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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 of
input’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)>>>xtensor([[0, 1], [2, 3]])>>>torch.fliplr(x)tensor([[1, 0], [3, 2]])
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