Table of Contents
Shortcuts

# torch.argsort

torch.argsort(input, dim=- 1, descending=False, stable=False) → Tensor

  Returns the indices that sort a tensor along a given dimension in ascending order by value.

  This is the second value returned by `torch.sort()`. See its documentation for the exact semantics of this method.

  If `stable` is `True` then the sorting routine becomes stable, preserving the order of equivalent elements. If `False`, the relative order of values which compare equal is not guaranteed. `True` is slower.

  Parameters:

    - input (Tensor) – the input tensor.

    - dim (int, optional) – the dimension to sort along

    - descending (bool, optional) – controls the sorting order (ascending or descending)

    - stable (bool, optional) – controls the relative order of equivalent elements

  Example:

      >>> a = torch.randn(4, 4)
      >>> a
      tensor([[ 0.0785,  1.5267, -0.8521,  0.4065],
              [ 0.1598,  0.0788, -0.0745, -1.2700],
              [ 1.2208,  1.0722, -0.7064,  1.2564],
              [ 0.0669, -0.2318, -0.8229, -0.9280]])

      >>> torch.argsort(a, dim=1)
      tensor([[2, 0, 3, 1],
              [3, 2, 1, 0],
              [2, 1, 0, 3],
              [3, 2, 1, 0]])

## 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.