IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
840c312
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"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": "fa9ef035a540e4a60f1b37660f7a300a32d1f25b", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.0", | |
"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": 945.778688, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.2878193120000105, | |
"mean": 4.2878193120000105, | |
"stdev": 0.0, | |
"p50": 4.2878193120000105, | |
"p90": 4.2878193120000105, | |
"p95": 4.2878193120000105, | |
"p99": 4.2878193120000105, | |
"values": [ | |
4.2878193120000105 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.7831459977776574e-05, | |
"ram": 1.9991276502988377e-06, | |
"gpu": 0, | |
"total": 4.983058762807541e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 953.643008, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 29, | |
"total": 1.0346736239997085, | |
"mean": 0.03567840082757616, | |
"stdev": 0.0012598252111618762, | |
"p50": 0.03574704299995801, | |
"p90": 0.03734033499998759, | |
"p95": 0.03767801179998287, | |
"p99": 0.03817361203997507, | |
"values": [ | |
0.03514533399999209, | |
0.0352040939999938, | |
0.034036050999986855, | |
0.03337506099995835, | |
0.035146465999957854, | |
0.03458083399999623, | |
0.034779494000019895, | |
0.03467107199998054, | |
0.03413930300001766, | |
0.03418238299997256, | |
0.03382720199999767, | |
0.03574704299995801, | |
0.035826401000008445, | |
0.03834124999997357, | |
0.03728011499998729, | |
0.03607710699998279, | |
0.03505263199997444, | |
0.03696140199997444, | |
0.03625906600001372, | |
0.036005304000013894, | |
0.03571582499995429, | |
0.035967042999971, | |
0.0362278780000338, | |
0.03454364499998519, | |
0.037205426000014086, | |
0.03703758400001789, | |
0.03758121499998879, | |
0.036014851000004455, | |
0.03774254299997892 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 28.0281620477533 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.1715973534313737e-06, | |
"ram": 4.896333852534292e-08, | |
"gpu": 0.0, | |
"total": 1.2205606919567168e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 819295.5963516001 | |
} | |
} | |
} | |
} |