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    <title>使用deb包在Ubuntu上安装PaddlePaddle &#8212; PaddlePaddle  documentation</title>
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  <div class="section" id="debubuntupaddlepaddle">
<h1>使用deb包在Ubuntu上安装PaddlePaddle<a class="headerlink" href="#debubuntupaddlepaddle" title="Permalink to this headline"></a></h1>
<p>PaddlePaddle目前支持ubuntu 14.04版本使用deb包安装。更多的安装包PaddlePaddle会在近期提供。
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欢迎大家贡献各个发行版的安装包(例如，ubuntu，centos，debian，gentoo)。</p>
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<p>PaddlePaddle的ubuntu安装包分为两个版本，即CPU版本，和GPU版本，他们的下载地址是:
<a class="reference external" href="https://github.com/baidu/Paddle/releases/tag/V0.8.0b0">https://github.com/baidu/Paddle/releases/tag/V0.8.0b0</a></p>
<p>需要注意的是，目前PaddlePaddle的安装包只支持
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<a class="reference external" href="https://en.wikipedia.org/wiki/Advanced_Vector_Extensions">AVX</a>
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指令集的X86 CPU。如果系统使用不支持 <a class="reference external" href="https://en.wikipedia.org/wiki/Advanced_Vector_Extensions">AVX</a> 指令集的CPU运行PaddlePaddle，那么需要从源码
编译PaddlePaddle，请参考 <a class="reference external" href="../cmake/index.html">编译文档</a> 。</p>
<p>用户需要先将PaddlePaddle安装包下载到本地，然后执行如下命令即可完成安装。</p>
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<div class="highlight-shell"><div class="highlight"><pre><span></span>dpkg -i paddle-*-cpu.deb
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apt-get install -f
</pre></div>
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<p>在 <code class="code docutils literal"><span class="pre">dpkg</span> <span class="pre">-i</span></code> 的时候如果报一些依赖未找到的错误是正常的，
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在 <code class="code docutils literal"><span class="pre">apt-get</span> <span class="pre">install</span> <span class="pre">-f</span></code> 里会继续安装 PaddlePaddle。</p>
<p>或者使用下面一条命令安装.</p>
<div class="highlight-shell"><div class="highlight"><pre><span></span>gdebi paddle-*-cpu.deb
</pre></div>
</div>
<p>如果 <code class="code docutils literal"><span class="pre">gdebi</span></code> 没有安装,则需要使用 <code class="code docutils literal"><span class="pre">sudo</span> <span class="pre">apt-get</span> <span class="pre">install</span> <span class="pre">gdebi</span></code>, 来安装 <code class="code docutils literal"><span class="pre">gdebi</span></code></p>
<p>需要注意的是，如果使用GPU版本的PaddlePaddle，请安装CUDA 7.5 和CUDNN 5到本地环境中，
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并设置好对应的环境变量(LD_LIBRARY_PATH等等)。</p>
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<p>安装完成后,可以使用命令 <code class="code docutils literal"><span class="pre">paddle</span> <span class="pre">version</span></code> 查看安装后的paddle 版本。可能的输出为</p>
<div class="highlight-text"><div class="highlight"><pre><span></span>PaddlePaddle 0.8.0b1, compiled with
with_avx: ON
with_gpu: OFF
with_double: OFF
with_python: ON
with_rdma: OFF
with_glog: ON
with_gflags: ON
with_metric_learning:
with_timer: OFF
with_predict_sdk:
</pre></div>
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<div class="section" id="id2">
<h2>可能遇到的问题<a class="headerlink" href="#id2" title="Permalink to this headline"></a></h2>
<div class="section" id="libcudart-so-libcudnn-so">
<h3>libcudart.so/libcudnn.so找不到<a class="headerlink" href="#libcudart-so-libcudnn-so" title="Permalink to this headline"></a></h3>
<p>安装完成PaddlePaddle后，运行 <code class="code docutils literal"><span class="pre">paddle</span> <span class="pre">train</span></code> 报错:</p>
<div class="highlight-shell"><div class="highlight"><pre><span></span>0831 12:36:04.151525  1085 hl_dso_loader.cc:70] Check failed: nullptr != *dso_handle For Gpu version of PaddlePaddle, it couldn&#39;t find CUDA library: libcudart.so Please make sure you already specify its path.Note: for training data on Cpu using Gpu version of PaddlePaddle,you must specify libcudart.so via LD_LIBRARY_PATH.
</pre></div>
</div>
<p>PaddlePaddle使用运行时动态连接CUDA的so，如果在 LD_LIBRARY_PATH里面找不到这些动态
库的话，会报寻找不到这些动态库。</p>
<p>解决方法很简单，就是将这些动态库加到环境变量里面。比较可能的命令如下。</p>
<div class="highlight-text"><div class="highlight"><pre><span></span>export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
</pre></div>
</div>
</div>
<div class="section" id="cuda-driver">
<h3>CUDA Driver找不到<a class="headerlink" href="#cuda-driver" title="Permalink to this headline"></a></h3>
<p>运行 <code class="code docutils literal"><span class="pre">paddle</span> <span class="pre">train</span></code> 报错:</p>
<div class="highlight-text"><div class="highlight"><pre><span></span>F0831 12:39:16.699000  1090 hl_cuda_device.cc:530] Check failed: cudaSuccess == cudaStat (0 vs. 35) Cuda Error: CUDA driver version is insufficient for CUDA runtime version
</pre></div>
</div>
<p>PaddlePaddle运行时如果没有寻找到cuda的driver，变会报这个错误。解决办法是将cuda
driver添加到LD_LIBRARY_PATH中。比较可能的命令如下。</p>
<div class="highlight-text"><div class="highlight"><pre><span></span>export LD_LIBRARY_PATH=/usr/lib64:$LD_LIBRARY_PATH
</pre></div>
</div>
</div>
<div class="section" id="config">
<h3>config文件找不到<a class="headerlink" href="#config" title="Permalink to this headline"></a></h3>
<p>运行 <code class="code docutils literal"><span class="pre">paddle</span> <span class="pre">train</span></code> 得到结果:</p>
<div class="highlight-text"><div class="highlight"><pre><span></span>F0831 20:53:07.525789  1302 TrainerMain.cpp:94] Check failed: config != nullptr no valid config
</pre></div>
</div>
<p>PaddlePaddle在运行时找不到对应的config文件，说明命令行参数 <code class="code docutils literal"><span class="pre">config</span></code> 没有设置。
而这个一般说明PaddlePaddle已经安装完毕了。</p>
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  <h3><a href="../../index.html">Table Of Contents</a></h3>
  <ul>
<li><a class="reference internal" href="#">使用deb包在Ubuntu上安装PaddlePaddle</a><ul>
<li><a class="reference internal" href="#id2">可能遇到的问题</a><ul>
<li><a class="reference internal" href="#libcudart-so-libcudnn-so">libcudart.so/libcudnn.so找不到</a></li>
<li><a class="reference internal" href="#cuda-driver">CUDA Driver找不到</a></li>
<li><a class="reference internal" href="#config">config文件找不到</a></li>
</ul>
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</ul>
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