data-loadinglisted

## Efficient Data Loading Best Practice 1. Use num_workers = min(8, os.cpu_count()) for DataLoader 2. Enable pin_memory=True when using GPU 3. Use persistent_workers=True to avoid re-spawning 4. Pre-compute and cache transformations when possible 5. For image data: use torchvision.transforms.v2 (faster) 6. For large datasets: consider memory-mapped files or WebDataset 7. Profile with torch.utils.bottleneck to find I/O bottlenecks