IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
9c7ccb4
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": "warn", | |
"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": "d9ffe3b3809e940419695c4a39c0122d5a6e1611", | |
"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": 942.61248, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.284140551999997, | |
"mean": 4.284140551999997, | |
"stdev": 0.0, | |
"p50": 4.284140551999997, | |
"p90": 4.284140551999997, | |
"p95": 4.284140551999997, | |
"p99": 4.284140551999997, | |
"values": [ | |
4.284140551999997 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.749221073333243e-05, | |
"ram": 1.984930662704018e-06, | |
"gpu": 0, | |
"total": 4.947714139603645e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 953.491456, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 22, | |
"total": 1.0310958670000332, | |
"mean": 0.046867993954546966, | |
"stdev": 0.001560405512053711, | |
"p50": 0.047227585499996394, | |
"p90": 0.04804899249998584, | |
"p95": 0.04806964409999637, | |
"p99": 0.04848656992998599, | |
"values": [ | |
0.04685329799997362, | |
0.04710346799998888, | |
0.04535296500000641, | |
0.04803701800000226, | |
0.04801351400004705, | |
0.046756677000018954, | |
0.04589039400002548, | |
0.04502815600000076, | |
0.04859712799998306, | |
0.04748244800003931, | |
0.047549152000044614, | |
0.04677037400000472, | |
0.04766028199998118, | |
0.04749123499999541, | |
0.04807066099999702, | |
0.04805032299998402, | |
0.04685513199996194, | |
0.046299491000013404, | |
0.04782436899995446, | |
0.04713276299997915, | |
0.04732240800001364, | |
0.04095461100001785 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 21.336522339100103 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.5561870632478565e-06, | |
"ram": 6.503609671792756e-08, | |
"gpu": 0.0, | |
"total": 1.6212231599657839e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 616818.2300215259 | |
} | |
} | |
} | |
} |