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</ul>
</details></li>
<li class="toctree-l2"><a class="reference internal" href="../../quantization-backend-configuration.html">Quantization Backend Configuration</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../rpc.html">Distributed RPC Framework</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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  <div class="section" id="python-assert">
<h1>python.assert<a class="headerlink" href="#python-assert" title="Permalink to this heading">#</a></h1>
<div class="section" id="dynamic-shape-assert">
<h2>dynamic_shape_assert<a class="headerlink" href="#dynamic-shape-assert" title="Permalink to this heading">#</a></h2>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Tags: <a class="reference internal" href="#"><span class="doc">python.assert</span></a></p>
<p>Support Level: SUPPORTED</p>
</div>
<p>Original source code:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># mypy: allow-untyped-defs</span>
<span class="kn">import</span> <span class="nn">torch</span>

<span class="k">class</span> <span class="nc">DynamicShapeAssert</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    A basic usage of python assertion.</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="c1"># assertion with error message</span>
        <span class="k">assert</span> <span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">2</span><span class="p">,</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2"> is greater than 2&quot;</span>
        <span class="c1"># assertion without error message</span>
        <span class="k">assert</span> <span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">1</span>
        <span class="k">return</span> <span class="n">x</span>

<span class="n">example_args</span> <span class="o">=</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">),)</span>
<span class="n">tags</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;python.assert&quot;</span><span class="p">}</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">DynamicShapeAssert</span><span class="p">()</span>


<span class="n">torch</span><span class="o">.</span><span class="n">export</span><span class="o">.</span><span class="n">export</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">example_args</span><span class="p">)</span>
</pre></div>
</div>
<p>Result:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ExportedProgram</span><span class="p">:</span>
    <span class="k">class</span> <span class="nc">GraphModule</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
        <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="s2">&quot;f32[3, 2]&quot;</span><span class="p">):</span>
            <span class="k">return</span> <span class="p">(</span><span class="n">x</span><span class="p">,)</span>

<span class="n">Graph</span> <span class="n">signature</span><span class="p">:</span>
    <span class="c1"># inputs</span>
    <span class="n">x</span><span class="p">:</span> <span class="n">USER_INPUT</span>

    <span class="c1"># outputs</span>
    <span class="n">x</span><span class="p">:</span> <span class="n">USER_OUTPUT</span>

<span class="n">Range</span> <span class="n">constraints</span><span class="p">:</span> <span class="p">{}</span>
</pre></div>
</div>
</div>
<div class="section" id="list-contains">
<h2>list_contains<a class="headerlink" href="#list-contains" title="Permalink to this heading">#</a></h2>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Tags: <a class="reference internal" href="torch.dynamic-shape.html"><span class="doc">torch.dynamic-shape</span></a>, <a class="reference internal" href="python.data-structure.html"><span class="doc">python.data-structure</span></a>, <a class="reference internal" href="#"><span class="doc">python.assert</span></a></p>
<p>Support Level: SUPPORTED</p>
</div>
<p>Original source code:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># mypy: allow-untyped-defs</span>
<span class="kn">import</span> <span class="nn">torch</span>

<span class="k">class</span> <span class="nc">ListContains</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    List containment relation can be checked on a dynamic shape or constants.</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="k">assert</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span>
        <span class="k">assert</span> <span class="n">x</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">]</span>
        <span class="k">assert</span> <span class="s2">&quot;monkey&quot;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">&quot;cow&quot;</span><span class="p">,</span> <span class="s2">&quot;pig&quot;</span><span class="p">]</span>
        <span class="k">return</span> <span class="n">x</span> <span class="o">+</span> <span class="n">x</span>

<span class="n">example_args</span> <span class="o">=</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">),)</span>
<span class="n">tags</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;torch.dynamic-shape&quot;</span><span class="p">,</span> <span class="s2">&quot;python.data-structure&quot;</span><span class="p">,</span> <span class="s2">&quot;python.assert&quot;</span><span class="p">}</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">ListContains</span><span class="p">()</span>


<span class="n">torch</span><span class="o">.</span><span class="n">export</span><span class="o">.</span><span class="n">export</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">example_args</span><span class="p">)</span>
</pre></div>
</div>
<p>Result:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">ExportedProgram</span><span class="p">:</span>
    <span class="k">class</span> <span class="nc">GraphModule</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
        <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="s2">&quot;f32[3, 2]&quot;</span><span class="p">):</span>
                 <span class="n">add</span><span class="p">:</span> <span class="s2">&quot;f32[3, 2]&quot;</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">add</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">);</span>  <span class="n">x</span> <span class="o">=</span> <span class="kc">None</span>
            <span class="k">return</span> <span class="p">(</span><span class="n">add</span><span class="p">,)</span>

<span class="n">Graph</span> <span class="n">signature</span><span class="p">:</span>
    <span class="c1"># inputs</span>
    <span class="n">x</span><span class="p">:</span> <span class="n">USER_INPUT</span>

    <span class="c1"># outputs</span>
    <span class="n">add</span><span class="p">:</span> <span class="n">USER_OUTPUT</span>

<span class="n">Range</span> <span class="n">constraints</span><span class="p">:</span> <span class="p">{}</span>
</pre></div>
</div>
</div>
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