IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
74cb0d1
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "multiple-choice", | |
"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": 16766.767104, | |
"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": "0.5.0", | |
"optimum_benchmark_commit": "d070104543478b722db56ba828611524c5fbdbb5", | |
"transformers_version": "4.45.1", | |
"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": 944.431104, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.296686646000012, | |
"mean": 4.296686646000012, | |
"stdev": 0.0, | |
"p50": 4.296686646000012, | |
"p90": 4.296686646000012, | |
"p95": 4.296686646000012, | |
"p99": 4.296686646000012, | |
"values": [ | |
4.296686646000012 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.766464313333138e-05, | |
"ram": 1.993239289827361e-06, | |
"gpu": 0, | |
"total": 4.9657882423158736e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 955.179008, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 26, | |
"total": 1.0316134209999746, | |
"mean": 0.03967743926922979, | |
"stdev": 0.0009065294383159235, | |
"p50": 0.03940002950000121, | |
"p90": 0.0398941905000072, | |
"p95": 0.0416233614999868, | |
"p99": 0.04285773649999669, | |
"values": [ | |
0.039871328000003814, | |
0.039440378999984205, | |
0.03913100900001609, | |
0.039353376999997636, | |
0.03940822999999227, | |
0.039386197999988326, | |
0.03945029900000918, | |
0.039148332000024766, | |
0.039322269000024335, | |
0.03938272199997073, | |
0.03935071199998674, | |
0.03980399499999976, | |
0.039383063000002494, | |
0.04219213099997887, | |
0.03912168200002952, | |
0.03991705300001058, | |
0.03975044200001321, | |
0.039559493000012935, | |
0.039848495000001094, | |
0.03938470599996435, | |
0.039465968000001794, | |
0.04307960500000263, | |
0.03979586699995252, | |
0.038779911000005995, | |
0.03939182900001015, | |
0.03889432599999054 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 25.203239382827533 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.5173598386751868e-06, | |
"ram": 6.344978397007444e-08, | |
"gpu": 0.0, | |
"total": 1.5808096226452612e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 632587.2424325463 | |
} | |
} | |
} | |
} |