import torch

# Tensor of interest
tens_A = torch.rand((2,3,4)) # 3-dimensional tensor of shape (2,3,4)

def test_view(tensor, sizes):
  try:
    tensor.view(*sizes)
  except Exception as e:
    print(e)
    print(f"View was Failed: tensor.is_contiguos == {tensor.is_contiguous()}")
  else:
    print(f"View was Successful: tensor.is_contiguos == {tensor.is_contiguous()}")

sizes = (3,4,2)

# Let's try to use view
test_view(tens_A, sizes)

# Apply view-function that change contiguity and try again
perm_tens_A = tens_A.permute(0,2,1) # change order of axis
test_view(perm_tens_A, sizes) # this will result in RuntimeError("Use .reshape(...) instead")