IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
1785bea
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+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-6.5.0-1023-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": "77ca106f4cf33f416814fc4a120313d806701176", | |
"transformers_version": "4.42.4", | |
"transformers_commit": null, | |
"accelerate_version": "0.32.1", | |
"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": 965.906432, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.359886366000012, | |
"mean": 4.359886366000012, | |
"stdev": 0.0, | |
"p50": 4.359886366000012, | |
"p90": 4.359886366000012, | |
"p95": 4.359886366000012, | |
"p99": 4.359886366000012, | |
"values": [ | |
4.359886366000012 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.127856201595731e-05, | |
"ram": 2.1432234618202984e-06, | |
"gpu": 0, | |
"total": 5.342178547777761e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 879.988736, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 24, | |
"total": 1.0249230709999324, | |
"mean": 0.042705127958330515, | |
"stdev": 0.0014220541274808885, | |
"p50": 0.042931369000001496, | |
"p90": 0.04366938919995959, | |
"p95": 0.043918060549981416, | |
"p99": 0.04477267841999037, | |
"values": [ | |
0.04290568499999381, | |
0.043613536999998814, | |
0.04184029800001099, | |
0.0436083469999744, | |
0.04342525499998828, | |
0.042336615000010624, | |
0.04306619499999442, | |
0.04244083000003229, | |
0.04116655199999286, | |
0.04396175599998742, | |
0.042518103000020346, | |
0.042409770999995544, | |
0.04366690699998799, | |
0.042144696999969256, | |
0.042924061000007896, | |
0.043102723999993486, | |
0.04300453100000823, | |
0.042462250000028234, | |
0.04208378300000959, | |
0.042938676999995096, | |
0.04367045299994743, | |
0.043579132999980175, | |
0.04501490199999125, | |
0.03703800900001397 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 23.416391609357756 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.4461934811784406e-06, | |
"ram": 6.043797380129945e-08, | |
"gpu": 0.0, | |
"total": 1.5066314549797402e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 663732.325974468 | |
} | |
} | |
} | |
} |