{ "config": { "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", "backend": { "name": "pytorch", "version": "2.2.2+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": "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": 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": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 1082015.236096, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "9337b863a5d9e4991ca83847e6c2f66a543b52d9", "transformers_version": "4.42.4", "transformers_commit": null, "accelerate_version": "0.32.1", "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": { "load": { "memory": { "unit": "MB", "max_ram": 898.58048, "max_global_vram": 689.369088, "max_process_vram": 48024.526848, "max_reserved": 400.556032, "max_allocated": 346.271744 }, "latency": { "unit": "s", "count": 1, "total": 7.4821455078125, "mean": 7.4821455078125, "stdev": 0.0, "p50": 7.4821455078125, "p90": 7.4821455078125, "p95": 7.4821455078125, "p99": 7.4821455078125, "values": [ 7.4821455078125 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1068.904448, "max_global_vram": 777.076736, "max_process_vram": 165655.896064, "max_reserved": 406.847488, "max_allocated": 355.303424 }, "latency": { "unit": "s", "count": 154, "total": 0.9948502702713011, "mean": 0.006460066690073384, "stdev": 0.00024480604715280344, "p50": 0.00635286283493042, "p90": 0.0067551019191741946, "p95": 0.0068609576702117914, "p99": 0.00742425479888916, "values": [ 0.006815021991729737, 0.006704942226409912, 0.006816461086273194, 0.006871981143951416, 0.006962380886077881, 0.00689182186126709, 0.006826220989227295, 0.006877261161804199, 0.006855021953582763, 0.006683821201324463, 0.006668141841888428, 0.006608141899108887, 0.006562702178955078, 0.006547983169555664, 0.0065294218063354495, 0.006531501770019531, 0.0065099020004272465, 0.006478063106536865, 0.006438541889190674, 0.006523502826690674, 0.006561583042144776, 0.006618381977081299, 0.00647918176651001, 0.0064910221099853515, 0.006481583118438721, 0.006493102073669434, 0.006462862968444824, 0.006492463111877442, 0.006584142208099365, 0.006666701793670654, 0.007924617767333985, 0.006474223136901856, 0.006288622856140137, 0.006231184005737305, 0.006285103797912597, 0.006280142784118653, 0.00633214282989502, 0.006354863166809082, 0.00633262300491333, 0.006270543098449707, 0.0062619028091430665, 0.006277583122253418, 0.006258382797241211, 0.006250382900238037, 0.006310702800750733, 0.006269903182983399, 0.00627806282043457, 0.006299983024597168, 0.006303822994232178, 0.006323503017425537, 0.006364462852478027, 0.006329263210296631, 0.00633646297454834, 0.006344462871551514, 0.006333743095397949, 0.006368622779846191, 0.006357742786407471, 0.006338062763214111, 0.006371983051300049, 0.006362543106079101, 0.006338542938232422, 0.006493581771850586, 0.0063115029335021975, 0.006364782810211181, 0.006333261966705322, 0.006334543228149414, 0.0062900629043579105, 0.006371023178100586, 0.006366862773895264, 0.006344142913818359, 0.006353262901306152, 0.0063524627685546875, 0.006378061771392822, 0.006326542854309082, 0.006320143222808838, 0.006349742889404297, 0.007795339107513428, 0.006395182132720947, 0.006360143184661865, 0.006345423221588134, 0.006369262218475342, 0.0062796630859375, 0.006305583000183105, 0.006269103050231934, 0.006295982837677002, 0.0062833428382873535, 0.006291343212127686, 0.006300942897796631, 0.006300783157348633, 0.006293743133544922, 0.006294063091278076, 0.006271822929382324, 0.006331663131713867, 0.006293423175811767, 0.006308143138885498, 0.006309742927551269, 0.0063067030906677245, 0.006328782081604004, 0.006267823219299316, 0.006269103050231934, 0.006305422782897949, 0.006270382881164551, 0.006274383068084716, 0.0062919831275939945, 0.006288622856140137, 0.00637134313583374, 0.006338383197784424, 0.006353902816772461, 0.006322862148284912, 0.006324782848358155, 0.006320942878723144, 0.006408782958984375, 0.007095180034637451, 0.006650862216949463, 0.006465423107147217, 0.006614061832427978, 0.006598542213439942, 0.006610861778259277, 0.006698381900787353, 0.007031980991363525, 0.006621263027191162, 0.006778381824493408, 0.006685582160949707, 0.006635662078857422, 0.0065406222343444825, 0.0067467021942138675, 0.006623022079467774, 0.00659374189376831, 0.006758701801300049, 0.00668494176864624, 0.006614381790161133, 0.006787821769714355, 0.006759342193603516, 0.006557581901550293, 0.0067307019233703615, 0.006476943016052246, 0.0063140630722045895, 0.006403662204742431, 0.006364462852478027, 0.006337742805480957, 0.006340942859649658, 0.006323342800140381, 0.006323983192443847, 0.006302863121032715, 0.006331502914428711, 0.006327823162078857, 0.006334222793579101, 0.0063439831733703616, 0.006308783054351807, 0.00629390287399292, 0.00632350206375122, 0.006328621864318848, 0.006325902938842773, 0.006343342781066894 ] }, "throughput": { "unit": "samples/s", "value": 154.79716355507784 }, "energy": null, "efficiency": null } } }