Skip to content

Commit

Permalink
Update masked.rst (#89758) (#89923)
Browse files Browse the repository at this point in the history
Fix #89734

Pull Request resolved: #89758
Approved by: https://github.com/anjali411, https://github.com/malfet, https://github.com/cpuhrsch

Co-authored-by: albanD <albandes@fb.com>
  • Loading branch information
atalman and albanD committed Nov 30, 2022
1 parent 74a9ca9 commit ae2fe40
Showing 1 changed file with 4 additions and 4 deletions.
8 changes: 4 additions & 4 deletions docs/source/masked.rst
Expand Up @@ -56,10 +56,10 @@ There are already a number of existing tutorials that we've written to help user
- `Advanced semantics - discussion on why certain decisions were made (e.g. requiring masks to match for binary/reduction operations),
differences with NumPy's MaskedArray, and reduction semantics`_

.. _Overview - the place to start for new users, discusses how to use MaskedTensors and why they're useful: https://pytorch.org/tutorials/prototype/maskedtensor_overview.html/
.. _Sparsity - MaskedTensor supports sparse COO and CSR data and mask Tensors: https://pytorch.org/tutorials/prototype/maskedtensor_sparsity.html/
.. _Adagrad sparse semantics - a practical example of how MaskedTensor can simplify sparse semantics and implementations: https://pytorch.org/tutorials/prototype/maskedtensor_adagrad_semantics.html>
.. _Advanced semantics - discussion on why certain decisions were made (e.g. requiring masks to match for binary/reduction operations), differences with NumPy's MaskedArray, and reduction semantics: https://pytorch.org/tutorials/prototype/maskedtensor_advanced_semantics.html/
.. _Overview - the place to start for new users, discusses how to use MaskedTensors and why they're useful: https://pytorch.org/tutorials/prototype/maskedtensor_overview
.. _Sparsity - MaskedTensor supports sparse COO and CSR data and mask Tensors: https://pytorch.org/tutorials/prototype/maskedtensor_sparsity
.. _Adagrad sparse semantics - a practical example of how MaskedTensor can simplify sparse semantics and implementations: https://pytorch.org/tutorials/prototype/maskedtensor_adagrad
.. _Advanced semantics - discussion on why certain decisions were made (e.g. requiring masks to match for binary/reduction operations), differences with NumPy's MaskedArray, and reduction semantics: https://pytorch.org/tutorials/prototype/maskedtensor_advanced_semantics

Supported Operators
+++++++++++++++++++
Expand Down

0 comments on commit ae2fe40

Please sign in to comment.