stu1130 commented on a change in pull request #12696: Refine mxnet python 
installation
URL: https://github.com/apache/incubator-mxnet/pull/12696#discussion_r221443668
 
 

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 File path: docs/install/windows_setup.md
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 @@ -141,10 +141,10 @@ To build and install MXNet yourself using 
[VS2017](https://www.visualstudio.com/
 1. Set the environment variable `OpenCV_DIR` to point to the OpenCV build 
directory that you just unzipped. Start ```cmd``` and type `set 
OpenCV_DIR=C:\utils\opencv\build`.
 1. If you don’t have the Intel Math Kernel Library (MKL) installed, you can 
install it and follow the 
[MKLDNN_README](https://github.com/apache/incubator-mxnet/blob/master/MKLDNN_README.md)
 from here, or you can use OpenBLAS. These instructions will assume you're 
using OpenBLAS.
 1. Download the 
[OpenBlas](https://sourceforge.net/projects/openblas/files/v0.2.19/OpenBLAS-v0.2.19-Win64-int32.zip/download)
 package. Later versions of OpenBLAS are available, but you would need to build 
from source. v0.2.19 is the most recent version that ships with binaries. 
Contributions of more recent binaries would be appreciated.
-1. Unzip the file. You can place the unzipped files and folders in another 
directory if you wish.
+1. Unzip the file, rename it to ```OpenBLAS``` and put it under `C:\utils`. 
You can place the unzipped files and folders in another directory if you wish.
 1. Set the environment variable `OpenBLAS_HOME` to point to the OpenBLAS 
directory that contains the `include` and `lib` directories and type `set 
OpenBLAS_HOME=C:\utils\OpenBLAS` on the command prompt(```cmd```).
 
 Review comment:
   Yeah, it could be anywhere but original tutorial use C"\utils so I follow 
it. It makes users less confused?

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