IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
68ddfc6 verified
raw
history blame
13.7 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.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": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 782.856192,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.37972314453125,
"mean": 7.37972314453125,
"stdev": 0.0,
"p50": 7.37972314453125,
"p90": 7.37972314453125,
"p95": 7.37972314453125,
"p99": 7.37972314453125,
"values": [
7.37972314453125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.593301048616197e-07,
"ram": 4.931130665557077e-07,
"gpu": 1.5763901500000753e-06,
"total": 3.0288333214174024e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1038.462976,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 182,
"total": 1.00124784040451,
"mean": 0.005501361760464343,
"stdev": 0.00020505164239534098,
"p50": 0.005528064012527466,
"p90": 0.0057083902359008785,
"p95": 0.005777919888496399,
"p99": 0.005970483045578003,
"values": [
0.006173696041107178,
0.006647808074951172,
0.005922815799713135,
0.005768191814422607,
0.005745664119720459,
0.0058009600639343266,
0.005805056095123291,
0.005716991901397705,
0.00570470380783081,
0.00572211217880249,
0.005682176113128662,
0.005645311832427978,
0.005623807907104492,
0.005649407863616943,
0.005698592185974121,
0.005569536209106446,
0.005518335819244385,
0.005502975940704345,
0.005512191772460938,
0.005619711875915527,
0.005561344146728516,
0.005646336078643799,
0.005662720203399658,
0.005616640090942383,
0.005709824085235596,
0.005619711875915527,
0.005607423782348633,
0.005525504112243652,
0.005615615844726562,
0.005679103851318359,
0.005629951953887939,
0.005677055835723877,
0.005609471797943116,
0.005653503894805908,
0.005634047985076904,
0.005582848072052002,
0.005617663860321045,
0.005708799839019775,
0.005665791988372803,
0.005787648200988769,
0.005694464206695556,
0.005616640090942383,
0.005476352214813233,
0.005467135906219483,
0.005504000186920166,
0.005516287803649903,
0.0057118721008300784,
0.005527552127838135,
0.005559296131134033,
0.005586944103240967,
0.005549056053161621,
0.005637119770050049,
0.005645311832427978,
0.00566476821899414,
0.005807104110717773,
0.00566374397277832,
0.005708799839019775,
0.005604351997375488,
0.005633024215698243,
0.005509119987487793,
0.005574656009674072,
0.0057118721008300784,
0.005681151866912842,
0.00567193603515625,
0.005596159934997558,
0.005631999969482422,
0.005631999969482422,
0.005512191772460938,
0.005568511962890625,
0.005521471977233887,
0.00553984022140503,
0.005571584224700928,
0.005618688106536865,
0.005612544059753418,
0.00547430419921875,
0.00550707197189331,
0.005549056053161621,
0.00552243185043335,
0.005536767959594726,
0.005535744190216065,
0.005526527881622314,
0.005548031806945801,
0.0055285758972167965,
0.005640192031860352,
0.005690368175506591,
0.00562278413772583,
0.00568832015991211,
0.005637119770050049,
0.0056258559226989744,
0.005596159934997558,
0.005590015888214111,
0.005686272144317627,
0.00563097620010376,
0.005519360065460205,
0.005540863990783691,
0.005600255966186523,
0.005533696174621582,
0.0054609918594360355,
0.005501952171325684,
0.005371903896331787,
0.0053350400924682614,
0.005484543800354004,
0.005547008037567139,
0.0053637118339538575,
0.005269504070281982,
0.005269504070281982,
0.005272575855255127,
0.005274623870849609,
0.005352447986602784,
0.005323775768280029,
0.005533696174621582,
0.005640192031860352,
0.005638144016265869,
0.005852159976959229,
0.0057784318923950195,
0.005868544101715088,
0.005629951953887939,
0.00555622386932373,
0.005599232196807862,
0.00551526403427124,
0.005530623912811279,
0.005430272102355957,
0.0054271998405456545,
0.005438464164733887,
0.005404672145843506,
0.005417984008789062,
0.005470208168029785,
0.005429247856140137,
0.00552243185043335,
0.005436416149139404,
0.005420032024383545,
0.005469183921813964,
0.005288959980010987,
0.005253119945526123,
0.0052899842262268066,
0.005246975898742676,
0.005246975898742676,
0.005275648117065429,
0.005246975898742676,
0.005237760066986084,
0.005249023914337158,
0.005251071929931641,
0.005235712051391602,
0.005252096176147461,
0.005273600101470947,
0.005239808082580567,
0.0052705278396606445,
0.00526643180847168,
0.005241856098175048,
0.005239808082580567,
0.005269504070281982,
0.005224448204040527,
0.0052295680046081545,
0.005352447986602784,
0.005249023914337158,
0.005222400188446045,
0.005261312007904053,
0.005239808082580567,
0.005223423957824707,
0.005252096176147461,
0.005269504070281982,
0.00522547197341919,
0.0053002238273620605,
0.005251071929931641,
0.005235712051391602,
0.0053043198585510255,
0.005273600101470947,
0.0052367358207702636,
0.0052408318519592285,
0.005269504070281982,
0.0052336640357971195,
0.005237760066986084,
0.005269504070281982,
0.005224448204040527,
0.005314559936523438,
0.0052336640357971195,
0.005262335777282715,
0.0052674560546875,
0.005231616020202637,
0.005237760066986084,
0.00521727991104126,
0.005244927883148193
]
},
"throughput": {
"unit": "samples/s",
"value": 181.77317608642318
},
"energy": {
"unit": "kWh",
"cpu": 6.42640572184682e-08,
"ram": 3.5134848085013356e-08,
"gpu": 1.265691703243236e-07,
"total": 2.2596807562780513e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4425403.886021106
}
}
}
}