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
8493f90
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": 912.207872, | |
"max_global_vram": 1057.488896, | |
"max_process_vram": 0.0, | |
"max_reserved": 406.847488, | |
"max_allocated": 364.432384 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 167, | |
"total": 0.9973683834075925, | |
"mean": 0.005972265768907741, | |
"stdev": 0.0002571085105072753, | |
"p50": 0.005971968173980713, | |
"p90": 0.006288793563842774, | |
"p95": 0.006328012657165527, | |
"p99": 0.00648763388633728, | |
"values": [ | |
0.0066713600158691405, | |
0.006253568172454834, | |
0.006377471923828125, | |
0.006474751949310303, | |
0.006307839870452881, | |
0.006347775936126709, | |
0.006301695823669433, | |
0.006331391811370849, | |
0.006449151992797852, | |
0.006240255832672119, | |
0.0062740478515625, | |
0.006188032150268555, | |
0.0064133119583129885, | |
0.006250463962554932, | |
0.006311935901641846, | |
0.00616755199432373, | |
0.00613478422164917, | |
0.006154240131378174, | |
0.006150144100189209, | |
0.006207488059997559, | |
0.006246399879455566, | |
0.006251520156860352, | |
0.006232063770294189, | |
0.006137856006622314, | |
0.006346752166748047, | |
0.006298624038696289, | |
0.0063201279640197755, | |
0.006203392028808594, | |
0.006215775966644287, | |
0.006242303848266601, | |
0.0062791681289672855, | |
0.006247424125671387, | |
0.006266816139221192, | |
0.006250527858734131, | |
0.006236159801483154, | |
0.006284287929534912, | |
0.006292479991912842, | |
0.006228991985321045, | |
0.006231040000915527, | |
0.006180863857269287, | |
0.006252543926239014, | |
0.006138879776000977, | |
0.00620851182937622, | |
0.006169600009918213, | |
0.006260735988616943, | |
0.006240255832672119, | |
0.006189055919647217, | |
0.006296576023101807, | |
0.006294528007507324, | |
0.0062679038047790524, | |
0.0062863359451293946, | |
0.006203392028808594, | |
0.006194176197052002, | |
0.006200319766998291, | |
0.005997600078582764, | |
0.005723135948181152, | |
0.0060098237991333, | |
0.005868544101715088, | |
0.00585529613494873, | |
0.006270976066589356, | |
0.006190080165863037, | |
0.00602623987197876, | |
0.005982207775115967, | |
0.006176767826080322, | |
0.005876832008361817, | |
0.00582144021987915, | |
0.005849088191986084, | |
0.005888000011444092, | |
0.00581324815750122, | |
0.005731328010559082, | |
0.005819392204284668, | |
0.005778528213500976, | |
0.0058009600639343266, | |
0.006011903762817383, | |
0.006071296215057373, | |
0.006027232170104981, | |
0.006093823909759521, | |
0.006046720027923584, | |
0.006190080165863037, | |
0.006112256050109863, | |
0.0062187199592590335, | |
0.006105088233947754, | |
0.0062044157981872555, | |
0.006512639999389648, | |
0.006094848155975342, | |
0.006176767826080322, | |
0.006009856224060059, | |
0.006090752124786377, | |
0.006062079906463623, | |
0.005777408123016357, | |
0.005692416191101074, | |
0.0055511040687561035, | |
0.005488639831542969, | |
0.00559932804107666, | |
0.005745664119720459, | |
0.005566463947296142, | |
0.0055552000999450684, | |
0.005790719985961914, | |
0.005730303764343261, | |
0.005751808166503906, | |
0.005744639873504639, | |
0.00602623987197876, | |
0.005971968173980713, | |
0.006007808208465576, | |
0.006004735946655273, | |
0.006163551807403565, | |
0.006150144100189209, | |
0.006172704219818115, | |
0.005864480018615723, | |
0.005776256084442139, | |
0.0057803521156311035, | |
0.0058388481140136715, | |
0.0057784318923950195, | |
0.005827583789825439, | |
0.005760000228881836, | |
0.005767168045043946, | |
0.005716991901397705, | |
0.005796864032745362, | |
0.005754879951477051, | |
0.00566374397277832, | |
0.005765120029449463, | |
0.005731328010559082, | |
0.005740543842315674, | |
0.00572108793258667, | |
0.005760000228881836, | |
0.005705728054046631, | |
0.005713920116424561, | |
0.005730303764343261, | |
0.005710847854614258, | |
0.005739520072937012, | |
0.005732351779937744, | |
0.005710912227630615, | |
0.0056555519104003905, | |
0.005713024139404297, | |
0.0056442880630493165, | |
0.005661695957183838, | |
0.005734399795532226, | |
0.005681151866912842, | |
0.005727231979370117, | |
0.005733376026153565, | |
0.005817344188690185, | |
0.005746687889099121, | |
0.005725183963775635, | |
0.00566480016708374, | |
0.005700607776641845, | |
0.0057292799949646, | |
0.005669888019561768, | |
0.005732351779937744, | |
0.005755904197692871, | |
0.005734399795532226, | |
0.005750783920288086, | |
0.00566374397277832, | |
0.005708799839019775, | |
0.005691391944885254, | |
0.005757952213287353, | |
0.005697535991668701, | |
0.005743616104125977, | |
0.005697535991668701, | |
0.005725247859954834, | |
0.005730303764343261, | |
0.00570576000213623, | |
0.00587059211730957, | |
0.005690432071685791, | |
0.005726175785064697, | |
0.005649407863616943, | |
0.005725183963775635, | |
0.005718016147613526 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 167.44063956532338 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 6.619145750333477e-08, | |
"ram": 3.618679448110071e-08, | |
"gpu": 3.7692922767597377e-07, | |
"total": 4.793074796604093e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 2086343.4067594833 | |
} | |
} | |
} | |
} |