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<h1 class="post-title">Ubuntu Setup</h1>
<h3></h3><a style="float:left; margin-top:20px" href="/versions/1.8.0/get_started" class="btn btn-action">Get Started
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<h1 id="installing-mxnet-from-source-on-ubuntu">Installing MXNet from source on Ubuntu</h1>
<p>The following installation instructions are for building MXNet from source on
computers running <strong>Ubuntu 16.04</strong> or higher. For instructions to build MXNet
from source on other platforms, see the general <a href="build_from_source">Build From Source
guide</a>.</p>
<p>Instead of building from source, you can install a binary version of MXNet. For
that, please follow the information at <a href="get_started">Get Started</a>.</p>
<p>Building MXNet from source is a two-step process:</p>
<ol>
<li>Build the shared library from the MXNet C++ source code.</li>
<li>(optional) Install the supported language-specific packages for MXNet.</li>
</ol>
<h2 id="contents">Contents</h2>
<ul>
<li><a href="#cuda-dependencies">CUDA Dependencies</a></li>
<li><a href="#build-mxnet-from-source">Build the MXNet shared library from source</a></li>
<li><a href="#installing-language-packages-for-mxnet">Install Language Packages</a>
<ul>
<li><a href="#install-the-mxnet-package-for-r">R</a></li>
<li><a href="#install-the-mxnet-package-for-julia">Julia</a></li>
<li><a href="#install-the-mxnet-package-for-scala">Scala</a></li>
<li><a href="#install-the-mxnet-package-for-java">Java</a></li>
<li><a href="#install-the-mxnet-package-for-perl">Perl</a></li>
<li><a href="#contributions">Contributions</a></li>
<li><a href="#next-steps">Next Steps</a></li>
</ul></li>
</ul>
<p><hr></p>
<h2 id="cuda-dependencies">CUDA Dependencies</h2>
<p>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 toolkit</a>. CUDA 9.2 is recommended.</p>
<p>Then download <a href="https://developer.nvidia.com/cudnn">cuDNN 7.1.4</a>.</p>
<p>Unzip the file and change to the cuDNN root directory. Move the header and libraries to your local CUDA Toolkit folder:</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">tar </span>xvzf cudnn-9.2-linux-x64-v7.1
<span class="nb">sudo cp</span> <span class="nt">-P</span> cuda/include/cudnn.h /usr/local/cuda/include
<span class="nb">sudo cp</span> <span class="nt">-P</span> cuda/lib64/libcudnn<span class="k">*</span> /usr/local/cuda/lib64
<span class="nb">sudo chmod </span>a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn<span class="k">*</span>
<span class="nb">sudo </span>ldconfig
</code></pre></div>
<p><hr></p>
<h2 id="build-the-mxnet-shared-library-from-source">Build the MXNet shared library from source</h2>
<p>It is recommended that you review the general <a href="build_from_source">build from source</a> instructions before continuing.</p>
<p>On Ubuntu versions 16.04 or later, you need the following dependencies:</p>
<p><strong>Step 1:</strong> Install prerequisite packages.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">sudo </span>apt-get update
<span class="nb">sudo </span>apt-get <span class="nb">install</span> <span class="nt">-y</span> build-essential git ninja-build ccache libopenblas-dev libopencv-dev cmake
</code></pre></div>
<p>Instead of <code>libopenblas-dev</code> you may also choose a different math library.
Further information is provided in the source guide&#39;s <a href="build_from_source#math-library-selection">Math Library
Selection</a> section.</p>
<p><code>libopencv-dev</code> is an optional dependency. You can delete it from above <code>apt-get
install</code> line and build MXNet without OpenCV support by setting <code>USE_OPENCV</code> to
<code>OFF</code> in the configuration file described below.</p>
<p>Note: CMake 3.13 or higher is required. If you are running an older version of
CMake, you will see an error message like <code>CMake 3.13 or higher is required. You
are running version 3.10.2</code> during Step 3. In that case please update CMake on
your system. You can download and install latest CMake from <a href="https://cmake.org">https://cmake.org</a> or
via <code>pip3</code> with <code>pip3 install --user --upgrade &quot;cmake&gt;=3.13.2&quot;</code>. If <code>pip3</code> is
not available on your system, you can install it via <code>sudo apt-get install -y
python3-pip</code>. After installing cmake with <code>pip3</code>, it is usually available at
<code>~/.local/bin/cmake</code> or directly as <code>cmake</code>.</p>
<p><strong>Step 2:</strong> Download MXNet sources and configure</p>
<p>Clone the repository:</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.git mxnet
<span class="nb">cd </span>mxnet
<span class="nb">cp </span>config/linux.cmake config.cmake <span class="c"># or config/linux_gpu.cmake for build with CUDA</span>
</code></pre></div>
<p>Please edit the config.cmake file based on your needs. The file contains a
series of <code>set(name value CACHE TYPE &quot;Description&quot;)</code> entries. You can change the
values of the respective <code>value</code>.</p>
<p>For a GPU-enabled build make sure you have installed the <a href="#cuda-dependencies">CUDA dependencies
first</a>). When building a GPU-enabled build on a machine
without GPU, MXNet build can&#39;t autodetect your GPU architecture and will target
all available GPU architectures. Please set the <code>MXNET_CUDA_ARCH</code> variable in
<code>config.cmake</code> to your desired cuda architecture to speed up the build.</p>
<p>To (optionally) build with MKL math library, please install MKL first based on
the guide in <a href="build_from_source#math-library-selection">Math Library Selection</a>.</p>
<p><strong>Step 3:</strong> Build MXNet core shared library.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">rm</span> <span class="nt">-rf</span> build
<span class="nb">mkdir</span> <span class="nt">-p</span> build <span class="o">&amp;&amp;</span> <span class="nb">cd </span>build
cmake ..
cmake <span class="nt">--build</span> <span class="nb">.</span>
</code></pre></div>
<p>Specify <code>cmake --build . --parallel N</code> to set the number of parallel compilation
jobs. Default is derived from CPUs available.</p>
<p>After a successful build, you will find the <code>libmxnet.so</code> in the <code>build</code> folder
in your MXNet project root. <code>libmxnet.so</code> is required to install language
bindings described in the next section.</p>
<p><hr></p>
<h2 id="installing-language-packages-for-mxnet">Installing Language Packages for MXNet</h2>
<p>After you have installed the MXNet core library. You may install MXNet interface
packages for the programming language of your choice:
- <a href="#install-mxnet-for-python">Python</a>
- <a href="#install-the-mxnet-package-for-c&plus;&plus;">C++</a>
- <a href="#install-the-mxnet-package-for-clojure">Clojure</a>
- <a href="#install-the-mxnet-package-for-julia">Julia</a>
- <a href="#install-the-mxnet-package-for-perl">Perl</a>
- <a href="#install-the-mxnet-package-for-r">R</a>
- <a href="#install-the-mxnet-package-for-scala">Scala</a>
- <a href="#install-the-mxnet-package-for-java">Java</a></p>
<p><hr></p>
<h3 id="install-mxnet-for-python">Install MXNet for Python</h3>
<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="nb">cd </span>python
pip <span class="nb">install</span> <span class="nt">--user</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>
<h4 id="optional-python-packages">Optional Python Packages</h4>
<p>You may optionally install <code>graphviz</code> library that is used for visualizing network graphs you build on MXNet. You
may also install <a href="http://jupyter.readthedocs.io/">Jupyter Notebook</a> which is used for running MXNet tutorials and
examples.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">pip <span class="nb">install</span> <span class="nt">--user</span> <span class="nv">graphviz</span><span class="o">==</span>0.8.4 jupyter
</code></pre></div>
<p><hr></p>
<h3 id="install-the-mxnet-package-for-c">Install the MXNet Package for C++</h3>
<p>Refer to the <a href="c_plus_plus">C++ Package setup guide</a>.
<hr></p>
<h3 id="install-the-mxnet-package-for-clojure">Install the MXNet Package for Clojure</h3>
<p>Refer to the <a href="https://github.com/apache/incubator-mxnet/tree/master/contrib/clojure-package">Clojure setup guide</a>.
<hr></p>
<h3 id="install-the-mxnet-package-for-julia">Install the MXNet Package for Julia</h3>
<h4 id="install-julia">Install Julia</h4>
<p>The package available through <code>apt-get</code> is old and not compatible with the latest version of MXNet.
Fetch the latest version (1.0.3 at the time of this writing).</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">wget <span class="nt">-qO</span> julia-10.tar.gz https://julialang-s3.julialang.org/bin/linux/x64/1.0/julia-1.0.3-linux-x86_64.tar.gz
</code></pre></div>
<p>Place the extracted files somewhere like a julia folder in your home dir.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">mkdir</span> ~/julia
<span class="nb">mv </span>julia-10.tar.gz ~/julia
<span class="nb">cd</span> ~/julia
<span class="nb">tar </span>xvf julia-10.tar.gz
</code></pre></div>
<p>Test Julia.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">cd </span>julia-1.0.3/bin
julia <span class="nt">-e</span> <span class="s1">'using InteractiveUtils; versioninfo()'</span>
</code></pre></div>
<p>If you&#39;re still getting the old version, remove it.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">sudo </span>apt remove julia
</code></pre></div>
<p>Update your PATH to have Julia&#39;s new location. Add this to your <code>.zshrc</code>, <code>.bashrc</code>, <code>.profile</code> or <code>.bash_profile</code>.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">export </span><span class="nv">PATH</span><span class="o">=</span>~/julia/julia-1.0.3/bin:<span class="nv">$PATH</span>
</code></pre></div>
<p>Validate your PATH.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">echo</span> <span class="nv">$PATH</span>
</code></pre></div>
<p>Validate Julia works and is the expected version.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">julia <span class="nt">-e</span> <span class="s1">'using InteractiveUtils; versioninfo()'</span>
</code></pre></div>
<h4 id="setup-your-mxnet-julia-environment">Setup Your MXNet-Julia Environment</h4>
<p><strong>For each of the following environment variables, add the commands to your <code>.zshrc</code>, <code>.bashrc</code>, <code>.profile</code>
or <code>.bash_profile</code> to make them persist.</strong></p>
<p>Create a <code>julia-depot</code> folder and environment variable.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">mkdir </span>julia-depot
<span class="nb">export </span><span class="nv">JULIA_DEPOT_PATH</span><span class="o">=</span><span class="nv">$HOME</span>/julia/julia-depot
</code></pre></div>
<p>To use the Julia binding with an existing <code>libmxnet</code> installation, set the <code>MXNET_HOME</code> environment variable to the
MXNet source root. For example:</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">export </span><span class="nv">MXNET_HOME</span><span class="o">=</span><span class="nv">$HOME</span>/incubator-mxnet
</code></pre></div>
<p>Now set the <code>LD_LIBRARY_PATH</code> environment variable to where <code>libmxnet.so</code> is found. If you can&#39;t find it, you might
have skipped the building MXNet step. Go back and <a href="#build-the-shared-library">build MXNet</a> first. For example:</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">export </span><span class="nv">LD_LIBRARY_PATH</span><span class="o">=</span><span class="nv">$HOME</span>/incubator-mxnet/lib:<span class="nv">$LD_LIBRARY_PATH</span>
</code></pre></div>
<p>Verify the location of <code>libjemalloc.so</code> and set the <code>LD_PRELOAD</code> environment variable.
<code>bash
export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so:$LD_PRELOAD
</code></p>
<p>With all of these updates, here&#39;s an example of what you might want to have in your <code>.zshrc</code>, <code>.bashrc</code>, <code>.profile</code>
or <code>.bash_profile</code>.</p>
<div class="highlight"><pre><code class="language-" data-lang="">export PATH=$HOME/bin:$HOME/.local/bin:$HOME/julia/julia-1.0.3/bin:$PATH
export JULIA_DEPOT_PATH=$HOME/julia/julia-depot
export MXNET_HOME=$HOME/incubator-mxnet
export LD_LIBRARY_PATH=$HOME/incubator-mxnet/lib:$LD_LIBRARY_PATH
export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so:$LD_PRELOAD
</code></pre></div>
<p>Install MXNet with Julia:</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">julia <span class="nt">--color</span><span class="o">=</span><span class="nb">yes</span> <span class="nt">--project</span><span class="o">=</span>./ <span class="nt">-e</span> <span class="se">\</span>
<span class="s1">'using Pkg; \
Pkg.develop(PackageSpec(name="MXNet", path = joinpath(ENV["MXNET_HOME"], "julia")))'</span>
</code></pre></div>
<p>For more details about installing and using MXNet with Julia, see the
<a href="/versions/1.8.0/api/julia">MXNet Julia documentation</a>.</p>
<p><hr></p>
<h3 id="install-the-mxnet-package-for-perl">Install the MXNet Package for Perl</h3>
<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"><span class="nb">sudo </span>apt-get <span class="nb">install </span>libmouse-perl pdl cpanminus swig libgraphviz-perl
cpanm <span class="nt">-q</span> <span class="nt">-L</span> <span class="s2">"</span><span class="k">${</span><span class="nv">HOME</span><span class="k">}</span><span class="s2">/perl5"</span> Function::Parameters Hash::Ordered PDL::CCS
<span class="nv">MXNET_HOME</span><span class="o">=</span><span class="k">${</span><span class="nv">PWD</span><span class="k">}</span>
<span class="nb">export </span><span class="nv">LD_LIBRARY_PATH</span><span class="o">=</span><span class="k">${</span><span class="nv">MXNET_HOME</span><span class="k">}</span>/lib
<span class="nb">export </span><span class="nv">PERL5LIB</span><span class="o">=</span><span class="k">${</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 <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 <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>
<p><hr></p>
<h3 id="install-the-mxnet-package-for-r">Install the MXNet Package for R</h3>
<p>Before you build MXNet for R from source code, you must complete
<a href="#build-the-shared-library">building the shared library</a>.</p>
<p><strong>Minimum Requirements</strong>
1. <a href="https://gcc.gnu.org/gcc-4.8/">GCC 4.8</a> or later to compile C++ 11.
2. <a href="https://www.gnu.org/software/make/">GNU Make</a></p>
<p><br/></p>
<p><strong>Build the MXNet core shared library</strong></p>
<p><strong>Step 1</strong> Install R, cran-devtools and dependencies</p>
<p>To install R and the devtools, run</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="nb">sudo </span>apt-get update
<span class="nb">sudo </span>apt-get <span class="nb">install</span> <span class="nt">-y</span> r-base-core r-cran-devtools libcairo2-dev libxml2-dev
</code></pre></div>
<p><code>libxml2-dev</code> is required for the <code>roxygen2</code> dependency and <code>libcairo2-dev</code> is
required for the suggested <code>imager</code> dependency.</p>
<p>To generate documentation, it is also required to install <code>roxygen2</code>.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">R
<span class="o">&gt;</span> install.packages<span class="o">(</span><span class="s2">"roxygen2"</span><span class="o">)</span>
<span class="o">&gt;</span> Would you like to use a personal library instead? <span class="o">(</span>y/n<span class="o">)</span> y
<span class="o">&gt;</span> Would you like to create a personal library ... to <span class="nb">install </span>packages into? <span class="o">(</span>y/n<span class="o">)</span> y
</code></pre></div>
<p>Note: To successfully complete the next step, you need a personal R library. If
you were able to run <code>install.packages(&quot;roxygen2&quot;)</code> above, you either had
already, or you have successfully created a personal library just now.</p>
<p><strong>Step 2</strong> Make and install the MXNet-R bindings.</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">make <span class="nt">-f</span> R-package/Makefile rpkg
</code></pre></div>
<h4 id="verify-mxnet-r-installation">Verify MXNet-R Installation</h4>
<p>You can verify your MXNet-R installation as follows:</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash">R
</code></pre></div>
<p>At the R prompt enter the following:</p>
<div class="highlight"><pre><code class="language-r" data-lang="r"><span class="n">library</span><span class="p">(</span><span class="n">mxnet</span><span class="p">)</span><span class="w">
</span><span class="n">a</span><span class="w"> </span><span class="o">&lt;-</span><span class="w"> </span><span class="n">mx.nd.ones</span><span class="p">(</span><span class="nf">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span><span class="m">3</span><span class="p">),</span><span class="w"> </span><span class="n">ctx</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">mx.cpu</span><span class="p">())</span><span class="w">
</span><span class="n">b</span><span class="w"> </span><span class="o">&lt;-</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="m">2</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="m">1</span><span class="w">
</span><span class="n">b</span><span class="w">
</span></code></pre></div>
<p>You should see the following output:</p>
<div class="highlight"><pre><code class="language-" data-lang=""> [,1] [,2] [,3]
[1,] 3 3 3
[2,] 3 3 3
&gt; quit()
</code></pre></div>
<p><hr></p>
<h3 id="install-the-mxnet-package-for-scala">Install the MXNet Package for Scala</h3>
<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/1.8.0/api/scala/docs/tutorials/mxnet_scala_on_intellij">MXNet-Scala on IntelliJ tutorial</a> instead.
<hr></p>
<h3 id="install-the-mxnet-package-for-java">Install the MXNet Package for Java</h3>
<p>To use the MXNet-Java package, you can acquire the Maven package as a dependency.</p>
<p>Further information is in the <a href="java_setup">MXNet-Java Setup Instructions</a>.</p>
<p>If you use IntelliJ or a similar IDE, you may want to follow the
<a href="/versions/1.8.0/api/java/docs/tutorials/mxnet_java_on_intellij">MXNet-Java on IntelliJ tutorial</a> instead.
<hr></p>
<h2 id="contributions">Contributions</h2>
<p>You are more than welcome to contribute easy installation scripts for other operating systems and programming languages.
See the <a href="/versions/1.8.0/community/contribute">community contributions page</a> for further information.</p>
<h2 id="next-steps">Next Steps</h2>
<ul>
<li><a href="/versions/1.8.0/api">Tutorials</a></li>
<li><a href="/versions/1.8.0/api/faq/add_op_in_backend">How To</a></li>
<li><a href="/versions/1.8.0/api/architecture/overview">Architecture</a></li>
</ul>
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