IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c2a92b3
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": 16766.7712, | |
"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": "0.5.0", | |
"optimum_benchmark_commit": "f54839c0f9c801552aeae3c1c611287092f83ba2", | |
"transformers_version": "4.45.0", | |
"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": 948.96128, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 1.2345184310000263, | |
"mean": 1.2345184310000263, | |
"stdev": 0.0, | |
"p50": 1.2345184310000263, | |
"p90": 1.2345184310000263, | |
"p95": 1.2345184310000263, | |
"p99": 1.2345184310000263, | |
"values": [ | |
1.2345184310000263 | |
] | |
}, | |
"throughput": null, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 4.79760750777776e-05, | |
"ram": 2.0063059015886353e-06, | |
"gpu": 0, | |
"total": 4.9982380979366236e-05 | |
}, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 957.087744, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 28, | |
"total": 1.0096662980000133, | |
"mean": 0.03605951064285762, | |
"stdev": 0.0007116479760938035, | |
"p50": 0.03623955550000346, | |
"p90": 0.036748652500017444, | |
"p95": 0.036925518950027936, | |
"p99": 0.03709342796997021, | |
"values": [ | |
0.036944735000020046, | |
0.03589625099999694, | |
0.03688983200004259, | |
0.034377199999994446, | |
0.036554818000013256, | |
0.03640347600003224, | |
0.036140495999973155, | |
0.03569370299999264, | |
0.03602666300002966, | |
0.03652504200005069, | |
0.033929023999974106, | |
0.036357560999988436, | |
0.037148423999951774, | |
0.03599446399999806, | |
0.035564191999981176, | |
0.03634380500000134, | |
0.03508094000000028, | |
0.036688147000006666, | |
0.03548095700000431, | |
0.03573139299999184, | |
0.03633861500003377, | |
0.03639637300000231, | |
0.03579916000001049, | |
0.03572457099994608, | |
0.03591299199996456, | |
0.03654635200001621, | |
0.036588931999972374, | |
0.03658818000002384 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 27.73193485358826 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 1.2412912859375466e-06, | |
"ram": 5.1905352412681804e-08, | |
"gpu": 0.0, | |
"total": 1.2931966383502285e-06 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 773277.6055432153 | |
} | |
} | |
} | |
} |