IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
61b1748 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": 827.285504,
"max_global_vram": 1030.22592,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.36574169921875,
"mean": 7.36574169921875,
"stdev": 0.0,
"p50": 7.36574169921875,
"p90": 7.36574169921875,
"p95": 7.36574169921875,
"p99": 7.36574169921875,
"values": [
7.36574169921875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.4687760701382523e-06,
"ram": 7.892456315977909e-07,
"gpu": 1.7244458240008032e-06,
"total": 3.982467525736846e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1036.632064,
"max_global_vram": 1049.100288,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"count": 185,
"total": 0.9948326120376583,
"mean": 0.005377473578581939,
"stdev": 0.00017832619467806243,
"p50": 0.005339200019836426,
"p90": 0.005652684688568115,
"p95": 0.005723750591278076,
"p99": 0.00589997049331665,
"values": [
0.005455904006958008,
0.005443583965301513,
0.00552345609664917,
0.005455872058868408,
0.005449728012084961,
0.0054917120933532714,
0.005471231937408447,
0.005468160152435303,
0.005420032024383545,
0.005408768177032471,
0.00550707197189331,
0.005398528099060058,
0.005388288021087646,
0.005406720161437988,
0.005362688064575195,
0.005398528099060058,
0.0053637118339538575,
0.00522649621963501,
0.005189631938934326,
0.005254144191741943,
0.005287936210632324,
0.005296192169189453,
0.005400576114654541,
0.005396480083465576,
0.005444608211517334,
0.005398528099060058,
0.00538316822052002,
0.005391359806060791,
0.005298175811767578,
0.005288959980010987,
0.005411839962005615,
0.00535756778717041,
0.005378047943115235,
0.005419007778167725,
0.005354496002197265,
0.0053534722328186036,
0.005417984008789062,
0.005339136123657226,
0.00531660795211792,
0.0053821439743042,
0.005339168071746826,
0.0053534722328186036,
0.005402624130249023,
0.0053340158462524415,
0.005283840179443359,
0.005219327926635742,
0.005188608169555664,
0.005208064079284668,
0.0053002238273620605,
0.0052971520423889164,
0.005339200019836426,
0.005347328186035156,
0.005295104026794434,
0.005337088108062744,
0.005420032024383545,
0.005408768177032471,
0.005868544101715088,
0.005660672187805176,
0.005725183963775635,
0.005764095783233642,
0.00572211217880249,
0.005629951953887939,
0.005724160194396972,
0.005701632022857666,
0.005628928184509278,
0.005716991901397705,
0.0063487358093261715,
0.005677055835723877,
0.005653503894805908,
0.00568012809753418,
0.005291007995605469,
0.0052367358207702636,
0.005315584182739258,
0.005393439769744873,
0.005320703983306885,
0.005432320117950439,
0.0053944320678710935,
0.0052705278396606445,
0.005340159893035889,
0.005292031764984131,
0.005295104026794434,
0.005345280170440674,
0.00530944013595581,
0.0053012480735778805,
0.005370880126953125,
0.005321728229522705,
0.005355519771575928,
0.005475327968597412,
0.005407743930816651,
0.005389311790466309,
0.0054282240867614745,
0.005410816192626953,
0.005390336036682129,
0.005407743930816651,
0.005384191989898681,
0.005388288021087646,
0.005355519771575928,
0.0052367358207702636,
0.005370880126953125,
0.005355519771575928,
0.005241856098175048,
0.005220352172851562,
0.00520908784866333,
0.005099520206451416,
0.005055488109588623,
0.005191679954528809,
0.005284863948822022,
0.005142560005187988,
0.005088255882263183,
0.0050094079971313476,
0.005017600059509277,
0.005017600059509277,
0.005098495960235596,
0.005047296047210693,
0.005189568042755127,
0.005703680038452149,
0.005470208168029785,
0.005513279914855957,
0.0056514558792114256,
0.005629983901977539,
0.005734399795532226,
0.005462016105651855,
0.005434368133544922,
0.00542310380935669,
0.005339136123657226,
0.005341184139251709,
0.005356544017791748,
0.005272575855255127,
0.005320703983306885,
0.00532480001449585,
0.0052930560111999515,
0.005295167922973633,
0.005346303939819336,
0.005302271842956543,
0.0052899842262268066,
0.005326848030090332,
0.005287936210632324,
0.005253119945526123,
0.005255167961120606,
0.005257215976715088,
0.005594111919403076,
0.005264383792877197,
0.005274623870849609,
0.0052899842262268066,
0.005273600101470947,
0.005337088108062744,
0.0052705278396606445,
0.0052971520423889164,
0.005257215976715088,
0.005275648117065429,
0.00530838394165039,
0.005262335777282715,
0.005255167961120606,
0.005286911964416504,
0.0052715520858764645,
0.005477375984191894,
0.005751808166503906,
0.00530841588973999,
0.005443583965301513,
0.005319680213928223,
0.005285888195037842,
0.006027328014373779,
0.005814239978790283,
0.005406720161437988,
0.005284863948822022,
0.005298175811767578,
0.005395455837249756,
0.005311488151550293,
0.00530944013595581,
0.005307392120361328,
0.005255136013031006,
0.005276671886444092,
0.005349376201629639,
0.005250048160552978,
0.005256192207336426,
0.005297120094299316,
0.005283840179443359,
0.005258240222930908,
0.005303296089172363,
0.005245952129364013,
0.005255167961120606,
0.005686272144317627,
0.0058757119178771975,
0.005332992076873779,
0.005284863948822022
]
},
"throughput": {
"unit": "samples/s",
"value": 185.96093228294464
},
"energy": {
"unit": "kWh",
"cpu": 6.203718460587914e-08,
"ram": 3.3899203338811385e-08,
"gpu": 3.531678218010474e-07,
"total": 4.4910420974573796e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2226654.701291163
}
}
}
}