IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
222231a
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"library": "transformers", | |
"model_type": "roberta", | |
"model": "FacebookAI/roberta-base", | |
"processor": "FacebookAI/roberta-base", | |
"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": null, | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16766.7712, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.4.0", | |
"optimum_benchmark_commit": "a2f76ceb4d3497d8b655e86e8345771442b69562", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.2", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.3", | |
"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": 941.969408, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.558527577000007, | |
"mean": 4.558527577000007, | |
"stdev": 0.0, | |
"p50": 4.558527577000007, | |
"p90": 4.558527577000007, | |
"p95": 4.558527577000007, | |
"p99": 4.558527577000007, | |
"values": [ | |
4.558527577000007 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.836422340555468e-05, | |
"ram": 2.0225337612516256e-06, | |
"gpu": 0, | |
"total": 5.0386757166806306e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 949.702656, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 27, | |
"total": 1.004223551999928, | |
"mean": 0.037193464888886224, | |
"stdev": 0.0019182890466073984, | |
"p50": 0.037539100999993025, | |
"p90": 0.038704262400005976, | |
"p95": 0.03986936219996551, | |
"p99": 0.04037459481998553, | |
"values": [ | |
0.03770899799997096, | |
0.03737429299997075, | |
0.038284754000017074, | |
0.036765656000000035, | |
0.03842475600004036, | |
0.03739304800001264, | |
0.036988762999953906, | |
0.036729599000011603, | |
0.037218082000038066, | |
0.03550815699998111, | |
0.03690160000002152, | |
0.04018900799997027, | |
0.03832470899999407, | |
0.03771184400000038, | |
0.03748958799997126, | |
0.037749935000022106, | |
0.037539100999993025, | |
0.03811794300003157, | |
0.03912352199995439, | |
0.03821026600002142, | |
0.037993249999999534, | |
0.038231495000047744, | |
0.040439800999990894, | |
0.035883558000023186, | |
0.03294019799994885, | |
0.03249303299998019, | |
0.03248859499996115 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 26.886443706910725 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.2712145005376729e-06, | |
"ram": 5.315654987632171e-08, | |
"gpu": 0.0, | |
"total": 1.3243710504139945e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 755075.3995169277 | |
} | |
} | |
} | |
} |