IlyasMoutawwakil's picture
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
d7f9ea9 verified
raw
history blame
6.74 kB
{
"config": {
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "ac20e608e7d228c8f586461f4e0b478593db397e",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 947.822592,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 1,
"total": 4.301356989999988,
"mean": 4.301356989999988,
"stdev": 0.0,
"p50": 4.301356989999988,
"p90": 4.301356989999988,
"p95": 4.301356989999988,
"p99": 4.301356989999988,
"values": [
4.301356989999988
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 4.857708558888906e-05,
"ram": 2.03029271404623e-06,
"gpu": 0,
"total": 5.060737830293529e-05
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 958.570496,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 22,
"total": 1.004504519999955,
"mean": 0.04565929636363431,
"stdev": 0.0012997398896746047,
"p50": 0.04595714749999047,
"p90": 0.04676499919998491,
"p95": 0.04691551104996563,
"p99": 0.047140952870005325,
"values": [
0.04638091700002178,
0.0450765790000105,
0.04397162199995819,
0.04692326599996477,
0.04673648900001126,
0.04597786599998699,
0.045125890999997864,
0.04379716800002598,
0.0471988190000161,
0.0462776040000108,
0.0461255010000059,
0.04552580600000056,
0.046768166999981986,
0.045789124999998876,
0.04622102899998026,
0.0464301389999946,
0.04567994199999248,
0.04500358299998197,
0.04651159899998447,
0.04590512200002195,
0.04593642899999395,
0.041141857000013715
]
},
"throughput": {
"unit": "samples/s",
"value": 21.90134495363046
},
"energy": {
"unit": "kWh",
"cpu": 1.535887824572653e-06,
"ram": 6.418835774932102e-08,
"gpu": 0.0,
"total": 1.600076182321974e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 624970.2426973416
}
}
}
}