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

diff --git a/docs/cpp/source/notes/tensor_basics.rst b/docs/cpp/source/notes/tensor_basics.rst
index 73f6a06..5872852 100644 (file)
--- 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`