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Deep Learning with PyTorch
Module 13 of 13
13. PyTorch Cheatsheet
Tensors
pythonx = torch.zeros(3, 3) x = x.to("cuda") x.requires_grad = True
Training Loop
pythonopt.zero_grad() loss.backward() opt.step()
IO
pythontorch.save(model.state_dict(), "w.pt") model.load_state_dict(torch.load("w.pt"))