IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
4f2f035 verified
raw
history blame
13.5 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.252864,
"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": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 794.238976,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.85350537109375,
"mean": 7.85350537109375,
"stdev": 0.0,
"p50": 7.85350537109375,
"p90": 7.85350537109375,
"p95": 7.85350537109375,
"p99": 7.85350537109375,
"values": [
7.85350537109375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.324411930573244e-07,
"ram": 4.953937420007339e-07,
"gpu": 0.0,
"total": 1.4278349350580583e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1049.6,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 179,
"total": 1.0029036512374878,
"mean": 0.0056028136940641775,
"stdev": 0.00015253343227569728,
"p50": 0.005591040134429932,
"p90": 0.00581468152999878,
"p95": 0.005910015964508057,
"p99": 0.006086635694503784,
"values": [
0.0061337599754333495,
0.006213632106781006,
0.005892096042633056,
0.005702655792236328,
0.005726208209991455,
0.005725183963775635,
0.005724160194396972,
0.0057292799949646,
0.005700607776641845,
0.0057497601509094234,
0.005746687889099121,
0.005669888019561768,
0.005631999969482422,
0.005612544059753418,
0.00561356782913208,
0.005591040134429932,
0.005798912048339844,
0.005570559978485107,
0.005662720203399658,
0.0054876160621643065,
0.005464064121246338,
0.005513216018676758,
0.005610496044158936,
0.0055797758102417,
0.005636096000671387,
0.005713920116424561,
0.00573747205734253,
0.005694464206695556,
0.005646336078643799,
0.005591040134429932,
0.005550079822540284,
0.005508096218109131,
0.005595136165618897,
0.005628928184509278,
0.0057077760696411135,
0.005640192031860352,
0.005831679821014404,
0.005606400012969971,
0.005646336078643799,
0.005615615844726562,
0.005634047985076904,
0.00562278413772583,
0.005545983791351319,
0.005774335861206055,
0.005634047985076904,
0.005620736122131348,
0.005612544059753418,
0.005595136165618897,
0.005542912006378174,
0.005482495784759522,
0.005511168003082275,
0.005540863990783691,
0.005518335819244385,
0.005526527881622314,
0.005600255966186523,
0.0055203838348388675,
0.005587967872619629,
0.0055623679161071774,
0.005586944103240967,
0.00557260799407959,
0.005629951953887939,
0.005814271926879883,
0.005817344188690185,
0.005605375766754151,
0.005681151866912842,
0.005653503894805908,
0.005624832153320313,
0.005550079822540284,
0.0054906878471374515,
0.005489664077758789,
0.005627903938293457,
0.005595136165618897,
0.005598207950592041,
0.005541888236999512,
0.005597184181213379,
0.005597184181213379,
0.00563097620010376,
0.005554175853729248,
0.005476352214813233,
0.005495808124542236,
0.005682176113128662,
0.005568511962890625,
0.00547430419921875,
0.005773312091827393,
0.005598207950592041,
0.005511168003082275,
0.005489664077758789,
0.0055285758972167965,
0.0054988799095153805,
0.005511168003082275,
0.005480447769165039,
0.0055316481590271,
0.005541888236999512,
0.005526527881622314,
0.005542912006378174,
0.005602303981781006,
0.005653503894805908,
0.005943295955657959,
0.005914624214172363,
0.005959680080413818,
0.005929984092712402,
0.006073344230651856,
0.006001664161682129,
0.005884928226470947,
0.005883903980255127,
0.00582860803604126,
0.005728256225585937,
0.005786623954772949,
0.005970943927764893,
0.005816319942474365,
0.005715968132019043,
0.00566374397277832,
0.005700607776641845,
0.00553984022140503,
0.005682176113128662,
0.005773312091827393,
0.005660672187805176,
0.0054568958282470706,
0.005465087890625,
0.005467135906219483,
0.00566476821899414,
0.005886975765228271,
0.005609471797943116,
0.00566374397277832,
0.005609471797943116,
0.005610496044158936,
0.005730303764343261,
0.005909503936767578,
0.005690368175506591,
0.005396480083465576,
0.0053975038528442385,
0.005387296199798584,
0.005377024173736572,
0.00536678409576416,
0.005462016105651855,
0.0053637118339538575,
0.005384191989898681,
0.005492735862731934,
0.005476352214813233,
0.005624832153320313,
0.0054906878471374515,
0.005446656227111817,
0.005479423999786377,
0.005438464164733887,
0.005468160152435303,
0.005623807907104492,
0.00547430419921875,
0.0054271998405456545,
0.00546611213684082,
0.005436416149139404,
0.005451776027679443,
0.005448703765869141,
0.005496831893920898,
0.005500927925109863,
0.005443583965301513,
0.005462016105651855,
0.005527552127838135,
0.005445631980895996,
0.005499904155731201,
0.005473279953002929,
0.005482495784759522,
0.005476352214813233,
0.005462016105651855,
0.005584959983825684,
0.00546611213684082,
0.005413887977600097,
0.005453824043273926,
0.005455872058868408,
0.0054609918594360355,
0.005445631980895996,
0.0056442880630493165,
0.00546611213684082,
0.005501952171325684,
0.005472256183624268,
0.0054568958282470706,
0.0054609918594360355,
0.005446656227111817,
0.005437439918518067,
0.005482495784759522
]
},
"throughput": {
"unit": "samples/s",
"value": 178.4817512421368
},
"energy": {
"unit": "kWh",
"cpu": 6.554859810850942e-08,
"ram": 3.583026622645937e-08,
"gpu": 1.3194148062984163e-07,
"total": 2.3332034496481042e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4285952.860865266
}
}
}
}