share memory space so input should contiguous -1 means auto inferWhat does -1 mean in pytorch view?As the question says, what does -1 do in pytorch view? >>> a = torch.arange(1, 17) >>> a tensor([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 1...https://stackoverflow.com/questions/50792316/what-does-1-mean-in-pytorch-view/50793899#50793899torch.Tensor.view — PyTorch 2.0 documentationhttps://pytorch.org/docs/stable/generated/torch.Tensor.view.html
