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torch.flipud#
- torch.flipud(input)→Tensor#
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’snp.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 thannp.flipud.- Parameters
input (Tensor) – Must be at least 1-dimensional.
Example:
>>>x=torch.arange(4).view(2,2)>>>xtensor([[0, 1], [2, 3]])>>>torch.flipud(x)tensor([[2, 3], [0, 1]])
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