Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
cuda / cuda_inference_transformers_image-classification_google /vit-base-patch16-224 /benchmark.json
IlyasMoutawwakil's picture
IlyasMoutawwakil HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
5d9dfe2 verified
raw
history blame
12 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_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,
"latency": true,
"memory": 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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.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": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 909.991936,
"max_global_vram": 1057.488896,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 364.432384
},
"latency": {
"unit": "s",
"count": 170,
"total": 0.9968906579017642,
"mean": 0.005864062693539789,
"stdev": 0.00018141726676956611,
"p50": 0.005851136207580566,
"p90": 0.0059588606357574465,
"p95": 0.006003660869598389,
"p99": 0.006862643094062805,
"values": [
0.006202367782592774,
0.005985280036926269,
0.0059391999244689945,
0.006007808208465576,
0.005985280036926269,
0.00601907205581665,
0.005955584049224853,
0.0059985918998718265,
0.005970943927764893,
0.005986303806304932,
0.00597811222076416,
0.005902400016784668,
0.006020063877105713,
0.005958655834197998,
0.005911551952362061,
0.005898240089416504,
0.005832704067230224,
0.005798912048339844,
0.005736447811126709,
0.005827648162841797,
0.005828544139862061,
0.005901311874389649,
0.005924863815307617,
0.00591871976852417,
0.005923840045928955,
0.0059023361206054685,
0.0058419198989868165,
0.005883903980255127,
0.005837823867797852,
0.005879807949066162,
0.005911551952362061,
0.0059064321517944334,
0.005960703849792481,
0.005929984092712402,
0.005942272186279297,
0.005925888061523437,
0.005851136207580566,
0.005851136207580566,
0.005941247940063477,
0.005859295845031739,
0.005914624214172363,
0.00581324815750122,
0.005753856182098388,
0.00572211217880249,
0.005756927967071533,
0.005766143798828125,
0.005735231876373291,
0.005733376026153565,
0.0057990398406982425,
0.005819392204284668,
0.005777408123016357,
0.005796864032745362,
0.005840896129608154,
0.005886047840118408,
0.005897215843200684,
0.006009856224060059,
0.005864480018615723,
0.005892064094543457,
0.005832704067230224,
0.005851136207580566,
0.005790719985961914,
0.005876736164093017,
0.005890048027038574,
0.005891071796417236,
0.005859327793121338,
0.0058295679092407226,
0.0058726401329040525,
0.0057712640762329105,
0.005766143798828125,
0.0058787841796875,
0.005836800098419189,
0.0057794561386108395,
0.005868544101715088,
0.0059064321517944334,
0.005772287845611572,
0.005732351779937744,
0.005739520072937012,
0.005795839786529541,
0.0058091521263122555,
0.005796800136566162,
0.005765120029449463,
0.005780479907989502,
0.005776383876800537,
0.005839903831481933,
0.005874688148498535,
0.005893119812011719,
0.005890079975128174,
0.005892096042633056,
0.005880832195281982,
0.00588595199584961,
0.005826560020446778,
0.005806079864501953,
0.005835775852203369,
0.005785600185394287,
0.0057712640762329105,
0.005857279777526855,
0.005803008079528809,
0.0057149438858032225,
0.0056780800819396975,
0.005545983791351319,
0.005635072231292724,
0.005748672008514404,
0.0056780800819396975,
0.005535744190216065,
0.005504000186920166,
0.005478400230407715,
0.005504000186920166,
0.005535679817199707,
0.005755904197692871,
0.005754879951477051,
0.005718048095703125,
0.005724160194396972,
0.0058388481140136715,
0.005917727947235107,
0.006945792198181152,
0.006919167995452881,
0.006837247848510742,
0.006628352165222168,
0.005633024215698243,
0.00592793607711792,
0.005924863815307617,
0.005993472099304199,
0.005956607818603516,
0.005911551952362061,
0.005895167827606201,
0.0058798398971557616,
0.0058419198989868165,
0.005876736164093017,
0.005860352039337159,
0.0058757119178771975,
0.005854207992553711,
0.005909503936767578,
0.005944320201873779,
0.0058715839385986325,
0.005868544101715088,
0.0058419198989868165,
0.005882880210876465,
0.005850111961364746,
0.005895167827606201,
0.005843967914581299,
0.0059351038932800295,
0.005928959846496582,
0.0058419198989868165,
0.00581324815750122,
0.005883903980255127,
0.005817344188690185,
0.0058388481140136715,
0.005832640171051026,
0.0058644161224365235,
0.005819392204284668,
0.005866496086120605,
0.005835775852203369,
0.00582041597366333,
0.005888000011444092,
0.005852159976959229,
0.005839807987213135,
0.0058429441452026365,
0.005813151836395264,
0.005832767963409423,
0.005881855964660645,
0.00586240005493164,
0.005794816017150879,
0.00576204776763916,
0.005780479907989502,
0.005784575939178467,
0.005786623954772949,
0.005798975944519043,
0.005772384166717529,
0.005794976234436035,
0.005837823867797852
]
},
"throughput": {
"unit": "samples/s",
"value": 170.53023684444256
},
"energy": {
"unit": "kWh",
"cpu": 6.85970607007905e-08,
"ram": 3.7395178790983006e-08,
"gpu": 3.3843737164367717e-07,
"total": 4.4442961113545066e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2250075.0961331106
}
}
}
}