pip_install_cn.html



<!DOCTYPE html>
<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
<head>
  <meta charset="utf-8">
  
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  
  <title>使用pip安装 &mdash; PaddlePaddle  文档</title>
  

    <link rel="stylesheet" href="../_static/css/theme.css" type="text/css" />
  

        <link rel="index" title="索引"
              href="../genindex.html"/>
        <link rel="search" title="搜索" href="../search.html"/>
    <link rel="top" title="PaddlePaddle  文档" href="../index.html"/>
        <link rel="up" title="安装与编译" href="index_cn.html"/>
        <link rel="next" title="使用Docker安装运行" href="docker_install_cn.html"/>
        <link rel="prev" title="安装与编译" href="index_cn.html"/> 
<script>
var _hmt = _hmt || [];
(function() {
  var hm = document.createElement("script");
  hm.src = "//hm.baidu.com/hm.js?b9a314ab40d04d805655aab1deee08ba";
  var s = document.getElementsByTagName("script")[0]; 
  s.parentNode.insertBefore(hm, s);
})();
</script>


  <script src="../_static/js/modernizr.min.js"></script>

</head>

<body class="wy-body-for-nav" role="document">

  <div class="wy-grid-for-nav">

    
    <nav data-toggle="wy-nav-shift" class="wy-nav-side">
      <div class="wy-side-scroll">
        <div class="wy-side-nav-search">
          

            <a href="../index_cn.html" class="icon icon-home"> PaddlePaddle
          

          </a>

          
<div role="search">
  <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
    <input type="text" name="q" placeholder="Search docs" />
    <input type="hidden" name="check_keywords" value="yes" />
    <input type="hidden" name="area" value="default" />
  </form>
</div>

          
        </div>

        <div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
          
<nav class="doc-menu-vertical" role="navigation">

<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../getstarted/index_cn.html">新手入门</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../getstarted/quickstart_cn.html">快速开始</a></li>
<li class="toctree-l2"><a class="reference internal" href="../getstarted/concepts/use_concepts_cn.html">基本使用概念</a></li>
</ul>
</li>
<li class="toctree-l1 current"><a class="reference internal" href="index_cn.html">安装与编译</a><ul class="current">
<li class="toctree-l2 current"><a class="current reference internal" href="#">使用pip安装</a></li>
<li class="toctree-l2"><a class="reference internal" href="docker_install_cn.html">使用Docker安装运行</a></li>
<li class="toctree-l2"><a class="reference internal" href="build_from_source_cn.html">从源码编译</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../howto/index_cn.html">进阶使用</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../howto/cmd_parameter/index_cn.html">命令行参数设置</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../howto/cmd_parameter/use_case_cn.html">使用案例</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/cmd_parameter/arguments_cn.html">参数概述</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/cmd_parameter/detail_introduction_cn.html">细节描述</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../howto/cluster/index_cn.html">分布式训练</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../howto/cluster/preparations_cn.html">环境准备</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/cluster/cmd_argument_cn.html">启动参数说明</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/cluster/multi_cluster/index_cn.html">在不同集群中运行</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../howto/cluster/multi_cluster/k8s_cn.html">Kubernetes单机训练</a></li>
<li class="toctree-l4"><a class="reference internal" href="../howto/cluster/multi_cluster/k8s_distributed_cn.html">Kubernetes分布式训练</a></li>
<li class="toctree-l4"><a class="reference internal" href="../howto/cluster/multi_cluster/openmpi_cn.html">在OpenMPI集群中启动训练</a></li>
<li class="toctree-l4"><a class="reference internal" href="../howto/cluster/multi_cluster/fabric_cn.html">使用fabric启动集群训练</a></li>
<li class="toctree-l4"><a class="reference internal" href="../howto/cluster/multi_cluster/k8s_aws_cn.html">Kubernetes on AWS</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../howto/capi/index_cn.html">C-API预测库</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../howto/capi/compile_paddle_lib_cn.html">安装与编译C-API预测库</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/capi/organization_of_the_inputs_cn.html">输入/输出数据组织</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/capi/workflow_of_capi_cn.html">C-API使用流程</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../howto/rnn/index_cn.html">RNN模型</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../howto/rnn/rnn_config_cn.html">RNN配置</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/rnn/recurrent_group_cn.html">Recurrent Group教程</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/rnn/hierarchical_layer_cn.html">支持双层序列作为输入的Layer</a></li>
<li class="toctree-l3"><a class="reference internal" href="../howto/rnn/hrnn_rnn_api_compare_cn.html">单双层RNN API对比介绍</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../howto/optimization/gpu_profiling_cn.html">GPU性能调优</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../dev/index_cn.html">开发标准</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../dev/contribute_to_paddle_cn.html">如何贡献代码</a></li>
<li class="toctree-l2"><a class="reference internal" href="../dev/write_docs_cn.html">如何贡献文档</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../faq/index_cn.html">FAQ</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../faq/build_and_install/index_cn.html">编译安装与单元测试</a></li>
<li class="toctree-l2"><a class="reference internal" href="../faq/model/index_cn.html">模型配置</a></li>
<li class="toctree-l2"><a class="reference internal" href="../faq/parameter/index_cn.html">参数设置</a></li>
<li class="toctree-l2"><a class="reference internal" href="../faq/local/index_cn.html">本地训练与预测</a></li>
<li class="toctree-l2"><a class="reference internal" href="../faq/cluster/index_cn.html">集群训练与预测</a></li>
</ul>
</li>
</ul>

</nav>

        </div>
      </div>
    </nav>

    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">

      
      <nav class="wy-nav-top" role="navigation" aria-label="top navigation">
        <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
        <a href="../index_cn.html">PaddlePaddle</a>
      </nav>


      <div class="wy-nav-content">
        <div class="rst-content">
          

<div role="navigation" aria-label="breadcrumbs navigation">
  <ul class="wy-breadcrumbs">
    <li><a href="../index_cn.html">Docs</a> &raquo;</li>
      
          <li><a href="index_cn.html">安装与编译</a> &raquo;</li>
      
    <li>使用pip安装</li>
      <li class="wy-breadcrumbs-aside">
        
          
            <a href="../_sources/build_and_install/pip_install_cn.rst.txt" rel="nofollow"> View page source</a>
          
        
      </li>
  </ul>
  <hr/>
</div>
          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
           <div itemprop="articleBody">
            
  <div class="section" id="pip">
<h1>使用pip安装<a class="headerlink" href="#pip" title="永久链接至标题">¶</a></h1>
<p>PaddlePaddle可以使用常用的Python包管理工具
<a class="reference external" href="https://pip.pypa.io/en/stable/installing/">pip</a>
完成安装，并可以在大多数主流的Linux操作系统以及MacOS上执行。</p>
<div class="section" id="pip-install">
<span id="id2"></span><h2>使用pip安装<a class="headerlink" href="#pip-install" title="永久链接至标题">¶</a></h2>
<p>执行下面的命令即可在当前机器上安装PaddlePaddle的运行时环境，并自动下载安装依赖软件，版本为cpu_avx_openblas。</p>
<blockquote>
<div><div class="highlight-bash"><div class="highlight"><pre><span></span>pip install paddlepaddle
</pre></div>
</div>
</div></blockquote>
<p>如果需要安装支持GPU的版本（cuda7.5_cudnn5_avx_openblas），需要执行：</p>
<blockquote>
<div><div class="highlight-bash"><div class="highlight"><pre><span></span>pip install paddlepaddle-gpu
</pre></div>
</div>
</div></blockquote>
<p>如果需要获取并安装最新的（开发分支）PaddlePaddle，可以从我们的CI系统中下载最新的whl安装包和c-api开发包并安装，
您可以从下面的表格中找到需要的版本：</p>
<p>如果在点击下面链接时出现如下登陆界面，点击“Log in as guest”即可开始下载：</p>
<a class="reference internal image-reference" href="../_images/paddleci.png"><img alt="../_images/paddleci.png" class="align-center" src="../_images/paddleci.png" style="width: 398.0px; height: 224.5px;" /></a>
<table border="1" class="colwidths-given docutils" id="id17">
<caption><span class="caption-text">各个版本最新的whl包</span><a class="headerlink" href="#id17" title="永久链接至表格">¶</a></caption>
<colgroup>
<col width="10%" />
<col width="30%" />
<col width="30%" />
<col width="30%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">版本说明</th>
<th class="head">cp27-cp27mu</th>
<th class="head">cp27-cp27m</th>
<th class="head">C-API</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>cpu_avx_mkl</td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl">paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl">paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/paddle.tgz">paddle.tgz</a></td>
</tr>
<tr class="row-odd"><td>cpu_avx_openblas</td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl">paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl">paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td>暂无</td>
</tr>
<tr class="row-even"><td>cpu_noavx_openblas</td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl">paddlepaddle-0.11.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl">paddlepaddle-0.11.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td>暂无</td>
</tr>
<tr class="row-odd"><td>cuda7.5_cudnn5_avx_mkl</td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl">paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl">paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz">paddle.tgz</a></td>
</tr>
<tr class="row-even"><td>cuda8.0_cudnn5_avx_mkl</td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl">paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl">paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/paddle.tgz">paddle.tgz</a></td>
</tr>
<tr class="row-odd"><td>cuda8.0_cudnn7_avx_mkl</td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl">paddlepaddle_gpu-0.11.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl">paddlepaddle_gpu-0.11.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a class="reference external" href="https://guest:&#64;paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/paddle.tgz">paddle.tgz</a></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="pip-dependency">
<span id="id14"></span><h2>运行环境依赖<a class="headerlink" href="#pip-dependency" title="永久链接至标题">¶</a></h2>
<p>PaddlePaddle安装包由于不仅仅包含.py程序，而且包含了C++编写的部分，所以我们确保发布的二进制包可以支持主流的Linux操作系统，比如CentOS 6以上，Ubuntu 14.04以上，MacOS 10.12以上。</p>
<p>PaddlePaddle发布的安装包会尽量对齐 <a class="reference external" href="https://www.python.org/dev/peps/pep-0513/#the-manylinux1-policy">manylinux1</a> 标准，通常使用CentOS 5作为编译环境。但由于CUDA库通常需要CentOS 6以上，而且CentOS 5即将停止维护，所以我们默认使用CentOS 6作为标准编译环境。</p>
<table border="1" class="colwidths-given docutils" id="id18">
<caption><span class="caption-text">PaddlePaddle环境依赖</span><a class="headerlink" href="#id18" title="永久链接至表格">¶</a></caption>
<colgroup>
<col width="18%" />
<col width="27%" />
<col width="55%" />
</colgroup>
<thead valign="bottom">
<tr class="row-odd"><th class="head">依赖</th>
<th class="head">版本</th>
<th class="head">说明</th>
</tr>
</thead>
<tbody valign="top">
<tr class="row-even"><td>操作系统</td>
<td>Linux, MacOS</td>
<td>CentOS 6以上，Ubuntu 14.04以上，MacOS 10.12以上</td>
</tr>
<tr class="row-odd"><td>Python</td>
<td>2.7.x</td>
<td>暂时不支持Python3</td>
</tr>
<tr class="row-even"><td>libc.so</td>
<td>GLIBC_2.7</td>
<td>glibc至少包含GLIBC_2.7以上的符号</td>
</tr>
<tr class="row-odd"><td>libstdc++.so</td>
<td>GLIBCXX_3.4.11, CXXABI_1.3.3</td>
<td>至少包含GLIBCXX_3.4.11, CXXABI_1.3.3以上的符号</td>
</tr>
<tr class="row-even"><td>libgcc_s.so</td>
<td>GCC_3.3</td>
<td>至少包含GCC_3.3以上的符号</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="pip-faq">
<span id="id15"></span><h2>安装常见问题和解决方法<a class="headerlink" href="#pip-faq" title="永久链接至标题">¶</a></h2>
<ul>
<li><p class="first">paddlepaddle*.whl is not a supported wheel on this platform.</p>
<p>出现这个问题的主要原因是，没有找到和当前系统匹配的paddlepaddle安装包。请检查Python版本是否为2.7系列。另外最新的pip官方源中的安装包默认是manylinux1标准，需要使用最新的pip (&gt;9.0.0) 才可以安装。可以使用下面的命令更新您的pip：</p>
<blockquote>
<div><div class="highlight-bash"><div class="highlight"><pre><span></span>pip install --upgrade pip
</pre></div>
</div>
</div></blockquote>
<p>如果仍然存在问题，可以执行：</p>
<blockquote>
<div><div class="highlight-bash"><div class="highlight"><pre><span></span>python -c <span class="s2">&quot;import pip; print(pip.pep425tags.get_supported())&quot;</span>
</pre></div>
</div>
</div></blockquote>
<p>获取当前系统支持的安装包格式，并检查和需安装的包是否匹配。pypi安装包可以在 <a class="reference external" href="https://pypi.python.org/pypi/paddlepaddle/0.10.5">这个</a> 链接中找到。</p>
<p>如果系统支持的是 linux_x86_64 而安装包是 manylinux1_x86_64 ，需要升级pip版本到最新； 如果系统支持 manylinux1_x86_64 而安装包（本地）是 linux_x86_64 ，可以重命名这个whl包为 manylinux1_x86_64 再安装。</p>
</li>
</ul>
</div>
</div>


           </div>
          </div>
          <footer>
  
    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
      
        <a href="docker_install_cn.html" class="btn btn-neutral float-right" title="使用Docker安装运行" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
      
      
        <a href="index_cn.html" class="btn btn-neutral" title="安装与编译" accesskey="p"><span class="fa fa-arrow-circle-left"></span> Previous</a>
      
    </div>
  

  <hr/>

  <div role="contentinfo">
    <p>
        &copy; Copyright 2016, PaddlePaddle developers.

    </p>
  </div>
  Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/snide/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>. 

</footer>

        </div>
      </div>

    </section>

  </div>
  

    <script type="text/javascript">
        var DOCUMENTATION_OPTIONS = {
            URL_ROOT:'../',
            VERSION:'',
            COLLAPSE_INDEX:false,
            FILE_SUFFIX:'.html',
            HAS_SOURCE:  true
        };
    </script>
      <script type="text/javascript" src="../_static/jquery.js"></script>
      <script type="text/javascript" src="../_static/underscore.js"></script>
      <script type="text/javascript" src="../_static/doctools.js"></script>
      <script type="text/javascript" src="../_static/translations.js"></script>
      <script type="text/javascript" src="https://cdn.bootcss.com/mathjax/2.7.0/MathJax.js"></script>

  
    <script type="text/javascript" src="../_static/js/theme.js"></script>
  

  <script type="text/javascript">
      jQuery(function () {
          SphinxRtdTheme.StickyNav.enable();
      });
  </script>
   

</body>
</html>