IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
6c89b69
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"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": {}, | |
"hub_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, | |
"latency": true, | |
"memory": 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", | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16757.354496, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.1", | |
"optimum_benchmark_commit": "d8c451da5aac8852b6a6e83b9b56a2aa6f007535", | |
"transformers_version": "4.40.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.27.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.3", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 865.869824, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 25, | |
"total": 1.025874817999977, | |
"mean": 0.04103499271999908, | |
"stdev": 0.0014442037709258423, | |
"p50": 0.04071785399997907, | |
"p90": 0.042030759400006446, | |
"p95": 0.043290524200017444, | |
"p99": 0.04603069660000528, | |
"values": [ | |
0.04080918200003225, | |
0.04119730900004015, | |
0.04066244899996718, | |
0.03983944299994846, | |
0.039448882999977286, | |
0.039785432000030596, | |
0.040319178000004285, | |
0.040071074999957546, | |
0.04006311000000551, | |
0.04023639399997592, | |
0.04071785399997907, | |
0.040188154000020404, | |
0.04100975799997286, | |
0.040688017000036325, | |
0.04028128800001696, | |
0.041153025999960846, | |
0.04125832500000115, | |
0.04105082399996718, | |
0.04098592399998324, | |
0.04117477600004804, | |
0.0406611880000014, | |
0.04681894899999861, | |
0.04353456400002642, | |
0.04160535100004381, | |
0.042314364999981535 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 24.369445044707746 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.627800586046996e-06, | |
"ram": 6.802621631720739e-08, | |
"gpu": 0.0, | |
"total": 1.6958268023642034e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 589682.8606588065 | |
} | |
} | |
} | |
} |