Hello all, I have a problem as follows:

Dataset 1 has 1000 images
Dataset 2 has 10 images.

I want to train a model , in which the images in the dataset 2 must be always use in the training. For example, I want to train with batch size of 64, then for each mini-batch, we should load all 10 images from dataset 2 and remaining from dataset 1. I am using customer dataset with distributed sampler. Do we have any solution for that?