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| <h1 class="post-title">OSX Setup</h1> |
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| <h1 id="installing-mxnet-from-source-on-os-x-mac">Installing MXNet from source on OS X (Mac)</h1> |
| |
| <p><strong>NOTE:</strong> For pre-built MXNet with Python, please refer to the <a href="/versions/1.6.0/get_started">new install guide</a>.</p> |
| |
| <p>Installing MXNet is a two-step process:</p> |
| |
| <ol> |
| <li>Build the shared library from the MXNet C++ source code.</li> |
| <li>Install the supported language-specific packages for MXNet.</li> |
| </ol> |
| |
| <p><strong>Note:</strong> To change the compilation options for your build, edit the <code>make/config.mk</code> file and submit a build request with the <code>make</code> command.</p> |
| |
| <h2 id="prepare-environment-for-gpu-installation">Prepare Environment for GPU Installation</h2> |
| |
| <p>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 the environment for CUDA and cuDNN.</p> |
| |
| <p>First, download and install <a href="https://developer.nvidia.com/cuda-toolkit">CUDA 8 toolkit</a>.</p> |
| |
| <p>Once you have the CUDA Toolkit installed you will need to set up the required environment variables by adding the following to your ~/.bash_profile file:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> <span class="nb">export </span><span class="nv">CUDA_HOME</span><span class="o">=</span>/usr/local/cuda |
| <span class="nb">export </span><span class="nv">DYLD_LIBRARY_PATH</span><span class="o">=</span><span class="s2">"</span><span class="nv">$CUDA_HOME</span><span class="s2">/lib:</span><span class="nv">$DYLD_LIBRARY_PATH</span><span class="s2">"</span> |
| <span class="nb">export </span><span class="nv">PATH</span><span class="o">=</span><span class="s2">"</span><span class="nv">$CUDA_HOME</span><span class="s2">/bin:</span><span class="nv">$PATH</span><span class="s2">"</span> |
| </code></pre></div> |
| <p>Reload ~/.bash_profile file and install dependencies: |
| <code>bash |
| . ~/.bash_profile |
| brew install coreutils |
| brew tap caskroom/cask |
| </code></p> |
| |
| <p>Then download <a href="https://developer.nvidia.com/cudnn">cuDNN 5</a>.</p> |
| |
| <p>Unzip the file and change to the cudnn root directory. Move the header files and libraries to your local CUDA Toolkit folder:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> <span class="nv">$ </span><span class="nb">sudo mv </span>include/cudnn.h /Developer/NVIDIA/CUDA-8.0/include/ |
| <span class="nv">$ </span><span class="nb">sudo mv </span>lib/libcudnn<span class="k">*</span> /Developer/NVIDIA/CUDA-8.0/lib |
| <span class="nv">$ </span><span class="nb">sudo ln</span> <span class="nt">-s</span> /Developer/NVIDIA/CUDA-8.0/lib/libcudnn<span class="k">*</span> /usr/local/cuda/lib/ |
| </code></pre></div> |
| <p>Now we can start to build MXNet.</p> |
| |
| <h2 id="build-the-shared-library">Build the Shared Library</h2> |
| |
| <h3 id="install-mxnet-dependencies">Install MXNet dependencies</h3> |
| |
| <p>Install the dependencies, required for MXNet, with the following commands: |
| - <a href="http://brew.sh/">Homebrew</a> |
| - OpenBLAS and homebrew/core (for linear algebraic operations) |
| - OpenCV (for computer vision operations)</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> <span class="c"># Paste this command in Mac terminal to install Homebrew</span> |
| /usr/bin/ruby <span class="nt">-e</span> <span class="s2">"</span><span class="si">$(</span>curl <span class="nt">-fsSL</span> https://raw.githubusercontent.com/Homebrew/install/master/install<span class="si">)</span><span class="s2">"</span> |
| |
| <span class="c"># Insert the Homebrew directory at the top of your PATH environment variable</span> |
| <span class="nb">export </span><span class="nv">PATH</span><span class="o">=</span>/usr/local/bin:/usr/local/sbin:<span class="nv">$PATH</span> |
| </code></pre></div><div class="highlight"><pre><code class="language-bash" data-lang="bash"> brew update |
| brew <span class="nb">install </span>pkg-config |
| brew <span class="nb">install </span>graphviz |
| brew <span class="nb">install </span>openblas |
| brew tap homebrew/core |
| brew <span class="nb">install </span>opencv@3 |
| |
| <span class="c"># If building with MKLDNN</span> |
| brew <span class="nb">install </span>llvm |
| |
| <span class="c"># Get pip</span> |
| easy_install pip |
| <span class="c"># For visualization of network graphs</span> |
| pip <span class="nb">install </span><span class="nv">graphviz</span><span class="o">==</span>0.8.4 |
| <span class="c"># Jupyter notebook</span> |
| pip <span class="nb">install </span>jupyter |
| </code></pre></div> |
| <h3 id="build-mxnet-shared-library">Build MXNet Shared Library</h3> |
| |
| <p>After you have installed the dependencies, pull the MXNet source code from Git and build MXNet to produce an MXNet library called <code>libmxnet.so</code>. You can clone the repository as described in the following code block, or you may try the <a href="download">download links</a> for your desired MXNet version.</p> |
| |
| <p>The file called <code>osx.mk</code> has the configuration required for building MXNet on OS X. First copy <code>make/osx.mk</code> into <code>config.mk</code>, which is used by the <code>make</code> command:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> git clone <span class="nt">--recursive</span> https://github.com/apache/incubator-mxnet ~/mxnet |
| <span class="nb">cd</span> ~/mxnet |
| <span class="nb">cp </span>make/osx.mk ./config.mk |
| <span class="nb">echo</span> <span class="s2">"USE_BLAS = openblas"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"ADD_CFLAGS += -I/usr/local/opt/openblas/include"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"ADD_LDFLAGS += -L/usr/local/opt/openblas/lib"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"ADD_LDFLAGS += -L/usr/local/lib/graphviz/"</span> <span class="o">>></span> ./config.mk |
| make <span class="nt">-j</span><span class="si">$(</span>sysctl <span class="nt">-n</span> hw.ncpu<span class="si">)</span> |
| </code></pre></div> |
| <p>To build with MKLDNN</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">echo</span> <span class="s2">"CC=</span><span class="si">$(</span>brew <span class="nt">--prefix</span> llvm<span class="si">)</span><span class="s2">/bin/clang"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"CXX=</span><span class="si">$(</span>brew <span class="nt">--prefix</span> llvm<span class="si">)</span><span class="s2">/bin/clang++"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"USE_OPENCV=1"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"USE_OPENMP=1"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"USE_MKLDNN=1"</span> <span class="o">>></span> ./config.mk |
| <span class="nb">echo</span> <span class="s2">"USE_BLAS=apple"</span> <span class="o">>></span> ./config.mk |
| <span class="nv">LIBRARY_PATH</span><span class="o">=</span><span class="si">$(</span>brew <span class="nt">--prefix</span> llvm<span class="si">)</span>/lib/ make <span class="nt">-j</span> <span class="si">$(</span>sysctl <span class="nt">-n</span> hw.ncpu<span class="si">)</span> |
| </code></pre></div> |
| <p>If building with <code>GPU</code> support, add the following configuration to config.mk and build: |
| <code>bash |
| echo "USE_CUDA = 1" >> ./config.mk |
| echo "USE_CUDA_PATH = /usr/local/cuda" >> ./config.mk |
| echo "USE_CUDNN = 1" >> ./config.mk |
| make -j$(sysctl -n hw.ncpu) |
| </code> |
| <strong>Note:</strong> To change build parameters, edit <code>config.mk</code>.</p> |
| |
| <p> </p> |
| |
| <p>We have installed MXNet core library. Next, we will install MXNet interface package for the programming language of your choice: |
| - <a href="#install-mxnet-for-python">Python</a> |
| - <a href="#install-the-mxnet-package-for-r">R</a> |
| - <a href="#install-the-mxnet-package-for-julia">Julia</a> |
| - <a href="#install-the-mxnet-package-for-scala">Scala</a> |
| - <a href="#install-the-mxnet-package-for-perl">Perl</a></p> |
| |
| <h2 id="install-mxnet-for-python">Install MXNet for Python</h2> |
| |
| <p>To install the MXNet Python binding navigate to the root of the MXNet folder then run the following:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nv">$ </span><span class="nb">cd </span>python |
| <span class="nv">$ </span>pip <span class="nb">install</span> <span class="nt">-e</span> <span class="nb">.</span> |
| </code></pre></div> |
| <p>Note that the <code>-e</code> flag is optional. It is equivalent to <code>--editable</code> and means that if you edit the source files, these changes will be reflected in the package installed.</p> |
| |
| <h2 id="install-the-mxnet-package-for-r">Install the MXNet Package for R</h2> |
| |
| <p>You have 2 options: |
| 1. Building MXNet with the Prebuilt Binary Package |
| 2. Building MXNet from Source Code</p> |
| |
| <h3 id="building-mxnet-with-the-prebuilt-binary-package">Building MXNet with the Prebuilt Binary Package</h3> |
| |
| <p>Install OpenCV and OpenBLAS.</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash">brew <span class="nb">install </span>opencv |
| brew <span class="nb">install </span>openblas@0.3.1 |
| </code></pre></div> |
| <p>Add a soft link to the OpenBLAS installation. This example links the 0.3.1 version:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">ln</span> <span class="nt">-sf</span> /usr/local/opt/openblas/lib/libopenblasp-r0.3.<span class="k">*</span> /usr/local/opt/openblas/lib/libopenblasp-r0.3.1.dylib |
| </code></pre></div> |
| <p>Note: packages for 3.6.x are not yet available.</p> |
| |
| <p>Install 3.5.x of R from <a href="https://cran.r-project.org/bin/macosx/">CRAN</a>. The latest is <a href="https://cran.r-project.org/bin/macosx/R-3.5.3.pkg">v3.5.3</a>.</p> |
| |
| <p>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:</p> |
| <div class="highlight"><pre><code class="language-r" data-lang="r"><span class="w"> </span><span class="n">cran</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="n">getOption</span><span class="p">(</span><span class="s2">"repos"</span><span class="p">)</span><span class="w"> |
| </span><span class="n">cran</span><span class="p">[</span><span class="s2">"dmlc"</span><span class="p">]</span><span class="w"> </span><span class="o"><-</span><span class="w"> </span><span class="s2">"https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/"</span><span class="w"> |
| </span><span class="n">options</span><span class="p">(</span><span class="n">repos</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">cran</span><span class="p">)</span><span class="w"> |
| </span><span class="n">install.packages</span><span class="p">(</span><span class="s2">"mxnet"</span><span class="p">)</span><span class="w"> |
| </span></code></pre></div> |
| <h3 id="building-mxnet-from-source-code">Building MXNet from Source Code</h3> |
| |
| <p>Run the following commands to install the MXNet dependencies and build the MXNet R package.</p> |
| <div class="highlight"><pre><code class="language-r" data-lang="r"><span class="w"> </span><span class="n">Rscript</span><span class="w"> </span><span class="o">-</span><span class="n">e</span><span class="w"> </span><span class="s2">"install.packages('devtools', repo = 'https://cran.rstudio.com')"</span><span class="w"> |
| </span></code></pre></div><div class="highlight"><pre><code class="language-bash" data-lang="bash"> <span class="nb">cd </span>R-package |
| Rscript <span class="nt">-e</span> <span class="s2">"library(devtools); library(methods); options(repos=c(CRAN='https://cran.rstudio.com')); install_deps(dependencies = TRUE)"</span> |
| <span class="nb">cd</span> .. |
| make rpkg |
| </code></pre></div> |
| <h2 id="install-the-mxnet-package-for-julia">Install the MXNet Package for Julia</h2> |
| |
| <p>The MXNet package for Julia is hosted in a separate repository, MXNet.jl, which is available on <a href="https://github.com/dmlc/MXNet.jl">GitHub</a>. To use Julia binding it with an existing libmxnet installation, set the <code>MXNET_HOME</code> environment variable by running the following command:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> <span class="nb">export </span><span class="nv">MXNET_HOME</span><span class="o">=</span>/<path to>/libmxnet |
| </code></pre></div> |
| <p>The path to the existing libmxnet installation should be the root directory of libmxnet. In other words, you should be able to find the <code>libmxnet.so</code> file at <code>$MXNET_HOME/lib</code>. For example, if the root directory of libmxnet is <code>~</code>, you would run the following command:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> <span class="nb">export </span><span class="nv">MXNET_HOME</span><span class="o">=</span>/~/libmxnet |
| </code></pre></div> |
| <p>You might want to add this command to your <code>~/.bashrc</code> file. If you do, you can install the Julia package in the Julia console using the following command:</p> |
| <div class="highlight"><pre><code class="language-julia" data-lang="julia"> <span class="n">Pkg</span><span class="o">.</span><span class="n">add</span><span class="x">(</span><span class="s">"MXNet"</span><span class="x">)</span> |
| </code></pre></div> |
| <p>For more details about installing and using MXNet with Julia, see the <a href="/versions/1.6.0/api/julia">MXNet Julia documentation</a>.</p> |
| |
| <h2 id="install-the-mxnet-package-for-scala">Install the MXNet Package for Scala</h2> |
| |
| <p>To use the MXNet-Scala package, you can acquire the Maven package as a dependency.</p> |
| |
| <p>Further information is in the <a href="scala_setup">MXNet-Scala Setup Instructions</a>.</p> |
| |
| <p>If you use IntelliJ or a similar IDE, you may want to follow the <a href="/versions/1.6.0/api/scala/docs/tutorials/mxnet_scala_on_intellij">MXNet-Scala on IntelliJ tutorial</a> instead.</p> |
| |
| <h2 id="install-the-mxnet-package-for-perl">Install the MXNet Package for Perl</h2> |
| |
| <p>Before you build MXNet for Perl from source code, you must complete <a href="#build-the-shared-library">building the shared library</a>. |
| After you build the shared library, run the following command from the MXNet source root directory to build the MXNet Perl package:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"> brew <span class="nb">install </span>swig |
| <span class="nb">sudo </span>sh <span class="nt">-c</span> <span class="s1">'curl -L https://cpanmin.us | perl - App::cpanminus'</span> |
| <span class="nb">sudo </span>cpanm <span class="nt">-q</span> <span class="nt">-n</span> PDL Mouse Function::Parameters Hash::Ordered PDL::CCS |
| |
| <span class="nv">MXNET_HOME</span><span class="o">=</span><span class="k">${</span><span class="nv">PWD</span><span class="k">}</span> |
| <span class="nb">export </span><span class="nv">PERL5LIB</span><span class="o">=</span><span class="k">${</span><span class="nv">HOME</span><span class="k">}</span>/perl5/lib/perl5 |
| |
| <span class="nb">cd</span> <span class="k">${</span><span class="nv">MXNET_HOME</span><span class="k">}</span>/perl-package/AI-MXNetCAPI/ |
| perl Makefile.PL <span class="nv">INSTALL_BASE</span><span class="o">=</span><span class="k">${</span><span class="nv">HOME</span><span class="k">}</span>/perl5 |
| make |
| install_name_tool <span class="nt">-change</span> lib/libmxnet.so <span class="se">\</span> |
| <span class="k">${</span><span class="nv">MXNET_HOME</span><span class="k">}</span>/lib/libmxnet.so <span class="se">\</span> |
| blib/arch/auto/AI/MXNetCAPI/MXNetCAPI.bundle |
| make <span class="nb">install |
| |
| cd</span> <span class="k">${</span><span class="nv">MXNET_HOME</span><span class="k">}</span>/perl-package/AI-NNVMCAPI/ |
| perl Makefile.PL <span class="nv">INSTALL_BASE</span><span class="o">=</span><span class="k">${</span><span class="nv">HOME</span><span class="k">}</span>/perl5 |
| make |
| install_name_tool <span class="nt">-change</span> lib/libmxnet.so <span class="se">\</span> |
| <span class="k">${</span><span class="nv">MXNET_HOME</span><span class="k">}</span>/lib/libmxnet.so <span class="se">\</span> |
| blib/arch/auto/AI/NNVMCAPI/NNVMCAPI.bundle |
| make <span class="nb">install |
| |
| cd</span> <span class="k">${</span><span class="nv">MXNET_HOME</span><span class="k">}</span>/perl-package/AI-MXNet/ |
| perl Makefile.PL <span class="nv">INSTALL_BASE</span><span class="o">=</span><span class="k">${</span><span class="nv">HOME</span><span class="k">}</span>/perl5 |
| make <span class="nb">install</span> |
| </code></pre></div> |
| <h2 id="next-steps">Next Steps</h2> |
| |
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