Table of Contents
Shortcuts

# torch.block_diag

torch.block_diag(*tensors)

  Create a block diagonal matrix from provided tensors.

  Parameters:

    *tensors – One or more tensors with 0, 1, or 2 dimensions.

  Returns:

    A 2 dimensional tensor with all the input tensors arranged in order such that their upper left and lower right corners are diagonally adjacent. All other elements are set to 0.

  Return type:

    Tensor

  Example:

      >>> import torch
      >>> A = torch.tensor([[0, 1], [1, 0]])
      >>> B = torch.tensor([[3, 4, 5], [6, 7, 8]])
      >>> C = torch.tensor(7)
      >>> D = torch.tensor([1, 2, 3])
      >>> E = torch.tensor([[4], [5], [6]])
      >>> torch.block_diag(A, B, C, D, E)
      tensor([[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
              [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 3, 4, 5, 0, 0, 0, 0, 0],
              [0, 0, 6, 7, 8, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 7, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 1, 2, 3, 0],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 4],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 5],
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 6]])

## 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.