Hello. I found that the bottleneck of training procedure of my project to date is the data reading from disk. For a image with size 640480, I just need size of 320240 therefore I use the random_crop. However it will help if I can crop the sam image multi times and pack them up to a batch at the same time. As the get_item method should return tensor with shape CHW and them the dataloader pack up to NCHW, is there a way to pre pack up multi image in the get_item ? Thanks!