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
23c0041
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", | |
"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": 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": "1.0.3", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 909.524992, | |
"max_global_vram": 1057.488896, | |
"max_process_vram": 0.0, | |
"max_reserved": 406.847488, | |
"max_allocated": 364.432384 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 175, | |
"total": 0.9981758394241333, | |
"mean": 0.005703861939566476, | |
"stdev": 0.00040605473444796256, | |
"p50": 0.0056053118705749515, | |
"p90": 0.0057862144470214845, | |
"p95": 0.005949440002441406, | |
"p99": 0.008010526971817014, | |
"values": [ | |
0.008466431617736817, | |
0.008088576316833495, | |
0.007983104228973388, | |
0.007860223770141601, | |
0.007319551944732666, | |
0.00597811222076416, | |
0.006415359973907471, | |
0.006067168235778808, | |
0.005694464206695556, | |
0.0057077760696411135, | |
0.005898240089416504, | |
0.005790719985961914, | |
0.0058388481140136715, | |
0.005645311832427978, | |
0.005659647941589355, | |
0.00560748815536499, | |
0.005628928184509278, | |
0.005607423782348633, | |
0.005703680038452149, | |
0.00561356782913208, | |
0.00563097620010376, | |
0.005596159934997558, | |
0.005620736122131348, | |
0.005640192031860352, | |
0.0055838398933410645, | |
0.005594111919403076, | |
0.005576704025268555, | |
0.005582816123962402, | |
0.00561356782913208, | |
0.005557248115539551, | |
0.005646336078643799, | |
0.005566463947296142, | |
0.005586944103240967, | |
0.005616640090942383, | |
0.005568543910980225, | |
0.005597184181213379, | |
0.0057190399169921875, | |
0.005581823825836182, | |
0.005618688106536865, | |
0.00555014419555664, | |
0.0056053118705749515, | |
0.005617663860321045, | |
0.005581791877746582, | |
0.005620736122131348, | |
0.0055623679161071774, | |
0.005596159934997558, | |
0.005601280212402344, | |
0.005595136165618897, | |
0.005661695957183838, | |
0.005600255966186523, | |
0.0057794561386108395, | |
0.005749695777893067, | |
0.005709824085235596, | |
0.0057292799949646, | |
0.00567193603515625, | |
0.005608448028564453, | |
0.005599232196807862, | |
0.005639167785644531, | |
0.005566463947296142, | |
0.005620736122131348, | |
0.005670911788940429, | |
0.005653503894805908, | |
0.0056852478981018065, | |
0.005588992118835449, | |
0.005623807907104492, | |
0.005615615844726562, | |
0.00555622386932373, | |
0.005598207950592041, | |
0.00555622386932373, | |
0.005552127838134766, | |
0.005623807907104492, | |
0.00555622386932373, | |
0.005629951953887939, | |
0.005634047985076904, | |
0.005542912006378174, | |
0.005601280212402344, | |
0.0055552000999450684, | |
0.005601280212402344, | |
0.0056217598915100095, | |
0.005573631763458252, | |
0.005611519813537597, | |
0.005573631763458252, | |
0.005610496044158936, | |
0.005587967872619629, | |
0.005597184181213379, | |
0.005567488193511963, | |
0.005594111919403076, | |
0.0055797758102417, | |
0.005547008037567139, | |
0.005553152084350586, | |
0.005574656009674072, | |
0.005937151908874512, | |
0.005843967914581299, | |
0.005881855964660645, | |
0.005832767963409423, | |
0.005700607776641845, | |
0.005853184223175049, | |
0.006237184047698975, | |
0.005798912048339844, | |
0.0057118721008300784, | |
0.005753856182098388, | |
0.005604351997375488, | |
0.005590015888214111, | |
0.005566463947296142, | |
0.005547008037567139, | |
0.005582848072052002, | |
0.0055316481590271, | |
0.005609471797943116, | |
0.005553152084350586, | |
0.005631999969482422, | |
0.005618688106536865, | |
0.00555622386932373, | |
0.005616640090942383, | |
0.005612544059753418, | |
0.005571584224700928, | |
0.005623807907104492, | |
0.005561344146728516, | |
0.005649407863616943, | |
0.005772287845611572, | |
0.005695487976074219, | |
0.005763072013854981, | |
0.005769216060638428, | |
0.0057712640762329105, | |
0.005661695957183838, | |
0.0057784318923950195, | |
0.005742591857910156, | |
0.005718016147613526, | |
0.005767168045043946, | |
0.005669888019561768, | |
0.005665791988372803, | |
0.005609471797943116, | |
0.005665791988372803, | |
0.005597184181213379, | |
0.005561344146728516, | |
0.005594111919403076, | |
0.005533696174621582, | |
0.005635072231292724, | |
0.005557248115539551, | |
0.005542912006378174, | |
0.005587967872619629, | |
0.005529600143432617, | |
0.005583871841430664, | |
0.005559296131134033, | |
0.005529568195343017, | |
0.005618688106536865, | |
0.005554111957550048, | |
0.005588992118835449, | |
0.005556287765502929, | |
0.005559296131134033, | |
0.005581823825836182, | |
0.005563392162322998, | |
0.005568511962890625, | |
0.005612544059753418, | |
0.0056145920753479005, | |
0.005653503894805908, | |
0.0055848960876464845, | |
0.005609439849853516, | |
0.005576704025268555, | |
0.005594175815582275, | |
0.005550079822540284, | |
0.005577727794647217, | |
0.005576704025268555, | |
0.005558335781097412, | |
0.005595136165618897, | |
0.005542912006378174, | |
0.005548031806945801, | |
0.005587967872619629, | |
0.005570559978485107, | |
0.005581823825836182, | |
0.0055511040687561035, | |
0.005566527843475342, | |
0.005585919857025146, | |
0.005559296131134033, | |
0.005586944103240967, | |
0.005581823825836182 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 175.31981148828532 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 6.734374158009135e-08, | |
"ram": 3.6820689558680895e-08, | |
"gpu": 3.376123281704507e-07, | |
"total": 4.417767593092229e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 2263586.707375992 | |
} | |
} | |
} | |
} |