IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
33ea36c verified
raw
history blame
11.8 kB
{
"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": 910.15168,
"max_global_vram": 1057.488896,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 364.432384
},
"latency": {
"unit": "s",
"count": 164,
"total": 0.9947111344337464,
"mean": 0.006065311795327722,
"stdev": 0.00027818872714891916,
"p50": 0.00610097599029541,
"p90": 0.006250188779830933,
"p95": 0.00657607684135437,
"p99": 0.007022898740768432,
"values": [
0.006252543926239014,
0.005903359889984131,
0.005958655834197998,
0.0059361281394958495,
0.00603545618057251,
0.006914048194885254,
0.0065177597999572755,
0.006306816101074219,
0.00624128007888794,
0.00621062421798706,
0.006146048069000244,
0.006146048069000244,
0.0062975997924804685,
0.006174719810485839,
0.0061511039733886715,
0.006106112003326416,
0.0060364799499511715,
0.006123519897460937,
0.006172607898712159,
0.0061645441055297855,
0.006250495910644531,
0.006144000053405762,
0.006301631927490234,
0.006193183898925782,
0.006176767826080322,
0.0061265921592712404,
0.006140927791595459,
0.0062156801223754886,
0.006182911872863769,
0.0062156801223754886,
0.006179840087890625,
0.006174719810485839,
0.006231040000915527,
0.006140927791595459,
0.006114304065704346,
0.006171648025512695,
0.00620851182937622,
0.006235136032104492,
0.006153215885162353,
0.006975488185882568,
0.007236608028411865,
0.006586368083953857,
0.006207488059997559,
0.006119423866271972,
0.006100992202758789,
0.006157311916351318,
0.00622489595413208,
0.006230016231536865,
0.0062494721412658695,
0.006225855827331543,
0.0062228479385375976,
0.00623308801651001,
0.0062044157981872555,
0.006182911872863769,
0.006104063987731933,
0.006161312103271485,
0.006244351863861084,
0.0062156801223754886,
0.006178815841674804,
0.006184991836547852,
0.006307839870452881,
0.0060999679565429685,
0.006160319805145264,
0.0061265921592712404,
0.006114304065704346,
0.006120448112487793,
0.00623308801651001,
0.006088704109191895,
0.006072319984436035,
0.006096896171569824,
0.0061082239151000976,
0.006106112003326416,
0.006155263900756836,
0.006100959777832031,
0.006072319984436035,
0.006089727878570556,
0.006120448112487793,
0.006213632106781006,
0.006206399917602539,
0.006201280117034912,
0.0062044157981872555,
0.006209536075592041,
0.006207488059997559,
0.006130688190460205,
0.006131711959838867,
0.006057983875274659,
0.006172671794891358,
0.006033408164978027,
0.006021120071411133,
0.005922815799713135,
0.005879807949066162,
0.005964799880981446,
0.0060364799499511715,
0.005868544101715088,
0.005824512004852295,
0.005761023998260498,
0.005793791770935058,
0.00582144021987915,
0.00602726411819458,
0.005992447853088379,
0.0062873601913452145,
0.006094848155975342,
0.0060845441818237304,
0.006130688190460205,
0.007006239891052246,
0.007051263809204102,
0.006781951904296875,
0.006815743923187256,
0.006841343879699707,
0.006201344013214111,
0.005777408123016357,
0.005889023780822754,
0.00597811222076416,
0.005848063945770264,
0.00586240005493164,
0.005760000228881836,
0.005835775852203369,
0.005794784069061279,
0.005833727836608887,
0.005772287845611572,
0.005798912048339844,
0.005948416233062744,
0.005767168045043946,
0.0057825279235839844,
0.005784575939178467,
0.005750783920288086,
0.005781504154205322,
0.005784575939178467,
0.005763072013854981,
0.005792736053466797,
0.00577023983001709,
0.005765120029449463,
0.005775360107421875,
0.005765120029449463,
0.005793791770935058,
0.005900288105010986,
0.005772287845611572,
0.005883903980255127,
0.005843967914581299,
0.005801983833312988,
0.005817344188690185,
0.005796864032745362,
0.005814271926879883,
0.005751808166503906,
0.005775360107421875,
0.005786623954772949,
0.00577023983001709,
0.005761023998260498,
0.005760000228881836,
0.005777408123016357,
0.005822463989257813,
0.0057712640762329105,
0.00577023983001709,
0.005784575939178467,
0.005783552169799804,
0.005738495826721191,
0.0057825279235839844,
0.005746687889099121,
0.005760000228881836,
0.005736447811126709,
0.0057794561386108395,
0.005764095783233642,
0.005796864032745362,
0.005734399795532226
]
},
"throughput": {
"unit": "samples/s",
"value": 164.87198576837017
},
"energy": {
"unit": "kWh",
"cpu": 6.736947336431707e-08,
"ram": 3.682352073610673e-08,
"gpu": 3.6782068567045624e-07,
"total": 4.7201367977088003e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2118582.665835892
}
}
}
}