IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
6166610 verified
raw
history blame
13.8 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": 66697.252864,
"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": 839.8848,
"max_global_vram": 1030.22592,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.88703955078125,
"mean": 7.88703955078125,
"stdev": 0.0,
"p50": 7.88703955078125,
"p90": 7.88703955078125,
"p95": 7.88703955078125,
"p99": 7.88703955078125,
"values": [
7.88703955078125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.4692055562505067e-06,
"ram": 7.895030696142821e-07,
"gpu": 1.6361124199996968e-06,
"total": 3.894821045864486e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1048.150016,
"max_global_vram": 1049.100288,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"count": 186,
"total": 0.9982584657669066,
"mean": 0.0053669809987468104,
"stdev": 0.00018787244445486436,
"p50": 0.005344255924224854,
"p90": 0.005612527847290039,
"p95": 0.00566042411327362,
"p99": 0.005761279892921448,
"values": [
0.005710847854614258,
0.005600255966186523,
0.0057292799949646,
0.005611455917358398,
0.005662720203399658,
0.005666816234588623,
0.005666848182678223,
0.005372928142547607,
0.005452735900878906,
0.005652480125427246,
0.006016992092132569,
0.005598207950592041,
0.005536767959594726,
0.00552345609664917,
0.005530623912811279,
0.005532671928405761,
0.005555168151855468,
0.005288896083831787,
0.005164031982421875,
0.005091328144073487,
0.0051221117973327636,
0.005099520206451416,
0.005237760066986084,
0.005494880199432373,
0.005511168003082275,
0.005571584224700928,
0.005407743930816651,
0.005557248115539551,
0.005746687889099121,
0.005624832153320313,
0.005540863990783691,
0.005641183853149414,
0.005436416149139404,
0.0055511040687561035,
0.005540863990783691,
0.00557260799407959,
0.005325823783874512,
0.005284863948822022,
0.005298175811767578,
0.005298175811767578,
0.005441535949707031,
0.005586944103240967,
0.005295167922973633,
0.005216256141662597,
0.005287968158721924,
0.005254144191741943,
0.005436416149139404,
0.00572211217880249,
0.0054906878471374515,
0.00542310380935669,
0.005392384052276611,
0.00535756778717041,
0.005434271812438965,
0.005195775985717774,
0.0051957440376281736,
0.005245952129364013,
0.005219327926635742,
0.005210112094879151,
0.005250048160552978,
0.0053043198585510255,
0.005626880168914795,
0.005574656009674072,
0.005349376201629639,
0.005296127796173096,
0.005563392162322998,
0.005643263816833496,
0.005843967914581299,
0.0055316481590271,
0.005541888236999512,
0.005486591815948487,
0.005501952171325684,
0.0055808000564575196,
0.005351424217224121,
0.005303296089172363,
0.005516287803649903,
0.005552127838134766,
0.005530623912811279,
0.005647264003753662,
0.005442560195922852,
0.005458879947662354,
0.0051753602027893066,
0.0052326078414916995,
0.005238783836364746,
0.005390336036682129,
0.005618688106536865,
0.00568012809753418,
0.005509119987487793,
0.005486591815948487,
0.00551526403427124,
0.005465087890625,
0.005526527881622314,
0.005287936210632324,
0.005521376132965088,
0.00552243185043335,
0.0055285758972167965,
0.005482495784759522,
0.005370880126953125,
0.005322751998901368,
0.0053606400489807126,
0.0053012480735778805,
0.005314559936523438,
0.005467135906219483,
0.0055848960876464845,
0.00561359977722168,
0.005547008037567139,
0.005511168003082275,
0.0055848960876464845,
0.005223423957824707,
0.005119999885559082,
0.005422048091888428,
0.005601280212402344,
0.005482495784759522,
0.005473311901092529,
0.005417984008789062,
0.005280767917633057,
0.005195775985717774,
0.005348351955413819,
0.0054579200744628905,
0.005340159893035889,
0.005203968048095703,
0.005243904113769531,
0.0052367358207702636,
0.005164031982421875,
0.0053647360801696775,
0.005400576114654541,
0.005422143936157226,
0.0053975038528442385,
0.0054579200744628905,
0.005519360065460205,
0.005599232196807862,
0.005653535842895508,
0.005443583965301513,
0.005325823783874512,
0.005182496070861816,
0.0052008957862854,
0.005245952129364013,
0.00521830415725708,
0.005252096176147461,
0.0053012480735778805,
0.005235712051391602,
0.005161983966827393,
0.005228544235229492,
0.0051701760292053225,
0.005163008213043213,
0.005183487892150879,
0.0052008957862854,
0.005208064079284668,
0.005187583923339844,
0.005251071929931641,
0.00515180778503418,
0.005155839920043945,
0.005208064079284668,
0.00516812801361084,
0.005174272060394287,
0.0052008957862854,
0.005173344135284424,
0.0051333122253417966,
0.005153791904449463,
0.005172224044799805,
0.00511897611618042,
0.005132287979125977,
0.005174272060394287,
0.005156864166259765,
0.0051701760292053225,
0.005133247852325439,
0.005211103916168213,
0.005144576072692871,
0.005158912181854248,
0.005180416107177735,
0.005139455795288086,
0.005144576072692871,
0.00517632007598877,
0.005182464122772217,
0.005142560005187988,
0.005172224044799805,
0.005180416107177735,
0.005157887935638428,
0.005175295829772949,
0.005182464122772217,
0.005140384197235107,
0.005153791904449463,
0.005180319786071777,
0.005097472190856934,
0.0051066880226135255,
0.005054463863372802,
0.005119999885559082
]
},
"throughput": {
"unit": "samples/s",
"value": 186.32449047863219
},
"energy": {
"unit": "kWh",
"cpu": 5.919479746527599e-08,
"ram": 3.236611901300136e-08,
"gpu": 3.512502810000019e-07,
"total": 4.428111974782793e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2258298.809277631
}
}
}
}