IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
9cca241 verified
raw
history blame
12.6 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.2.0.dev20231010+rocm5.7",
"_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": "5",
"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": false,
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"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": 946.384896,
"max_global_vram": 68702.69952,
"max_process_vram": 45235.003392,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.01548828125,
"mean": 8.01548828125,
"stdev": 0.0,
"p50": 8.01548828125,
"p90": 8.01548828125,
"p95": 8.01548828125,
"p99": 8.01548828125,
"values": [
8.01548828125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1118.203904,
"max_global_vram": 68702.69952,
"max_process_vram": 178683.252736,
"max_reserved": 406.847488,
"max_allocated": 355.303424
},
"latency": {
"unit": "s",
"count": 158,
"total": 0.9979245889186855,
"mean": 0.006315978410877758,
"stdev": 0.0011563377210859983,
"p50": 0.006169103145599365,
"p90": 0.006692236995697021,
"p95": 0.006734436821937561,
"p99": 0.0102152690601349,
"values": [
0.00679870080947876,
0.006749260902404785,
0.0063863821029663086,
0.0061623830795288085,
0.011157089233398438,
0.0065270218849182125,
0.006285421848297119,
0.0065527820587158205,
0.006218061923980713,
0.006215182781219483,
0.006216463088989258,
0.006167663097381592,
0.006130383014678955,
0.00611918306350708,
0.006088782787322998,
0.00611262321472168,
0.0060271830558776855,
0.006030862808227539,
0.006013742923736572,
0.006035823822021485,
0.006064623832702637,
0.006025103092193604,
0.006094223022460938,
0.006095023155212403,
0.006063663005828858,
0.006044302940368652,
0.006006543159484863,
0.006011982917785644,
0.006026863098144531,
0.006054543972015381,
0.0060300641059875485,
0.006069262981414795,
0.006073583126068116,
0.006115182876586914,
0.006066702842712403,
0.009504773139953614,
0.006170702934265137,
0.006371982097625732,
0.006508942127227783,
0.00631646203994751,
0.0061979031562805174,
0.006345742225646973,
0.006657260894775391,
0.006644621849060058,
0.006638381004333496,
0.006671502113342285,
0.006749900817871093,
0.006657580852508545,
0.006738380908966064,
0.006723822116851807,
0.0066617422103881834,
0.0067087807655334475,
0.00673374080657959,
0.006659982204437256,
0.0065031819343566895,
0.006192781925201416,
0.006300622940063476,
0.006236941814422608,
0.00618254280090332,
0.006350222110748291,
0.0059759840965271,
0.006013904094696045,
0.006148462772369385,
0.005994543075561524,
0.006596621036529541,
0.006704782009124756,
0.006393422126770019,
0.006237582206726074,
0.006074863910675049,
0.006073103904724121,
0.0060415840148925785,
0.006111342906951905,
0.005967184066772461,
0.018187307357788087,
0.0039873490333557126,
0.003996309041976929,
0.003981909036636352,
0.003987828969955445,
0.005147346019744873,
0.005983182907104492,
0.005930062770843506,
0.005973904132843017,
0.005912783145904541,
0.006351821899414063,
0.006255823135375977,
0.006217903137207032,
0.006701420783996582,
0.006655500888824463,
0.00672142219543457,
0.006109743118286133,
0.006103503227233887,
0.005940624237060547,
0.0059721431732177735,
0.005934544086456299,
0.005958064079284668,
0.005939823150634765,
0.005945903778076172,
0.005937102794647217,
0.005957903861999511,
0.005916944026947021,
0.005934543132781982,
0.0059279842376708984,
0.00591998291015625,
0.005892623901367187,
0.006170543193817138,
0.006248302936553955,
0.006267342090606689,
0.006278862953186035,
0.0058798232078552245,
0.0058646240234375,
0.006252462863922119,
0.00618846321105957,
0.006301423072814941,
0.006094862937927246,
0.005852303028106689,
0.005911824226379395,
0.005863022804260254,
0.005855343818664551,
0.005849743843078613,
0.005898542881011963,
0.005897103786468506,
0.005909102916717529,
0.006136622905731201,
0.005931824207305908,
0.005923183917999267,
0.005946543216705322,
0.005934063911437988,
0.005939503192901611,
0.006413742065429688,
0.006722702026367188,
0.006646542072296142,
0.006636781215667725,
0.006650221824645996,
0.00647918176651001,
0.006661740779876709,
0.006720941066741943,
0.006673101902008057,
0.006364942073822022,
0.00623054313659668,
0.006685741901397705,
0.006688301086425781,
0.006674382209777832,
0.006642221927642822,
0.006634541034698486,
0.006671502113342285,
0.006639501094818115,
0.006751340866088867,
0.006671341896057129,
0.006655500888824463,
0.006623501777648926,
0.0066641421318054195,
0.006663980960845947,
0.006489582061767578,
0.006287982940673828,
0.006125263214111328,
0.005916782855987549,
0.0059420628547668455,
0.00591918420791626
]
},
"throughput": {
"unit": "samples/s",
"value": 158.32859692454613
},
"energy": null,
"efficiency": null
}
}
}