IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
c595d97
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": "04f11cfa2362366194d86281303d45b96dbfadaa", | |
"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": 970.641408, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.374531642000022, | |
"mean": 4.374531642000022, | |
"stdev": 0.0, | |
"p50": 4.374531642000022, | |
"p90": 4.374531642000022, | |
"p95": 4.374531642000022, | |
"p99": 4.374531642000022, | |
"values": [ | |
4.374531642000022 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.246312672222252e-05, | |
"ram": 2.1927366237281906e-06, | |
"gpu": 0, | |
"total": 5.465586334595071e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 884.330496, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 24, | |
"total": 1.013852704000044, | |
"mean": 0.0422438626666685, | |
"stdev": 0.0015488013381707879, | |
"p50": 0.042511935000021595, | |
"p90": 0.04400915610001448, | |
"p95": 0.044039830000039616, | |
"p99": 0.04410081451999019, | |
"values": [ | |
0.04302389000002904, | |
0.04244541099996013, | |
0.0409701959999893, | |
0.043948016000001644, | |
0.04267726400001948, | |
0.04254955500005053, | |
0.042253924000021925, | |
0.0415809159999867, | |
0.04171658000001344, | |
0.04403535900001998, | |
0.042727135999996335, | |
0.042585431999953016, | |
0.04105898200003821, | |
0.04269651999999269, | |
0.04247431499999266, | |
0.043359907999956704, | |
0.042463243999975475, | |
0.04210849200001121, | |
0.041437449000000015, | |
0.04404061900004308, | |
0.0441187949999744, | |
0.04316444300002331, | |
0.03963064499998836, | |
0.03678561300000638 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 23.672077714356977 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.4313296763888496e-06, | |
"ram": 5.981806883407663e-08, | |
"gpu": 0.0, | |
"total": 1.4911477452229262e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 670624.35845383 | |
} | |
} | |
} | |
} |