IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
f0568a7 verified
raw
history blame
13.9 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.1+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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.224-212.876.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": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 840.597504,
"max_global_vram": 1037.565952,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.9836025390625,
"mean": 7.9836025390625,
"stdev": 0.0,
"p50": 7.9836025390625,
"p90": 7.9836025390625,
"p95": 7.9836025390625,
"p99": 7.9836025390625,
"values": [
7.9836025390625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.5495858888879216e-06,
"ram": 7.892894140813673e-07,
"gpu": 3.7241696459995935e-06,
"total": 6.063044948968882e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1050.497024,
"max_global_vram": 1056.44032,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"count": 188,
"total": 0.9974178886413577,
"mean": 0.005305414301283816,
"stdev": 0.00019255853694238295,
"p50": 0.005235215902328491,
"p90": 0.005576998376846313,
"p95": 0.005622579336166382,
"p99": 0.005712005190849304,
"values": [
0.005604351997375488,
0.005593088150024414,
0.00571289587020874,
0.005540768146514893,
0.0056145920753479005,
0.005568511962890625,
0.005626880168914795,
0.005581823825836182,
0.005539968013763428,
0.005763936042785645,
0.005502975940704345,
0.005416927814483642,
0.00515993595123291,
0.005123072147369385,
0.005171199798583984,
0.0053350400924682614,
0.005179391860961914,
0.005169151782989502,
0.005208064079284668,
0.005098495960235596,
0.005055488109588623,
0.005045248031616211,
0.0050022401809692385,
0.0050800638198852536,
0.005121024131774903,
0.005153791904449463,
0.005249023914337158,
0.005206016063690186,
0.005302271842956543,
0.0052295680046081545,
0.005265408039093018,
0.005233695983886719,
0.005089280128479004,
0.005092351913452148,
0.005108736038208008,
0.005386240005493164,
0.005195775985717774,
0.0052470722198486325,
0.005255231857299805,
0.005204127788543701,
0.005192704200744629,
0.005242879867553711,
0.0051968002319335935,
0.005158912181854248,
0.005187615871429443,
0.005158912181854248,
0.005203968048095703,
0.00521727991104126,
0.0051968002319335935,
0.00521727991104126,
0.005161983966827393,
0.00511078405380249,
0.0050421757698059086,
0.0050206718444824215,
0.005037055969238281,
0.0051066880226135255,
0.005130239963531494,
0.005705728054046631,
0.005444608211517334,
0.005501952171325684,
0.005443583965301513,
0.005446656227111817,
0.005427328109741211,
0.005593088150024414,
0.005525536060333252,
0.005590015888214111,
0.00568012809753418,
0.005542912006378174,
0.0055797758102417,
0.005533696174621582,
0.005469183921813964,
0.005404831886291504,
0.005411680221557617,
0.005640192031860352,
0.005453824043273926,
0.005549056053161621,
0.005488639831542969,
0.00548038387298584,
0.005533696174621582,
0.005495808124542236,
0.005425151824951172,
0.005702816009521485,
0.005385216236114502,
0.005543935775756836,
0.005437439918518067,
0.005477375984191894,
0.005587967872619629,
0.005511168003082275,
0.005340159893035889,
0.005463039875030518,
0.005403647899627686,
0.005699584007263184,
0.005469183921813964,
0.00548038387298584,
0.005458943843841553,
0.005471231937408447,
0.00542406415939331,
0.0055214080810546875,
0.005491807937622071,
0.0057118721008300784,
0.005602303981781006,
0.0056442880630493165,
0.005480447769165039,
0.005575808048248291,
0.005502848148345947,
0.005476352214813233,
0.0054568958282470706,
0.005511231899261474,
0.005476352214813233,
0.005425151824951172,
0.005281919956207275,
0.005451776027679443,
0.005533696174621582,
0.005394336223602295,
0.005274623870849609,
0.005415808200836181,
0.005220352172851562,
0.0051476478576660155,
0.005354496002197265,
0.005407743930816651,
0.005255167961120606,
0.005136256217956543,
0.005146624088287354,
0.005108736038208008,
0.005277696132659912,
0.005184639930725097,
0.0053647360801696775,
0.005375999927520752,
0.005362688064575195,
0.005350592136383056,
0.005517312049865723,
0.005455808162689209,
0.005529600143432617,
0.005545983791351319,
0.005244927883148193,
0.005124095916748047,
0.0052367358207702636,
0.005087232112884522,
0.005137407779693603,
0.005174272060394287,
0.0050503678321838375,
0.0050165758132934574,
0.0051404800415039064,
0.005105663776397705,
0.00502784013748169,
0.005094399929046631,
0.005222400188446045,
0.005173247814178467,
0.005094399929046631,
0.00511084794998169,
0.005108736038208008,
0.005150720119476319,
0.0050636157989501955,
0.005165056228637695,
0.005128191947937012,
0.005095456123352051,
0.005157887935638428,
0.005163008213043213,
0.005185535907745361,
0.005104640007019043,
0.00521830415725708,
0.0051190400123596195,
0.005144576072692871,
0.00516096019744873,
0.0051660799980163576,
0.0050954241752624516,
0.005134335994720459,
0.005184512138366699,
0.00516096019744873,
0.005138336181640625,
0.005165056228637695,
0.005137407779693603,
0.005093567848205567,
0.005137407779693603,
0.0051773438453674315,
0.005180416107177735,
0.005134335994720459,
0.005158912181854248,
0.0050728960037231445,
0.005169151782989502,
0.005093376159667969,
0.005149695873260498,
0.005097631931304932,
0.005066751956939697,
0.005213183879852295,
0.005112864017486572,
0.005137407779693603,
0.00542310380935669
]
},
"throughput": {
"unit": "samples/s",
"value": 188.48669363258168
},
"energy": {
"unit": "kWh",
"cpu": 5.9557553863067376e-08,
"ram": 3.2548034173714876e-08,
"gpu": 3.4883891670351685e-07,
"total": 4.4094450474029913e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2267859.0826048846
}
}
}
}