529479980468,0.08245529479980468,0.00039060264817304067,0.08240457534790038,0.0828208740234375,0.08305651702880859,0.08324503143310547,"[0.08329216003417969, 0.08210860443115234, 0.08276850891113281, 0.08228358459472657, 0.08231641387939453, 0.08249273681640625, 0.08180339050292969, 0.08251830291748047, 0.08223340606689453, 0.08273583984375]",tokens/s,3104.7126885125926,kWh,2.4979876080481665e-06,2.7548447445572607e-07,1.655366946324919e-06,4.428839028828811e-06,tokens/kWh,57802958.81914186,MB,1599.61088,1796.145152,0.0,1388.314624,1372.847616,s,10,14.184140502929688,1.4184140502929687,0.012717605394795299,1.4124118041992189,1.4413192993164063,1.441889324951172,1.4423453454589845,"[1.441192626953125, 1.41733544921875, 1.424362548828125, 1.4087288818359376, 1.4124964599609375, 1.4068421630859376, 1.40653955078125, 1.4424593505859375, 1.4123271484375, 1.4118563232421875]",tokens/s,44.41580368368994,kWh,4.158395035028572e-05,4.5863410420389415e-06,2.066892869087587e-05,6.683922008320053e-05,tokens/kWh,942560.369818476,,s,630,14.181650554656967,0.022510556435963464,0.000441573484618649,0.022355904579162596,0.023032106399536133,0.023229604244232177,0.024400959815979003,"[0.022883968353271486, 0.022775615692138672, 0.022372928619384766, 0.02328134346008301, 0.022628671646118165, 0.02272390365600586, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-34B,01-ai/Yi-34B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4091, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2958, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 854, in _apply
    self._buffers[key] = fn(buf)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 70.00 MiB. GPU 0 has a total capacity of 14.74 GiB of which 22.12 MiB is free. Process 25849 has 14.72 GiB memory in use. Of the allocated memory 14.43 GiB is allocated by PyTorch, and 193.89 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-12b,EleutherAI/pythia-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,6729.650176,7525.564416,0.0,7147.094016,7138.9184,s,1,11.4090703125,11.4090703125,0.0,11.4090703125,11.4090703125,11.4090703125,11.4090703125,[11.4090703125],,kWh,0.00012896135883750805,1.4217553013790054e-05,4.2785312005994e-05,0.0001859642238572921,,MB,1605.595136,8226.013184,0.0,7818.182656,7724.300288,s,10,6.541907592773438,0.6541907592773437,0.0010968707736659236,0.6545454406738281,0.6554325134277343,0.6555990386962891,0.6557322589111328,"[0.6523662719726563, 0.6524636840820313, 0.6538348388671875, 0.6533842163085938, 0.6545287475585938, 0.6553955078125, 0.6548684692382812, 0.6547381591796875, 0.6545621337890625, 0.6557655639648438]",tokens/s,391.32316739354764,kWh,1.9139248714321864e-05,2.110738477930151e-06,1.2704662941499106e-05,3.395465013375112e-05,tokens/kWh,7539468.054937621,MB,1611.640832,8372.813824,0.0,7964.983296,7904.605696,s,10,30.872391845703124,3.087239184570312,0.009571757553960468,3.0865322265625,3.094320703125,3.1031818359375,3.1102707421875,"[3.077819091796875, 3.076754638671875, 3.08461279296875, 3.07926171875, 3.087107666015625, 3.087256103515625, 3.089228515625, 3.085956787109375, 3.0923515625, 3.11204296875]",tokens/s,20.40658213813403,kWh,8.99548742615112e-05,9.922422753871875e-06,5.9754061692101484e-05,0.00015963135870748454,tokens/kWh,394659.29821122397,,s,630,30.868402111053467,0.04899746366833883,0.000977710370331209,0.048934560775756836,0.04963838310241699,0.04993952903747558,0.05121825778961182,"[0.0511861457824707, 0.04846723175048828, 0.04803587341308594, 0.04802835083007812, 0.048527359008789066, 0.048216064453125, 0.04802969741821289, 0.047993854522705076, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-70b-hf,meta-llama/Llama-2-70b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,Deci/DeciCoder-1b,Deci/DeciCoder-1b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 559, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 3886, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 248, in __init__
    self.model = DeciCoderModel(config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in __init__
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 215, in <listcomp>
    self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 181, in __init__
    self.self_attn = DeciCoderAttention(config=config)
  File ""/root/.cache/huggingface/modules/transformers_modules/Deci/DeciCoder-1b/d045c14763eab7225fe79a6bc309890fda7b1483/modeling_decicoder.py"", line 54, in __init__
    self._init_rope()
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1729, in __getattr__
    raise AttributeError(f""'{type(self).__name__}' object has no attribute '{name}'"")
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-70B,meta-llama/Meta-Llama-3-70B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,togethercomputer/RedPajama-INCITE-Base-7B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-72B,Qwen/Qwen1.5-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,internlm,internlm/internlm-20b,internlm/internlm-20b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-110B,Qwen/Qwen1.5-110B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.751424,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,codegen,Salesforce/codegen-16B-nl,Salesforce/codegen-16B-nl,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,8557.34272,9684.516864,0.0,9298.771968,9263.222784,s,1,12.1748349609375,12.1748349609375,0.0,12.1748349609375,12.1748349609375,12.1748349609375,12.1748349609375,[12.1748349609375],,kWh,0.00015162622932917504,1.67181384463455e-05,5.129726325998896e-05,0.0002196416310355095,,MB,1665.196032,10212.999168,0.0,9795.796992,9630.892032,s,10,8.682466796875,0.8682466796874999,0.0010660658831856036,0.8682899780273436,0.8690290100097656,0.869810220336914,0.8704351885986328,"[0.8661140747070313, 0.8673870849609375, 0.8683126220703125, 0.868531982421875, 0.8679371337890625, 0.8683518676757812, 0.868267333984375, 0.8681178588867188, 0.8688554077148437, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2-large,openai-community/gpt2-large,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-65b,huggyllama/llama-65b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,huggyllama/llama-30b,huggyllama/llama-30b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Llama-2-13b-hf,meta-llama/Llama-2-13b-hf,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-7B,Qwen/Qwen1.5-7B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,4908.900352,7227.768832,0.0,6849.298432,6445.09696,s,1,11.409763671875,11.409763671875,0.0,11.409763671875,11.409763671875,11.409763671875,11.409763671875,[11.409763671875],,kWh,0.00012727060596250036,1.4031577753581444e-05,4.089781049598784e-05,0.00018219999421206963,,MB,2795.634688,7580.090368,0.0,7172.25984,6823.319552,s,10,3.659079406738282,0.3659079406738281,0.0022586638860903206,0.3660846557617188,0.36860031433105467,0.36880082855224605,0.3689612399291992,"[0.36158599853515627, 0.36374530029296875, 0.36855264282226563, 0.36434072875976564, 0.3690013427734375, 0.36476950073242187, 0.36626763916015626, 0.36590167236328125, 0.36855575561523435, 0.36635882568359374]",tokens/s,699.6295284780373,kWh,1.0731959706250413e-05,1.1835455571471207e-06,7.125333081214087e-06,1.904083834461162e-05,tokens/kWh,13444786.167855136,MB,2799.960064,7582.18752,0.0,7174.356992,6823.322112,s,10,22.737356689453122,2.2737356689453123,0.010605739310478824,2.2769017333984376,2.285530078125,2.286243310546875,2.286813896484375,"[2.2818232421875, 2.2616044921875, 2.28537158203125, 2.2813994140625, 2.2808974609375, 2.272906005859375, 2.25453369140625, 2.266579345703125, 2.265284912109375, 2.28695654296875]",tokens/s,27.70770624767609,kWh,6.630275453333297e-05,7.313228889816367e-06,4.402154116958458e-05,0.00011763752459273392,tokens/kWh,535543.4009522783,,s,630,22.73450096893311,0.03608650947449699,0.0005440227987745136,0.0360599365234375,0.03659966354370117,0.03701184482574463,0.037776075401306154,"[0.03709203338623047, 0.036034656524658204, 0.037209697723388675, 0.035833889007568356, 0.03566934585571289, 0.03578083038330078, 0.035856895446777344, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,stabilityai/stablelm-base-alpha-3b,stabilityai/stablelm-base-alpha-3b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,recurrent_gemma,google/recurrentgemma-9b,google/recurrentgemma-9b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4625.73568,6587.02336,0.0,6201.278464,6094.567936,s,1,10.9061943359375,10.9061943359375,0.0,10.9061943359375,10.9061943359375,10.9061943359375,10.9061943359375,[10.9061943359375],,kWh,0.0001078134664250077,1.1885368227372451e-05,3.615697337000512e-05,0.00015585580802238527,,MB,2005.602304,7656.57088,0.0,7237.271552,6740.83328,s,10,8.10876580810547,0.8108765808105469,0.002536681049134044,0.8107609558105469,0.8140458618164063,0.8145027282714844,0.8148682214355469,"[0.8107168579101562, 0.8081912231445313, 0.8149595947265625, 0.8108050537109375, 0.8135609741210937, 0.8139443359375, 0.8076442260742187, 0.8114901123046875, 0.8100958862304688, 0.8073575439453125]",tokens/s,315.70772428043745,kWh,1.8344730342974458e-05,2.022029834320311e-06,1.2043047828876052e-05,3.240980800617082e-05,tokens/kWh,7898843.459710025,MB,2012.106752,7658.668032,0.0,7239.368704,6740.83584,s,10,47.05436669921875,4.705436669921875,0.017073674518933053,4.701096435546875,4.7311182128906255,4.734091333007813,4.736469829101562,"[4.67892236328125, 4.695111328125, 4.73045751953125, 4.71314208984375, 4.737064453125, 4.7112021484375, 4.697578125, 4.69641650390625, 4.689857421875, 4.70461474609375]",tokens/s,13.388768018642995,kWh,0.00010729437283576865,1.1836173904307607e-05,7.08672962771259e-05,0.00018999784301720212,tokens/kWh,331582.711674764,,s,630,47.05245947265626,0.07468644360739086,0.0008925641058429147,0.07452587127685548,0.07547093734741211,0.0761910270690918,0.078406254196167,"[0.07494911956787109, 0.07493405151367187, 0.07409276580810546, 0.07358675384521485, 0.07483580780029297, 0.07422383880615234, 0.07389389038085938, 0.07368089294433594, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,mixtral,mistralai/Mixtral-8x22B-v0.1,mistralai/Mixtral-8x22B-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,01-ai/Yi-6B,01-ai/Yi-6B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.747328,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,3548.95872,4490.985472,0.0,4112.515072,3976.487424,s,1,10.02813671875,10.02813671875,0.0,10.02813671875,10.02813671875,10.02813671875,10.02813671875,[10.02813671875],,kWh,8.055114220416802e-05,8.878118307045344e-06,2.702307717399998e-05,0.00011645233768521334,,MB,1479.049216,4690.214912,0.0,4282.384384,4102.199808,s,10,3.114191009521484,0.3114191009521484,0.0034445911652642505,0.31207496643066407,0.3150069061279297,0.31512971954345703,0.3152279702758789,"[0.3030219421386719, 0.3110392150878906, 0.30835064697265624, 0.31066754150390624, 0.312292724609375, 0.31525253295898437, 0.3149796142578125, 0.3143934326171875, 0.31233615112304686, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,microsoft/rho-math-1b-v0.1,microsoft/rho-math-1b-v0.1,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/pythia-2.7b,EleutherAI/pythia-2.7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,2169.253888,2486.10816,0.0,2107.63776,1984.899072,s,1,8.8144833984375,8.8144833984375,0.0,8.8144833984375,8.8144833984375,8.8144833984375,8.8144833984375,[8.8144833984375],,kWh,5.424428525838417e-05,5.9763018791294576e-06,1.7273902708003774e-05,7.749448984551741e-05,,MB,2199.273472,2823.749632,0.0,2415.919104,2256.887808,s,10,1.735695556640625,0.17356955566406249,0.0004596212890163055,0.17345442962646485,0.17400710449218748,0.17439400177001954,0.17470351959228517,"[0.17478089904785157, 0.17301289367675782, 0.17341500854492187, 0.17358131408691407, 0.17349385070800782, 0.17329776000976563, 0.17332313537597657, 0.17392112731933593, 0.1735089874267578, 0.17336058044433594]",tokens/s,1474.9130342620604,kWh,5.1528663482451505e-06,5.678961177005749e-07,3.42743938912333e-06,9.148201855069055e-06,tokens/kWh,27983641.3817377,MB,2214.412288,2865.692672,0.0,2457.862144,2339.93984,s,10,19.12052990722656,1.9120529907226562,0.012359207432674373,1.9121944580078125,1.9239779296875001,1.9306148803710939,1.9359244409179688,"[1.908995361328125, 1.9225030517578126, 1.9153935546875, 1.8950416259765626, 1.9156470947265625, 1.92163134765625, 1.905275146484375, 1.9004888916015625, 1.898302001953125, 1.9372518310546876]",tokens/s,32.94887762299375,kWh,5.549004872341853e-05,6.120737917687838e-06,3.159161640387469e-05,9.320240304498108e-05,tokens/kWh,675948.2367594655,,s,630,19.117521875381463,0.030345272818065826,0.0005584700915796066,0.030308752059936522,0.03076296901702881,0.031010713958740232,0.0323111268234253,"[0.03106768035888672, 0.03059779167175293, 0.030469600677490234, 0.030671743392944335, 0.030220287322998047, 0.03019699287414551, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen2-beta-72B,Qwen/Qwen2-beta-72B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 57, in launch
    raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
RuntimeError: Isolated process exited with non-zero code -9
"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,qwen2,Qwen/Qwen1.5-0.5B,Qwen/Qwen1.5-0.5B,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,falcon,tiiuae/falcon-40b,tiiuae/falcon-40b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gemma,google/gemma-7b,google/gemma-7b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,4757.827584,6022.889472,0.0,5637.144576,5630.431232,s,1,10.50012890625,10.50012890625,0.0,10.50012890625,10.50012890625,10.50012890625,10.50012890625,[10.50012890625],,kWh,9.738072601247344e-05,1.0734567727351781e-05,3.2436970394011944e-05,0.00014055226413383715,,MB,1777.958912,6402.473984,0.0,5987.36896,5890.097152,s,10,4.491590454101563,0.4491590454101563,0.0013524220186125102,0.44954603576660157,0.4504979553222656,0.45054560852050785,0.4505837310791016,"[0.44571966552734377, 0.4489716491699219, 0.4493219299316406, 0.4486640319824219, 0.4482449645996094, 0.45059326171875, 0.44991082763671875, 0.4499066162109375, 0.4497701416015625, 0.45048736572265624]",tokens/s,569.9540120943791,kWh,1.3168138995104238e-05,1.4517434524554863e-06,8.758787200260306e-06,2.337866964782003e-05,tokens/kWh,10950152.590221103,MB,1791.852544,6404.571136,0.0,5987.36896,5890.099712,s,10,24.35413720703125,2.4354137207031252,0.02174457604674989,2.4268200683593752,2.47755400390625,2.4777497802734376,2.477906401367188,"[2.477510498046875, 2.477945556640625, 2.432479736328125, 2.414346435546875, 2.42366259765625, 2.43176318359375, 2.421041015625, 2.425750244140625, 2.427889892578125, 2.421748046875]",tokens/s,25.86829476423059,kWh,7.058175825864265e-05,7.785789300999727e-06,4.695059070054302e-05,0.00012531813826018541,tokens/kWh,502720.5229397795,,s,630,24.35203998184201,0.03865403171720959,0.0005978179405530489,0.038428991317749024,0.03928697319030762,0.039560321998596194,0.04066831684112549,"[0.039469184875488283, 0.040134654998779294, 0.03933184051513672, 0.03913657760620117, 0.03913715362548828, 0.03892873764038086, 0.03908992004394531, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,dbrx,databricks/dbrx-base,databricks/dbrx-base,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 66, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 104, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 182, in run_model_loading_tracking
    backend.load()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 71, in load
    self.load_transformers_model()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 151, in load_transformers_model
    self.load_transformers_model_with_no_weights()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 133, in load_transformers_model_with_no_weights
    self.load_transformers_model_from_pretrained()
  File ""/workspace/optimum_benchmark/backends/pytorch/backend.py"", line 85, in load_transformers_model_from_pretrained
    self.pretrained_model = self.automodel_loader.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py"", line 564, in from_pretrained
    return model_class.from_pretrained(
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 4085, in from_pretrained
    dispatch_model(model, **device_map_kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/accelerate/big_modeling.py"", line 494, in dispatch_model
    model.to(device)
  File ""/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py"", line 2952, in to
    return super().to(*args, **kwargs)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1174, in to
    return self._apply(convert)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 780, in _apply
    module._apply(fn)
  [Previous line repeated 3 more times]
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 805, in _apply
    param_applied = fn(param)
  File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1160, in convert
    return t.to(
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.97 GiB. GPU 0 has a total capacity of 14.74 GiB of which 1.55 GiB is free. Process 221812 has 13.19 GiB memory in use. Of the allocated memory 13.09 GiB is allocated by PyTorch, and 880.50 KiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

"
4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,opt,facebook/opt-350m,facebook/opt-350m,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.0,,0.34.2,,,,1.22.0,,,,0.12.0,,MB,923.21792,622.723072,0.0,236.978176,214.714368,s,1,7.86119873046875,7.86119873046875,0.0,7.86119873046875,7.86119873046875,7.86119873046875,7.86119873046875,[7.86119873046875],,kWh,2.071173705415579e-05,2.2772688461625287e-06,6.663616441998643e-06,2.9652622342316963e-05,,MB,1286.889472,752.746496,0.0,337.641472,300.087808,s,10,0.29704732704162595,0.029704732704162594,0.0007060224929661715,0.029473519325256346,0.029859769439697266,0.030834332275390623,0.03161398254394531,"[0.031808895111083986, 0.029472095489501953, 0.029474943161010743, 0.0295199031829834, 0.029419200897216797, 0.02943187141418457, 0.02953798484802246, 0.029325376510620116, 0.029643199920654298, 0.029413856506347657]",tokens/s,8618.15531382062,kWh,8.99496092833406e-07,9.914569087777779e-08,5.942791079015775e-07,1.5929208916127613e-06,tokens/kWh,160711056.86912766,MB,1319.759872,794.689536,0.0,379.584512,300.090368,s,10,10.570111938476563,1.0570111938476563,0.07183341859600346,1.0344741821289063,1.0674691162109373,1.1692772216796872,1.2507237060546874,"[1.2710853271484375, 1.0334930419921875, 1.0194849243164064, 1.035455322265625, 1.0202749633789063, 1.0448450927734374, 1.02953466796875, 1.04273828125, 1.04194921875, 1.0312510986328125]",tokens/s,59.60201780898073,kWh,3.0777510658418966e-05,3.394321230536434e-06,1.2056981013097797e-05,4.622881290205318e-05,tokens/kWh,1362786.4538395265,,s,630,10.564326416969294,0.016768772090427462,0.0014059454077514333,0.01637451171875,0.017065500831604005,0.021667848014831542,0.021929545516967772,"[0.0214300479888916, 0.021561376571655272, 0.0219015998840332, 0.02165350341796875, 0.021763999938964843, 0.021753087997436523, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,stablelm,stabilityai/stablelm-2-12b,stabilityai/stablelm-2-12b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
4bit-awq-gemv-eager,pytorch,2.3.1+cu121,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt_neox,EleutherAI/polyglot-ko-12.8b,EleutherAI/polyglot-ko-12.8b,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.75552,Linux,x86_64,Linux-5.10.220-209.869.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.43.4,,0.33.0,,,,1.21.2,,,,0.12.0,,MB,7393.939456,7808.679936,0.0,7430.209536,7414.23104,s,1,11.698818359375,11.698818359375,0.0,11.698818359375,11.698818359375,11.698818359375,11.698818359375,[11.698818359375],,kWh,0.00013635895708749785,1.503068300448296e-05,4.451781339201433e-05,0.00019590745348399514,,MB,1706.82368,8584.626176,0.0,8176.795648,8052.041728,s,10,7.289791870117187,0.7289791870117187,0.0011240875603674401,0.7291243591308594,0.7299213500976562,0.7300348937988281,0.7301257287597657,"[0.7261265258789062, 0.7281160888671875, 0.7288939819335938, 0.7288358154296875, 0.7288203125, 0.729354736328125, 0.729755859375, 0.729843994140625, 0.7301484375, 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4bit-awq-gemv-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,gpt2,openai-community/gpt2,openai-community/gpt2,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,awq,4,gemv,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Traceback (most recent call last):
  File ""/workspace/llm_perf/update_llm_perf_cuda_pytorch.py"", line 153, in benchmark_cuda_pytorch
    benchmark_report = Benchmark.launch(benchmark_config)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 47, in launch
    report = launcher.launch(worker=cls.run, worker_args=[config])
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 67, in launch
    raise ChildProcessError(response[""traceback""])
ChildProcessError: Traceback (most recent call last):
  File ""/workspace/optimum_benchmark/launchers/process/launcher.py"", line 103, in target
    report = worker(*worker_args)
  File ""/workspace/optimum_benchmark/benchmark/base.py"", line 68, in run
    report = scenario.run(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 89, in run
    self.run_model_loading_tracking(backend)
  File ""/workspace/optimum_benchmark/scenarios/inference/scenario.py"", line 178, in run_model_loading_tracking
    context_stack.enter_context(energy_tracker.track())
  File ""/usr/lib/python3.10/contextlib.py"", line 492, in enter_context
    result = _cm_type.__enter__(cm)
  File ""/usr/lib/python3.10/contextlib.py"", line 135, in __enter__
    return next(self.gen)
  File ""/workspace/optimum_benchmark/trackers/energy.py"", line 173, in track
    self.emission_tracker.start_task()
  File ""/usr/local/lib/python3.10/dist-packages/codecarbon/emissions_tracker.py"", line 547, in start_task
    if self._scheduler:
AttributeError: 'EmissionsTracker' object has no attribute '_scheduler'

"
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