{ "config": { "name": "cuda_training_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": "training", "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario", "max_steps": 5, "warmup_steps": 2, "dataset_shapes": { "dataset_size": 500, "sequence_length": 16, "num_choices": 1 }, "training_arguments": { "per_device_train_batch_size": 2, "gradient_accumulation_steps": 1, "output_dir": "./trainer_output", "do_train": true, "use_cpu": false, "max_steps": 5, "do_eval": false, "do_predict": false, "report_to": "none", "skip_memory_metrics": true, "ddp_find_unused_parameters": false }, "latency": true, "memory": true, "energy": false }, "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": { "overall": { "memory": { "unit": "MB", "max_ram": 1454.24384, "max_global_vram": 2628.255744, "max_process_vram": 0.0, "max_reserved": 1956.642816, "max_allocated": 1756.126208 }, "latency": { "unit": "s", "count": 5, "total": 0.48769330596923827, "mean": 0.09753866119384766, "stdev": 0.11244165542391671, "p50": 0.04127129745483398, "p90": 0.2100996047973633, "p95": 0.26626067886352534, "p99": 0.31118953811645506, "values": [ 0.3224217529296875, 0.041616382598876955, 0.04118220901489258, 0.041201663970947267, 0.04127129745483398 ] }, "throughput": { "unit": "samples/s", "value": 102.52344944663604 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 1454.24384, "max_global_vram": 2628.255744, "max_process_vram": 0.0, "max_reserved": 1956.642816, "max_allocated": 1756.126208 }, "latency": { "unit": "s", "count": 2, "total": 0.36403813552856445, "mean": 0.18201906776428223, "stdev": 0.14040268516540527, "p50": 0.18201906776428223, "p90": 0.29434121589660645, "p95": 0.30838148441314694, "p99": 0.3196136992263794, "values": [ 0.3224217529296875, 0.041616382598876955 ] }, "throughput": { "unit": "samples/s", "value": 21.975719627242942 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 1454.24384, "max_global_vram": 2628.255744, "max_process_vram": 0.0, "max_reserved": 1956.642816, "max_allocated": 1756.126208 }, "latency": { "unit": "s", "count": 3, "total": 0.12365517044067384, "mean": 0.04121839014689128, "stdev": 3.824492344595754e-05, "p50": 0.041201663970947267, "p90": 0.04125737075805664, "p95": 0.04126433410644531, "p99": 0.04126990478515625, "values": [ 0.04118220901489258, 0.041201663970947267, 0.04127129745483398 ] }, "throughput": { "unit": "samples/s", "value": 145.56609267411005 }, "energy": null, "efficiency": null } } }