
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
7708a8a
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cu121", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"model": "google-bert/bert-base-uncased", | |
"processor": "google-bert/bert-base-uncased", | |
"device": "cuda", | |
"device_ids": "0", | |
"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": true, | |
"device_isolation_action": "error", | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7R32", | |
"cpu_count": 16, | |
"cpu_ram_mb": 66697.29792, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"NVIDIA A10G" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 24146608128, | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": null, | |
"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": 878.3872, | |
"max_global_vram": 1229.45536, | |
"max_process_vram": 0.0, | |
"max_reserved": 591.396864, | |
"max_allocated": 449.269248 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 147, | |
"total": 1.0017925124168394, | |
"mean": 0.006814915050454691, | |
"stdev": 0.00023407210271465212, | |
"p50": 0.006746111869812011, | |
"p90": 0.007105740928649902, | |
"p95": 0.007248384046554566, | |
"p99": 0.007694745664596554, | |
"values": [ | |
0.007468031883239746, | |
0.00709119987487793, | |
0.007303167819976806, | |
0.007265279769897461, | |
0.007237631797790528, | |
0.007252992153167725, | |
0.007175168037414551, | |
0.007137279987335205, | |
0.007063551902770996, | |
0.0070594558715820314, | |
0.00745472002029419, | |
0.007953407764434815, | |
0.0073400321006774905, | |
0.007011328220367432, | |
0.0069959678649902345, | |
0.006975488185882568, | |
0.007014400005340577, | |
0.007054336071014404, | |
0.00714035177230835, | |
0.007146495819091797, | |
0.00709939193725586, | |
0.007062528133392334, | |
0.00708403205871582, | |
0.007104512214660645, | |
0.007112703800201416, | |
0.007064576148986816, | |
0.006852608203887939, | |
0.006841343879699707, | |
0.00708403205871582, | |
0.006740992069244385, | |
0.006785024166107178, | |
0.006815743923187256, | |
0.006778880119323731, | |
0.0067983360290527345, | |
0.006725632190704346, | |
0.006642687797546387, | |
0.006659071922302246, | |
0.006729728221893311, | |
0.006714367866516113, | |
0.0066641921997070315, | |
0.006776832103729248, | |
0.006744063854217529, | |
0.006756351947784424, | |
0.0068689918518066405, | |
0.00683622407913208, | |
0.0067758078575134275, | |
0.006842368125915528, | |
0.00678604793548584, | |
0.0066979842185974124, | |
0.006715392112731934, | |
0.006854656219482422, | |
0.0067717118263244626, | |
0.006726655960083008, | |
0.0067573761940002445, | |
0.006752255916595459, | |
0.006683648109436035, | |
0.006799359798431396, | |
0.006758399963378906, | |
0.006725632190704346, | |
0.006842368125915528, | |
0.006800384044647217, | |
0.006654975891113281, | |
0.00667852783203125, | |
0.006748159885406494, | |
0.0067051520347595215, | |
0.006744063854217529, | |
0.00672051191329956, | |
0.006715392112731934, | |
0.006746111869812011, | |
0.006789120197296142, | |
0.006792191982269287, | |
0.0068351998329162595, | |
0.00682700777053833, | |
0.006862847805023193, | |
0.0066979842185974124, | |
0.0067717118263244626, | |
0.006772736072540283, | |
0.006675456047058105, | |
0.0068280320167541505, | |
0.006681600093841553, | |
0.006540287971496582, | |
0.00653926420211792, | |
0.00653004789352417, | |
0.00653926420211792, | |
0.006608895778656006, | |
0.006561791896820069, | |
0.006385663986206055, | |
0.00643891191482544, | |
0.006711296081542969, | |
0.006837247848510742, | |
0.006915071964263916, | |
0.006922239780426025, | |
0.00690176010131836, | |
0.006976511955261231, | |
0.007107583999633789, | |
0.006919167995452881, | |
0.006711296081542969, | |
0.006763519763946534, | |
0.006788095951080322, | |
0.006711296081542969, | |
0.00676966381072998, | |
0.006782976150512696, | |
0.00672870397567749, | |
0.006716415882110595, | |
0.006746111869812011, | |
0.006686719894409179, | |
0.00673689603805542, | |
0.006675456047058105, | |
0.007032832145690918, | |
0.006636544227600098, | |
0.006751232147216797, | |
0.007887872219085693, | |
0.006867968082427979, | |
0.006638591766357422, | |
0.006725632190704346, | |
0.006707200050354004, | |
0.006651904106140137, | |
0.006715392112731934, | |
0.006714367866516113, | |
0.006621183872222901, | |
0.006680575847625733, | |
0.006683648109436035, | |
0.006638591766357422, | |
0.006730751991271973, | |
0.006673408031463623, | |
0.006620160102844238, | |
0.0066713600158691405, | |
0.006653952121734619, | |
0.006660096168518067, | |
0.006660096168518067, | |
0.006658048152923584, | |
0.006590464115142822, | |
0.006620160102844238, | |
0.006647808074951172, | |
0.006597631931304931, | |
0.006652927875518798, | |
0.006652927875518798, | |
0.006597631931304931, | |
0.006658048152923584, | |
0.006638591766357422, | |
0.006628352165222168, | |
0.006660096168518067, | |
0.00669593620300293, | |
0.006620160102844238, | |
0.0066641921997070315, | |
0.006690815925598144, | |
0.006623231887817383 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 146.736972155402 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 7.508229647675313e-08, | |
"ram": 4.104626630325146e-08, | |
"gpu": 1.4462564312657856e-07, | |
"total": 2.6075420590658313e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 3835029.224258252 | |
} | |
} | |
} | |
} |