IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
2fd3c4a verified
raw
history blame
13.9 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 757.579776,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.45509765625,
"mean": 7.45509765625,
"stdev": 0.0,
"p50": 7.45509765625,
"p90": 7.45509765625,
"p95": 7.45509765625,
"p99": 7.45509765625,
"values": [
7.45509765625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.307679090277867e-07,
"ram": 4.943789285316454e-07,
"gpu": 0.0,
"total": 1.4251468375594321e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 924.839936,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 188,
"total": 1.0048574457168578,
"mean": 0.005344986413387542,
"stdev": 0.00024542633124477865,
"p50": 0.005389312028884888,
"p90": 0.005617971229553223,
"p95": 0.005688473677635192,
"p99": 0.006041344132423401,
"values": [
0.005710847854614258,
0.005793791770935058,
0.005662720203399658,
0.005445631980895996,
0.0054568958282470706,
0.005518335819244385,
0.005756927967071533,
0.005600255966186523,
0.005566463947296142,
0.00566476821899414,
0.006031360149383545,
0.005504000186920166,
0.005600255966186523,
0.005513216018676758,
0.0056258559226989744,
0.005536767959594726,
0.005462016105651855,
0.005434368133544922,
0.00540880012512207,
0.005414912223815918,
0.005565440177917481,
0.005426176071166992,
0.005442560195922852,
0.005469183921813964,
0.005425151824951172,
0.005493760108947754,
0.00546611213684082,
0.005436416149139404,
0.005547008037567139,
0.0053309440612792965,
0.0054241280555725096,
0.005499904155731201,
0.0054282240867614745,
0.005447679996490478,
0.005485568046569824,
0.005402624130249023,
0.005485568046569824,
0.0053821439743042,
0.0053821439743042,
0.005434368133544922,
0.005384191989898681,
0.005377024173736572,
0.005509119987487793,
0.005351424217224121,
0.005241856098175048,
0.005440512180328369,
0.005451776027679443,
0.005337088108062744,
0.005434368133544922,
0.005315584182739258,
0.005369855880737305,
0.005392384052276611,
0.005345280170440674,
0.005414912223815918,
0.0054579200744628905,
0.005437439918518067,
0.00557260799407959,
0.005513216018676758,
0.0055316481590271,
0.005595136165618897,
0.005475327968597412,
0.005468160152435303,
0.005499904155731201,
0.005536767959594726,
0.005666816234588623,
0.005478400230407715,
0.005386240005493164,
0.005588992118835449,
0.005903359889984131,
0.00566374397277832,
0.00572211217880249,
0.006278143882751465,
0.005787648200988769,
0.005692416191101074,
0.005484543800354004,
0.005530623912811279,
0.0056145920753479005,
0.005483520030975342,
0.005438464164733887,
0.005501952171325684,
0.005469183921813964,
0.005494783878326416,
0.005501952171325684,
0.0054876160621643065,
0.005588992118835449,
0.0054609918594360355,
0.005550079822540284,
0.005633024215698243,
0.0056483840942382815,
0.005681151866912842,
0.005560319900512695,
0.0056258559226989744,
0.006108160018920898,
0.005476352214813233,
0.005590015888214111,
0.005512191772460938,
0.005495808124542236,
0.005323775768280029,
0.0054568958282470706,
0.005585919857025146,
0.005400576114654541,
0.0054609918594360355,
0.005438464164733887,
0.005295104026794434,
0.005189631938934326,
0.005342207908630371,
0.005413887977600097,
0.005346303939819336,
0.005224448204040527,
0.005127168178558349,
0.005175295829772949,
0.005227519989013672,
0.005213183879852295,
0.005224448204040527,
0.005355519771575928,
0.005377024173736572,
0.005269504070281982,
0.0053012480735778805,
0.005403647899627686,
0.005610496044158936,
0.005371903896331787,
0.005173247814178467,
0.005192704200744629,
0.005185535907745361,
0.005243904113769531,
0.005153791904449463,
0.005167103767395019,
0.005254144191741943,
0.005194752216339111,
0.005156864166259765,
0.005212160110473632,
0.005148672103881836,
0.005141503810882568,
0.005150720119476319,
0.005105663776397705,
0.005037055969238281,
0.005040128231048584,
0.00506879997253418,
0.005148672103881836,
0.005129216194152832,
0.005092351913452148,
0.005165056228637695,
0.0050022401809692385,
0.004983808040618896,
0.005004288196563721,
0.005015552043914795,
0.0050032639503479,
0.004989952087402344,
0.00501145601272583,
0.005074944019317627,
0.00501043176651001,
0.005000192165374756,
0.0050063362121582035,
0.005025792121887207,
0.005022719860076904,
0.005015552043914795,
0.005078015804290771,
0.00506060791015625,
0.005128191947937012,
0.005071872234344482,
0.0050432000160217285,
0.004999167919158935,
0.005021696090698242,
0.005004288196563721,
0.0050462718009948735,
0.0050094079971313476,
0.005015552043914795,
0.005039103984832764,
0.005041215896606445,
0.004994048118591309,
0.004992000102996826,
0.005001215934753418,
0.005059584140777588,
0.0050022401809692385,
0.005153791904449463,
0.005054463863372802,
0.005033984184265137,
0.0049797120094299315,
0.005001215934753418,
0.0050657281875610355,
0.005332992076873779,
0.005051392078399658,
0.00501145601272583,
0.005035007953643799,
0.0050421757698059086,
0.004993023872375488,
0.005549056053161621,
0.005238783836364746
]
},
"throughput": {
"unit": "samples/s",
"value": 187.09121458107145
},
"energy": {
"unit": "kWh",
"cpu": 5.998896607744065e-08,
"ram": 3.27961887022411e-08,
"gpu": 1.2353545236363426e-07,
"total": 2.1632060714331604e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4622768.090408895
}
}
}
}