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<div class="section" id="adaptiveavgpool1d">
<h1>AdaptiveAvgPool1d<a class="headerlink" href="#adaptiveavgpool1d" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="torch.nn.AdaptiveAvgPool1d">
<em class="property">class </em><code class="sig-prename descclassname">torch.nn.</code><code class="sig-name descname">AdaptiveAvgPool1d</code><span class="sig-paren">(</span><em class="sig-param">output_size: Union[T, Tuple[T, ...]]</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/nn/modules/pooling.html#AdaptiveAvgPool1d"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.AdaptiveAvgPool1d" title="Permalink to this definition">¶</a></dt>
<dd><p>Applies a 1D adaptive average pooling over an input signal composed of several input planes.</p>
<p>The output size is H, for any input size.
The number of output features is equal to the number of input planes.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>output_size</strong> – the target output size H</p>
</dd>
</dl>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="c1"># target output size of 5</span>
<span class="gp">>>> </span><span class="n">m</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">AdaptiveAvgPool1d</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="gp">>>> </span><span class="nb">input</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">64</span><span class="p">,</span> <span class="mi">8</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">output</span> <span class="o">=</span> <span class="n">m</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
</pre></div>
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