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<div class="section" id="python-data-structure">
<h1>python.data-structure<a class="headerlink" href="#python-data-structure" title="Permalink to this heading">¶</a></h1>
<div class="section" id="dictionary">
<h2>dictionary<a class="headerlink" href="#dictionary" 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.data-structure</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">Dictionary</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">"""</span>
<span class="sd"> Dictionary structures are inlined and flattened along tracing.</span>
<span class="sd"> """</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="n">y</span><span class="p">):</span>
<span class="n">elements</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">elements</span><span class="p">[</span><span class="s2">"x2"</span><span class="p">]</span> <span class="o">=</span> <span class="n">x</span> <span class="o">*</span> <span class="n">x</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">y</span> <span class="o">*</span> <span class="n">elements</span><span class="p">[</span><span class="s2">"x2"</span><span class="p">]</span>
<span class="k">return</span> <span class="p">{</span><span class="s2">"y"</span><span class="p">:</span> <span class="n">y</span><span class="p">}</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">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="mi">4</span><span class="p">))</span>
<span class="n">tags</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"python.data-structure"</span><span class="p">}</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">Dictionary</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">"f32[3, 2]"</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="s2">"i64[]"</span><span class="p">):</span>
<span class="n">mul</span><span class="p">:</span> <span class="s2">"f32[3, 2]"</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">mul</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="n">mul_1</span><span class="p">:</span> <span class="s2">"f32[3, 2]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">mul</span><span class="p">);</span> <span class="n">y</span> <span class="o">=</span> <span class="n">mul</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">return</span> <span class="p">(</span><span class="n">mul_1</span><span class="p">,)</span>
<span class="n">Graph</span> <span class="n">signature</span><span class="p">:</span> <span class="n">ExportGraphSignature</span><span class="p">(</span><span class="n">input_specs</span><span class="o">=</span><span class="p">[</span><span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'x'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'y'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">)],</span> <span class="n">output_specs</span><span class="o">=</span><span class="p">[</span><span class="n">OutputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">OutputKind</span><span class="o">.</span><span class="n">USER_OUTPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'mul_1'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">)])</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="fn-with-kwargs">
<h2>fn_with_kwargs<a class="headerlink" href="#fn-with-kwargs" 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.data-structure</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">FnWithKwargs</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">"""</span>
<span class="sd"> Keyword arguments are not supported at the moment.</span>
<span class="sd"> """</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">pos0</span><span class="p">,</span> <span class="n">tuple0</span><span class="p">,</span> <span class="o">*</span><span class="n">myargs</span><span class="p">,</span> <span class="n">mykw0</span><span class="p">,</span> <span class="o">**</span><span class="n">mykwargs</span><span class="p">):</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">pos0</span>
<span class="k">for</span> <span class="n">arg</span> <span class="ow">in</span> <span class="n">tuple0</span><span class="p">:</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">out</span> <span class="o">*</span> <span class="n">arg</span>
<span class="k">for</span> <span class="n">arg</span> <span class="ow">in</span> <span class="n">myargs</span><span class="p">:</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">out</span> <span class="o">*</span> <span class="n">arg</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">out</span> <span class="o">*</span> <span class="n">mykw0</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">out</span> <span class="o">*</span> <span class="n">mykwargs</span><span class="p">[</span><span class="s2">"input0"</span><span class="p">]</span> <span class="o">*</span> <span class="n">mykwargs</span><span class="p">[</span><span class="s2">"input1"</span><span class="p">]</span>
<span class="k">return</span> <span class="n">out</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">4</span><span class="p">),</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">4</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">4</span><span class="p">)),</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">4</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">4</span><span class="p">)]</span>
<span class="p">)</span>
<span class="n">example_kwargs</span> <span class="o">=</span> <span class="p">{</span>
<span class="s2">"mykw0"</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">4</span><span class="p">),</span>
<span class="s2">"input0"</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">4</span><span class="p">),</span>
<span class="s2">"input1"</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">4</span><span class="p">),</span>
<span class="p">}</span>
<span class="n">tags</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"python.data-structure"</span><span class="p">}</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">FnWithKwargs</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> <span class="n">example_kwargs</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">pos0</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">tuple0_0</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">tuple0_1</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">myargs_0</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">myargs_1</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">mykw0</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">input0</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">,</span> <span class="n">input1</span><span class="p">:</span> <span class="s2">"f32[4]"</span><span class="p">):</span>
<span class="n">mul</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">pos0</span><span class="p">,</span> <span class="n">tuple0_0</span><span class="p">);</span> <span class="n">pos0</span> <span class="o">=</span> <span class="n">tuple0_0</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mul_1</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">mul</span><span class="p">,</span> <span class="n">tuple0_1</span><span class="p">);</span> <span class="n">mul</span> <span class="o">=</span> <span class="n">tuple0_1</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mul_2</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">mul_1</span><span class="p">,</span> <span class="n">myargs_0</span><span class="p">);</span> <span class="n">mul_1</span> <span class="o">=</span> <span class="n">myargs_0</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mul_3</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">mul_2</span><span class="p">,</span> <span class="n">myargs_1</span><span class="p">);</span> <span class="n">mul_2</span> <span class="o">=</span> <span class="n">myargs_1</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mul_4</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">mul_3</span><span class="p">,</span> <span class="n">mykw0</span><span class="p">);</span> <span class="n">mul_3</span> <span class="o">=</span> <span class="n">mykw0</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mul_5</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">mul_4</span><span class="p">,</span> <span class="n">input0</span><span class="p">);</span> <span class="n">mul_4</span> <span class="o">=</span> <span class="n">input0</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">mul_6</span><span class="p">:</span> <span class="s2">"f32[4]"</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">mul</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">mul_5</span><span class="p">,</span> <span class="n">input1</span><span class="p">);</span> <span class="n">mul_5</span> <span class="o">=</span> <span class="n">input1</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">return</span> <span class="p">(</span><span class="n">mul_6</span><span class="p">,)</span>
<span class="n">Graph</span> <span class="n">signature</span><span class="p">:</span> <span class="n">ExportGraphSignature</span><span class="p">(</span><span class="n">input_specs</span><span class="o">=</span><span class="p">[</span><span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'pos0'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'tuple0_0'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'tuple0_1'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'myargs_0'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'myargs_1'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'mykw0'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'input0'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'input1'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">)],</span> <span class="n">output_specs</span><span class="o">=</span><span class="p">[</span><span class="n">OutputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">OutputKind</span><span class="o">.</span><span class="n">USER_OUTPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'mul_6'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">)])</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="#"><span class="doc">python.data-structure</span></a>, <a class="reference internal" href="torch.dynamic-shape.html"><span class="doc">torch.dynamic-shape</span></a>, <a class="reference internal" href="python.assert.html"><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">"""</span>
<span class="sd"> List containment relation can be checked on a dynamic shape or constants.</span>
<span class="sd"> """</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">"monkey"</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"cow"</span><span class="p">,</span> <span class="s2">"pig"</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">"torch.dynamic-shape"</span><span class="p">,</span> <span class="s2">"python.data-structure"</span><span class="p">,</span> <span class="s2">"python.assert"</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">"f32[3, 2]"</span><span class="p">):</span>
<span class="n">add</span><span class="p">:</span> <span class="s2">"f32[3, 2]"</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="n">ExportGraphSignature</span><span class="p">(</span><span class="n">input_specs</span><span class="o">=</span><span class="p">[</span><span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'x'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">)],</span> <span class="n">output_specs</span><span class="o">=</span><span class="p">[</span><span class="n">OutputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">OutputKind</span><span class="o">.</span><span class="n">USER_OUTPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'add'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">)])</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-unpack">
<h2>list_unpack<a class="headerlink" href="#list-unpack" title="Permalink to this heading">¶</a></h2>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Tags: <a class="reference internal" href="python.control-flow.html"><span class="doc">python.control-flow</span></a>, <a class="reference internal" href="#"><span class="doc">python.data-structure</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">ListUnpack</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">"""</span>
<span class="sd"> Lists are treated as static construct, therefore unpacking should be</span>
<span class="sd"> erased after tracing.</span>
<span class="sd"> """</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">args</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]):</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> Lists are treated as static construct, therefore unpacking should be</span>
<span class="sd"> erased after tracing.</span>
<span class="sd"> """</span>
<span class="n">x</span><span class="p">,</span> <span class="o">*</span><span class="n">y</span> <span class="o">=</span> <span class="n">args</span>
<span class="k">return</span> <span class="n">x</span> <span class="o">+</span> <span class="n">y</span><span class="p">[</span><span class="mi">0</span><span class="p">]</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">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="mi">4</span><span class="p">),</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="mi">5</span><span class="p">)],)</span>
<span class="n">tags</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"python.control-flow"</span><span class="p">,</span> <span class="s2">"python.data-structure"</span><span class="p">}</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">ListUnpack</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">args_0</span><span class="p">:</span> <span class="s2">"f32[3, 2]"</span><span class="p">,</span> <span class="n">args_1</span><span class="p">:</span> <span class="s2">"i64[]"</span><span class="p">,</span> <span class="n">args_2</span><span class="p">:</span> <span class="s2">"i64[]"</span><span class="p">):</span>
<span class="n">add</span><span class="p">:</span> <span class="s2">"f32[3, 2]"</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">args_0</span><span class="p">,</span> <span class="n">args_1</span><span class="p">);</span> <span class="n">args_0</span> <span class="o">=</span> <span class="n">args_1</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="n">ExportGraphSignature</span><span class="p">(</span><span class="n">input_specs</span><span class="o">=</span><span class="p">[</span><span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'args_0'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'args_1'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">InputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">InputKind</span><span class="o">.</span><span class="n">USER_INPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'args_2'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">persistent</span><span class="o">=</span><span class="kc">None</span><span class="p">)],</span> <span class="n">output_specs</span><span class="o">=</span><span class="p">[</span><span class="n">OutputSpec</span><span class="p">(</span><span class="n">kind</span><span class="o">=<</span><span class="n">OutputKind</span><span class="o">.</span><span class="n">USER_OUTPUT</span><span class="p">:</span> <span class="mi">1</span><span class="o">></span><span class="p">,</span> <span class="n">arg</span><span class="o">=</span><span class="n">TensorArgument</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'add'</span><span class="p">),</span> <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">)])</span>
<span class="n">Range</span> <span class="n">constraints</span><span class="p">:</span> <span class="p">{}</span>
</pre></div>
</div>
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