Hi, I’m doing image super-resolution models. When training models, models use fixed image sizes such as 24x24 - 96x96, 32x32 - 128x128 (for LR-HR size) and when testing to evaluate their performance, models load the full image size or any size. How can models process at full size? Thank you so much.