IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
e0bb5a2 verified
raw
history blame
13.7 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"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": {},
"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": 66697.261056,
"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": 827.641856,
"max_global_vram": 1030.22592,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.43257177734375,
"mean": 7.43257177734375,
"stdev": 0.0,
"p50": 7.43257177734375,
"p90": 7.43257177734375,
"p95": 7.43257177734375,
"p99": 7.43257177734375,
"values": [
7.43257177734375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.5044465444444674e-06,
"ram": 8.080583849584127e-07,
"gpu": 1.631667971999963e-06,
"total": 3.944172901402843e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1037.316096,
"max_global_vram": 1049.100288,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"count": 182,
"total": 0.9972529282569883,
"mean": 0.005479411693719717,
"stdev": 0.000268677685875236,
"p50": 0.005486079931259155,
"p90": 0.005722111940383912,
"p95": 0.0058191874027252195,
"p99": 0.006566131801605224,
"values": [
0.006532095909118653,
0.00671123218536377,
0.006309887886047363,
0.005698560237884521,
0.005914624214172363,
0.006049791812896729,
0.005774335861206055,
0.005649407863616943,
0.005767168045043946,
0.005662720203399658,
0.005833727836608887,
0.005669888019561768,
0.005649407863616943,
0.0056258559226989744,
0.005709824085235596,
0.005628928184509278,
0.00553984022140503,
0.005467135906219483,
0.005432320117950439,
0.005493760108947754,
0.005735392093658447,
0.005776383876800537,
0.005675007820129394,
0.00563097620010376,
0.005695487976074219,
0.00563097620010376,
0.005610496044158936,
0.005332992076873779,
0.005241856098175048,
0.005223423957824707,
0.005404640197753907,
0.005356544017791748,
0.005380095958709717,
0.005408768177032471,
0.005327871799468994,
0.005348351955413819,
0.005359615802764893,
0.00530944013595581,
0.00530841588973999,
0.005331967830657959,
0.005323775768280029,
0.005677055835723877,
0.005649343967437744,
0.0055316481590271,
0.005491648197174072,
0.005430272102355957,
0.0054282240867614745,
0.005518303871154785,
0.005488639831542969,
0.005575679779052735,
0.0055511040687561035,
0.0055920639038085935,
0.005529600143432617,
0.005500927925109863,
0.0056258559226989744,
0.005899263858795166,
0.005644351959228516,
0.005656576156616211,
0.005618688106536865,
0.005679103851318359,
0.005596159934997558,
0.005683199882507324,
0.00553984022140503,
0.005597184181213379,
0.0056258559226989744,
0.005598207950592041,
0.005754879951477051,
0.005612544059753418,
0.005634047985076904,
0.005650432109832764,
0.0055101442337036136,
0.005569536209106446,
0.005534719944000244,
0.00553984022140503,
0.005563392162322998,
0.00563097620010376,
0.005649407863616943,
0.0054917120933532714,
0.005696512222290039,
0.005639167785644531,
0.005695487976074219,
0.0056483840942382815,
0.005483520030975342,
0.005575583934783935,
0.005496831893920898,
0.0055511040687561035,
0.005609471797943116,
0.005723135948181152,
0.005747712135314941,
0.005643263816833496,
0.00571289587020874,
0.005660672187805176,
0.005620736122131348,
0.005654528141021729,
0.005603328227996827,
0.00582144021987915,
0.005573631763458252,
0.005481472015380859,
0.005591040134429932,
0.00556441593170166,
0.005552127838134766,
0.005459968090057373,
0.005447679996490478,
0.005338111877441406,
0.005323775768280029,
0.005519360065460205,
0.005532671928405761,
0.005310463905334473,
0.005254144191741943,
0.005458943843841553,
0.005284863948822022,
0.005421055793762207,
0.005732351779937744,
0.006398975849151611,
0.006716415882110595,
0.005552127838134766,
0.005396480083465576,
0.005496831893920898,
0.005627903938293457,
0.005390431880950928,
0.00531766414642334,
0.005234687805175781,
0.0052295680046081545,
0.005269504070281982,
0.005278719902038574,
0.005250048160552978,
0.005312511920928955,
0.0053340158462524415,
0.005245952129364013,
0.0052336640357971195,
0.005408768177032471,
0.0052971520423889164,
0.005323775768280029,
0.005210112094879151,
0.005187583923339844,
0.0051998720169067385,
0.005222400188446045,
0.005190656185150146,
0.005173247814178467,
0.0052111358642578124,
0.005188672065734863,
0.005194752216339111,
0.005202943801879883,
0.005194752216339111,
0.005198847770690918,
0.005197824001312256,
0.005201856136322022,
0.005171199798583984,
0.005208064079284668,
0.005249023914337158,
0.005186560153961181,
0.0051701760292053225,
0.005239808082580567,
0.00517632007598877,
0.005214208126068115,
0.005222400188446045,
0.005201920032501221,
0.005202943801879883,
0.00522547197341919,
0.005227519989013672,
0.005216256141662597,
0.005206016063690186,
0.005223423957824707,
0.005735424041748047,
0.005210112094879151,
0.005215231895446777,
0.005178368091583252,
0.005215231895446777,
0.005221375942230225,
0.005227519989013672,
0.005214208126068115,
0.005272543907165527,
0.005547008037567139,
0.005242879867553711,
0.005296127796173096,
0.005185567855834961,
0.005189631938934326,
0.005197824001312256,
0.00521727991104126,
0.0051998720169067385,
0.005222400188446045,
0.0051998720169067385
]
},
"throughput": {
"unit": "samples/s",
"value": 182.50134428594956
},
"energy": {
"unit": "kWh",
"cpu": 5.807638414351568e-08,
"ram": 3.175350118324593e-08,
"gpu": 3.553270816470599e-07,
"total": 4.451569669738215e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2246398.62832655
}
}
}
}