IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
4dd7cc5
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-6.5.0-1024-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": "9d11320bd2f1225453b4b1dfc080b74581b546cc", | |
"transformers_version": "4.43.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.29.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.7", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"load": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 970.817536, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.416241393000007, | |
"mean": 4.416241393000007, | |
"stdev": 0.0, | |
"p50": 4.416241393000007, | |
"p90": 4.416241393000007, | |
"p95": 4.416241393000007, | |
"p99": 4.416241393000007, | |
"values": [ | |
4.416241393000007 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.089927911758423e-05, | |
"ram": 2.127365547322597e-06, | |
"gpu": 0, | |
"total": 5.302664466490683e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 884.322304, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 26, | |
"total": 1.0246123879999232, | |
"mean": 0.039408168769227814, | |
"stdev": 0.0011472143593432912, | |
"p50": 0.039210776499999156, | |
"p90": 0.04059045949998108, | |
"p95": 0.04181584900000246, | |
"p99": 0.04281624174997489, | |
"values": [ | |
0.039482238000005054, | |
0.03882847900001707, | |
0.03946094799999855, | |
0.038494606999961434, | |
0.04068622299996605, | |
0.04302419199996166, | |
0.04013869100003831, | |
0.0394398889999934, | |
0.03913390799999661, | |
0.03888882099994362, | |
0.039237592000006316, | |
0.039183960999991996, | |
0.038812940000013896, | |
0.03931148999998868, | |
0.04049469599999611, | |
0.039440319999982876, | |
0.03890355900000486, | |
0.039811331000009886, | |
0.03960306200002606, | |
0.03893261299998585, | |
0.038389489999985926, | |
0.03845609499995817, | |
0.03794924600003924, | |
0.0384691190000126, | |
0.042192391000014595, | |
0.037846487000024354 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 25.375449589042006 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.4885056656574519e-06, | |
"ram": 6.220632367103462e-08, | |
"gpu": 0.0, | |
"total": 1.5507119893284864e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 644865.0728708402 | |
} | |
} | |
} | |
} |