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  <div class="section" id="id1">
<h1><a class="toc-backref" href="#id2">编译安装与单元测试</a><a class="headerlink" href="#id1" title="永久链接至标题"></a></h1>
<div class="contents topic" id="contents">
<p class="topic-title first">Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#id1" id="id2">编译安装与单元测试</a><ul>
<li><a class="reference internal" href="#docker-gpu-cuda-driver-version-is-insufficient" id="id3">1. 运行Docker GPU镜像出现 &#8220;CUDA driver version is insufficient&#8221;</a></li>
<li><a class="reference internal" href="#cmake-pythonlibspythoninterp" id="id4">2. CMake源码编译, 找到的PythonLibs和PythonInterp版本不一致</a></li>
<li><a class="reference internal" href="#cmake-paddle0-0-0" id="id5">3. CMake源码编译,Paddle版本号为0.0.0</a></li>
<li><a class="reference internal" href="#paddlepaddle-whl-is-not-a-supported-wheel-on-this-platform" id="id6">4. paddlepaddle*.whl is not a supported wheel on this platform.</a></li>
<li><a class="reference internal" href="#import-paddle-v2-as-paddle-importerror-no-module-named-v2" id="id7">5. 编译安装后执行 import paddle.v2 as paddle 报ImportError: No module named v2</a></li>
<li><a class="reference internal" href="#illegal-instruction" id="id8">6. 遇到“非法指令”或者是“illegal instruction”</a></li>
<li><a class="reference internal" href="#python" id="id9">7.  python相关的单元测试都过不了</a></li>
253
<li><a class="reference internal" href="#mklml" id="id10">8. 下载MKLML库失败</a></li>
254 255 256 257 258 259 260 261 262 263
</ul>
</li>
</ul>
</div>
<div class="section" id="docker-gpu-cuda-driver-version-is-insufficient">
<h2><a class="toc-backref" href="#id3">1. 运行Docker GPU镜像出现 &#8220;CUDA driver version is insufficient&#8221;</a><a class="headerlink" href="#docker-gpu-cuda-driver-version-is-insufficient" title="永久链接至标题"></a></h2>
<p>用户在使用PaddlePaddle GPU的Docker镜像的时候,常常出现 <cite>Cuda Error: CUDA driver version is insufficient for CUDA runtime version</cite>, 原因在于没有把机器上CUDA相关的驱动和库映射到容器内部。
具体的解决方法是:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>$ <span class="nb">export</span> <span class="nv">CUDA_SO</span><span class="o">=</span><span class="s2">&quot;</span><span class="k">$(</span><span class="se">\l</span>s usr/lib64/libcuda* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;-v {}:{}&#39;</span><span class="k">)</span><span class="s2"> </span><span class="k">$(</span><span class="se">\l</span>s /usr/lib64/libnvidia* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;-v {}:{}&#39;</span><span class="k">)</span><span class="s2">&quot;</span>
$ <span class="nb">export</span> <span class="nv">DEVICES</span><span class="o">=</span><span class="k">$(</span><span class="se">\l</span>s /dev/nvidia* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;--device {}:{}&#39;</span><span class="k">)</span>
264
$ docker run <span class="si">${</span><span class="nv">CUDA_SO</span><span class="si">}</span> <span class="si">${</span><span class="nv">DEVICES</span><span class="si">}</span> -it paddlepaddle/paddle:latest-gpu
265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342
</pre></div>
</div>
<p>更多关于Docker的安装与使用, 请参考 <a class="reference external" href="http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html">PaddlePaddle Docker 文档</a></p>
</div>
<div class="section" id="cmake-pythonlibspythoninterp">
<h2><a class="toc-backref" href="#id4">2. CMake源码编译, 找到的PythonLibs和PythonInterp版本不一致</a><a class="headerlink" href="#cmake-pythonlibspythoninterp" title="永久链接至标题"></a></h2>
<p>这是目前CMake寻找Python的逻辑存在缺陷,如果系统安装了多个Python版本,CMake找到的Python库和Python解释器版本可能有不一致现象,导致编译PaddlePaddle失败。正确的解决方法是,
用户强制指定特定的Python版本,具体操作如下:</p>
<blockquote>
<div><div class="highlight-bash"><div class="highlight"><pre><span></span>cmake .. -DPYTHON_EXECUTABLE<span class="o">=</span>&lt;exc_path&gt; -DPYTHON_LIBRARY<span class="o">=</span>&lt;lib_path&gt;  -DPYTHON_INCLUDE_DIR<span class="o">=</span>&lt;inc_path&gt;
</pre></div>
</div>
</div></blockquote>
<p>用户需要指定本机上Python的路径:<code class="docutils literal"><span class="pre">&lt;exc_path&gt;</span></code>, <code class="docutils literal"><span class="pre">&lt;lib_path&gt;</span></code>, <code class="docutils literal"><span class="pre">&lt;inc_path&gt;</span></code></p>
</div>
<div class="section" id="cmake-paddle0-0-0">
<h2><a class="toc-backref" href="#id5">3. CMake源码编译,Paddle版本号为0.0.0</a><a class="headerlink" href="#cmake-paddle0-0-0" title="永久链接至标题"></a></h2>
<p>如果运行 <code class="code docutils literal"><span class="pre">paddle</span> <span class="pre">version</span></code>, 出现 <code class="code docutils literal"><span class="pre">PaddlePaddle</span> <span class="pre">0.0.0</span></code>;或者运行 <code class="code docutils literal"><span class="pre">cmake</span> <span class="pre">..</span></code>,出现</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>CMake Warning at cmake/version.cmake:20 <span class="o">(</span>message<span class="o">)</span>:
  Cannot add paddle version from git tag
</pre></div>
</div>
<p>那么用户需要拉取所有的远程分支到本机,命令为 <code class="code docutils literal"><span class="pre">git</span> <span class="pre">fetch</span> <span class="pre">upstream</span></code>,然后重新cmake即可。</p>
</div>
<div class="section" id="paddlepaddle-whl-is-not-a-supported-wheel-on-this-platform">
<h2><a class="toc-backref" href="#id6">4. paddlepaddle*.whl is not a supported wheel on this platform.</a><a class="headerlink" href="#paddlepaddle-whl-is-not-a-supported-wheel-on-this-platform" title="永久链接至标题"></a></h2>
<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。最新的paddlepaddle python安装包支持Linux x86_64和MacOS 10.12操作系统,并安装了python 2.7和pip 9.0.1。</p>
<p>更新 <code class="code docutils literal"><span class="pre">pip</span></code> 包的方法是:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install --upgrade pip
</pre></div>
</div>
<p>如果还不行,可以执行 <code class="code docutils literal"><span class="pre">python</span> <span class="pre">-c</span> <span class="pre">&quot;import</span> <span class="pre">pip;</span> <span class="pre">print(pip.pep425tags.get_supported())&quot;</span></code> 获取当前系统支持的python包的后缀,
并对比是否和正在安装的后缀一致。</p>
<p>如果系统支持的是 <code class="code docutils literal"><span class="pre">linux_x86_64</span></code> 而安装包是 <code class="code docutils literal"><span class="pre">manylinux1_x86_64</span></code> ,需要升级pip版本到最新;
如果系统支持 <code class="code docutils literal"><span class="pre">manylinux1_x86_64</span></code> 而安装包(本地)是 <code class="code docutils literal"><span class="pre">linux_x86_64</span></code> ,可以重命名这个whl包为 <code class="code docutils literal"><span class="pre">manylinux1_x86_64</span></code> 再安装。</p>
</div>
<div class="section" id="import-paddle-v2-as-paddle-importerror-no-module-named-v2">
<h2><a class="toc-backref" href="#id7">5. 编译安装后执行 import paddle.v2 as paddle 报ImportError: No module named v2</a><a class="headerlink" href="#import-paddle-v2-as-paddle-importerror-no-module-named-v2" title="永久链接至标题"></a></h2>
<p>先查看一下是否曾经安装过paddle v1版本,有的话需要先卸载:</p>
<p>pip uninstall py_paddle paddle</p>
<p>然后安装paddle的python环境, 在build目录下执行</p>
<p>pip install python/dist/paddle*.whl &amp;&amp; pip install ../paddle/dist/py_paddle*.whl</p>
</div>
<div class="section" id="illegal-instruction">
<h2><a class="toc-backref" href="#id8">6. 遇到“非法指令”或者是“illegal instruction”</a><a class="headerlink" href="#illegal-instruction" title="永久链接至标题"></a></h2>
<p>PaddlePaddle使用avx SIMD指令提高cpu执行效率,因此错误的使用二进制发行版可能会导致这种错误,请选择正确的版本。</p>
</div>
<div class="section" id="python">
<h2><a class="toc-backref" href="#id9">7.  python相关的单元测试都过不了</a><a class="headerlink" href="#python" title="永久链接至标题"></a></h2>
<p>如果出现以下python相关的单元测试都过不了的情况:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="m">24</span> - test_PyDataProvider <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">26</span> - test_RecurrentGradientMachine <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">27</span> - test_NetworkCompare <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">28</span> - test_PyDataProvider2 <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">32</span> - test_Prediction <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">33</span> - test_Compare <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">34</span> - test_Trainer <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">35</span> - test_TrainerOnePass <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">36</span> - test_CompareTwoNets <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">37</span> - test_CompareTwoOpts <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">38</span> - test_CompareSparse <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">39</span> - test_recurrent_machine_generation <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">40</span> - test_PyDataProviderWrapper <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">41</span> - test_config_parser <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">42</span> - test_swig_api <span class="o">(</span>Failed<span class="o">)</span>
<span class="m">43</span> - layers_test <span class="o">(</span>Failed<span class="o">)</span>
</pre></div>
</div>
<p>并且查询PaddlePaddle单元测试的日志,提示:</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>paddle package is already in your PYTHONPATH. But unittest need a clean environment.
Please uninstall paddle package before start unittest. Try to <span class="s1">&#39;pip uninstall paddle&#39;</span>.
</pre></div>
</div>
<p>解决办法是:</p>
<ul class="simple">
<li>卸载PaddlePaddle包 <code class="code docutils literal"><span class="pre">pip</span> <span class="pre">uninstall</span> <span class="pre">paddle</span></code>, 清理掉老旧的PaddlePaddle安装包,使得单元测试有一个干净的环境。如果PaddlePaddle包已经在python的site-packages里面,单元测试会引用site-packages里面的python包,而不是源码目录里 <code class="code docutils literal"><span class="pre">/python</span></code> 目录下的python包。同时,即便设置 <code class="code docutils literal"><span class="pre">PYTHONPATH</span></code><code class="code docutils literal"><span class="pre">/python</span></code> 也没用,因为python的搜索路径是优先已经安装的python包。</li>
</ul>
</div>
343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366
<div class="section" id="mklml">
<h2><a class="toc-backref" href="#id10">8. 下载MKLML库失败</a><a class="headerlink" href="#mklml" title="永久链接至标题"></a></h2>
<div class="highlight-bash"><div class="highlight"><pre><span></span>make<span class="o">[</span><span class="m">2</span><span class="o">]</span>: *** <span class="o">[</span>third_party/mklml/src/extern_mklml-stamp/extern_mklml-download<span class="o">]</span> 错误 <span class="m">4</span>
make<span class="o">[</span><span class="m">1</span><span class="o">]</span>: *** <span class="o">[</span>CMakeFiles/extern_mklml.dir/all<span class="o">]</span> 错误 <span class="m">2</span>
make<span class="o">[</span><span class="m">1</span><span class="o">]</span>: *** 正在等待未完成的任务....
</pre></div>
</div>
<p>原因:网速或SSL链接原因,导致MKLML库下载不成功。</p>
<p>解决办法是:手动下载并安装,具体步骤如下。</p>
<div class="highlight-bash"><div class="highlight"><pre><span></span>// <span class="m">1</span>. 进入对应的目录
<span class="nb">cd</span> build/third_party/mklml/src/extern_mklml

// <span class="m">2</span>. 查看包的大小, 正常情况下是75M,如果小于75M,即下载失败:
du -sh mklml_lnx_2018.0.1.20171007.tgz

// <span class="m">3</span>. 手动下载且解压缩,并手动生成download成功标签:
wget --no-check-certificate https://github.com/01org/mkl-dnn/releases/download/v0.11/mklml_lnx_2018.0.1.20171007.tgz -c -O mklml_lnx_2018.0.1.20171007.tgz
tar zxf mklml_lnx_2018.0.1.20171007.tgz
touch ../extern_mklml-stamp/extern_mklml-download

// <span class="m">4</span>. 接着编译即可
</pre></div>
</div>
</div>
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