IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
fce8cdd
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": null, | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16766.7712, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.4.0", | |
"optimum_benchmark_commit": "ac20cfed675e8f5ef3270e658accc99c6fb3141d", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.2", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.3", | |
"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": 941.797376, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.3250722660000065, | |
"mean": 4.3250722660000065, | |
"stdev": 0.0, | |
"p50": 4.3250722660000065, | |
"p90": 4.3250722660000065, | |
"p95": 4.3250722660000065, | |
"p99": 4.3250722660000065, | |
"values": [ | |
4.3250722660000065 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.756708891666759e-05, | |
"ram": 1.989198114812699e-06, | |
"gpu": 0, | |
"total": 4.955628703148029e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 949.661696, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 29, | |
"total": 1.0182623769998713, | |
"mean": 0.035112495758616254, | |
"stdev": 0.0008329883658867583, | |
"p50": 0.0352135100000055, | |
"p90": 0.03612944720000542, | |
"p95": 0.0363689675999808, | |
"p99": 0.0364826607199916, | |
"values": [ | |
0.03540295900000956, | |
0.03465645599999334, | |
0.035258778000013535, | |
0.0332949539999845, | |
0.035728822999999466, | |
0.03526297700000214, | |
0.03516389999998637, | |
0.034759468999993715, | |
0.03516490200001954, | |
0.03526752499999475, | |
0.033908877999976994, | |
0.036472201999970366, | |
0.03648672799999986, | |
0.034899381999991874, | |
0.034640484999954424, | |
0.035173036999992746, | |
0.03356310799995299, | |
0.036214115999996466, | |
0.034355417999961446, | |
0.03500489100002824, | |
0.03555151599999817, | |
0.03556198400002586, | |
0.035709410999970714, | |
0.03395801100003837, | |
0.03568045599996594, | |
0.0360818800000402, | |
0.03610828000000765, | |
0.0352135100000055, | |
0.0337183409999966 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 28.47988952065904 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.1700290240196188e-06, | |
"ram": 4.8925806694026314e-08, | |
"gpu": 0.0, | |
"total": 1.218954830713645e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 820374.943191737 | |
} | |
} | |
} | |
} |