IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
3b82486 verified
raw
history blame
14 kB
{
"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": 713.515008,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.1128154296875,
"mean": 7.1128154296875,
"stdev": 0.0,
"p50": 7.1128154296875,
"p90": 7.1128154296875,
"p95": 7.1128154296875,
"p99": 7.1128154296875,
"values": [
7.1128154296875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.307136138280234e-07,
"ram": 4.940247581925897e-07,
"gpu": 0.0,
"total": 1.4247383720206131e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 880.263168,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 190,
"total": 1.0007625904083253,
"mean": 0.00526717152846487,
"stdev": 0.00015589730175198324,
"p50": 0.005231103897094727,
"p90": 0.005509324789047241,
"p95": 0.005544499111175537,
"p99": 0.005665423531532287,
"values": [
0.005662720203399658,
0.005696512222290039,
0.005501952171325684,
0.005500927925109863,
0.005420032024383545,
0.005393407821655274,
0.005390336036682129,
0.005355519771575928,
0.0053309440612792965,
0.00536678409576416,
0.0052971520423889164,
0.0052899842262268066,
0.005299200057983398,
0.005306367874145508,
0.005274623870849609,
0.005258240222930908,
0.005149695873260498,
0.005121024131774903,
0.005141503810882568,
0.005252096176147461,
0.005262335777282715,
0.005275648117065429,
0.00535859203338623,
0.005307392120361328,
0.005292096138000488,
0.0053340158462524415,
0.005262335777282715,
0.005161983966827393,
0.005489664077758789,
0.005543935775756836,
0.005533696174621582,
0.005552127838134766,
0.005530623912811279,
0.005687295913696289,
0.005596159934997558,
0.005511168003082275,
0.005530623912811279,
0.005504000186920166,
0.005497856140136719,
0.005560319900512695,
0.005509119987487793,
0.005489664077758789,
0.0053637118339538575,
0.00537497615814209,
0.005389311790466309,
0.005409791946411133,
0.005475327968597412,
0.00542310380935669,
0.005527552127838135,
0.005470208168029785,
0.005586944103240967,
0.005486591815948487,
0.005544960021972656,
0.0055316481590271,
0.005512191772460938,
0.00556441593170166,
0.0053340158462524415,
0.005272575855255127,
0.005303296089172363,
0.0052899842262268066,
0.005244927883148193,
0.005354496002197265,
0.005313536167144775,
0.005251071929931641,
0.005315584182739258,
0.005313536167144775,
0.005284863948822022,
0.005254144191741943,
0.005165056228637695,
0.005198847770690918,
0.005248000144958496,
0.005230591773986816,
0.005356544017791748,
0.005281792163848877,
0.005183487892150879,
0.0051773438453674315,
0.005231616020202637,
0.005234687805175781,
0.005202943801879883,
0.005202943801879883,
0.005312511920928955,
0.00520908784866333,
0.005222400188446045,
0.005386240005493164,
0.005395455837249756,
0.005298175811767578,
0.00536575984954834,
0.005307392120361328,
0.005299200057983398,
0.005361663818359375,
0.005242879867553711,
0.005268479824066162,
0.005355519771575928,
0.0052008957862854,
0.005221375942230225,
0.005371903896331787,
0.005179391860961914,
0.00510975980758667,
0.005092351913452148,
0.0050063362121582035,
0.00501043176651001,
0.005131264209747314,
0.005234687805175781,
0.005156864166259765,
0.004927487850189209,
0.004935679912567138,
0.0049387521743774416,
0.0049428482055664065,
0.004974656105041504,
0.004985856056213379,
0.0053340158462524415,
0.005485568046569824,
0.005337088108062744,
0.0054568958282470706,
0.005478400230407715,
0.0055848960876464845,
0.00542310380935669,
0.005372928142547607,
0.005186560153961181,
0.005210112094879151,
0.0051404800415039064,
0.005145599842071533,
0.005194752216339111,
0.005175295829772949,
0.005101568222045898,
0.005215231895446777,
0.005183487892150879,
0.005192704200744629,
0.005137407779693603,
0.00515174388885498,
0.005139455795288086,
0.0051476478576660155,
0.005104640007019043,
0.005513216018676758,
0.005182464122772217,
0.00521830415725708,
0.005183551788330078,
0.00516812801361084,
0.005116928100585938,
0.005141503810882568,
0.00510975980758667,
0.005414912223815918,
0.005279744148254394,
0.005146624088287354,
0.005192704200744629,
0.00511897611618042,
0.005175295829772949,
0.005134335994720459,
0.005124095916748047,
0.0051435518264770505,
0.0052111358642578124,
0.005116928100585938,
0.005121024131774903,
0.00515174388885498,
0.005133344173431397,
0.005179391860961914,
0.005156864166259765,
0.005155839920043945,
0.005216256141662597,
0.0051660799980163576,
0.005167103767395019,
0.005185535907745361,
0.0051363840103149415,
0.005146624088287354,
0.005144576072692871,
0.00510975980758667,
0.005129216194152832,
0.00522547197341919,
0.005121024131774903,
0.0051138558387756345,
0.0051435518264770505,
0.005130239963531494,
0.005157887935638428,
0.005165056228637695,
0.005128191947937012,
0.005191679954528809,
0.005104640007019043,
0.0052367358207702636,
0.005197824001312256,
0.00511897611618042,
0.005295104026794434,
0.005183487892150879,
0.0051138558387756345,
0.005129216194152832,
0.005216256141662597,
0.005132287979125977,
0.0051066880226135255,
0.005214208126068115,
0.005148672103881836,
0.005144576072692871
]
},
"throughput": {
"unit": "samples/s",
"value": 189.85521823160607
},
"energy": {
"unit": "kWh",
"cpu": 5.9216613570849106e-08,
"ram": 3.237523097771202e-08,
"gpu": 1.3153343856000002e-07,
"total": 2.2312528310856114e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4481787.030443574
}
}
}
}