From dd4db8e77b65ba542dbaf9e3cf656aabf0c5dc54 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 | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/docs/source/masked.rst b/docs/source/masked.rst index d6ae9f7d56728e9..857ba49b0a832a8 100644 --- a/docs/source/masked.rst +++ b/docs/source/masked.rst @@ -56,10 +56,17 @@ 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`_ +<<<<<<< HEAD .. _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 +>>>>>>> 098cbe23c3a (Update masked.rst (#89758)) Supported Operators +++++++++++++++++++