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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>
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<p>PaddlePaddle目前支持使用deb包安装。Paddle的 <code class="code docutils literal"><span class="pre">deb</span></code> 安装包在ubuntu 14.04中正确，但理论上支持其他的 debian 发行版。</p>
<p>PaddlePaddle的ubuntu安装包分为四个版本，他们是 cpu、gpu、cpu-noavx、gpu-noavx 四个版本。其中 noavx 用于不支持AVX指令集的cpu。安装包的下载地址是: <a class="reference external" href="https://github.com/baidu/Paddle/releases/">https://github.com/baidu/Paddle/releases/</a></p>
<p>用户需要先将PaddlePaddle安装包下载到本地，然后执行如下 <code class="code docutils literal"><span class="pre">gdebi</span></code> 命令即可完成安装。</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>或者使用下面一条命令安装.</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>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>
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<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">PaddlePaddle</span> <span class="mf">0.8</span><span class="o">.</span><span class="mb">0b1</span><span class="p">,</span> <span class="n">compiled</span> <span class="k">with</span>
    <span class="n">with_avx</span><span class="p">:</span> <span class="n">ON</span>
    <span class="n">with_gpu</span><span class="p">:</span> <span class="n">OFF</span>
    <span class="n">with_double</span><span class="p">:</span> <span class="n">OFF</span>
    <span class="n">with_python</span><span class="p">:</span> <span class="n">ON</span>
    <span class="n">with_rdma</span><span class="p">:</span> <span class="n">OFF</span>
    <span class="n">with_glog</span><span class="p">:</span> <span class="n">ON</span>
    <span class="n">with_gflags</span><span class="p">:</span> <span class="n">ON</span>
    <span class="n">with_metric_learning</span><span class="p">:</span>
    <span class="n">with_timer</span><span class="p">:</span> <span class="n">OFF</span>
    <span class="n">with_predict_sdk</span><span class="p">:</span>
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</pre></div>
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<div class="section" id="id1">
<h2>可能遇到的问题<a class="headerlink" href="#id1" title="Permalink to this headline"></a></h2>
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<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>
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<li><a class="reference internal" href="#id1">可能遇到的问题</a><ul>
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<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>
</li>
</ul>
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