IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
d134148 verified
raw
history blame
11.2 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": false,
"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 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "9a8b29987613b8b04c221447a49b37ee314548ff",
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1061.072896,
"max_global_vram": 778.256384,
"max_process_vram": 157937.39776,
"max_reserved": 406.847488,
"max_allocated": 355.30752
},
"latency": {
"unit": "s",
"count": 155,
"total": 0.9973683018684386,
"mean": 0.00643463420560283,
"stdev": 0.000273631736181437,
"p50": 0.006365777015686035,
"p90": 0.006790834712982178,
"p95": 0.006931091022491455,
"p99": 0.007284669666290288,
"values": [
0.0076096210479736325,
0.006539857864379882,
0.006474256992340088,
0.006242416858673096,
0.006233457088470459,
0.006221617221832275,
0.006234577178955078,
0.006222736835479736,
0.006232656955718994,
0.0061974568367004395,
0.006202897071838379,
0.00648209810256958,
0.006195536136627197,
0.0061347360610961915,
0.006178256988525391,
0.006188336849212646,
0.006192337036132813,
0.006147537231445312,
0.006533777236938477,
0.006214736938476562,
0.006198737144470215,
0.006183856964111328,
0.006210096836090088,
0.006320656776428223,
0.006163376808166504,
0.006172657012939453,
0.0062347369194030765,
0.0062366571426391605,
0.006262257099151612,
0.006270417213439941,
0.00621217679977417,
0.006214416980743408,
0.006184657096862793,
0.006230737209320068,
0.0062262568473815914,
0.006211377143859863,
0.006247537136077881,
0.006281776905059815,
0.006212337017059326,
0.006293937206268311,
0.006172815799713135,
0.006263856887817383,
0.006356976985931397,
0.006348337173461914,
0.0063057770729064945,
0.006280497074127197,
0.0063038568496704105,
0.006226097106933594,
0.006200336933135987,
0.006484976768493652,
0.0069304189682006835,
0.006583377838134765,
0.006428177833557129,
0.0064934568405151365,
0.006510577201843262,
0.006560818195343017,
0.006446417808532715,
0.006762897968292237,
0.006534897804260254,
0.006570737838745117,
0.006467856884002685,
0.006724818229675293,
0.006608017921447754,
0.006499378204345703,
0.006496177196502685,
0.006604177951812744,
0.006440338134765625,
0.006489937782287598,
0.0063417768478393555,
0.006328176975250244,
0.0063185768127441404,
0.006152496814727783,
0.006365777015686035,
0.006397936820983887,
0.006254577159881592,
0.006341136932373047,
0.006171856880187988,
0.006478737831115722,
0.0062824168205261235,
0.006185777187347412,
0.006308496952056885,
0.006642578125,
0.0068784189224243165,
0.00693441915512085,
0.006416656970977783,
0.0061369771957397465,
0.006152816772460937,
0.006137775897979736,
0.006341617107391357,
0.006174417018890381,
0.0061604962348937985,
0.006144657135009766,
0.006173296928405762,
0.0061376171112060545,
0.006195217132568359,
0.006275537014007568,
0.0065862579345703125,
0.006944018840789795,
0.006939857959747314,
0.0069600181579589845,
0.006587377071380615,
0.006570736885070801,
0.006588657855987549,
0.006905619144439697,
0.0068444981575012205,
0.007007859230041504,
0.007816340923309326,
0.006590258121490478,
0.006720017910003662,
0.006606897830963135,
0.006495697975158692,
0.006528977870941162,
0.006494097232818604,
0.006494418144226074,
0.006542257785797119,
0.006195056915283203,
0.006182096958160401,
0.006190896034240723,
0.006238895893096924,
0.00637265682220459,
0.006195376873016358,
0.0062329769134521484,
0.006236816883087158,
0.006227857112884522,
0.0061804971694946285,
0.006248336791992187,
0.006651857852935791,
0.006414896965026855,
0.006416818141937256,
0.006405617237091064,
0.006886579036712646,
0.00679249906539917,
0.006911538124084473,
0.006653937816619873,
0.006780337810516357,
0.006546257972717285,
0.006619217872619629,
0.00663009786605835,
0.006932659149169922,
0.006922099113464355,
0.006445937156677246,
0.006782419204711914,
0.00656513786315918,
0.006473456859588623,
0.006212656974792481,
0.006254897117614746,
0.006441137790679932,
0.006642097949981689,
0.006433457851409912,
0.006788338184356689,
0.006758418083190918,
0.006438416957855225,
0.006567536830902099,
0.00666769790649414,
0.006433137893676758
]
},
"throughput": {
"unit": "samples/s",
"value": 155.4089895474198
},
"energy": null,
"efficiency": null
}
}
}