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