Hi
I recently started with Pytorch. I was trying to build a model for multi-class image classification using pre-trained models from torchvision. My models seem to work fine. I used categorical entropy loss /NLLLoss.
I was wondering if internally in the Pytorch framework, the labels are being converted to one-hot encodings?