IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
c32d4e4
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.0+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"model_type": "bert", | |
"model": "google-bert/bert-base-uncased", | |
"processor": "google-bert/bert-base-uncased", | |
"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": "789d9c2ca36ce9adc1c7d5a4e3c06eba2fa75fdc", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.1", | |
"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": 970.5472, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.28281407999998, | |
"mean": 4.28281407999998, | |
"stdev": 0.0, | |
"p50": 4.28281407999998, | |
"p90": 4.28281407999998, | |
"p95": 4.28281407999998, | |
"p99": 4.28281407999998, | |
"values": [ | |
4.28281407999998 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.0212701116665755e-05, | |
"ram": 2.098666912030178e-06, | |
"gpu": 0, | |
"total": 5.231136802869593e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 884.215808, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 26, | |
"total": 1.0341205529999797, | |
"mean": 0.03977386742307614, | |
"stdev": 0.0018043403859112313, | |
"p50": 0.03924061650002386, | |
"p90": 0.04318336549999913, | |
"p95": 0.04360114999998643, | |
"p99": 0.04437285599996699, | |
"values": [ | |
0.04462695999995958, | |
0.043610543999989204, | |
0.04357296799997812, | |
0.039478532000032374, | |
0.03860093599996617, | |
0.03871390000000474, | |
0.0392947849999814, | |
0.03817620600000282, | |
0.03883208199999899, | |
0.039005660999976044, | |
0.03921898999999485, | |
0.03926224300005288, | |
0.039563240999996196, | |
0.0404049389999841, | |
0.03926302500002521, | |
0.038998456000001624, | |
0.03909311500001422, | |
0.039568309999992834, | |
0.03900799599995253, | |
0.04091287599999305, | |
0.0396470790000194, | |
0.038668213999983436, | |
0.042793763000020135, | |
0.038368528000034985, | |
0.03787629900000411, | |
0.03756090500002074 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 25.142136402350868 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.4739706621398867e-06, | |
"ram": 6.159952906234989e-08, | |
"gpu": 0.0, | |
"total": 1.5355701912022367e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 651223.8943744244 | |
} | |
} | |
} | |
} |