IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
b1b6e8f
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-classification", | |
"library": "transformers", | |
"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": {}, | |
"hub_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, | |
"latency": true, | |
"memory": 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", | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16757.354496, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": "c78698d47f8aff03fc8162bfacd2946f5882e025", | |
"transformers_version": "4.40.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.27.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.3", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 936.767488, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 28, | |
"total": 1.0101344830001722, | |
"mean": 0.036076231535720434, | |
"stdev": 0.000694139201075085, | |
"p50": 0.03610273799998254, | |
"p90": 0.0368631685000139, | |
"p95": 0.0370095093000117, | |
"p99": 0.03728659555002707, | |
"values": [ | |
0.036092067999959454, | |
0.03657427499996402, | |
0.03627225300004966, | |
0.037370143000032385, | |
0.03492255499998009, | |
0.036914426000009826, | |
0.036810113000001365, | |
0.03633397800001603, | |
0.036814120000030925, | |
0.03706070800001271, | |
0.035931369000024915, | |
0.03616614599997092, | |
0.036841201000015644, | |
0.035238772000013796, | |
0.035587830999986636, | |
0.035485891999996966, | |
0.03598002900002939, | |
0.035328329000037684, | |
0.03523166899998387, | |
0.03447857999998405, | |
0.03579876300000251, | |
0.03569773500004203, | |
0.03595847999997659, | |
0.03611340800000562, | |
0.035329200000035144, | |
0.0367212780000159, | |
0.0365498379999849, | |
0.036531324000009135 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 27.719081440362263 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.2407072302367953e-06, | |
"ram": 5.18503560006689e-08, | |
"gpu": 0.0, | |
"total": 1.2925575862374642e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 773659.9209563445 | |
} | |
} | |
} | |
} |