IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
58efadb
verified
{ | |
"config": { | |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.0+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": "error", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16757.338112, | |
"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": "bbd38855156b81c8eada2deda937e3adeb3b496b", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.1", | |
"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": 946.110464, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 4.52761446400001, | |
"mean": 4.52761446400001, | |
"stdev": 0.0, | |
"p50": 4.52761446400001, | |
"p90": 4.52761446400001, | |
"p95": 4.52761446400001, | |
"p99": 4.52761446400001, | |
"values": [ | |
4.52761446400001 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.8018363672220715e-05, | |
"ram": 2.006891709328771e-06, | |
"gpu": 0, | |
"total": 5.002525538154949e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 953.450496, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 29, | |
"total": 1.0053812179999682, | |
"mean": 0.034668317862067866, | |
"stdev": 0.002398905469273133, | |
"p50": 0.03552920399999948, | |
"p90": 0.037546448400019014, | |
"p95": 0.03775689100003774, | |
"p99": 0.03779071131997853, | |
"values": [ | |
0.037770961000035186, | |
0.03779839199995649, | |
0.03673029800000904, | |
0.03504006999997955, | |
0.03749911400001338, | |
0.03678991900000028, | |
0.03702932599998121, | |
0.03646531300000788, | |
0.03555357999999842, | |
0.03552920399999948, | |
0.03579633399999693, | |
0.03773578600004157, | |
0.03668010500001628, | |
0.037489225000001625, | |
0.036740276999978505, | |
0.036904101999994054, | |
0.03169252999998662, | |
0.03242032800000061, | |
0.03154442300001392, | |
0.03302303399999573, | |
0.031614153000020906, | |
0.03311758099999906, | |
0.03148056399999177, | |
0.03252099599995972, | |
0.031502552999995714, | |
0.033026522000000114, | |
0.031561604999978954, | |
0.03263409699997055, | |
0.03169082600004458 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 28.844779950922973 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.2303224159722763e-06, | |
"ram": 5.141481958607491e-08, | |
"gpu": 0.0, | |
"total": 1.2817372355583512e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 780191.1127005523 | |
} | |
} | |
} | |
} |