diff --git "a/perf-df-awq-1xT4.csv" "b/perf-df-awq-1xT4.csv" --- "a/perf-df-awq-1xT4.csv" +++ "b/perf-df-awq-1xT4.csv" @@ -5462,7 +5462,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -5488,11 +5488,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -5507,7 +5507,7 @@ ChildProcessError: Traceback (most recent call last): 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 25305 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) +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 24705 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): @@ -6201,7 +6201,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -6223,9 +6223,9 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2982, in _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) @@ -6237,19 +6237,19 @@ ChildProcessError: Traceback (most recent call last): return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/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 + 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 734, in forward + 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 556, in forward + 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( @@ -9073,7 +9073,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -9099,11 +9099,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -9118,7 +9118,7 @@ ChildProcessError: Traceback (most recent call last): 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 25790 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) +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 25221 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): @@ -9812,7 +9812,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -9834,9 +9834,9 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2982, in _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) @@ -9848,19 +9848,19 @@ ChildProcessError: Traceback (most recent call last): return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/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 + 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 734, in forward + 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 556, in forward + 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( @@ -11682,7 +11682,7 @@ 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-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 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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'],1,16106127360,0.5.0,,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 @@ -11708,11 +11708,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -11727,7 +11727,7 @@ ChildProcessError: Traceback (most recent call last): 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 24240 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) +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 23715 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 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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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -13567,11 +13567,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -13586,7 +13586,7 @@ ChildProcessError: Traceback (most recent call last): 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 23703 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) +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 23227 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. 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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-5.10.224-212.876.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 @@ -15370,11 +15370,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -15389,7 +15389,7 @@ ChildProcessError: Traceback (most recent call last): 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 23119 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) +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 22717 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,2.3.1+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,gemm,,,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,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,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'],1,16106127360,0.5.0,,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 @@ -17839,11 +17839,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -17858,7 +17858,7 @@ ChildProcessError: Traceback (most recent call last): 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 21788 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) +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 21777 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. 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Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -19533,7 +19533,7 @@ ChildProcessError: Traceback (most recent call last): 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 22525 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) +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 22218 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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-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): +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'],1,16106127360,0.5.0,,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 @@ -21141,11 +21141,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -21160,7 +21160,7 @@ ChildProcessError: Traceback (most recent call last): 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 20815 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) +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 20726 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 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0.053700607299804685, 0.05428220748901367, 0.05416988754272461, 0.05454207992553711, 0.05455257415771484, 0.05427609634399414, 0.05433865737915039, 0.054559070587158205, 0.05477024078369141, 0.05437971115112305, 0.053898048400878903, 0.053771488189697264, 0.053992225646972654, 0.053945343017578126]",tokens/s,18.581177417180783,, @@ -23242,7 +23242,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -23268,11 +23268,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -23287,7 +23287,7 @@ ChildProcessError: Traceback (most recent call last): 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 26808 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) +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 26246 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): @@ -23993,7 +23993,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -24015,9 +24015,9 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2982, in _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) @@ -24029,19 +24029,19 @@ ChildProcessError: Traceback (most recent call last): return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/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 + 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 734, in forward + 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 556, in forward + 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( @@ -28323,7 +28323,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -28349,11 +28349,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -28368,7 +28368,7 @@ ChildProcessError: Traceback (most recent call last): 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 26286 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) +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 25696 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): @@ -29080,7 +29080,7 @@ ChildProcessError: Traceback (most recent call last): 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-5.10.224-212.876.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.4.0,,4.44.2,,0.34.2,,,,1.22.0,,,,0.12.0,,"Traceback (most recent call last): +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'],1,16106127360,0.5.0,,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 @@ -29102,9 +29102,9 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2982, in _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) @@ -29116,19 +29116,19 @@ ChildProcessError: Traceback (most recent call last): return self._call_impl(*args, **kwargs) File ""/usr/local/lib/python3.10/dist-packages/torch/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 + 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 734, in forward + 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 556, in forward + 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( @@ -30958,7 +30958,7 @@ 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-1.3b,EleutherAI/pythia-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,8,33163.75552,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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Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -31003,7 +31003,7 @@ ChildProcessError: Traceback (most recent call last): 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 24785 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) +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 24238 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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-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): +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'],1,16106127360,0.5.0,,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 @@ -32669,11 +32669,11 @@ ChildProcessError: Traceback (most recent call last): 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 + 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 2905, in to + 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) @@ -32688,7 +32688,7 @@ ChildProcessError: Traceback (most recent call last): 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 21283 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) +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 21251 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 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