Table of Contents
Shortcuts

# torch.vstack

torch.vstack(tensors, *, out=None) → Tensor

  Stack tensors in sequence vertically (row wise).

  This is equivalent to concatenation along the first axis after all 1-D tensors have been reshaped by `torch.atleast_2d()`.

  Parameters:

    tensors (sequence of Tensors) – sequence of tensors to concatenate

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

  Example:

      >>> a = torch.tensor([1, 2, 3])
      >>> b = torch.tensor([4, 5, 6])
      >>> torch.vstack((a,b))
      tensor([[1, 2, 3],
              [4, 5, 6]])
      >>> a = torch.tensor([[1],[2],[3]])
      >>> b = torch.tensor([[4],[5],[6]])
      >>> torch.vstack((a,b))
      tensor([[1],
              [2],
              [3],
              [4],
              [5],
              [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.