{ "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-5.10.225-213.878.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": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.45.1", "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": "0.13.0", "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 842.645504, "max_global_vram": 1037.565952, "max_process_vram": 0.0, "max_reserved": 400.556032, "max_allocated": 346.271744 }, "latency": { "unit": "s", "count": 1, "total": 8.43717578125, "mean": 8.43717578125, "stdev": 0.0, "p50": 8.43717578125, "p90": 8.43717578125, "p95": 8.43717578125, "p99": 8.43717578125, "values": [ 8.43717578125 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 3.1588823888890424e-06, "ram": 1.7021993382134717e-06, "gpu": 3.577225084000317e-06, "total": 8.438306811102831e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1051.172864, "max_global_vram": 1056.44032, "max_process_vram": 0.0, "max_reserved": 406.847488, "max_allocated": 363.853824 }, "latency": { "unit": "s", "count": 185, "total": 0.9969730553627018, "mean": 0.005389043542501089, "stdev": 0.00016911658390549546, "p50": 0.005346303939819336, "p90": 0.005585305690765381, "p95": 0.005622323036193848, "p99": 0.005895403327941895, "values": [ 0.005612607955932617, 0.0057415680885314945, 0.005594111919403076, 0.0055552000999450684, 0.005659647941589355, 0.005288896083831787, 0.005278719902038574, 0.005299200057983398, 0.0052581758499145505, 0.005243904113769531, 0.005310463905334473, 0.005249023914337158, 0.005235712051391602, 0.005276671886444092, 0.005237760066986084, 0.005295104026794434, 0.005345280170440674, 0.005281792163848877, 0.0052008957862854, 0.005137407779693603, 0.005074944019317627, 0.005077951908111572, 0.005438464164733887, 0.005617663860321045, 0.005516287803649903, 0.005561344146728516, 0.0055214080810546875, 0.005586944103240967, 0.0055244798660278325, 0.005542912006378174, 0.005552127838134766, 0.0054271998405456545, 0.0054609918594360355, 0.005540863990783691, 0.005517312049865723, 0.005622719764709473, 0.005553152084350586, 0.005559232234954834, 0.005338111877441406, 0.005385216236114502, 0.0053463678359985355, 0.005239808082580567, 0.005227519989013672, 0.005338111877441406, 0.005281792163848877, 0.005260287761688232, 0.005338111877441406, 0.005297215938568115, 0.0051968002319335935, 0.005112832069396973, 0.005117951869964599, 0.005091328144073487, 0.005124095916748047, 0.005272575855255127, 0.005197792053222656, 0.005173247814178467, 0.005208064079284668, 0.005194752216339111, 0.005288991928100586, 0.005596159934997558, 0.00551423978805542, 0.005550079822540284, 0.005629951953887939, 0.005532671928405761, 0.005627903938293457, 0.005582848072052002, 0.005523519992828369, 0.005595136165618897, 0.005464064121246338, 0.0055101442337036136, 0.005500864028930664, 0.005525504112243652, 0.005565440177917481, 0.005500864028930664, 0.00553984022140503, 0.0056442880630493165, 0.005543935775756836, 0.005599232196807862, 0.005450751781463623, 0.005372928142547607, 0.005431263923645019, 0.005439551830291748, 0.005481472015380859, 0.005511168003082275, 0.005547008037567139, 0.005568511962890625, 0.0053975038528442385, 0.005538815975189209, 0.005461984157562256, 0.005453824043273926, 0.00551423978805542, 0.005463039875030518, 0.005441535949707031, 0.0055582718849182125, 0.005479423999786377, 0.00530841588973999, 0.00531660795211792, 0.005303296089172363, 0.005381120204925537, 0.0053678078651428224, 0.005246975898742676, 0.00532480001449585, 0.005283840179443359, 0.0052633600234985355, 0.005296127796173096, 0.005223423957824707, 0.005223423957824707, 0.005232639789581299, 0.005511104106903076, 0.005481472015380859, 0.00572108793258667, 0.005620672225952149, 0.0054906878471374515, 0.005471231937408447, 0.005449728012084961, 0.005407743930816651, 0.005310463905334473, 0.005421055793762207, 0.00557263994216919, 0.005378047943115235, 0.005250048160552978, 0.005379072189331055, 0.0052705278396606445, 0.005235712051391602, 0.005356544017791748, 0.005322751998901368, 0.005350399971008301, 0.005380095958709717, 0.005351424217224121, 0.005928895950317383, 0.005578752040863037, 0.005620736122131348, 0.005468160152435303, 0.005406688213348389, 0.005389311790466309, 0.005346303939819336, 0.005305344104766845, 0.005429279804229736, 0.005430208206176758, 0.0053637118339538575, 0.005436416149139404, 0.0053309440612792965, 0.005220352172851562, 0.005889023780822754, 0.005561344146728516, 0.005260287761688232, 0.005292031764984131, 0.0052715840339660645, 0.0052633600234985355, 0.005331967830657959, 0.00530841588973999, 0.005260287761688232, 0.005307392120361328, 0.005286880016326904, 0.005232639789581299, 0.005273600101470947, 0.005533696174621582, 0.006348800182342529, 0.005283840179443359, 0.005248000144958496, 0.005305344104766845, 0.005261312007904053, 0.005259263992309571, 0.005269504070281982, 0.0052367358207702636, 0.005265408039093018, 0.0052971520423889164, 0.005329919815063477, 0.005258240222930908, 0.005276671886444092, 0.005241792201995849, 0.005264351844787598, 0.005569536209106446, 0.005254144191741943, 0.005235712051391602, 0.00526643180847168, 0.0052336640357971195, 0.0052295680046081545, 0.005256192207336426, 0.0052408318519592285, 0.0052408318519592285, 0.005258240222930908, 0.005239808082580567, 0.005230591773986816, 0.005252096176147461 ] }, "throughput": { "unit": "samples/s", "value": 185.56168494713882 }, "energy": { "unit": "kWh", "cpu": 5.951064973827604e-08, "ram": 3.252010771903772e-08, "gpu": 3.3492628692462447e-07, "total": 4.2695704438193825e-07 }, "efficiency": { "unit": "samples/kWh", "value": 2342155.992408082 } } } }