IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
005948a
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+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", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.293824, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.219-208.866.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": "0.2.1", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.42.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.31.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.7", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 869.138432, | |
| "max_global_vram": 1229.45536, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 591.396864, | |
| "max_allocated": 449.269248 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 181, | |
| "total": 1.0023773460388188, | |
| "mean": 0.005537996386954796, | |
| "stdev": 0.00020026132220488826, | |
| "p50": 0.005496831893920898, | |
| "p90": 0.005794816017150879, | |
| "p95": 0.005896192073822021, | |
| "p99": 0.00631357440948486, | |
| "values": [ | |
| 0.006560768127441406, | |
| 0.005860352039337159, | |
| 0.005874688148498535, | |
| 0.005929984092712402, | |
| 0.005849088191986084, | |
| 0.005894144058227539, | |
| 0.006048768043518066, | |
| 0.005896192073822021, | |
| 0.006533120155334473, | |
| 0.005961728096008301, | |
| 0.0058726401329040525, | |
| 0.006258687973022461, | |
| 0.006188032150268555, | |
| 0.005986303806304932, | |
| 0.0058122239112854005, | |
| 0.00582144021987915, | |
| 0.005794816017150879, | |
| 0.005866496086120605, | |
| 0.005672959804534912, | |
| 0.0057149438858032225, | |
| 0.005681151866912842, | |
| 0.0056442880630493165, | |
| 0.005709824085235596, | |
| 0.0055552000999450684, | |
| 0.0055511040687561035, | |
| 0.0055203838348388675, | |
| 0.005574656009674072, | |
| 0.0055848960876464845, | |
| 0.005560319900512695, | |
| 0.005609471797943116, | |
| 0.005545983791351319, | |
| 0.005496831893920898, | |
| 0.005540863990783691, | |
| 0.00551423978805542, | |
| 0.0055848960876464845, | |
| 0.005509119987487793, | |
| 0.005372928142547607, | |
| 0.005442560195922852, | |
| 0.005432320117950439, | |
| 0.0054609918594360355, | |
| 0.005476352214813233, | |
| 0.005506048202514649, | |
| 0.005533696174621582, | |
| 0.005541888236999512, | |
| 0.005578752040863037, | |
| 0.0056145920753479005, | |
| 0.005601280212402344, | |
| 0.005638144016265869, | |
| 0.005591040134429932, | |
| 0.005473279953002929, | |
| 0.005594111919403076, | |
| 0.0055808000564575196, | |
| 0.005543935775756836, | |
| 0.005574656009674072, | |
| 0.005568511962890625, | |
| 0.005516287803649903, | |
| 0.005422080039978027, | |
| 0.005508096218109131, | |
| 0.0055316481590271, | |
| 0.0055808000564575196, | |
| 0.005583871841430664, | |
| 0.0054609918594360355, | |
| 0.005601280212402344, | |
| 0.0055203838348388675, | |
| 0.00552243185043335, | |
| 0.005575679779052735, | |
| 0.0055848960876464845, | |
| 0.005603328227996827, | |
| 0.005609471797943116, | |
| 0.005628928184509278, | |
| 0.005585951805114746, | |
| 0.005640192031860352, | |
| 0.005591040134429932, | |
| 0.005601280212402344, | |
| 0.005583871841430664, | |
| 0.00551526403427124, | |
| 0.005504000186920166, | |
| 0.005527552127838135, | |
| 0.0054579200744628905, | |
| 0.005404672145843506, | |
| 0.005343232154846191, | |
| 0.005278719902038574, | |
| 0.00532480001449585, | |
| 0.005448703765869141, | |
| 0.005406720161437988, | |
| 0.005219327926635742, | |
| 0.00522547197341919, | |
| 0.005221375942230225, | |
| 0.0052111358642578124, | |
| 0.005208064079284668, | |
| 0.005192704200744629, | |
| 0.005287936210632324, | |
| 0.005306367874145508, | |
| 0.00522649621963501, | |
| 0.005616640090942383, | |
| 0.0056483840942382815, | |
| 0.005766143798828125, | |
| 0.005754879951477051, | |
| 0.00552243185043335, | |
| 0.005565440177917481, | |
| 0.005536767959594726, | |
| 0.005583871841430664, | |
| 0.005611519813537597, | |
| 0.0055285758972167965, | |
| 0.0055552000999450684, | |
| 0.005478400230407715, | |
| 0.005459968090057373, | |
| 0.00541593599319458, | |
| 0.005416959762573242, | |
| 0.005581823825836182, | |
| 0.005459968090057373, | |
| 0.005400576114654541, | |
| 0.005403647899627686, | |
| 0.005431295871734619, | |
| 0.005399551868438721, | |
| 0.005473279953002929, | |
| 0.005465087890625, | |
| 0.005441535949707031, | |
| 0.005504000186920166, | |
| 0.005406720161437988, | |
| 0.005497856140136719, | |
| 0.0054282240867614745, | |
| 0.0056483840942382815, | |
| 0.005458943843841553, | |
| 0.005479423999786377, | |
| 0.005458943843841553, | |
| 0.005582848072052002, | |
| 0.005436416149139404, | |
| 0.005469183921813964, | |
| 0.005431295871734619, | |
| 0.005414912223815918, | |
| 0.005463039875030518, | |
| 0.005411839962005615, | |
| 0.005459968090057373, | |
| 0.005440512180328369, | |
| 0.005412864208221436, | |
| 0.005426176071166992, | |
| 0.0054876160621643065, | |
| 0.005429247856140137, | |
| 0.005440512180328369, | |
| 0.005432320117950439, | |
| 0.005398528099060058, | |
| 0.005399551868438721, | |
| 0.00561356782913208, | |
| 0.005405695915222168, | |
| 0.005454847812652588, | |
| 0.005437439918518067, | |
| 0.005434368133544922, | |
| 0.005446656227111817, | |
| 0.0054241280555725096, | |
| 0.005435391902923584, | |
| 0.005409791946411133, | |
| 0.00553984022140503, | |
| 0.005960703849792481, | |
| 0.005412864208221436, | |
| 0.005405695915222168, | |
| 0.0054620480537414555, | |
| 0.005403647899627686, | |
| 0.005412864208221436, | |
| 0.005392384052276611, | |
| 0.005389311790466309, | |
| 0.005416959762573242, | |
| 0.005389311790466309, | |
| 0.005389311790466309, | |
| 0.005425151824951172, | |
| 0.005435391902923584, | |
| 0.0054609918594360355, | |
| 0.0054917120933532714, | |
| 0.005400576114654541, | |
| 0.005396480083465576, | |
| 0.005496831893920898, | |
| 0.00547430419921875, | |
| 0.005477375984191894, | |
| 0.005425151824951172, | |
| 0.005388288021087646, | |
| 0.005426176071166992, | |
| 0.005432320117950439, | |
| 0.005396480083465576, | |
| 0.0054170241355896, | |
| 0.005473279953002929, | |
| 0.005516287803649903 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 180.57072091191353 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.362821417625505e-08, | |
| "ram": 3.4648626774585466e-08, | |
| "gpu": 1.3250159144385064e-07, | |
| "total": 2.3077843239469116e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 4333160.554144591 | |
| } | |
| } | |
| } | |
| } |