IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
b24188a verified
raw
history blame
13.8 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 826.847232,
"max_global_vram": 1030.22592,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.44768115234375,
"mean": 7.44768115234375,
"stdev": 0.0,
"p50": 7.44768115234375,
"p90": 7.44768115234375,
"p95": 7.44768115234375,
"p99": 7.44768115234375,
"values": [
7.44768115234375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.4718612868048492e-06,
"ram": 7.863097717285889e-07,
"gpu": 1.6972235800001567e-06,
"total": 3.955394638533595e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1036.73856,
"max_global_vram": 1049.100288,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"count": 185,
"total": 0.9946019835472103,
"mean": 0.005376226938093031,
"stdev": 0.00020694662468064871,
"p50": 0.005409791946411133,
"p90": 0.005593702411651611,
"p95": 0.005652889537811279,
"p99": 0.005829508972167968,
"values": [
0.00568832015991211,
0.005590015888214111,
0.005723135948181152,
0.005601280212402344,
0.005569536209106446,
0.005718080043792725,
0.005549056053161621,
0.005692416191101074,
0.0055511040687561035,
0.0055511040687561035,
0.005639135837554932,
0.005454847812652588,
0.005578752040863037,
0.005467135906219483,
0.005493760108947754,
0.005637119770050049,
0.005385216236114502,
0.005417984008789062,
0.0053975038528442385,
0.005388288021087646,
0.0055623679161071774,
0.005444608211517334,
0.005536767959594726,
0.005594111919403076,
0.00550707197189331,
0.0056555519104003905,
0.00552345609664917,
0.005453824043273926,
0.00548140811920166,
0.005459968090057373,
0.005641215801239013,
0.005504000186920166,
0.005544000148773194,
0.005607423782348633,
0.005499904155731201,
0.00570470380783081,
0.005506048202514649,
0.005543968200683594,
0.005593088150024414,
0.00551526403427124,
0.005549056053161621,
0.005537792205810547,
0.005511168003082275,
0.005587967872619629,
0.005362688064575195,
0.005341184139251709,
0.005454880237579346,
0.005390336036682129,
0.0055552000999450684,
0.005427264213562012,
0.005446656227111817,
0.005537792205810547,
0.005453824043273926,
0.0055203838348388675,
0.005583871841430664,
0.005502975940704345,
0.005642240047454834,
0.005475327968597412,
0.005574656009674072,
0.005535744190216065,
0.005390336036682129,
0.005527552127838135,
0.005511168003082275,
0.005519360065460205,
0.005586944103240967,
0.005425151824951172,
0.006386688232421875,
0.005536767959594726,
0.005535744190216065,
0.005446656227111817,
0.005368800163269043,
0.005585919857025146,
0.005433343887329102,
0.005656576156616211,
0.005952511787414551,
0.005484543800354004,
0.005488639831542969,
0.005434368133544922,
0.0054579200744628905,
0.005481472015380859,
0.005421055793762207,
0.005492735862731934,
0.005431327819824219,
0.005806079864501953,
0.005529600143432617,
0.005545983791351319,
0.005619711875915527,
0.005538815975189209,
0.005530623912811279,
0.005553184032440185,
0.0054906878471374515,
0.005578752040863037,
0.005453824043273926,
0.005499904155731201,
0.00556441593170166,
0.005409791946411133,
0.005352447986602784,
0.005485568046569824,
0.0054148159027099605,
0.005368735790252686,
0.005349376201629639,
0.005319680213928223,
0.005251071929931641,
0.005250048160552978,
0.00537497615814209,
0.005392384052276611,
0.00520908784866333,
0.005143583774566651,
0.005175295829772949,
0.0051701760292053225,
0.005165056228637695,
0.005403647899627686,
0.0053340158462524415,
0.005352447986602784,
0.00538316822052002,
0.005336031913757324,
0.005340159893035889,
0.0054988799095153805,
0.005482495784759522,
0.005638144016265869,
0.005370880126953125,
0.005165056228637695,
0.0051476478576660155,
0.0051701760292053225,
0.005156864166259765,
0.005137407779693603,
0.0051435518264770505,
0.005187583923339844,
0.0051363840103149415,
0.005163008213043213,
0.005213183879852295,
0.005158912181854248,
0.005175295829772949,
0.005220352172851562,
0.00525932788848877,
0.005149695873260498,
0.005154816150665284,
0.005183487892150879,
0.005123072147369385,
0.005144576072692871,
0.0051701760292053225,
0.005126143932342529,
0.005145599842071533,
0.0051476478576660155,
0.005125120162963868,
0.005152768135070801,
0.005135359764099121,
0.005149695873260498,
0.005131264209747314,
0.005105663776397705,
0.00515993595123291,
0.005135359764099121,
0.005115903854370117,
0.005124095916748047,
0.005137407779693603,
0.0051138558387756345,
0.005129216194152832,
0.005151679992675781,
0.005145599842071533,
0.005148672103881836,
0.005117951869964599,
0.005141503810882568,
0.005126143932342529,
0.005154816150665284,
0.005164031982421875,
0.005119999885559082,
0.005135359764099121,
0.005156864166259765,
0.005215231895446777,
0.005111807823181152,
0.005134335994720459,
0.005126143932342529,
0.005134335994720459,
0.005135359764099121,
0.005158912181854248,
0.005117951869964599,
0.005114880084991455,
0.005115903854370117,
0.0051476478576660155,
0.005130239963531494,
0.005134335994720459,
0.0051701760292053225,
0.005123072147369385,
0.005141503810882568,
0.005129216194152832
]
},
"throughput": {
"unit": "samples/s",
"value": 186.00405293804505
},
"energy": {
"unit": "kWh",
"cpu": 5.991095753016413e-08,
"ram": 3.275034416850256e-08,
"gpu": 3.425451674141396e-07,
"total": 4.352064691128063e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2297759.9621590143
}
}
}
}