From c7d2084e3337a403a2a93022cc8bf6b9df69933c Mon Sep 17 00:00:00 2001 From: albanD Date: Mon, 28 Nov 2022 17:55:43 +0000 Subject: [PATCH] Update masked.rst (#89758) Fix https://github.com/pytorch/pytorch/issues/89734 Pull Request resolved: https://github.com/pytorch/pytorch/pull/89758 Approved by: https://github.com/anjali411, https://github.com/malfet, https://github.com/cpuhrsch --- docs/source/masked.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/masked.rst b/docs/source/masked.rst index 3655a6d79fd9882..60b9af7ebcccbc8 100644 --- a/docs/source/masked.rst +++ b/docs/source/masked.rst @@ -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.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 +++++++++++++++++++