From 9de2beb86bf5944d200a4bc7a276526972322173 Mon Sep 17 00:00:00 2001
From: Sing <89730517+Hosyz@users.noreply.github.com>
Date: Tue, 26 Apr 2022 21:55:58 +0000
Subject: [PATCH] Update README.md

Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/76369
Approved by: https://github.com/zou3519
---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 9105b1d35f3..9ebf91445ce 100644
--- a/README.md
+++ b/README.md
@@ -168,16 +168,16 @@ If you want to compile with CUDA support, install
 - [Compiler](https://gist.github.com/ax3l/9489132) compatible with CUDA
 Note: You could refer to the [cuDNN Support Matrix](https://docs.nvidia.com/deeplearning/cudnn/pdf/cuDNN-Support-Matrix.pdf) for cuDNN versions with the various supported CUDA, CUDA driver and NVIDIA hardwares
 
-If you want to disable CUDA support, export environment variable `USE_CUDA=0`.
+If you want to disable CUDA support, export the environment variable `USE_CUDA=0`.
 Other potentially useful environment variables may be found in `setup.py`.
 
 If you are building for NVIDIA's Jetson platforms (Jetson Nano, TX1, TX2, AGX Xavier), Instructions to install PyTorch for Jetson Nano are [available here](https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/)
 
 If you want to compile with ROCm support, install
 - [AMD ROCm](https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html) 4.0 and above installation
-- ROCm is currently supported only for Linux system.
+- ROCm is currently supported only for Linux systems.
 
-If you want to disable ROCm support, export environment variable `USE_ROCM=0`.
+If you want to disable ROCm support, export the environment variable `USE_ROCM=0`.
 Other potentially useful environment variables may be found in `setup.py`.
 
 #### Install Dependencies
@@ -289,7 +289,7 @@ You can refer to the [build_pytorch.bat](https://github.com/pytorch/pytorch/blob
 cmd
 
 :: Set the environment variables after you have downloaded and upzipped the mkl package,
-:: else CMake would throw error as `Could NOT find OpenMP`.
+:: else CMake would throw an error as `Could NOT find OpenMP`.
 set CMAKE_INCLUDE_PATH={Your directory}\mkl\include
 set LIB={Your directory}\mkl\lib;%LIB%