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<div class="section" id="faq">
<h1>FAQ<a class="headerlink" href="#faq" title="Permalink to this headline">¶</a></h1>
<p>Listed below are a number of common issues users face with the various parts of
the C++ API.</p>
<div class="section" id="c-extensions">
<h2>C++ Extensions<a class="headerlink" href="#c-extensions" title="Permalink to this headline">¶</a></h2>
<div class="section" id="undefined-symbol-errors-from-pytorch-aten">
<h3>Undefined symbol errors from PyTorch/ATen<a class="headerlink" href="#undefined-symbol-errors-from-pytorch-aten" title="Permalink to this headline">¶</a></h3>
<p><strong>Problem</strong>: You import your extension and get an <code class="docutils literal notranslate"><span class="pre">ImportError</span></code> stating that
some C++ symbol from PyTorch or ATen is undefined. For example:</p>
<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="o">>>></span> <span class="n">import</span> <span class="n">extension</span>
<span class="n">Traceback</span> <span class="p">(</span><span class="n">most</span> <span class="n">recent</span> <span class="n">call</span> <span class="n">last</span><span class="p">)</span><span class="o">:</span>
<span class="n">File</span> <span class="s">"<stdin>"</span><span class="p">,</span> <span class="n">line</span> <span class="mi">1</span><span class="p">,</span> <span class="n">in</span> <span class="o"><</span><span class="n">module</span><span class="o">></span>
<span class="nl">ImportError</span><span class="p">:</span> <span class="o">/</span><span class="n">home</span><span class="o">/</span><span class="n">user</span><span class="o">/</span><span class="p">.</span><span class="n">pyenv</span><span class="o">/</span><span class="n">versions</span><span class="o">/</span><span class="mf">3.7.1</span><span class="o">/</span><span class="n">lib</span><span class="o">/</span><span class="n">python3</span><span class="mf">.7</span><span class="o">/</span><span class="n">site</span><span class="o">-</span><span class="n">packages</span><span class="o">/</span><span class="n">extension</span><span class="p">.</span><span class="n">cpython</span><span class="o">-</span><span class="mi">37</span><span class="n">m</span><span class="o">-</span><span class="n">x86_64</span><span class="o">-</span><span class="n">linux</span><span class="o">-</span><span class="n">gnu</span><span class="p">.</span><span class="nl">so</span><span class="p">:</span> <span class="n">undefined</span> <span class="nl">symbol</span><span class="p">:</span> <span class="n">_ZN2at19UndefinedTensorImpl10_singletonE</span>
</pre></div>
</div>
<p><strong>Fix</strong>: The fix is to <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">torch</span></code> before you import your extension. This will make
the symbols from the PyTorch dynamic (shared) library that your extension
depends on available, allowing them to be resolved once you import your extension.</p>
</div>
<div class="section" id="i-created-a-tensor-using-a-function-from-at-and-get-errors">
<h3>I created a tensor using a function from <code class="docutils literal notranslate"><span class="pre">at::</span></code> and get errors<a class="headerlink" href="#i-created-a-tensor-using-a-function-from-at-and-get-errors" title="Permalink to this headline">¶</a></h3>
<p><strong>Problem</strong>: You created a tensor using e.g. <code class="docutils literal notranslate"><span class="pre">at::ones</span></code> or <code class="docutils literal notranslate"><span class="pre">at::randn</span></code> or
any other tensor factory from the <code class="docutils literal notranslate"><span class="pre">at::</span></code> namespace and are getting errors.</p>
<p><strong>Fix</strong>: Replace <code class="docutils literal notranslate"><span class="pre">at::</span></code> with <code class="docutils literal notranslate"><span class="pre">torch::</span></code> for factory function calls. You
should never use factory functions from the <code class="docutils literal notranslate"><span class="pre">at::</span></code> namespace, as they will
create tensors. The corresponding <code class="docutils literal notranslate"><span class="pre">torch::</span></code> functions will create variables,
and you should only ever deal with variables in your code.</p>
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