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<div class="section" id="moduledict">
<h1>ModuleDict<a class="headerlink" href="#moduledict" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="torch.nn.ModuleDict">
<em class="property">class </em><code class="sig-prename descclassname">torch.nn.</code><code class="sig-name descname">ModuleDict</code><span class="sig-paren">(</span><em class="sig-param">modules: Optional[Mapping[str</em>, <em class="sig-param">torch.nn.modules.module.Module]] = None</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict" title="Permalink to this definition">¶</a></dt>
<dd><p>Holds submodules in a dictionary.</p>
<p><a class="reference internal" href="#torch.nn.ModuleDict" title="torch.nn.ModuleDict"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModuleDict</span></code></a> can be indexed like a regular Python dictionary,
but modules it contains are properly registered, and will be visible by all
<a class="reference internal" href="torch.nn.Module.html#torch.nn.Module" title="torch.nn.Module"><code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></a> methods.</p>
<p><a class="reference internal" href="#torch.nn.ModuleDict" title="torch.nn.ModuleDict"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModuleDict</span></code></a> is an <strong>ordered</strong> dictionary that respects</p>
<ul class="simple">
<li><p>the order of insertion, and</p></li>
<li><p>in <a class="reference internal" href="#torch.nn.ModuleDict.update" title="torch.nn.ModuleDict.update"><code class="xref py py-meth docutils literal notranslate"><span class="pre">update()</span></code></a>, the order of the merged
<code class="docutils literal notranslate"><span class="pre">OrderedDict</span></code>, <code class="docutils literal notranslate"><span class="pre">dict</span></code> (started from Python 3.6) or another
<a class="reference internal" href="#torch.nn.ModuleDict" title="torch.nn.ModuleDict"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModuleDict</span></code></a> (the argument to
<a class="reference internal" href="#torch.nn.ModuleDict.update" title="torch.nn.ModuleDict.update"><code class="xref py py-meth docutils literal notranslate"><span class="pre">update()</span></code></a>).</p></li>
</ul>
<p>Note that <a class="reference internal" href="#torch.nn.ModuleDict.update" title="torch.nn.ModuleDict.update"><code class="xref py py-meth docutils literal notranslate"><span class="pre">update()</span></code></a> with other unordered mapping
types (e.g., Python’s plain <code class="docutils literal notranslate"><span class="pre">dict</span></code> before Python version 3.6) does not
preserve the order of the merged mapping.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>modules</strong> (<em>iterable</em><em>, </em><em>optional</em>) – a mapping (dictionary) of (string: module)
or an iterable of key-value pairs of type (string, module)</p>
</dd>
</dl>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">class</span> <span class="nc">MyModule</span><span class="p">(</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="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">MyModule</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">choices</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleDict</span><span class="p">({</span>
<span class="s1">'conv'</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span>
<span class="s1">'pool'</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">MaxPool2d</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
<span class="p">})</span>
<span class="bp">self</span><span class="o">.</span><span class="n">activations</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleDict</span><span class="p">([</span>
<span class="p">[</span><span class="s1">'lrelu'</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">LeakyReLU</span><span class="p">()],</span>
<span class="p">[</span><span class="s1">'prelu'</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">PReLU</span><span class="p">()]</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="n">choice</span><span class="p">,</span> <span class="n">act</span><span class="p">):</span>
<span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">choices</span><span class="p">[</span><span class="n">choice</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="bp">self</span><span class="o">.</span><span class="n">activations</span><span class="p">[</span><span class="n">act</span><span class="p">](</span><span class="n">x</span><span class="p">)</span>
<span class="k">return</span> <span class="n">x</span>
</pre></div>
</div>
<dl class="method">
<dt id="torch.nn.ModuleDict.clear">
<code class="sig-name descname">clear</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict.clear"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict.clear" title="Permalink to this definition">¶</a></dt>
<dd><p>Remove all items from the ModuleDict.</p>
</dd></dl>
<dl class="method">
<dt id="torch.nn.ModuleDict.items">
<code class="sig-name descname">items</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → Iterable[Tuple[str, torch.nn.modules.module.Module]]<a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict.items"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict.items" title="Permalink to this definition">¶</a></dt>
<dd><p>Return an iterable of the ModuleDict key/value pairs.</p>
</dd></dl>
<dl class="method">
<dt id="torch.nn.ModuleDict.keys">
<code class="sig-name descname">keys</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → Iterable[str]<a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict.keys"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict.keys" title="Permalink to this definition">¶</a></dt>
<dd><p>Return an iterable of the ModuleDict keys.</p>
</dd></dl>
<dl class="method">
<dt id="torch.nn.ModuleDict.pop">
<code class="sig-name descname">pop</code><span class="sig-paren">(</span><em class="sig-param">key: str</em><span class="sig-paren">)</span> → torch.nn.modules.module.Module<a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict.pop"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict.pop" title="Permalink to this definition">¶</a></dt>
<dd><p>Remove key from the ModuleDict and return its module.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>key</strong> (<em>string</em>) – key to pop from the ModuleDict</p>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.ModuleDict.update">
<code class="sig-name descname">update</code><span class="sig-paren">(</span><em class="sig-param">modules: Mapping[str, torch.nn.modules.module.Module]</em><span class="sig-paren">)</span> → None<a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict.update"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict.update" title="Permalink to this definition">¶</a></dt>
<dd><p>Update the <a class="reference internal" href="#torch.nn.ModuleDict" title="torch.nn.ModuleDict"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModuleDict</span></code></a> with the key-value pairs from a
mapping or an iterable, overwriting existing keys.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>If <code class="xref py py-attr docutils literal notranslate"><span class="pre">modules</span></code> is an <code class="docutils literal notranslate"><span class="pre">OrderedDict</span></code>, a <a class="reference internal" href="#torch.nn.ModuleDict" title="torch.nn.ModuleDict"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModuleDict</span></code></a>, or
an iterable of key-value pairs, the order of new elements in it is preserved.</p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>modules</strong> (<em>iterable</em>) – a mapping (dictionary) from string to <a class="reference internal" href="torch.nn.Module.html#torch.nn.Module" title="torch.nn.Module"><code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></a>,
or an iterable of key-value pairs of type (string, <a class="reference internal" href="torch.nn.Module.html#torch.nn.Module" title="torch.nn.Module"><code class="xref py py-class docutils literal notranslate"><span class="pre">Module</span></code></a>)</p>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.ModuleDict.values">
<code class="sig-name descname">values</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → Iterable[torch.nn.modules.module.Module]<a class="reference internal" href="../_modules/torch/nn/modules/container.html#ModuleDict.values"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.ModuleDict.values" title="Permalink to this definition">¶</a></dt>
<dd><p>Return an iterable of the ModuleDict values.</p>
</dd></dl>
</dd></dl>
</div>
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