# Installing MXNet on OS X (Mac)¶

MXNet currently supports Python, R, Julia, and Scala. For users of Python on Mac, MXNet provides a set of Git Bash scripts that installs all of the required MXNet dependencies and the MXNet library.

## Prepare Environment for GPU Installation¶

This section is optional. Skip to next section if you don’t plan to use GPUs. If you plan to build with GPU, you need to set up environment for CUDA and cuDNN.

Once you have the CUDA Toolkit installed you will need to setup the required environment variables by adding the following to your ~/.bash_profile file:

    export CUDA_HOME=/usr/local/cuda
export DYLD_LIBRARY_PATH="$CUDA_HOME/lib:$DYLD_LIBRARY_PATH"
export PATH="$CUDA_HOME/bin:$PATH"


Reload ~/.bash_profile file and install dependecies:

    . ~/.bash_profile
brew install coreutils


Unzip the file and change to cudnn root directory. Move the header files and libraries to your local CUDA Toolkit folder:

    $sudo mv include/cudnn.h /Developer/NVIDIA/CUDA-8.0/include/$ sudo mv lib/libcudnn* /Developer/NVIDIA/CUDA-8.0/lib
$sudo ln -s /Developer/NVIDIA/CUDA-8.0/lib/libcudnn* /usr/local/cuda/lib/  Now we can start to build MXNet. ## Quick Installation¶ ### Install MXNet for Python¶ Clone the MXNet source code repository to your computer and run the installation script. In addition to installing MXNet, the script installs all MXNet dependencies: Numpy, LibBLAS and OpenCV. It takes around 5 to 10 minutes to complete the installation.  # Clone mxnet repository. In terminal, run the commands WITHOUT "sudo" git clone https://github.com/dmlc/mxnet.git ~/mxnet --recursive # If building with GPU, add configurations to config.mk file: cd ~/mxnet cp make/config.mk . echo "USE_CUDA=1" >>config.mk echo "USE_CUDA_PATH=/usr/local/cuda" >>config.mk echo "USE_CUDNN=1" >>config.mk # Install MXNet for Python with all required dependencies cd ~/mxnet/setup-utils bash install-mxnet-osx-python.sh  You can view the installation script we just used to install MXNet for Python here. ## Standard installation¶ Installing MXNet is a two-step process: 1. Build the shared library from the MXNet C++ source code. 2. Install the supported language-specific packages for MXNet. Note: To change the compilation options for your build, edit the make/config.mk file and submit a build request with the make command. ### Build the Shared Library¶ #### Install MXNet dependencies¶ Install the dependencies, required for MXNet, with the following commands: • Homebrew • OpenBLAS and homebrew/science (for linear algebraic operations) • OpenCV (for computer vision operations)  # Paste this command in Mac terminal to install Homebrew /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

# Insert the Homebrew directory at the top of your PATH environment variable
export PATH=/usr/local/bin:/usr/local/sbin:$PATH   brew update brew install pkg-config brew install graphviz brew install openblas brew tap homebrew/science brew install opencv # For getting pip brew install python # For visualization of network graphs pip install graphviz # Jupyter notebook pip install jupyter  #### Build MXNet Shared Library¶ After you have installed the dependencies, pull the MXNet source code from Git and build MXNet to produce a MXNet library called libmxnet.so. The file called osx.mk has the configuration required for building MXNet on OS X. First copy make/osx.mk into config.mk, which is used by the make command:  git clone --recursive https://github.com/dmlc/mxnet ~/mxnet cd ~/mxnet cp make/osx.mk ./config.mk echo "USE_BLAS = openblas" >> ./config.mk echo "ADD_CFLAGS += -I/usr/local/opt/openblas/include" >> ./config.mk echo "ADD_LDFLAGS += -L/usr/local/opt/openblas/lib" >> ./config.mk echo "ADD_LDFLAGS += -L/usr/local/lib/graphviz/" >> ./config.mk make -j$(sysctl -n hw.ncpu)


If building with GPU support, add the following configuration to config.mk and build:

    echo "USE_CUDA = 1" >> ./config.mk
echo "USE_CUDA_PATH = /usr/local/cuda" >> ./config.mk
echo "USE_CUDNN = 1" >> ./config.mk
make


Note: To change build parameters, edit config.mk.

We have installed MXNet core library. Next, we will install MXNet interface package for the programming language of your choice:

### Install the MXNet Package for R¶

You have 2 options:

1. Building MXNet with the Prebuilt Binary Package
2. Building MXNet from Source Code

#### Building MXNet with the Prebuilt Binary Package¶

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:

    install.packages("drat", repos="https://cran.rstudio.com")
install.packages("mxnet")


#### Building MXNet from Source Code¶

Run the following commands to install the MXNet dependencies and build the MXNet R package.

    Rscript -e "install.packages('devtools', repo = 'https://cran.rstudio.com')"

    cd R-package
Rscript -e "library(devtools); library(methods); options(repos=c(CRAN='https://cran.rstudio.com')); install_deps(dependencies = TRUE)"
cd ..
make rpkg


Note: R-package is a folder in the MXNet source.

These commands create the MXNet R package as a tar.gz file that you can install as an R package. To install the R package, run the following command, use your MXNet version number:

    R CMD INSTALL mxnet_current_r.tar.gz


### Install the MXNet Package for Julia¶

The MXNet package for Julia is hosted in a separate repository, MXNet.jl, which is available on GitHub. To use Julia binding it with an existing libmxnet installation, set the MXNET_HOME environment variable by running the following command:

    export MXNET_HOME=/<path to>/libmxnet


The path to the existing libmxnet installation should be the root directory of libmxnet. In other words, you should be able to find the libmxnet.so file at \$MXNET_HOME/lib. For example, if the root directory of libmxnet is ~, you would run the following command:

    export MXNET_HOME=/~/libmxnet


You might want to add this command to your ~/.bashrc file. If you do, you can install the Julia package in the Julia console using the following command:

    Pkg.add("MXNet")


For more details about installing and using MXNet with Julia, see the MXNet Julia documentation.

### Install the MXNet Package for Scala¶

Before you build MXNet for Scala from source code, you must complete building the shared library. After you build the shared library, run the following command from the MXNet source root directory to build the MXNet Scala package:

    make scalapkg


This command creates the JAR files for the assembly, core, and example modules. It also creates the native library in the native/{your-architecture}/target directory, which you can use to cooperate with the core module.

To install the MXNet Scala package into your local Maven repository, run the following command from the MXNet source root directory:

    make scalainstall