IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
cacab61
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": 16766.783488, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.8.0-1015-azure-x86_64-with-glibc2.39", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.5.0.dev0", | |
"optimum_benchmark_commit": "08c9f59440cf4e5a5d6711ec19e8329ab2de652d", | |
"transformers_version": "4.45.2", | |
"transformers_commit": null, | |
"accelerate_version": "1.0.1", | |
"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 | |
}, | |
"print_report": true, | |
"log_report": true | |
}, | |
"report": { | |
"load": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 947.167232, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
1.2332180920000155 | |
], | |
"count": 1, | |
"total": 1.2332180920000155, | |
"mean": 1.2332180920000155, | |
"p50": 1.2332180920000155, | |
"p90": 1.2332180920000155, | |
"p95": 1.2332180920000155, | |
"p99": 1.2332180920000155, | |
"stdev": 0, | |
"stdev_": 0 | |
}, | |
"throughput": null, | |
"energy": null, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 955.424768, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.03658645500001967, | |
0.0361032659999978, | |
0.03610821500001293, | |
0.036316623999994135, | |
0.035721485999999913, | |
0.03647771300001068, | |
0.03574233499995216, | |
0.0360932980000257, | |
0.03616041300000461, | |
0.03680985200003306, | |
0.03691355400002294, | |
0.036534498999969856, | |
0.036020262000022285, | |
0.03553399699995907, | |
0.035940604000018084, | |
0.036153218999970704, | |
0.03606949400000303, | |
0.03632082100000389, | |
0.0355914040000016, | |
0.035376623999979984, | |
0.03604786400001103, | |
0.036388205999969614, | |
0.035578268999984175, | |
0.032220391999999265, | |
0.03168374300003052, | |
0.03233158899996624, | |
0.03141736700001729, | |
0.0313566550000246, | |
0.03159928499997022 | |
], | |
"count": 29, | |
"total": 1.021197504999975, | |
"mean": 0.03521370706896466, | |
"p50": 0.03604786400001103, | |
"p90": 0.03654489019997982, | |
"p95": 0.0367204932000277, | |
"p99": 0.03688451744002577, | |
"stdev": 0.0018028598173541696, | |
"stdev_": 5.11976717993178 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 28.39803256276141 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.214893873737353e-06, | |
"ram": 5.0801180209474435e-08, | |
"gpu": 0.0, | |
"total": 1.2656950539468274e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 790079.7248766136 | |
} | |
} | |
} | |
} |