transpose(), adjoint(), mT, mH, view(), reshape() in PyTorch

*My post explains permute() and movedim().

transpose(), adjoint(), mT or mH can transpose a 0D or more D tensor without losing data as shown below:

import torch

my_tensor = torch.tensor([[[0, 1, 2], [3, 4, 5]],
                          [[6, 7, 8], [9, 10, 11]],
                          [[12, 13, 14], [15, 16, 17]],
                          [[18, 19, 20], [21, 22, 23]]])
                         # The size is [4, 2, 3].
torch.transpose(my_tensor, 0, 0)
my_tensor.transpose(0, 0)                                        
torch.transpose(my_tensor, 1, 1)
my_tensor.transpose(1, 1)
torch.transpose(my_tensor, 2, 2)
my_tensor.transpose(2, 2)
torch.transpose(my_tensor, …

data import pytorch reshape tensor torch view