{ "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": "3f7b9d2c002cca7024cac52f3c7535f2a03b7b03", "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": 898.834432, "max_global_vram": 689.360896, "max_process_vram": 50795.241472, "max_reserved": 400.556032, "max_allocated": 346.271744 }, "latency": { "unit": "s", "count": 1, "total": 10.01171875, "mean": 10.01171875, "stdev": 0.0, "p50": 10.01171875, "p90": 10.01171875, "p95": 10.01171875, "p99": 10.01171875, "values": [ 10.01171875 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1068.883968, "max_global_vram": 777.66656, "max_process_vram": 191283.69152, "max_reserved": 406.847488, "max_allocated": 355.303424 }, "latency": { "unit": "s", "count": 148, "total": 0.9942487244606021, "mean": 0.006717896786895957, "stdev": 0.0001901688783591533, "p50": 0.006702933311462402, "p90": 0.0068653329372406, "p95": 0.0068928609848022465, "p99": 0.006940984282493592, "values": [ 0.00686413288116455, 0.0067671737670898435, 0.006813094139099121, 0.006893252849578858, 0.00680301284790039, 0.006905572891235352, 0.006928772926330567, 0.006892133235931397, 0.006834372997283935, 0.006828453063964844, 0.006802213191986084, 0.006883012771606445, 0.006843973159790039, 0.00683085298538208, 0.006819172859191895, 0.006831812858581543, 0.006857253074645996, 0.0068255729675292965, 0.006802052974700928, 0.006804933071136474, 0.006605894088745117, 0.006905891895294189, 0.006844132900238037, 0.006875973224639892, 0.006831013202667237, 0.00688109302520752, 0.006893892765045166, 0.006951813220977783, 0.006798373222351074, 0.006870052814483643, 0.006859333038330078, 0.00688109302520752, 0.00679597282409668, 0.006899652957916259, 0.006441413879394531, 0.0067524538040161135, 0.006746852874755859, 0.006680294036865235, 0.006733734130859375, 0.006668134212493897, 0.0065855741500854496, 0.006581093788146973, 0.006597414016723633, 0.006625894069671631, 0.0066266942024230955, 0.006614213943481446, 0.006647173881530762, 0.006589734077453614, 0.006630534172058105, 0.006685733795166016, 0.006676773071289063, 0.006706374168395996, 0.006658693790435791, 0.006658214092254639, 0.0066858940124511716, 0.006659012794494629, 0.006678373813629151, 0.006649573802947998, 0.006644454002380371, 0.006627654075622559, 0.006615334033966065, 0.006647334098815918, 0.006662854194641113, 0.00664893388748169, 0.006713092803955078, 0.0067257342338562015, 0.006613093852996826, 0.006671333789825439, 0.006683653831481934, 0.006681892871856689, 0.006685413837432861, 0.006669252872467041, 0.006702054023742676, 0.006688132762908936, 0.006723974227905273, 0.006659014225006104, 0.00835148811340332, 0.006749413967132569, 0.0068108530044555665, 0.006758693218231201, 0.006713573932647705, 0.00675805377960205, 0.006767013072967529, 0.00671293306350708, 0.006756773948669434, 0.006766213893890381, 0.006769093036651611, 0.006703333854675293, 0.006710854053497315, 0.00674573278427124, 0.0067404541969299315, 0.006715653896331787, 0.006728133201599121, 0.006698214054107666, 0.006767492771148681, 0.0067681331634521485, 0.006683653831481934, 0.006812452793121338, 0.006742533206939697, 0.006791012763977051, 0.006696293830871582, 0.00675501298904419, 0.006868133068084717, 0.0067025327682495115, 0.006628133773803711, 0.006748613834381104, 0.006649733066558838, 0.006709574222564697, 0.006692933082580566, 0.00671005392074585, 0.006682693004608154, 0.0066858940124511716, 0.0066946930885314945, 0.006675174236297607, 0.006696932792663575, 0.0067257342338562015, 0.00667805290222168, 0.0066858940124511716, 0.006716932773590088, 0.006691813945770264, 0.00673965311050415, 0.006709894180297851, 0.006763333797454834, 0.006688612937927246, 0.00669853401184082, 0.0066934127807617184, 0.0067097339630126955, 0.006672132968902588, 0.006763493061065674, 0.006687973976135254, 0.006638373851776123, 0.0066617331504821775, 0.006650373935699463, 0.006684453964233399, 0.006686054229736328, 0.006668293952941894, 0.006644612789154053, 0.00665165376663208, 0.006687493801116944, 0.006667334079742432, 0.006420454978942871, 0.0061812539100646975, 0.006470855236053467, 0.006355975151062012, 0.006248295783996582, 0.005885097026824951, 0.006430534839630127, 0.006504454135894775 ] }, "throughput": { "unit": "samples/s", "value": 148.8561125188194 }, "energy": null, "efficiency": null } } }