Hi, I try to use dataparallel in jupyter notebook and I was following the instruction Optional: Data Parallelism — PyTorch Tutorials 1.8.1+cu102 documentation 2. It’s not clear to me how the multiple gpu version works. On top of the page it writes device = torch.device("cuda:0"), isn’t it sending all tensors to the first gpu? Then later it writes model.to(device), which also sends to the first gpu. Thanks for any clarification.