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  <div class="section" id="c-api">
<span id="c-api"></span><h1>安装与编译C-API预测库<a class="headerlink" href="#c-api" title="永久链接至标题">¶</a></h1>
<div class="section" id="">
<span id="id1"></span><h2>概述<a class="headerlink" href="#" title="永久链接至标题">¶</a></h2>
<p>使用 C-API 进行预测依赖于将 PaddlePaddle 核心代码编译成链接库，只需在编译时需配制下面这些编译选项：</p>
<p>必须配置选项：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">WITH_C_API</span></code>，必须配置为<code class="docutils literal"><span class="pre">ON</span></code>。</li>
</ul>
<p>推荐配置选项：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">WITH_PYTHON</span></code>，推荐配置为<code class="docutils literal"><span class="pre">OFF</span></code></li>
<li><code class="docutils literal"><span class="pre">WITH_SWIG_PY</span></code>，推荐配置为<code class="docutils literal"><span class="pre">OFF</span></code></li>
<li><code class="docutils literal"><span class="pre">WITH_GOLANG</span></code>，推荐设置为<code class="docutils literal"><span class="pre">OFF</span></code></li>
</ul>
<p>可选配置选项：</p>
<ul class="simple">
<li><code class="docutils literal"><span class="pre">WITH_GPU</span></code>，可配置为<code class="docutils literal"><span class="pre">ON/OFF</span></code></li>
<li><code class="docutils literal"><span class="pre">WITH_MKL</span></code>，可配置为<code class="docutils literal"><span class="pre">ON/OFF</span></code></li>
</ul>
<p>对推荐配置中的选项建议按照设置，以避免链接不必要的库。其它可选编译选项按需进行设定。</p>
<p>下面的代码片段从github拉取最新代码，配制编译选项（需要将PADDLE_ROOT替换为PaddlePaddle预测库的安装路径）：</p>
<div class="highlight-shell"><div class="highlight"><pre><span></span><span class="nv">PADDLE_ROOT</span><span class="o">=</span>/path/of/capi
git clone https://github.com/PaddlePaddle/Paddle.git
<span class="nb">cd</span> Paddle
mkdir build
<span class="nb">cd</span> build
cmake -DCMAKE_INSTALL_PREFIX<span class="o">=</span><span class="nv">$PADDLE_ROOT</span> <span class="se">\</span>
      -DCMAKE_BUILD_TYPE<span class="o">=</span>Release <span class="se">\</span>
      -DWITH_C_API<span class="o">=</span>ON <span class="se">\</span>
      -DWITH_SWIG_PY<span class="o">=</span>OFF <span class="se">\</span>
      -DWITH_GOLANG<span class="o">=</span>OFF <span class="se">\</span>
      -DWITH_PYTHON<span class="o">=</span>OFF <span class="se">\</span>
      -DWITH_MKL<span class="o">=</span>OFF <span class="se">\</span>
      -DWITH_GPU<span class="o">=</span>OFF  <span class="se">\</span>
      ..
</pre></div>
</div>
<p>执行上述代码生成Makefile文件后，执行：<code class="docutils literal"><span class="pre">make</span> <span class="pre">&amp;&amp;</span> <span class="pre">make</span> <span class="pre">install</span></code>。成功编译后，使用C-API所需的依赖（包括：（1）编译出的PaddlePaddle预测库和头文件；（2）第三方链接库和头文件）均会存放于<code class="docutils literal"><span class="pre">PADDLE_ROOT</span></code>目录中。</p>
<p>编译成功后在 <code class="docutils literal"><span class="pre">PADDLE_ROOT</span></code> 下会看到如下目录结构（包括了编译出的PaddlePaddle头文件和链接库，以及第三方依赖链接库和头文件（如果需要，由链接方式决定））：</p>
<div class="highlight-text"><div class="highlight"><pre><span></span>├── include
│   └── paddle
│       ├── arguments.h
│       ├── capi.h
│       ├── capi_private.h
│       ├── config.h
│       ├── error.h
│       ├── gradient_machine.h
│       ├── main.h
│       ├── matrix.h
│       ├── paddle_capi.map
│       └── vector.h
├── lib
│   ├── libpaddle_capi_engine.a
│   ├── libpaddle_capi_layers.a
│   ├── libpaddle_capi_shared.so
│   └── libpaddle_capi_whole.a
└── third_party
    ├── gflags
    │   ├── include
    │   │   └── gflags
    │   │       ├── gflags_completions.h
    │   │       ├── gflags_declare.h
    │   │       ...
    │   └── lib
    │       └── libgflags.a
    ├── glog
    │   ├── include
    │   │   └── glog
    │   │       ├── config.h
    │   │       ...
    │   └── lib
    │       └── libglog.a
    ├── openblas
    │   ├── include
    │   │   ├── cblas.h
    │   │   ...
    │   └── lib
    │       ...
    ├── protobuf
    │   ├── include
    │   │   └── google
    │   │       └── protobuf
    │   │           ...
    │   └── lib
    │       └── libprotobuf-lite.a
    └── zlib
        ├── include
        │   ...
        └── lib
            ...
</pre></div>
</div>
</div>
<div class="section" id="">
<span id="id2"></span><h2>链接说明<a class="headerlink" href="#" title="永久链接至标题">¶</a></h2>
<p>目前提供三种链接方式：</p>
<ol class="simple">
<li>链接<code class="docutils literal"><span class="pre">libpaddle_capi_shared.so</span></code> 动态库<ul>
<li>使用 PaddlePaddle C-API 开发预测程序链接<code class="docutils literal"><span class="pre">libpaddle_capi_shared.so</span></code>时，需注意：<ol>
<li>如果编译时指定编译CPU版本，且使用<code class="docutils literal"><span class="pre">OpenBLAS</span></code>数学库，在使用C-API开发预测程序时，只需要链接<code class="docutils literal"><span class="pre">libpaddle_capi_shared.so</span></code>这一个库。</li>
<li>如果是用编译时指定CPU版本，且使用<code class="docutils literal"><span class="pre">MKL</span></code>数学库，由于<code class="docutils literal"><span class="pre">MKL</span></code>库有自己独立的动态库文件，在使用PaddlePaddle C-API开发预测程序时，需要自己链接MKL链接库。</li>
<li>如果编译时指定编译GPU版本，CUDA相关库会在预测程序运行时动态装载，需要将CUDA相关的库设置到<code class="docutils literal"><span class="pre">LD_LIBRARY_PATH</span></code>环境变量中。</li>
</ol>
</li>
<li>这种方式最为简便，链接相对容易，<strong>在无特殊需求情况下，推荐使用此方式</strong>。</li>
</ul>
</li>
<li>链接静态库 <code class="docutils literal"><span class="pre">libpaddle_capi_whole.a</span></code><ul>
<li>使用PaddlePaddle C-API 开发预测程序链接<code class="docutils literal"><span class="pre">libpaddle_capi_whole.a</span></code>时，需注意：<ol>
<li>需要指定<code class="docutils literal"><span class="pre">-Wl,--whole-archive</span></code>链接选项。</li>
<li>需要显式地链接 <code class="docutils literal"><span class="pre">gflags</span></code>、<code class="docutils literal"><span class="pre">glog</span></code>、<code class="docutils literal"><span class="pre">libz</span></code>、<code class="docutils literal"><span class="pre">protobuf</span></code> 等第三方库，可在<code class="docutils literal"><span class="pre">PADDLE_ROOT/third_party</span></code>下找到。</li>
<li>如果在编译 C-API 时使用OpenBLAS数学库，需要显示地链接<code class="docutils literal"><span class="pre">libopenblas.a</span></code>。</li>
<li>如果在编译 C-API 是使用MKL数学库，需要显示地链接MKL的动态库。</li>
</ol>
</li>
</ul>
</li>
<li>链接静态库 <code class="docutils literal"><span class="pre">libpaddle_capi_layers.a</span></code>和<code class="docutils literal"><span class="pre">libpaddle_capi_engine.a</span></code><ul>
<li>使用PaddlePaddle C-API 开发预测程序链接<code class="docutils literal"><span class="pre">libpaddle_capi_whole.a</span></code>时，需注意：<ol>
<li>这种链接方式主要用于移动端预测。</li>
<li>为了减少生成链接库的大小把<code class="docutils literal"><span class="pre">libpaddle_capi_whole.a</span></code>拆成以上两个静态链接库。</li>
<li>需指定<code class="docutils literal"><span class="pre">-Wl,--whole-archive</span> <span class="pre">-lpaddle_capi_layers</span></code>&nbsp;和 <code class="docutils literal"><span class="pre">-Wl,--no-whole-archive</span> <span class="pre">-lpaddle_capi_engine</span></code> 进行链接。</li>
<li>第三方依赖库需要按照与方式2同样方法显示地进行链接。</li>
</ol>
</li>
</ul>
</li>
</ol>
</div>
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