{ "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_type": "bert", "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": {}, "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": 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": "0.3.1", "optimum_benchmark_commit": null, "transformers_version": "4.42.4", "transformers_commit": null, "accelerate_version": "0.32.1", "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": { "load": { "memory": { "unit": "MB", "max_ram": 713.95328, "max_global_vram": 1218.9696, "max_process_vram": 0.0, "max_reserved": 589.299712, "max_allocated": 533.571072 }, "latency": { "unit": "s", "count": 1, "total": 7.15504736328125, "mean": 7.15504736328125, "stdev": 0.0, "p50": 7.15504736328125, "p90": 7.15504736328125, "p95": 7.15504736328125, "p99": 7.15504736328125, "values": [ 7.15504736328125 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 9.039320879512364e-07, "ram": 4.803025767328487e-07, "gpu": 0.0, "total": 1.3842346646840852e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 881.012736, "max_global_vram": 1229.45536, "max_process_vram": 0.0, "max_reserved": 589.299712, "max_allocated": 449.025024 }, "latency": { "unit": "s", "count": 190, "total": 1.001962976455689, "mean": 0.005273489349766782, "stdev": 0.00030881680656642677, "p50": 0.0053975038528442385, "p90": 0.005592575931549072, "p95": 0.0056513023853302, "p99": 0.005801482281684875, "values": [ 0.005636096000671387, 0.005950463771820068, 0.005796864032745362, 0.005692416191101074, 0.005696512222290039, 0.005612544059753418, 0.00566374397277832, 0.0055848960876464845, 0.005542912006378174, 0.005549056053161621, 0.005559296131134033, 0.005545983791351319, 0.005493760108947754, 0.005552127838134766, 0.005530623912811279, 0.005608448028564453, 0.00542310380935669, 0.005387263774871826, 0.0054579200744628905, 0.005493760108947754, 0.005492735862731934, 0.005612544059753418, 0.005609471797943116, 0.005538815975189209, 0.005537792205810547, 0.005545983791351319, 0.0054568958282470706, 0.005372928142547607, 0.005488639831542969, 0.005572735786437988, 0.005500927925109863, 0.005575679779052735, 0.005597184181213379, 0.005713920116424561, 0.005599232196807862, 0.005488639831542969, 0.005476352214813233, 0.005537792205810547, 0.0054906878471374515, 0.005540863990783691, 0.005530623912811279, 0.005470208168029785, 0.0053975038528442385, 0.0053534722328186036, 0.005420032024383545, 0.005453824043273926, 0.005389311790466309, 0.00535756778717041, 0.005463039875030518, 0.005462016105651855, 0.005414912223815918, 0.0054876160621643065, 0.0055214080810546875, 0.005582848072052002, 0.0054988799095153805, 0.005554175853729248, 0.005547008037567139, 0.005471231937408447, 0.00546611213684082, 0.005368832111358642, 0.005448703765869141, 0.005543935775756836, 0.005506048202514649, 0.00566476821899414, 0.0055203838348388675, 0.005481472015380859, 0.005557248115539551, 0.005446656227111817, 0.0054241280555725096, 0.00547430419921875, 0.005445631980895996, 0.005451776027679443, 0.005601280212402344, 0.005455872058868408, 0.0053975038528442385, 0.005437439918518067, 0.005443583965301513, 0.005793791770935058, 0.005501952171325684, 0.005478400230407715, 0.005535744190216065, 0.005626880168914795, 0.005569536209106446, 0.005539968013763428, 0.005566463947296142, 0.0055582718849182125, 0.005495808124542236, 0.0055920639038085935, 0.005582848072052002, 0.00552243185043335, 0.00556441593170166, 0.005526527881622314, 0.005467135906219483, 0.005391359806060791, 0.005561344146728516, 0.005463103771209717, 0.00535859203338623, 0.005302271842956543, 0.005214208126068115, 0.005191679954528809, 0.005349376201629639, 0.005384191989898681, 0.005292031764984131, 0.00511078405380249, 0.005119999885559082, 0.005159008026123047, 0.0051333122253417966, 0.0051701760292053225, 0.00526643180847168, 0.005396480083465576, 0.005348351955413819, 0.005421055793762207, 0.005442560195922852, 0.0054906878471374515, 0.00566374397277832, 0.005422080039978027, 0.005332992076873779, 0.005359615802764893, 0.0052899842262268066, 0.005220352172851562, 0.0058388481140136715, 0.005477375984191894, 0.005259263992309571, 0.005115903854370117, 0.00511078405380249, 0.0050841598510742185, 0.005117951869964599, 0.005062687873840332, 0.005067776203155518, 0.004998144149780274, 0.0048855037689208985, 0.0048056321144104, 0.00481382417678833, 0.004840447902679444, 0.004896768093109131, 0.004848639965057373, 0.004819968223571777, 0.004996096134185791, 0.004905983924865722, 0.00491315221786499, 0.004857855796813965, 0.004866047859191895, 0.0048148479461669925, 0.00486195182800293, 0.004873216152191162, 0.004834303855895996, 0.004824063777923584, 0.004894720077514648, 0.00490499210357666, 0.004806655883789063, 0.004816895961761475, 0.004817920207977295, 0.004841472148895264, 0.004887551784515381, 0.004878335952758789, 0.004868095874786377, 0.004848639965057373, 0.0048568320274353025, 0.00491315221786499, 0.0048793601989746095, 0.004839424133300781, 0.004858880043029785, 0.004876287937164306, 0.004882431983947754, 0.004892672061920166, 0.004816895961761475, 0.0049090561866760255, 0.004848639965057373, 0.004831232070922851, 0.0048793601989746095, 0.005041152000427246, 0.004937727928161621, 0.0048558077812194825, 0.004828159809112549, 0.004841472148895264, 0.004825088024139404, 0.004846591949462891, 0.004836351871490479, 0.004816895961761475, 0.0048056321144104, 0.0048793601989746095, 0.004887551784515381, 0.004860928058624267, 0.004833280086517334, 0.0048752641677856446, 0.00486195182800293, 0.0048189439773559575, 0.004806655883789063, 0.005061632156372071, 0.004984831809997559 ] }, "throughput": { "unit": "samples/s", "value": 189.62776516164286 }, "energy": { "unit": "kWh", "cpu": 5.8282014948350406e-08, "ram": 3.186444984926038e-08, "gpu": 1.2305293068627562e-07, "total": 2.1319939548388642e-07 }, "efficiency": { "unit": "samples/kWh", "value": 4690444.819181393 } } } }