Deploy to GitHub Pages: 4e7e39b4

develop/doc/api/v2/fluid/layers.html

@@ -1939,7 +1939,7 @@ pooling configurations mentioned in input parameters.</p>
 <h3>batch_norm<a class="headerlink" href="#batch-norm" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
+<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em>, <em>name=None</em>, <em>moving_mean_name=None</em>, <em>moving_variance_name=None</em><span class="sig-paren">)</span></dt>
 <dd><p>This function helps create an operator to implement
 the BatchNorm layer using the configurations from the input parameters.</p>
 </dd></dl>

develop/doc_cn/api/v2/fluid/layers.html

@@ -1958,7 +1958,7 @@ pooling configurations mentioned in input parameters.</p>
 <h3>batch_norm<a class="headerlink" href="#batch-norm" title="永久链接至标题">¶</a></h3>
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
+<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em>, <em>name=None</em>, <em>moving_mean_name=None</em>, <em>moving_variance_name=None</em><span class="sig-paren">)</span></dt>
 <dd><p>This function helps create an operator to implement
 the BatchNorm layer using the configurations from the input parameters.</p>
 </dd></dl>