IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
175e6d1 verified
raw
history blame
12.1 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": 909.565952,
"max_global_vram": 1057.488896,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 364.432384
},
"latency": {
"unit": "s",
"count": 172,
"total": 0.9990000643730157,
"mean": 0.005808139909145444,
"stdev": 0.00016542888290475656,
"p50": 0.005788671970367432,
"p90": 0.005888000011444092,
"p95": 0.005929830384254455,
"p99": 0.006688982882499694,
"values": [
0.006156223773956299,
0.005859327793121338,
0.005888000011444092,
0.005883903980255127,
0.005910528182983398,
0.005923840045928955,
0.005896192073822021,
0.005856256008148194,
0.005912576198577881,
0.005849088191986084,
0.005894144058227539,
0.005804031848907471,
0.006042623996734619,
0.006352896213531494,
0.005690368175506591,
0.00547430419921875,
0.005662720203399658,
0.005783552169799804,
0.005880832195281982,
0.005823488235473633,
0.005823488235473633,
0.005811200141906738,
0.00588595199584961,
0.005855231761932373,
0.005808127880096436,
0.005814271926879883,
0.0058429441452026365,
0.005808127880096436,
0.0057866559028625485,
0.005816319942474365,
0.005788671970367432,
0.005808127880096436,
0.005788671970367432,
0.005801983833312988,
0.005883903980255127,
0.005859327793121338,
0.005793791770935058,
0.005774335861206055,
0.005823488235473633,
0.005761023998260498,
0.005808191776275635,
0.005773312091827393,
0.005799935817718506,
0.005758975982666016,
0.005876736164093017,
0.0057794561386108395,
0.005798912048339844,
0.005808159828186035,
0.005796895980834961,
0.005837823867797852,
0.005804031848907471,
0.005811200141906738,
0.005786623954772949,
0.005830656051635743,
0.005818367958068848,
0.005814271926879883,
0.005801983833312988,
0.005797887802124023,
0.005788671970367432,
0.0057784318923950195,
0.005796864032745362,
0.005817344188690185,
0.005818367958068848,
0.005805056095123291,
0.0058091521263122555,
0.0057825279235839844,
0.005798912048339844,
0.005757952213287353,
0.005859327793121338,
0.005834752082824707,
0.0057794561386108395,
0.005889023780822754,
0.005888000011444092,
0.005806079864501953,
0.005808127880096436,
0.005799935817718506,
0.0057487359046936035,
0.005793791770935058,
0.00574560022354126,
0.0057825279235839844,
0.00576204776763916,
0.005766143798828125,
0.005795839786529541,
0.0057497601509094234,
0.005803008079528809,
0.005736447811126709,
0.005788671970367432,
0.005753856182098388,
0.005783552169799804,
0.005766143798828125,
0.005780479907989502,
0.005779520034790039,
0.0057497601509094234,
0.00586956787109375,
0.005809055805206299,
0.005854207992553711,
0.005815296173095703,
0.0057149438858032225,
0.005673984050750733,
0.005690336227416992,
0.005781504154205322,
0.005768288135528565,
0.005699584007263184,
0.005724160194396972,
0.005763072013854981,
0.005747712135314941,
0.005796927928924561,
0.005819392204284668,
0.005792768001556397,
0.005770304203033447,
0.005801983833312988,
0.005765056133270264,
0.0057712640762329105,
0.005792768001556397,
0.005776383876800537,
0.005796864032745362,
0.005811200141906738,
0.0066744318008422855,
0.00679423999786377,
0.006724607944488525,
0.006662144184112549,
0.005942272186279297,
0.005922815799713135,
0.005892096042633056,
0.005937151908874512,
0.005754879951477051,
0.005825535774230957,
0.0057292799949646,
0.005768191814422607,
0.0057190399169921875,
0.005774335861206055,
0.00572211217880249,
0.005783552169799804,
0.0057067198753356935,
0.005673984050750733,
0.005649407863616943,
0.005595136165618897,
0.005650432109832764,
0.005697535991668701,
0.005607423782348633,
0.005653439998626709,
0.005615615844726562,
0.0058009600639343266,
0.00568012809753418,
0.005739520072937012,
0.005724160194396972,
0.00573747205734253,
0.005702655792236328,
0.005695487976074219,
0.005738495826721191,
0.005727231979370117,
0.0057190399169921875,
0.005682176113128662,
0.005752831935882568,
0.005773312091827393,
0.00568832015991211,
0.0057702078819274905,
0.0056780800819396975,
0.0057374401092529295,
0.005703680038452149,
0.005819392204284668,
0.005758975982666016,
0.005756927967071533,
0.005698560237884521,
0.005688352108001709,
0.005732351779937744,
0.005767168045043946,
0.005725183963775635,
0.005694464206695556,
0.005735424041748047,
0.0057077760696411135,
0.005693439960479736
]
},
"throughput": {
"unit": "samples/s",
"value": 172.17216107783648
},
"energy": {
"unit": "kWh",
"cpu": 6.697160114077601e-08,
"ram": 3.661104193748018e-08,
"gpu": 3.6456243854237175e-07,
"total": 4.681450816206279e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2136089.941473257
}
}
}
}