Hi, I’m loading my data using a DataLoader with num_workers>1. As far as I know, Pytorch uses multiprocessing, which copies the data to different processes. Is there a way to prevent the tensors in my dataset from being copied? Would Tensor().share_memory_() work?
Thanks