IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
b5dcf1e
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.0+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": "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": "a24cd34532cdb9c93a3944992e210e603d844e1c", | |
"transformers_version": "4.44.0", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.0", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.8", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"load": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 943.32928, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.268584419999968, | |
"mean": 4.268584419999968, | |
"stdev": 0.0, | |
"p50": 4.268584419999968, | |
"p90": 4.268584419999968, | |
"p95": 4.268584419999968, | |
"p99": 4.268584419999968, | |
"values": [ | |
4.268584419999968 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.846056257777794e-05, | |
"ram": 2.0254242268834563e-06, | |
"gpu": 0, | |
"total": 5.04859868046614e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 954.208256, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 23, | |
"total": 1.0146075920000612, | |
"mean": 0.044113373565220056, | |
"stdev": 0.0015217590893052328, | |
"p50": 0.044732799999962936, | |
"p90": 0.04544397200003232, | |
"p95": 0.04576572260003218, | |
"p99": 0.045853538459981566, | |
"values": [ | |
0.04497412199998507, | |
0.04402148899998792, | |
0.04279391099998975, | |
0.04580025900003193, | |
0.04500898700001699, | |
0.045161712999970405, | |
0.04388663700001416, | |
0.042861557000037465, | |
0.04586856599996736, | |
0.045246653000049264, | |
0.04480087799998955, | |
0.044713664999960656, | |
0.0447527879999825, | |
0.044734293000033176, | |
0.04540028000002394, | |
0.04545489500003441, | |
0.0436811319999606, | |
0.044732799999962936, | |
0.04336714400000119, | |
0.04354344400002219, | |
0.04265432900001542, | |
0.04235216400002173, | |
0.03879588600000261 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 22.668862505415404 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.5415816365384648e-06, | |
"ram": 6.442632009818517e-08, | |
"gpu": 0.0, | |
"total": 1.6060079566366499e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 622661.9213607323 | |
} | |
} | |
} | |
} |