From 321a55935963a5b65261941197b0213112db1af2 Mon Sep 17 00:00:00 2001 From: Peter Goldsborough Date: Mon, 7 Jan 2019 11:31:45 -0800 Subject: [PATCH] Fix restructured text issue in tensor_basics.rst (#15701) Summary: Fix submitted by huntzhan in https://github.com/pytorch/cppdocs/pull/4. The source is in this repo so the patch has to be applied here. soumith ezyang Pull Request resolved: https://github.com/pytorch/pytorch/pull/15701 Differential Revision: D13591302 Pulled By: goldsborough fbshipit-source-id: 796957696fd560a9c5fb42265d7b2d018abaebe3 --- docs/cpp/source/notes/tensor_basics.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/cpp/source/notes/tensor_basics.rst b/docs/cpp/source/notes/tensor_basics.rst index 73f6a06..5872852 100644 --- a/docs/cpp/source/notes/tensor_basics.rst +++ b/docs/cpp/source/notes/tensor_basics.rst @@ -77,7 +77,7 @@ otherwise behave as normal tensors. Scalars and zero-dimensional tensors ------------------------------------ -In addition to the ``Tensor`` objects, ATen also includes ``Scalar``s that +In addition to the ``Tensor`` objects, ATen also includes ``Scalar``\s that represent a single number. Like a Tensor, Scalars are dynamically typed and can hold any one of ATen's number types. Scalars can be implicitly constructed from C++ number types. Scalars are needed because some functions like ``addmm`` take @@ -100,7 +100,7 @@ will *always* return a Scalar value, like ``sum``. torch::Tensor c = ... torch::Tensor r = torch::addmm(1.0, a, .5, b, c); -In addition to ``Scalar``s, ATen also allows ``Tensor`` objects to be +In addition to ``Scalar``\s, ATen also allows ``Tensor`` objects to be zero-dimensional. These Tensors hold a single value and they can be references to a single element in a larger ``Tensor``. They can be used anywhere a ``Tensor`` is expected. They are normally created by operators like `select` -- 2.7.4