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  <div class="section" id="raspberry-pi">
<span id="raspberry-pi"></span><h1>Raspberry Pi平台编译指南<a class="headerlink" href="#raspberry-pi" title="永久链接至标题"></a></h1>
<p>通常有两个方法来构建基于 Rasspberry Pi 的版本：</p>
<ol class="simple">
<li>通过ssh等方式登录到Raspberry Pi系统上来构建。所需的开发工具和第三方库可以参考 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/Dockerfile"><code class="docutils literal"><span class="pre">/Dockerfile</span></code></a>。</li>
<li>另一个方法是交叉编译。这篇文档介绍在 Linux/x64 上交叉编译Raspberry Pi平台上适用的PaddlePaddle的方法和步骤。</li>
</ol>
<div class="section" id="">
<span id="id1"></span><h2>安装交叉编译器<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>克隆下面 Github repo</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>git clone https://github.com/raspberrypi/tools.git
</pre></div>
</div>
<p>即可在 <code class="docutils literal"><span class="pre">./tools/tree/master/arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64</span></code> 目录里找到交叉编译器 arm-linux-gnueabihf-gcc 4.8.3。运行该编译工具链需要一台 Linux x64 机器上以及 2.14版本以上的 glibc。</p>
</div>
<div class="section" id="">
<span id="id2"></span><h2>配置交叉编译参数<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>CMake<a class="reference external" href="https://cmake.org/cmake/help/v3.0/manual/cmake-toolchains.7.html#cross-compiling">支持交叉编译</a>。PaddlePaddle for Raspberry Pi的配置信息在<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/cmake/cross_compiling/raspberry_pi.cmake">cmake/cross_compiling/raspberry_pi.cmake</a>。</p>
<p>交叉编译Raspberry Pi版本PaddlePaddle库时，有一些必须配置的参数：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">CMAKE_SYSTEM_NAME</span></code>：CMake编译的目标平台，必须配置为<code class="docutils literal"><span class="pre">RPi</span></code>。在设置<code class="docutils literal"><span class="pre">CMAKE_SYSTEM_NAME=RPi</span></code>后，PaddlePaddle的CMake系统才认为在是在交叉编译Raspberry Pi系统的版本，并自动编译宿主机版protoc可执行文件、目标机版protobuf库、以及目标机版OpenBLAS库。</li>
<li><code class="docutils literal"><span class="pre">RPI_TOOLCHAIN</span></code>：编译工具链所在的绝对路径，或者相对于构建目录的相对路径。PaddlePaddle的CMake系统将根据该值自动设置需要使用的交叉编译器；否则，用户需要在cmake时手动设置这些值。无默认值。</li>
<li><code class="docutils literal"><span class="pre">RPI_ARM_NEON</span></code>：是否使用NEON指令。目前必须设置成<code class="docutils literal"><span class="pre">ON</span></code>，默认值为<code class="docutils literal"><span class="pre">ON</span></code>。</li>
<li><code class="docutils literal"><span class="pre">HOST_C/CXX_COMPILER</span></code>，宿主机的C/C++编译器。在编译宿主机版protoc可执行文件和目标机版OpenBLAS库时需要用到。默认设置成环境变量<code class="docutils literal"><span class="pre">CC</span></code>的值；若环境变量<code class="docutils literal"><span class="pre">CC</span></code>没有设置，则设置成<code class="docutils literal"><span class="pre">cc</span></code>编译器。</li>
</ul>
<p>一个常用的CMake配置如下：</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">cmake</span> <span class="o">-</span><span class="n">DCMAKE_SYSTEM_NAME</span><span class="o">=</span><span class="n">RPi</span> \
      <span class="o">-</span><span class="n">DRPI_TOOLCHAIN</span><span class="o">=</span><span class="n">your</span><span class="o">/</span><span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">arm</span><span class="o">-</span><span class="n">bcm2708</span><span class="o">/</span><span class="n">gcc</span><span class="o">-</span><span class="n">linaro</span><span class="o">-</span><span class="n">arm</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnueabihf</span><span class="o">-</span><span class="n">raspbian</span><span class="o">-</span><span class="n">x64</span> \
      <span class="o">-</span><span class="n">DRPI_ARM_NEON</span><span class="o">=</span><span class="n">ON</span> \
      <span class="o">-</span><span class="n">DCMAKE_INSTALL_PREFIX</span><span class="o">=</span><span class="n">your</span><span class="o">/</span><span class="n">path</span><span class="o">/</span><span class="n">to</span><span class="o">/</span><span class="n">install</span> \
      <span class="o">-</span><span class="n">DWITH_GPU</span><span class="o">=</span><span class="n">OFF</span> \
      <span class="o">-</span><span class="n">DWITH_C_API</span><span class="o">=</span><span class="n">ON</span> \
      <span class="o">-</span><span class="n">DWITH_PYTHON</span><span class="o">=</span><span class="n">OFF</span> \
      <span class="o">-</span><span class="n">DWITH_SWIG_PY</span><span class="o">=</span><span class="n">OFF</span> \
      <span class="o">..</span>
</pre></div>
</div>
<p>其中<code class="docutils literal"><span class="pre">WITH_C_API=ON</span></code>表示需要构建推理库。</p>
<p>用户还可根据自己的需求设置其他编译参数。比如希望最小化生成的库的大小，可以设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">MinSizeRel</span></code>；若希望最快的执行速度，则可设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">Release</span></code>。</p>
</div>
<div class="section" id="">
<span id="id3"></span><h2>编译和安装<a class="headerlink" href="#" title="永久链接至标题"></a></h2>
<p>CMake配置完成后，执行以下命令，PaddlePaddle将自动下载和编译所有第三方依赖库、编译和安装PaddlePaddle。</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>make
make install
</pre></div>
</div>
<p>注意：如果你曾经在源码目录下编译过其他平台的PaddlePaddle库，请先使用<code class="docutils literal"><span class="pre">rm</span> <span class="pre">-rf</span></code>命令删除<code class="docutils literal"><span class="pre">third_party</span></code>目录和<code class="docutils literal"><span class="pre">build</span></code>目录，以确保所有的第三方依赖库和PaddlePaddle代码都是针对新的CMake配置重新编译的。</p>
<p>执行完安装命令后，<code class="docutils literal"><span class="pre">your/path/to/install</span></code>目录中会包含<code class="docutils literal"><span class="pre">include</span></code>和<code class="docutils literal"><span class="pre">lib</span></code>目录，其中<code class="docutils literal"><span class="pre">include</span></code>中包含C-API的头文件，<code class="docutils literal"><span class="pre">lib</span></code>中包含一个Raspberry Pi版本的库。</p>
</div>
</div>


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