IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
c7bf350 verified
raw
history blame
12.3 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.2.2",
"_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": "3.10.14",
"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": "0.30.0",
"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": 905.039872,
"max_global_vram": 1057.488896,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 364.432384
},
"latency": {
"unit": "s",
"count": 178,
"total": 0.9980926094055176,
"mean": 0.0056072618505927955,
"stdev": 0.0001812279333278747,
"p50": 0.005572096109390259,
"p90": 0.005838745546340942,
"p95": 0.00587253749370575,
"p99": 0.0059661240005493155,
"values": [
0.0059361281394958495,
0.005559296131134033,
0.005676032066345215,
0.005607423782348633,
0.00566476821899414,
0.005653503894805908,
0.005637119770050049,
0.005940224170684814,
0.00588595199584961,
0.005859327793121338,
0.006073344230651856,
0.005832704067230224,
0.005814271926879883,
0.005840896129608154,
0.00586956787109375,
0.005857279777526855,
0.005757952213287353,
0.005700607776641845,
0.005691391944885254,
0.0057487359046936035,
0.00576204776763916,
0.005785600185394287,
0.005854207992553711,
0.005856256008148194,
0.005923840045928955,
0.005789696216583252,
0.005816319942474365,
0.005735424041748047,
0.00581324815750122,
0.005822463989257813,
0.005859327793121338,
0.005837823867797852,
0.0058716158866882326,
0.005815231800079345,
0.005538815975189209,
0.00551526403427124,
0.005494783878326416,
0.0055848960876464845,
0.00551526403427124,
0.005534719944000244,
0.005497856140136719,
0.00551423978805542,
0.005763072013854981,
0.0057077760696411135,
0.005697535991668701,
0.005765120029449463,
0.005696576118469238,
0.005752831935882568,
0.005726208209991455,
0.005855231761932373,
0.005787648200988769,
0.005834784030914307,
0.005824512004852295,
0.005776383876800537,
0.005826560020446778,
0.005775392055511475,
0.005805056095123291,
0.005731296062469482,
0.005781504154205322,
0.005910528182983398,
0.005822463989257813,
0.005765120029449463,
0.005753856182098388,
0.005697535991668701,
0.005662720203399658,
0.005736447811126709,
0.0057190399169921875,
0.00570470380783081,
0.005781439781188965,
0.005834752082824707,
0.005796864032745362,
0.005733376026153565,
0.005751808166503906,
0.005728256225585937,
0.005744639873504639,
0.005529600143432617,
0.005784575939178467,
0.005791744232177734,
0.005750783920288086,
0.005759935855865478,
0.00587775993347168,
0.0058091521263122555,
0.005831679821014404,
0.005819392204284668,
0.005545983791351319,
0.0055285758972167965,
0.005523519992828369,
0.005532671928405761,
0.005405695915222168,
0.005690368175506591,
0.005760992050170898,
0.005667840003967285,
0.005660607814788819,
0.005495808124542236,
0.005616640090942383,
0.005715968132019043,
0.006052832126617432,
0.005912576198577881,
0.005502975940704345,
0.00546611213684082,
0.005498816013336181,
0.005452799797058106,
0.005601280212402344,
0.005554207801818848,
0.00555622386932373,
0.005595136165618897,
0.005634047985076904,
0.005701663970947265,
0.005701632022857666,
0.005511168003082275,
0.005404672145843506,
0.005385216236114502,
0.005596159934997558,
0.005422080039978027,
0.005387263774871826,
0.005414912223815918,
0.005402560234069824,
0.0054436478614807125,
0.005408768177032471,
0.005410816192626953,
0.005422080039978027,
0.005419007778167725,
0.005421055793762207,
0.005437439918518067,
0.005414912223815918,
0.005402624130249023,
0.0054241280555725096,
0.005425151824951172,
0.005430272102355957,
0.005464064121246338,
0.005402656078338623,
0.005468128204345703,
0.005438464164733887,
0.005401599884033203,
0.005414912223815918,
0.0054271998405456545,
0.005391359806060791,
0.00542310380935669,
0.00541593599319458,
0.005404672145843506,
0.005393407821655274,
0.0054241280555725096,
0.005463039875030518,
0.005402624130249023,
0.005386240005493164,
0.005412864208221436,
0.005408768177032471,
0.00538316822052002,
0.005447679996490478,
0.005419007778167725,
0.005433343887329102,
0.005422080039978027,
0.005410816192626953,
0.005437439918518067,
0.005393407821655274,
0.005403647899627686,
0.005447679996490478,
0.005403647899627686,
0.0053975038528442385,
0.005451776027679443,
0.005390336036682129,
0.005399551868438721,
0.005451776027679443,
0.005426176071166992,
0.005433375835418701,
0.005401599884033203,
0.005411839962005615,
0.0054282240867614745,
0.005411839962005615,
0.005413887977600097,
0.005408768177032471,
0.005472256183624268,
0.005422080039978027,
0.005449728012084961,
0.005430272102355957,
0.005408703804016113,
0.005420032024383545,
0.005407743930816651
]
},
"throughput": {
"unit": "samples/s",
"value": 178.34016435210364
},
"energy": {
"unit": "kWh",
"cpu": 6.514185168513158e-08,
"ram": 3.5614991816396214e-08,
"gpu": 3.4007200587913006e-07,
"total": 4.408288493806579e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2268454.0755555113
}
}
}
}