Seonglae Chotorch.Tensor.transpose() is not just sugar syntax, but rather torch tensor.permute() is the sugar syntax. While transpose explicitly specifies two dimensions to swap, Pytorch tensor.T completely reverses the shape Size array, essentially a version of permute with reversed size.
tensor.mT is specifically for 2D and only allows 2D tensors.import torch # .T reverses all dimensions x = torch.randn(2, 3, 4) print(x.shape) # torch.Size([2, 3, 4]) print(x.T.shape) # torch.Size([4, 3, 2]) # .mT is for 2D only y = torch.randn(3, 5) print(y.mT.shape) # torch.Size([5, 3]) # transpose swaps two specific dimensions print(x.transpose(0, 2).shape) # torch.Size([4, 3, 2]) # permute reorders dimensions in any order print(x.permute(2, 0, 1).shape) # torch.Size([4, 2, 3]) print(x.permute(2, 1, 0).shape) # torch.Size([4, 3, 2]) - same as .T