Table of Contents
Shortcuts

# torch.movedim

torch.movedim(input, source, destination) → Tensor

  Moves the dimension(s) of `input` at the position(s) in `source` to the position(s) in `destination`.

  Other dimensions of `input` that are not explicitly moved remain in their original order and appear at the positions not specified in `destination`.

  Parameters:

    - input (Tensor) – the input tensor.

    - source (int or tuple of ints) – Original positions of the dims to move. These must be unique.

    - destination (int or tuple of ints) – Destination positions for each of the original dims. These must also be unique.

  Examples:

      >>> t = torch.randn(3,2,1)
      >>> t
      tensor([[[-0.3362],
              [-0.8437]],

              [[-0.9627],
              [ 0.1727]],

              [[ 0.5173],
              [-0.1398]]])
      >>> torch.movedim(t, 1, 0).shape
      torch.Size([2, 3, 1])
      >>> torch.movedim(t, 1, 0)
      tensor([[[-0.3362],
              [-0.9627],
              [ 0.5173]],

              [[-0.8437],
              [ 0.1727],
              [-0.1398]]])
      >>> torch.movedim(t, (1, 2), (0, 1)).shape
      torch.Size([2, 1, 3])
      >>> torch.movedim(t, (1, 2), (0, 1))
      tensor([[[-0.3362, -0.9627,  0.5173]],

              [[-0.8437,  0.1727, -0.1398]]])

## 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.