torch.flipud — PyTorch 2.7 documentation (original) (raw)
Flip tensor in the up/down direction, returning a new tensor.
Flip the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.
Note
Requires the tensor to be at least 1-D.
Note
torch.flipud makes a copy of input’s data. This is different from NumPy’s np.flipud, which returns a view in constant time. Since copying a tensor’s data is more work than viewing that data,torch.flipud is expected to be slower than np.flipud.
Parameters
input (Tensor) – Must be at least 1-dimensional.
Example:
x = torch.arange(4).view(2, 2) x tensor([[0, 1], [2, 3]]) torch.flipud(x) tensor([[2, 3], [0, 1]])