pytorch-cn · boostf · Aug 14, 2018 · Jul 26, 2018 · Jul 26, 2018 · Jul 26, 2018
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   <div class="section" id="module-torch.nn">
 <span id="torch-nn"></span><h1>torch.nn<a class="headerlink" href="#module-torch.nn" title="Permalink to this headline">¶</a></h1>
 <div class="section" id="parameters">
@@ -6716,7 +6716,7 @@ <h3><span class="hidden-section">avg_pool1d</span><a class="headerlink" href="#a
 <h3><span class="hidden-section">avg_pool2d</span><a class="headerlink" href="#avg-pool2d" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt id="torch.nn.functional.avg_pool2d">
-<code class="descclassname">torch.nn.functional.</code><code class="descname">avg_pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>kernel_size</em>, <em>stride=None</em>, <em>padding=0</em>, <em>ceil_mode=False</em>, <em>count_include_pad=True</em><span class="sig-paren">)</span> &#x2192; Variable<a class="headerlink" href="#torch.nn.functional.avg_pool2d" title="Permalink to this definition">¶</a></dt>
+<code class="descclassname">torch.nn.functional.</code><code class="descname">avg_pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>kernel_size</em>, <em>stride=None</em>, <em>padding=0</em>, <em>ceil_mode=False</em>, <em>count_include_pad=False</em><span class="sig-paren">)</span> &#x2192; Variable<a class="headerlink" href="#torch.nn.functional.avg_pool2d" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies 2D average-pooling operation in kh x kw regions by step size
 dh x dw steps. The number of output features is equal to the number of
 input planes.</p>
@@ -6736,20 +6736,24 @@ <h3><span class="hidden-section">avg_pool2d</span><a class="headerlink" href="#a
 <li><strong>ceil_mode</strong> &#8211; when True, will use <cite>ceil</cite> instead of <cite>floor</cite> in the formula
 to compute the output shape. Default: <code class="docutils literal"><span class="pre">False</span></code></li>
 <li><strong>count_include_pad</strong> &#8211; when True, will include the zero-padding in th
-averaging calculation. Default: <code class="docutils literal"><span class="pre">True</span></code></li>
+averaging calculation. Default: <code class="docutils literal"><span class="pre">False</span></code></li>
 </ul>
 </td>
 </tr>
 </tbody>
 </table>
+<div class="admonition warning">
+<p class="first admonition-title">Warning</p>
+<p class="last">Default value for <code class="xref py py-attr docutils literal"><span class="pre">count_include_pad</span></code> was <code class="docutils literal"><span class="pre">True</span></code> in versions before 0.3, and will be changed back to <code class="docutils literal"><span class="pre">True</span></code> from 0.4.1 and forward.</p>
+</div>
 </dd></dl>
 
 </div>
 <div class="section" id="avg-pool3d">
 <h3><span class="hidden-section">avg_pool3d</span><a class="headerlink" href="#avg-pool3d" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt id="torch.nn.functional.avg_pool3d">
-<code class="descclassname">torch.nn.functional.</code><code class="descname">avg_pool3d</code><span class="sig-paren">(</span><em>input</em>, <em>kernel_size</em>, <em>stride=None</em>, <em>padding=0</em>, <em>ceil_mode=False</em>, <em>count_include_pad=True</em><span class="sig-paren">)</span> &#x2192; Variable<a class="headerlink" href="#torch.nn.functional.avg_pool3d" title="Permalink to this definition">¶</a></dt>
+<code class="descclassname">torch.nn.functional.</code><code class="descname">avg_pool3d</code><span class="sig-paren">(</span><em>input</em>, <em>kernel_size</em>, <em>stride=None</em>, <em>padding=0</em>, <em>ceil_mode=False</em>, <em>count_include_pad=False</em><span class="sig-paren">)</span> &#x2192; Variable<a class="headerlink" href="#torch.nn.functional.avg_pool3d" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies 3D average-pooling operation in kt x kh x kw regions by step
 size dt x dh x dw steps. The number of output features is equal to the
 number of input planes / dt.</p>
@@ -6769,12 +6773,16 @@ <h3><span class="hidden-section">avg_pool3d</span><a class="headerlink" href="#a
 <li><strong>ceil_mode</strong> &#8211; when True, will use <cite>ceil</cite> instead of <cite>floor</cite> in the formula
 to compute the output shape</li>
 <li><strong>count_include_pad</strong> &#8211; when True, will include the zero-padding in th
-averaging calculation</li>
+averaging calculation. Default: <code class="docutils literal"><span class="pre">False</span></code></li>
 </ul>
 </td>
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+<div class="admonition warning">
+<p class="first admonition-title">Warning</p>
+<p class="last">Default value for <code class="xref py py-attr docutils literal"><span class="pre">count_include_pad</span></code> was <code class="docutils literal"><span class="pre">True</span></code> in versions before 0.3, and will be changed back to <code class="docutils literal"><span class="pre">True</span></code> from 0.4.1 and forward.</p>
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