cuda
/
cuda_inference_transformers_image-classification_google
/vit-base-patch16-224
/benchmark.json

IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
ead13e2
verified
{ | |
"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", | |
"model": "google/vit-base-patch16-224", | |
"library": "transformers", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"hub_kwargs": { | |
"revision": "main", | |
"force_download": false, | |
"local_files_only": false, | |
"trust_remote_code": false | |
}, | |
"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": "0.9.16", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 911.888384, | |
"max_global_vram": 1057.488896, | |
"max_process_vram": 0.0, | |
"max_reserved": 406.847488, | |
"max_allocated": 364.432384 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 169, | |
"total": 1.0005367369651792, | |
"mean": 0.0059203357216874525, | |
"stdev": 0.00019163485696278295, | |
"p50": 0.00587059211730957, | |
"p90": 0.006157516765594482, | |
"p95": 0.006291884708404541, | |
"p99": 0.006449930248260498, | |
"values": [ | |
0.0065146880149841305, | |
0.0061296639442443845, | |
0.006369279861450195, | |
0.0062638077735900875, | |
0.006136703968048096, | |
0.006222655773162842, | |
0.0061562881469726565, | |
0.0062156801223754886, | |
0.00619212818145752, | |
0.005985280036926269, | |
0.006096896171569824, | |
0.006362112045288086, | |
0.006135807991027832, | |
0.006158336162567139, | |
0.006148096084594727, | |
0.006157311916351318, | |
0.006052864074707031, | |
0.005989376068115234, | |
0.006277120113372803, | |
0.006076416015625, | |
0.005957632064819336, | |
0.005880832195281982, | |
0.005898240089416504, | |
0.005908480167388916, | |
0.006007775783538818, | |
0.005835775852203369, | |
0.006030335903167725, | |
0.005847040176391601, | |
0.005891071796417236, | |
0.005857279777526855, | |
0.005922815799713135, | |
0.0063610877990722655, | |
0.00636518383026123, | |
0.006124544143676758, | |
0.006132736206054688, | |
0.006145023822784424, | |
0.006340608119964599, | |
0.006726528167724609, | |
0.006105088233947754, | |
0.0061337919235229495, | |
0.0059955201148986816, | |
0.006077439785003662, | |
0.005955584049224853, | |
0.0063017277717590334, | |
0.006079487800598145, | |
0.005743775844573975, | |
0.00581324815750122, | |
0.0058787841796875, | |
0.005912576198577881, | |
0.005923840045928955, | |
0.005884928226470947, | |
0.005937151908874512, | |
0.006043647766113281, | |
0.005910528182983398, | |
0.005822463989257813, | |
0.005854207992553711, | |
0.005754879951477051, | |
0.005980160236358643, | |
0.005948416233062744, | |
0.005900288105010986, | |
0.005859327793121338, | |
0.005844992160797119, | |
0.005831583976745606, | |
0.0057794561386108395, | |
0.0057415680885314945, | |
0.005903359889984131, | |
0.005799935817718506, | |
0.005811200141906738, | |
0.006053887844085694, | |
0.005907455921173096, | |
0.005803008079528809, | |
0.005765120029449463, | |
0.005857279777526855, | |
0.005912576198577881, | |
0.005903264045715332, | |
0.006050816059112549, | |
0.00587059211730957, | |
0.00586137580871582, | |
0.00582860803604126, | |
0.005787583827972412, | |
0.0058715839385986325, | |
0.005853184223175049, | |
0.006132736206054688, | |
0.00608460807800293, | |
0.006158336162567139, | |
0.006025216102600098, | |
0.006141952037811279, | |
0.006090816020965576, | |
0.005830783843994141, | |
0.0057712640762329105, | |
0.006039552211761475, | |
0.005720064163208007, | |
0.005755904197692871, | |
0.00561030387878418, | |
0.005672959804534912, | |
0.005980160236358643, | |
0.006108191967010498, | |
0.00587775993347168, | |
0.005698560237884521, | |
0.005811200141906738, | |
0.005751872062683105, | |
0.005795839786529541, | |
0.005873663902282715, | |
0.006121535778045654, | |
0.005874688148498535, | |
0.005942272186279297, | |
0.00601907205581665, | |
0.0062740478515625, | |
0.006001664161682129, | |
0.005917695999145508, | |
0.005725183963775635, | |
0.006419456005096436, | |
0.006128640174865723, | |
0.005857279777526855, | |
0.005783552169799804, | |
0.005778528213500976, | |
0.005700607776641845, | |
0.005798912048339844, | |
0.005716991901397705, | |
0.005701632022857666, | |
0.005822527885437012, | |
0.005832704067230224, | |
0.005783552169799804, | |
0.005961728096008301, | |
0.005848000049591065, | |
0.0057190399169921875, | |
0.005805056095123291, | |
0.005720064163208007, | |
0.005763072013854981, | |
0.0058009600639343266, | |
0.005758975982666016, | |
0.00576204776763916, | |
0.005894144058227539, | |
0.005766176223754883, | |
0.005765120029449463, | |
0.005790719985961914, | |
0.00577023983001709, | |
0.00581324815750122, | |
0.005723135948181152, | |
0.0058726401329040525, | |
0.005907455921173096, | |
0.0058111357688903804, | |
0.005883903980255127, | |
0.005816319942474365, | |
0.005730303764343261, | |
0.00576204776763916, | |
0.0057712640762329105, | |
0.005751808166503906, | |
0.0057825279235839844, | |
0.005734399795532226, | |
0.005811200141906738, | |
0.0057712640762329105, | |
0.005810175895690918, | |
0.005780479907989502, | |
0.005795839786529541, | |
0.0057149438858032225, | |
0.005786623954772949, | |
0.005755839824676513, | |
0.005690368175506591, | |
0.0057292799949646, | |
0.005633024215698243, | |
0.005687295913696289, | |
0.005687295913696289, | |
0.005702655792236328, | |
0.005772287845611572, | |
0.005782559871673584, | |
0.005739520072937012, | |
0.005725183963775635, | |
0.005814271926879883 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 168.90934011339706 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 6.758813755680816e-08, | |
"ram": 3.693851211892251e-08, | |
"gpu": 3.274813225909061e-07, | |
"total": 4.320079722666368e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 2314772.097267679 | |
} | |
} | |
} | |
} |