JulianSlzr commented on a change in pull request #9353: added mac gpu install; 
refactored windows install
URL: https://github.com/apache/incubator-mxnet/pull/9353#discussion_r160795292
 
 

 ##########
 File path: docs/install/index.md
 ##########
 @@ -689,11 +689,50 @@ $ bash install-mxnet-osx-python.sh
   <div class="python">
     <div class="gpu">
 
-More details and verified installation instructions for macOS, with GPUs, 
coming soon.
+<div class="pip virtualenv docker">
+</br>
+
+Try the **Build from Source** option for now.
+
+</div>
+
+<div class="build-from-source">
+
+The following instructions are for CUDA 9.1 and cuDNN 7 for MacOS X 10.12+ and 
a CUDA-capable GPU. They summarize confirmed successful builds in 
[#9217](https://github.com/apache/incubator-mxnet/issues/9217).
+Alternatively, you may follow the [CUDA installation instructions for Mac OS 
X](https://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html).
+
+1. [Download Xcode 8.3.3 from 
Apple](https://download.developer.apple.com/Developer_Tools/Xcode_8.3.3/Xcode8.3.3.xip).
 This is the version [NVIDIA specifies in its instructions for Mac OS 
X](https://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html). 
Unzip and rename to `Xcode8.3.3.app`.
+
+2. Run `sudo xcode-select -s /Applications/Xcode8.3.3.app` or to wherever you 
have placed Xcode.
+
+3. Run `xcode-select --install` to install all command line tools, compilers, 
etc.
+
+4. Install CUDA for MacOS X. Specific steps are provided in NVIDIA's [CUDA 
installation 
instructions](https://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html#installation).
+
 
 Review comment:
   One must install cuDNN 7 for CUDA 9.1 separately. Link to 
http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installmac and 
note that one will need to create a (free) NVIDIA account.

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