Deploy to GitHub Pages: 087d8e7f

develop/api_doc/fluid/layers.html

@@ -1719,7 +1719,7 @@ in the input parameters to the function.</p>
 <h3>conv2d<a class="headerlink" href="#conv2d" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.fluid.layers.</code><code class="descname">conv2d</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>stride=None</em>, <em>padding=None</em>, <em>groups=None</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>use_cudnn=True</em>, <em>act=None</em><span class="sig-paren">)</span></dt>
+<code class="descclassname">paddle.fluid.layers.</code><code class="descname">conv2d</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>stride=1</em>, <em>padding=0</em>, <em>groups=None</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>use_cudnn=True</em>, <em>act=None</em><span class="sig-paren">)</span></dt>
 <dd><p><strong>Convlution2D Layer</strong></p>
 <p>The convolution2D layer calculates the output based on the input, filter
 and strides, paddings, dilations, groups parameters. Input(Input) and
@@ -1876,7 +1876,7 @@ It supports average, sum, sqrt and max.</li>
 <h3>pool2d<a class="headerlink" href="#pool2d" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.fluid.layers.</code><code class="descname">pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>pool_size</em>, <em>pool_type</em>, <em>pool_stride=None</em>, <em>pool_padding=None</em>, <em>global_pooling=False</em>, <em>use_cudnn=True</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
+<code class="descclassname">paddle.fluid.layers.</code><code class="descname">pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>pool_size=-1</em>, <em>pool_type='max'</em>, <em>pool_stride=1</em>, <em>pool_padding=0</em>, <em>global_pooling=False</em>, <em>use_cudnn=True</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
 <dd><p>This function adds the operator for pooling in 2 dimensions, using the
 pooling configurations mentioned in input parameters.</p>
 </dd></dl>
@@ -1959,7 +1959,7 @@ bias <span class="math">\(b\)</span>.</li>
 <h3>conv2d_transpose<a class="headerlink" href="#conv2d-transpose" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.fluid.layers.</code><code class="descname">conv2d_transpose</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>output_size=None</em>, <em>filter_size=None</em>, <em>padding=None</em>, <em>stride=None</em>, <em>dilation=None</em>, <em>param_attr=None</em>, <em>use_cudnn=True</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
+<code class="descclassname">paddle.fluid.layers.</code><code class="descname">conv2d_transpose</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>output_size=None</em>, <em>filter_size=None</em>, <em>padding=0</em>, <em>stride=1</em>, <em>dilation=1</em>, <em>param_attr=None</em>, <em>use_cudnn=True</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
 <dd><p><strong>Convlution2D transpose layer</strong></p>
 <p>The convolution2D transpose layer calculates the output based on the input,
 filter, and dilations, strides, paddings. Input(Input) and output(Output)