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<h1>安装与编译<a class="headerlink" href="#id1" title="永久链接至标题"></a></h1>
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<p id="install-steps">PaddlePaddle针对不同的用户群体提供了多种安装方式。</p>
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<h2>专注深度学习模型开发<a class="headerlink" href="#id2" title="永久链接至标题"></a></h2>
<p>PaddlePaddle提供了多种python wheel包,可通过pip一键安装:</p>
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<p>这是最便捷的安装方式,请根据机器配置和系统选择对应的安装包。</p>
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<h2>关注底层框架<a class="headerlink" href="#id3" title="永久链接至标题"></a></h2>
<p>PaddlePaddle提供了基于Docker的安装方式,请参照以下教程:</p>
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<p>我们推荐在Docker中运行PaddlePaddle,该方式具有以下优势:</p>
<ul class="simple">
<li>无需单独安装第三方依赖</li>
<li>方便分享运行时环境,易于问题的复现</li>
</ul>
<p>对于有定制化二进制文件需求的用户,我们同样提供了从源码编译安装PaddlePaddle的方法:</p>
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<div class="admonition warning">
<p class="first admonition-title">警告</p>
<p class="last">需要提醒的是,这种安装方式会涉及到一些第三方库的下载、编译及安装,整个安装过程耗时较长。</p>
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<h2>常见问题汇总<a class="headerlink" href="#id4" title="永久链接至标题"></a></h2>
<p>如果在安装过程中遇到了问题,请先尝试在下面的页面寻找答案:</p>
<p><a class="reference internal" href="../faq/build_and_install/index_cn.html#install-faq"><span class="std std-ref">常见问题解答</span></a></p>
<p>如果问题没有得到解决,欢迎向PaddlePaddle社区反馈问题:</p>
<p><a class="reference external" href="https://github.com/PaddlePaddle/Paddle/issues/new">创建issue</a></p>
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