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torch.fliplr
torch.fliplr(input) → Tensor
-
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 ofinput
’s data. This is different from NumPy’snp.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 thannp.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]])
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https://pytorch.org/docs/2.1/generated/torch.fliplr.html