IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
2b0d4be
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": "133b3e1f0b6eadebe8382f2e06a0a3f0fdd891de", | |
"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": 941.371392, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.274006087999965, | |
"mean": 4.274006087999965, | |
"stdev": 0.0, | |
"p50": 4.274006087999965, | |
"p90": 4.274006087999965, | |
"p95": 4.274006087999965, | |
"p99": 4.274006087999965, | |
"values": [ | |
4.274006087999965 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.813361843888799e-05, | |
"ram": 2.0128549057242153e-06, | |
"gpu": 0, | |
"total": 5.014647334461221e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 948.973568, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 29, | |
"total": 1.0179273050001143, | |
"mean": 0.035100941551728077, | |
"stdev": 0.0006171287824701932, | |
"p50": 0.03523025800001278, | |
"p90": 0.035848844199995254, | |
"p95": 0.03590364860000363, | |
"p99": 0.03597662955997975, | |
"values": [ | |
0.03523025800001278, | |
0.03500776200002065, | |
0.035879333000025326, | |
0.03315861000004361, | |
0.03599870699997609, | |
0.035240767999994205, | |
0.034843955000042115, | |
0.0347509210000112, | |
0.03537440799999558, | |
0.03407781100003149, | |
0.0341873860000419, | |
0.03584122199998774, | |
0.03541342099998701, | |
0.03490652300001784, | |
0.035216832999992675, | |
0.035241478999978426, | |
0.03454223099998899, | |
0.03508738099998254, | |
0.034682764000024235, | |
0.03527307199999541, | |
0.03536064899998337, | |
0.03529774200001157, | |
0.034616948999996566, | |
0.035096866999992926, | |
0.035728507999976955, | |
0.03582467700005054, | |
0.035566303999985394, | |
0.035919858999989174, | |
0.03456090499997799 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 28.489264270199282 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.1778950509804496e-06, | |
"ram": 4.925496852911097e-08, | |
"gpu": 0.0, | |
"total": 1.2271500195095606e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 814896.2914898191 | |
} | |
} | |
} | |
} |