Datasets:

optimum-benchmark
/

cuda

Dataset card Data Studio Files Files and versions Community

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

40b3017 verified 8 months ago

raw

history blame

12.9 kB

	{
	"config": {
	"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
	"backend": {
	"name": "pytorch",
	"version": "2.3.1+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",
	"numactl": false,
	"numactl_kwargs": {},
	"start_method": "spawn"
	},
	"environment": {
	"cpu": " AMD EPYC 7R32",
	"cpu_count": 16,
	"cpu_ram_mb": 66697.293824,
	"system": "Linux",
	"machine": "x86_64",
	"platform": "Linux-5.10.219-208.866.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": "0.2.1",
	"optimum_benchmark_commit": null,
	"transformers_version": "4.42.3",
	"transformers_commit": null,
	"accelerate_version": "0.31.0",
	"accelerate_commit": null,
	"diffusers_version": "0.29.2",
	"diffusers_commit": null,
	"optimum_version": null,
	"optimum_commit": null,
	"timm_version": "1.0.7",
	"timm_commit": null,
	"peft_version": null,
	"peft_commit": null
	}
	},
	"report": {
	"forward": {
	"memory": {
	"unit": "MB",
	"max_ram": 876.765184,
	"max_global_vram": 1057.488896,
	"max_process_vram": 0.0,
	"max_reserved": 406.847488,
	"max_allocated": 363.85792
	},
	"latency": {
	"unit": "s",
	"count": 190,
	"total": 0.9988269410133366,
	"mean": 0.00525698390007019,
	"stdev": 0.000327288634615419,
	"p50": 0.00516761589050293,
	"p90": 0.005472972726821899,
	"p95": 0.005586124873161315,
	"p99": 0.007265341396331787,
	"values": [
	0.007789567947387695,
	0.007307263851165771,
	0.007260159969329834,
	0.006461440086364746,
	0.005675007820129394,
	0.005606400012969971,
	0.005553152084350586,
	0.005658624172210694,
	0.0055582718849182125,
	0.0056852478981018065,
	0.005441535949707031,
	0.005471231937408447,
	0.0057118721008300784,
	0.005470208168029785,
	0.005396480083465576,
	0.005350399971008301,
	0.005392320156097412,
	0.005459968090057373,
	0.005534719944000244,
	0.005540863990783691,
	0.005561344146728516,
	0.005262335777282715,
	0.005241856098175048,
	0.005216191768646241,
	0.005246975898742676,
	0.005282815933227539,
	0.005315584182739258,
	0.005536767959594726,
	0.005294047832489014,
	0.005338111877441406,
	0.005242879867553711,
	0.005298175811767578,
	0.005256192207336426,
	0.005250048160552978,
	0.005276671886444092,
	0.005175295829772949,
	0.005132287979125977,
	0.005107711791992187,
	0.005171199798583984,
	0.005206016063690186,
	0.00511897611618042,
	0.005264383792877197,
	0.005237760066986084,
	0.005305344104766845,
	0.005327871799468994,
	0.005325888156890869,
	0.005331967830657959,
	0.005339168071746826,
	0.005668863773345947,
	0.005504000186920166,
	0.005488639831542969,
	0.005293119907379151,
	0.005314559936523438,
	0.005235712051391602,
	0.0052705278396606445,
	0.005238783836364746,
	0.005195775985717774,
	0.005149695873260498,
	0.005183487892150879,
	0.005235712051391602,
	0.005280767917633057,
	0.005242879867553711,
	0.005187583923339844,
	0.005208064079284668,
	0.005191679954528809,
	0.005241856098175048,
	0.005216256141662597,
	0.005190656185150146,
	0.005234687805175781,
	0.005241856098175048,
	0.005327839851379395,
	0.00535859203338623,
	0.005299200057983398,
	0.005312511920928955,
	0.005291039943695068,
	0.005234687805175781,
	0.005259263992309571,
	0.005213183879852295,
	0.005220352172851562,
	0.005277664184570313,
	0.005142528057098389,
	0.005131264209747314,
	0.005126143932342529,
	0.005028863906860351,
	0.0049530878067016604,
	0.005164031982421875,
	0.005130239963531494,
	0.005116928100585938,
	0.004983808040618896,
	0.004981760025024414,
	0.004981760025024414,
	0.004933631896972656,
	0.00497049617767334,
	0.004966400146484375,
	0.005231616020202637,
	0.005222400188446045,
	0.005280767917633057,
	0.0053012480735778805,
	0.005422080039978027,
	0.0055552000999450684,
	0.005191743850708008,
	0.005172224044799805,
	0.005189631938934326,
	0.005172224044799805,
	0.005246975898742676,
	0.005210048198699952,
	0.005202943801879883,
	0.005272575855255127,
	0.005173312187194824,
	0.005139455795288086,
	0.005122047901153564,
	0.0051404800415039064,
	0.005150720119476319,
	0.005124095916748047,
	0.005114880084991455,
	0.005145599842071533,
	0.005127168178558349,
	0.005098495960235596,
	0.005108736038208008,
	0.005144576072692871,
	0.005098495960235596,
	0.005106624126434326,
	0.005161983966827393,
	0.00520908784866333,
	0.005124095916748047,
	0.005155839920043945,
	0.005124095916748047,
	0.005116928100585938,
	0.0051138558387756345,
	0.005130239963531494,
	0.005137407779693603,
	0.00511078405380249,
	0.0051435518264770505,
	0.005130239963531494,
	0.005132287979125977,
	0.005119999885559082,
	0.005151679992675781,
	0.005144576072692871,
	0.005144576072692871,
	0.005161983966827393,
	0.005142528057098389,
	0.0051476478576660155,
	0.005120031833648682,
	0.005157887935638428,
	0.005125120162963868,
	0.005112832069396973,
	0.005139455795288086,
	0.005134335994720459,
	0.005122079849243164,
	0.005233727931976319,
	0.005142528057098389,
	0.005127168178558349,
	0.005114880084991455,
	0.005153791904449463,
	0.005123040199279785,
	0.005122047901153564,
	0.005144576072692871,
	0.005116928100585938,
	0.005126143932342529,
	0.0050954241752624516,
	0.0051476478576660155,
	0.005129216194152832,
	0.005123072147369385,
	0.005107711791992187,
	0.005098495960235596,
	0.00511897611618042,
	0.005104640007019043,
	0.0051435518264770505,
	0.0051138558387756345,
	0.005187583923339844,
	0.005129216194152832,
	0.005115903854370117,
	0.005114880084991455,
	0.005092351913452148,
	0.005119999885559082,
	0.005156864166259765,
	0.005096447944641113,
	0.005116928100585938,
	0.005122047901153564,
	0.005121024131774903,
	0.005108736038208008,
	0.005139455795288086,
	0.00516096019744873,
	0.005117951869964599,
	0.005188543796539307,
	0.005100543975830078,
	0.005098495960235596,
	0.005119999885559082,
	0.005129216194152832,
	0.005111807823181152
	]
	},
	"throughput": {
	"unit": "samples/s",
	"value": 190.22314296732927
	},
	"energy": {
	"unit": "kWh",
	"cpu": 6.038394425055879e-08,
	"ram": 3.30148482527768e-08,
	"gpu": 3.5293962475510414e-07,
	"total": 4.463384172584397e-07
	},
	"efficiency": {
	"unit": "samples/kWh",
	"value": 2240452.4489340074
	}
	}
	}
	}