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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/10/16 23:01:29 UTC

[GitHub] sandeep-krishnamurthy closed pull request #12832: R install instructions update for macOS

sandeep-krishnamurthy closed pull request #12832: R install instructions update for macOS
URL: https://github.com/apache/incubator-mxnet/pull/12832
 
 
   

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diff --git a/docs/install/index.md b/docs/install/index.md
index 109a44034e8..fc136978ac5 100644
--- a/docs/install/index.md
+++ b/docs/install/index.md
@@ -142,7 +142,7 @@ $ pip install mxnet --pre
 </div> <!-- End of master-->
 <hr> <!-- pip footer -->
 MXNet offers MKL pip packages that will be much faster when running on Intel hardware.
-Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>. 
+Check the chart below for other options, refer to <a href="https://pypi.org/project/mxnet/">PyPI for other MXNet pip packages</a>, or <a href="validate_mxnet.html">validate your MXNet installation</a>.
 
 <img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.3.0.png" alt="pip packages"/>
 
@@ -597,6 +597,18 @@ MXNet developers should refer to the MXNet wiki's <a href="https://cwiki.apache.
 <div class="r">
 <div class="cpu">
 </br>
+Install OpenCV and OpenBLAS.
+
+```bash
+brew install opencv
+brew install openblas@0.3.1
+```
+
+Add a soft link to the OpenBLAS installation. This example links the 0.3.1 version:
+
+```bash
+ln -sf /usr/local/opt/openblas/lib/libopenblasp-r0.3.* /usr/local/opt/openblas/lib/libopenblasp-r0.3.1.dylib
+```
 
 Install the latest version (3.5.1+) of R from [CRAN](https://cran.r-project.org/bin/macosx/).
 You can [build MXNet-R from source](osx_setup.html#install-the-mxnet-package-for-r), or you can use a pre-built binary:
diff --git a/docs/install/osx_setup.md b/docs/install/osx_setup.md
index 53039252888..8f864b2aa2b 100644
--- a/docs/install/osx_setup.md
+++ b/docs/install/osx_setup.md
@@ -124,6 +124,18 @@ You have 2 options:
 2. Building MXNet from Source Code
 
 ### Building MXNet with the Prebuilt Binary Package
+Install OpenCV and OpenBLAS.
+
+```bash
+brew install opencv
+brew install openblas@0.3.1
+```
+
+Add a soft link to the OpenBLAS installation. This example links the 0.3.1 version:
+
+```bash
+ln -sf /usr/local/opt/openblas/lib/libopenblasp-r0.3.* /usr/local/opt/openblas/lib/libopenblasp-r0.3.1.dylib
+```
 
 Install the latest version (3.5.1+) of R from [CRAN](https://cran.r-project.org/bin/macosx/).
 For OS X (Mac) users, MXNet provides a prebuilt binary package for CPUs. The prebuilt package is updated weekly. You can install the package directly in the R console using the following commands:


 

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