IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
be72313
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": 16766.767104, | |
"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": "0.4.0", | |
"optimum_benchmark_commit": "4a884fa4ee31f882ca8d7e63513b8fff8137b30d", | |
"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": 941.850624, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.424005781000005, | |
"mean": 4.424005781000005, | |
"stdev": 0.0, | |
"p50": 4.424005781000005, | |
"p90": 4.424005781000005, | |
"p95": 4.424005781000005, | |
"p99": 4.424005781000005, | |
"values": [ | |
4.424005781000005 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.8469104638888584e-05, | |
"ram": 2.0268762556376587e-06, | |
"gpu": 0, | |
"total": 5.0495980894526245e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 950.501376, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 28, | |
"total": 1.032786222000027, | |
"mean": 0.03688522221428668, | |
"stdev": 0.0009454723326212732, | |
"p50": 0.03709527850000427, | |
"p90": 0.03796812990001399, | |
"p95": 0.03816942334997009, | |
"p99": 0.0382640693199761, | |
"values": [ | |
0.036497419999989233, | |
0.03635020399997302, | |
0.03769920899998169, | |
0.03464107400003513, | |
0.03829503399998657, | |
0.03701072000001204, | |
0.038149131000011494, | |
0.0371502010000313, | |
0.03717115000000604, | |
0.03527305699998351, | |
0.03605781599998181, | |
0.03789055800001506, | |
0.03678305400001136, | |
0.03658831900003179, | |
0.036544717999959175, | |
0.0371922799999993, | |
0.03474257400000624, | |
0.03596148600001925, | |
0.03660394800004951, | |
0.03727417300001434, | |
0.03720034499997382, | |
0.03781610699996918, | |
0.03732494799999131, | |
0.03600795200003404, | |
0.03769891799998959, | |
0.038180349999947794, | |
0.03764112000004616, | |
0.03704035599997724 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 27.111128521618937 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.2277018286457777e-06, | |
"ram": 5.1336173710205736e-08, | |
"gpu": 0.0, | |
"total": 1.2790380023559833e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 781837.5983809736 | |
} | |
} | |
} | |
} |