Table of Contents
Shortcuts

# 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’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]])

## Docs

Access comprehensive developer documentation for PyTorch

View Docs

## Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

## Resources

Find development resources and get your questions answered

View Resources

To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the current maintainers of this site, Facebook’s Cookies Policy applies. Learn more, including about available controls: Cookies Policy.