How to upload a custom dataset to a contrasitive learning SIMCLR implementation

Looking at the link, I have given in my question, {simclr/main.py at main · larsh0103/simclr · GitHub} I have tried to upload my dataset by stacking 2 tensors in the “get_item” method as is done in the link(main.py) for cifar10 dataset. But when iterating through dataloader it gives me the error that i have described in “ValueError: not enough values to unpack (expected 2, got 1)”. Now able to understand how should i return my 2 stacked samples (with data augmentations done) from get_item method so that it is readable by training dataloader.