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a291b4d6 · Travis CI · 4fd5a9b5 · a291b4d6 · a291b4d6 · a291b4d6
4 changed file
--- a/develop/doc/api/v2/config/layer.html
+++ b/develop/doc/api/v2/config/layer.html
@@ -224,15 +224,15 @@
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; The input layer. Could be a list/tuple of input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The layer dimension.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is tanh.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Tanh is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute|list.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -266,18 +266,18 @@ specified, selective_fc acts exactly like fc.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>select</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The select layer. The output of select layer should be a
 sparse binary matrix, and treat as the mask of selective fc.
 If is None, acts exactly like fc.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The layer dimension.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is tanh.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -363,7 +363,7 @@ conv and only support GPU mode.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>filter_size</strong> (<em>int</em>) &#8211; The x dimension of a filter kernel.</li>
 <li><strong>filter_size_y</strong> (<em>int</em>) &#8211; The y dimension of a filter kernel. Since
 PaddlePaddle now supports rectangular filters,
@@ -376,7 +376,7 @@ the filter&#8217;s shape can be (filter_size, filter_size_y).</li>
 <li><strong>padding_y</strong> (<em>int</em>) &#8211; The y dimension of padding.</li>
 <li><strong>groups</strong> (<em>int</em>) &#8211; The group number.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Convolution param attribute. None means default attribute</li>
-<li><strong>trans</strong> (<em>boolean</em>) &#8211; whether it is convTrans or conv</li>
+<li><strong>trans</strong> (<em>bool</em>) &#8211; whether it is convTrans or conv</li>
 </ul>
 </td>
 </tr>
@@ -481,25 +481,25 @@ rest channels will be processed by rest group of filters.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Layer Input.</li>
-<li><strong>filter_size</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of a filter kernel. Or input a tuple for
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>filter_size</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of a filter kernel. Or input a tuple for
 two image dimension.</li>
-<li><strong>filter_size_y</strong> (<em>int|None</em>) &#8211; The y dimension of a filter kernel. Since PaddlePaddle
+<li><strong>filter_size_y</strong> (<em>int | None</em>) &#8211; The y dimension of a filter kernel. Since PaddlePaddle
 currently supports rectangular filters, the filter&#8217;s
 shape will be (filter_size, filter_size_y).</li>
 <li><strong>num_filters</strong> &#8211; Each filter group&#8217;s number of filter</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. Default is tanh</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Relu is the default.</li>
 <li><strong>groups</strong> (<em>int</em>) &#8211; Group size of filters.</li>
-<li><strong>stride</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of the stride. Or input a tuple for two image
+<li><strong>stride</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of the stride. Or input a tuple for two image
 dimension.</li>
 <li><strong>stride_y</strong> (<em>int</em>) &#8211; The y dimension of the stride.</li>
-<li><strong>padding</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of the padding. Or input a tuple for two
+<li><strong>padding</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of the padding. Or input a tuple for two
 image dimension</li>
 <li><strong>padding_y</strong> (<em>int</em>) &#8211; The y dimension of the padding.</li>
-<li><strong>dilation</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of the dilation. Or input a tuple for two
+<li><strong>dilation</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of the dilation. Or input a tuple for two
 image dimension</li>
 <li><strong>dilation_y</strong> (<em>int</em>) &#8211; The y dimension of the dilation.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -546,11 +546,11 @@ be [ 0AB ABC BCD CDE DEF EFG FG0 ].</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Sequence.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which should be a sequence.</li>
 <li><strong>context_len</strong> (<em>int</em>) &#8211; context length.</li>
 <li><strong>context_start</strong> (<em>int</em>) &#8211; context start position. Default is
 -(context_len - 1)/2</li>
-<li><strong>padding_attr</strong> (<em>bool|paddle.v2.attr.ParameterAttribute</em>) &#8211; Padding Parameter Attribute. If false, it means padding
+<li><strong>padding_attr</strong> (<em>bool | paddle.v2.attr.ParameterAttribute</em>) &#8211; Padding Parameter Attribute. If false, it means padding
 always be zero. Otherwise Padding is learnable, and
 parameter attribute is set by this parameter.</li>
 </ul>
@@ -602,13 +602,13 @@ number plus one equals context_len.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>context_len</strong> (<em>int</em>) &#8211; The context length equals the lookahead step number
 plus one.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is linear activation.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Linear is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute. If None, the parameter will be
 initialized smartly. It&#8217;s better to set it by yourself.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -663,16 +663,16 @@ h = 1 + int(floor(input\_height + 2 * padding\_y - pool\_size\_y) / float(stride
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>padding</strong> (<em>int</em>) &#8211; pooling padding width.</li>
-<li><strong>padding_y</strong> (<em>int|None</em>) &#8211; pooling padding height. It&#8217;s equal to padding by default.</li>
+<li><strong>padding_y</strong> (<em>int | None</em>) &#8211; pooling padding height. It&#8217;s equal to padding by default.</li>
 <li><strong>name</strong> (<em>basestring.</em>) &#8211; name of pooling layer</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>pool_size</strong> (<em>int</em>) &#8211; pooling window width</li>
-<li><strong>pool_size_y</strong> (<em>int|None</em>) &#8211; pooling window height. It&#8217;s eaqual to pool_size by default.</li>
+<li><strong>pool_size_y</strong> (<em>int | None</em>) &#8211; pooling window height. It&#8217;s eaqual to pool_size by default.</li>
 <li><strong>num_channels</strong> (<em>int</em>) &#8211; number of input channel.</li>
 <li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; pooling type. MaxPooling or AvgPooling. Default is
 MaxPooling.</li>
 <li><strong>stride</strong> (<em>int</em>) &#8211; stride width of pooling.</li>
-<li><strong>stride_y</strong> (<em>int|None</em>) &#8211; stride height of pooling. It is equal to stride by default.</li>
+<li><strong>stride_y</strong> (<em>int | None</em>) &#8211; stride height of pooling. It is equal to stride by default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer attribute.</li>
 <li><strong>ceil_mode</strong> (<em>bool</em>) &#8211; Wether to use ceil mode to calculate output height and with.
 Defalut is True. If set false, Otherwise use floor.</li>
@@ -711,7 +711,7 @@ The details please refer to
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>num_channels</strong> (<em>int</em>) &#8211; number of input channel.</li>
 <li><strong>pool_type</strong> &#8211; Pooling type. MaxPooling or AveragePooling. Default is MaxPooling.</li>
 <li><strong>pyramid_height</strong> (<em>int</em>) &#8211; pyramid height.</li>
@@ -771,11 +771,11 @@ s = input.size / num_channels
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
-<li><strong>num_channels</strong> (<em>int|None</em>) &#8211; The channel number of input layer. If None will be set
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>num_channels</strong> (<em>int | None</em>) &#8211; The channel number of input layer. If None will be set
 automatically from previous output.</li>
 <li><strong>groups</strong> (<em>int</em>) &#8211; The group number of input layer.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer attribute.</li>
 </ul>
 </td>
@@ -811,8 +811,8 @@ The details please refer to
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; Normalize in number of <span class="math">\(size\)</span> feature maps.</li>
 <li><strong>scale</strong> (<em>float</em>) &#8211; The hyper-parameter.</li>
 <li><strong>power</strong> (<em>float</em>) &#8211; The hyper-parameter.</li>
@@ -862,7 +862,7 @@ y_i &amp;\gets \gamma \hat{x_i} + \beta \qquad &amp;//\ scale\ and\ shift\end{sp
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; batch normalization input. Better be linear activation.
 Because there is an activation inside batch_normalization.</li>
-<li><strong>batch_norm_type</strong> (<em>None|string</em><em>, </em><em>None</em><em> or </em><em>&quot;batch_norm&quot;</em><em> or </em><em>&quot;cudnn_batch_norm&quot;</em>) &#8211; We have batch_norm and cudnn_batch_norm. batch_norm
+<li><strong>batch_norm_type</strong> (<em>None | string</em><em>, </em><em>None</em><em> or </em><em>&quot;batch_norm&quot;</em><em> or </em><em>&quot;cudnn_batch_norm&quot;</em>) &#8211; We have batch_norm and cudnn_batch_norm. batch_norm
 supports both CPU and GPU. cudnn_batch_norm requires
 cuDNN version greater or equal to v4 (&gt;=v4). But
 cudnn_batch_norm is faster and needs less memory
@@ -876,12 +876,12 @@ normalization will normalize input near zero.</li>
 <li><strong>num_channels</strong> (<em>int</em>) &#8211; num of image channels or previous layer&#8217;s number of
 filters. None will automatically get from layer&#8217;s
 input.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; <span class="math">\(\beta\)</span>, better be zero when initialize. So the
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; <span class="math">\(\beta\)</span>, better be zero when initialize. So the
 initial_std=0, initial_mean=1 is best practice.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; <span class="math">\(\gamma\)</span>, better be one when initialize. So the
 initial_std=0, initial_mean=1 is best practice.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
-<li><strong>use_global_stats</strong> (<em>bool|None.</em>) &#8211; whether use moving mean/variance statistics
+<li><strong>use_global_stats</strong> (<em>bool | None.</em>) &#8211; whether use moving mean/variance statistics
 during testing peroid. If None or True,
 it will use moving mean/variance statistics during
 testing. If False, it will use the mean
@@ -926,7 +926,7 @@ and <span class="math">\(out\)</span> is a (batchSize x dataDim) output vector.<
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -958,7 +958,7 @@ factors which dimensions equal to the channel&#8217;s number.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute|list.</li>
 </ul>
 </td>
@@ -993,7 +993,7 @@ and the size of <span class="math">\(out\)</span> is a (batchSize x dataDim) .</
 <col class="field-name" />
 <col class="field-body" />
 <tbody valign="top">
-<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">Input layer.</td>
+<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">The input of this layer.</td>
 </tr>
 <tr class="field-even field"><th class="field-name">type input:</th><td class="field-body">paddle.v2.config_base.Layer</td>
 </tr>
@@ -1040,9 +1040,9 @@ out_{i} = act(in_{i} + out_{i+1} * W) \ \ \text{for} \ start &lt;= i &lt; end\en
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1090,17 +1090,17 @@ more details about LSTM.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The lstmemory layer name.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; DEPRECATED. size of the lstm cell</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>reverse</strong> (<em>bool</em>) &#8211; is sequence process reversed or not.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation type, paddle.v2.activation.Tanh by default. <span class="math">\(h_t\)</span></li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default. <span class="math">\(h_t\)</span></li>
 <li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; gate activation type, paddle.v2.activation.Sigmoid by default.</li>
 <li><strong>state_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; state activation type, paddle.v2.activation.Tanh by default.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|False</em>) &#8211; Parameter Attribute.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer attribute</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | False</em>) &#8211; Parameter Attribute.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer attribute</li>
 </ul>
 </td>
 </tr>
@@ -1156,21 +1156,21 @@ Recurrent Neural Networks on Sequence Modeling.</a></p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The gru layer name.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; input layer.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The gru layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; DEPRECATED. size of the gru cell</li>
 <li><strong>reverse</strong> (<em>bool</em>) &#8211; Whether sequence process is reversed or not.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation type, paddle.v2.activation.Tanh by default. This activation
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type, paddle.v2.activation.Tanh is the default. This activation
 affects the <span class="math">\({\tilde{h_t}}\)</span>.</li>
 <li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; gate activation type, paddle.v2.activation.Sigmoid by default.
 This activation affects the <span class="math">\(z_t\)</span> and <span class="math">\(r_t\)</span>. It is the
 <span class="math">\(\sigma\)</span> in the above formula.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|False</em>) &#8211; Parameter Attribute.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer attribute</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | False</em>) &#8211; Parameter Attribute.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer attribute</li>
 </ul>
 </td>
 </tr>
@@ -1228,8 +1228,8 @@ name of the layer which this memory remembers.</li>
 <li><strong>memory_name</strong> (<em>basestring</em>) &#8211; the name of the memory.
 It is ignored when name is provided.</li>
 <li><strong>is_seq</strong> (<em>bool</em>) &#8211; DEPRECATED. is sequence for boot</li>
-<li><strong>boot</strong> (<em>paddle.v2.config_base.Layer|None</em>) &#8211; boot layer of memory.</li>
-<li><strong>boot_bias</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; boot layer&#8217;s bias</li>
+<li><strong>boot</strong> (<em>paddle.v2.config_base.Layer | None</em>) &#8211; boot layer of memory.</li>
+<li><strong>boot_bias</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; boot layer&#8217;s bias</li>
 <li><strong>boot_bias_active_type</strong> (<em>paddle.v2.activation.Base</em>) &#8211; boot layer&#8217;s active type.</li>
 <li><strong>boot_with_const_id</strong> (<em>int</em>) &#8211; boot layer&#8217;s id.</li>
 </ul>
@@ -1287,7 +1287,7 @@ a time step result. Then gather each time step of output into
 layer group&#8217;s output.</p>
 </li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; recurrent_group&#8217;s name.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|StaticInput|SubsequenceInput|list|tuple</em>) &#8211; <p>Input links array.</p>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | StaticInput | SubsequenceInput | list | tuple</em>) &#8211; <p>Input links array.</p>
 <p>paddle.v2.config_base.Layer will be scattered into time steps.
 SubsequenceInput will be scattered into sequence steps.
 StaticInput will be imported to each time step, and doesn&#8217;t change
@@ -1295,7 +1295,7 @@ through time. It&#8217;s a mechanism to access layer outside step function.</p>
 </li>
 <li><strong>reverse</strong> (<em>bool</em>) &#8211; If reverse is set true, the recurrent unit will process the
 input sequence in a reverse order.</li>
-<li><strong>targetInlink</strong> (<em>paddle.v2.config_base.Layer|SubsequenceInput</em>) &#8211; <p>DEPRECATED.
+<li><strong>targetInlink</strong> (<em>paddle.v2.config_base.Layer | SubsequenceInput</em>) &#8211; <p>DEPRECATED.
 The input layer which share info with layer group&#8217;s output</p>
 <p>Param input specifies multiple input layers. For
 SubsequenceInput inputs, config should assign one input
@@ -1346,12 +1346,10 @@ output is <span class="math">\(o_t\)</span>, whose name is &#8216;state&#8217; a
 <code class="code docutils literal"><span class="pre">state.size</span></code>.</li>
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer. <span class="math">\(Wx_t + Wh_{t-1}\)</span></li>
 <li><strong>state</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; State Layer. <span class="math">\(c_{t-1}\)</span></li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. Default is tanh</li>
-<li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Gate Activation Type. Default is sigmoid, and should
-be sigmoid only.</li>
-<li><strong>state_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; State Activation Type. Default is sigmoid, and should
-be sigmoid only.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default.</li>
+<li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Gate Activation Type. paddle.v2.activation.Sigmoid is the default.</li>
+<li><strong>state_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; State Activation Type. paddle.v2.activation.Tanh is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1383,10 +1381,10 @@ True, the bias is initialized to zero.</li>
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; </li>
 <li><strong>output_mem</strong> &#8211; </li>
 <li><strong>size</strong> &#8211; </li>
-<li><strong>act</strong> &#8211; </li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; </li>
 <li><strong>name</strong> &#8211; The name of this layer. It is optional.</li>
-<li><strong>gate_act</strong> &#8211; </li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type of this layer&#8217;s two gates. Default is Sigmoid.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1556,10 +1554,10 @@ Each inputs is a projection or operator.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; mixed layer name. Can be referenced by other layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; layer size.</li>
-<li><strong>input</strong> &#8211; inputs layer. It is an optional parameter. If set,
+<li><strong>input</strong> &#8211; The input of this layer. It is an optional parameter. If set,
 then this function will just return layer&#8217;s name.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Linear is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1590,11 +1588,11 @@ True, the bias is initialized to zero.</li>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer for this embedding. NOTE: must be Index Data.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which must be Index Data.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The embedding dimension.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; The embedding parameter attribute. See paddle.v2.attr.ParameterAttribute
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; The embedding parameter attribute. See paddle.v2.attr.ParameterAttribute
 for details.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra layer Config. Default is None.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra layer Config. Default is None.</li>
 </ul>
 </td>
 </tr>
@@ -1627,7 +1625,7 @@ the output.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
 </td>
@@ -1662,7 +1660,7 @@ It performs element-wise multiplication with weight.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
 </td>
@@ -1743,7 +1741,7 @@ scale is a config scalar, its default value is one.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The parameter size. Means the width of parameter.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
@@ -1790,7 +1788,7 @@ It select dimesions [offset, offset+layer_size) from input:</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>offset</strong> (<em>int</em>) &#8211; Offset, None if use default.</li>
 </ul>
 </td>
@@ -1825,7 +1823,7 @@ and then select some of them to merge into a new output.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>slices</strong> (<em>pair of int</em>) &#8211; An array of slice parameters.
 Each slice contains the start and end offsets based
 on the input.</li>
@@ -1875,7 +1873,7 @@ and <span class="math">\(i\)</span> is row_id.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer, which must contains id fields.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which must contains id fields.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The parameter size. Means the width of parameter.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
@@ -1916,7 +1914,7 @@ The simply usage is:</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The parameter size. Means the width of parameter.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
@@ -1986,15 +1984,15 @@ of stride is -1.</p>
 <li><strong>agg_level</strong> (<em>AggregateLevel</em>) &#8211; AggregateLevel.TO_NO_SEQUENCE or
 AggregateLevel.TO_SEQUENCE</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer name.</li>
-<li><strong>pooling_type</strong> (<em>BasePoolingType|None</em>) &#8211; Type of pooling, MaxPooling(default), AvgPooling,
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>pooling_type</strong> (<em>BasePoolingType | None</em>) &#8211; Type of pooling, MaxPooling(default), AvgPooling,
 SumPooling, SquareRootNPooling.</li>
 <li><strong>stride</strong> (<em>Int</em>) &#8211; The step size between successive pooling regions.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; The Extra Attributes for layer, such as dropout.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; The Extra Attributes for layer, such as dropout.</li>
 </ul>
 </td>
 </tr>
@@ -2030,7 +2028,7 @@ of stride is -1.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>agg_level</strong> &#8211; Aggregated level</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>stride</strong> (<em>Int</em>) &#8211; The step size between successive pooling regions.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -2068,7 +2066,7 @@ of stride is -1.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>agg_level</strong> &#8211; aggregation level</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>stride</strong> (<em>Int</em>) &#8211; The step size between successive pooling regions.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -2102,8 +2100,8 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>list|tuple|collections.Sequence</em>) &#8211; input layers or projections</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>input</strong> (<em>list | tuple | collections.Sequence</em>) &#8211; input layers or projections</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -2148,9 +2146,9 @@ processed in one batch.</p>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>a</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input sequence layer</li>
 <li><strong>b</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input sequence layer</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2199,9 +2197,9 @@ will be sliced for multiple times.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input for this layer, it should be a sequence.</li>
-<li><strong>starts</strong> (<em>paddle.v2.config_base.Layer|None</em>) &#8211; start indices to slice the input sequence.</li>
-<li><strong>ends</strong> (<em>paddle.v2.config_base.Layer|None</em>) &#8211; end indices to slice the input sequence.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which should be a sequence.</li>
+<li><strong>starts</strong> (<em>paddle.v2.config_base.Layer | None</em>) &#8211; start indices to slice the input sequence.</li>
+<li><strong>ends</strong> (<em>paddle.v2.config_base.Layer | None</em>) &#8211; end indices to slice the input sequence.</li>
 </ul>
 </td>
 </tr>
@@ -2230,7 +2228,7 @@ sequence; the second one is a set of selceted indices in the nested sequence.</p
 to the selected indices to form a new output. This layer is useful in
 beam training.</p>
 <p>The example usage is:</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">sub_nest_seq</span> <span class="o">=</span> <span class="n">sub_nested_seq</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">data</span><span class="p">,</span> <span class="n">selected_indices</span><span class="p">])</span>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">sub_nest_seq</span> <span class="o">=</span> <span class="n">sub_nested_seq</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">selected_indices</span><span class="o">=</span><span class="n">selected_ids</span><span class="p">)</span>
 </pre></div>
 </div>
 <table class="docutils field-list" frame="void" rules="none">
@@ -2238,8 +2236,8 @@ beam training.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; A nested sequence.</li>
-<li><strong>selected_indices</strong> &#8211; a set of sequence indices in the nested sequence.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer. It is a nested sequence.</li>
+<li><strong>selected_indices</strong> &#8211; A set of sequence indices in the nested sequence.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 </ul>
 </td>
@@ -2292,16 +2290,16 @@ convolution neural network, and before recurrent neural network.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
-<li><strong>num_channels</strong> (<em>int|None</em>) &#8211; The channel number of input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>num_channels</strong> (<em>int | None</em>) &#8211; The channel number of input layer.</li>
 <li><strong>block_x</strong> (<em>int</em>) &#8211; The width of sub block.</li>
 <li><strong>block_y</strong> (<em>int</em>) &#8211; The width of sub block.</li>
 <li><strong>stride_x</strong> (<em>int</em>) &#8211; The stride size in horizontal direction.</li>
 <li><strong>stride_y</strong> (<em>int</em>) &#8211; The stride size in vertical direction.</li>
 <li><strong>padding_x</strong> (<em>int</em>) &#8211; The padding size in horizontal direction.</li>
 <li><strong>padding_y</strong> (<em>int</em>) &#8211; The padding size in vertical direction.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -2352,10 +2350,10 @@ sequence is one) to sequence data.&#8221;</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>expand_as</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Expand as this layer&#8217;s sequence info.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2400,7 +2398,7 @@ True, the bias is initialized to zero.</li>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>num_repeats</strong> (<em>int</em>) &#8211; Repeat the input so many times</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>as_row_vector</strong> (<em>bool</em>) &#8211; True for treating input as row vector and repeating
@@ -2408,7 +2406,7 @@ in the column direction.  This is equivalent to apply
 concat() with num_repeats same input.
 False for treating input as column vector and repeating
 in the row direction.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
 </td>
@@ -2445,7 +2443,7 @@ usually used when the input sample is some image or feature map.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>height</strong> (<em>int</em>) &#8211; The height of the sample matrix</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2481,12 +2479,12 @@ output sequence has T*M/N instances, the dimension of each instance is N.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>reshape_size</strong> (<em>int</em>) &#8211; the size of reshaped sequence.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2539,10 +2537,10 @@ Please refer to dropout for details.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of
 paddle.v2.config_base.Layer.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type, default is tanh.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Linear is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2609,7 +2607,7 @@ processed in one batch.</p>
 <li><strong>vectors</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The vector layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; the dimension of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -2645,7 +2643,7 @@ which is used in NEURAL TURING MACHINE.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>list|tuple</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2680,9 +2678,9 @@ which is used in NEURAL TURING MACHINE.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; A input layer.</li>
-<li><strong>out_size_x</strong> (<em>int|None</em>) &#8211; bilinear interpolation output width.</li>
-<li><strong>out_size_y</strong> (<em>int|None</em>) &#8211; bilinear interpolation output height.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The layer&#8217;s name, which cna not be specified.</li>
+<li><strong>out_size_x</strong> (<em>int | None</em>) &#8211; bilinear interpolation output width.</li>
+<li><strong>out_size_y</strong> (<em>int | None</em>) &#8211; bilinear interpolation output height.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The layer&#8217;s name, which cna not be specified.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer attribute.</li>
 </ul>
 </td>
@@ -2718,7 +2716,7 @@ and <span class="math">\(y\)</span> is a output vector.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2757,7 +2755,7 @@ processed in one batch.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2799,7 +2797,7 @@ ight)</p>
 </tr>
 <tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">basestring</td>
 </tr>
-<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">The input layer.</td>
+<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">The input of this layer.</td>
 </tr>
 <tr class="field-even field"><th class="field-name">type input:</th><td class="field-body">paddle.v2.config_base.Layer.</td>
 </tr>
@@ -2834,9 +2832,9 @@ where size is the parameter of this layer indicating the output dimension.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input to this layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>size</strong> (<em>int</em>) &#8211; The resized output dimesion of this layer.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; The resized output dimension of this layer.</li>
 </ul>
 </td>
 </tr>
@@ -2869,11 +2867,11 @@ element-wise. There is no activation and weight.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>slope</strong> (<em>float.</em>) &#8211; the scale factor.</li>
 <li><strong>intercept</strong> (<em>float.</em>) &#8211; the offset.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -2921,13 +2919,13 @@ For example, each sample:</p>
 <li><strong>a</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer a.</li>
 <li><strong>b</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer b.</li>
 <li><strong>size</strong> (<em>int.</em>) &#8211; the layer dimension.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is tanh.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Linear is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3003,7 +3001,7 @@ processed in one batch.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -3041,9 +3039,9 @@ bias are trainable.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The parameter attribute of scaling.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -3080,7 +3078,7 @@ The result is stored in output.ids.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -3113,9 +3111,9 @@ Sampling one id for one sample.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3223,10 +3221,10 @@ in width dimension.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input.</li>
-<li><strong>pad_c</strong> (<em>list|None</em>) &#8211; padding size in channel dimension.</li>
-<li><strong>pad_h</strong> (<em>list|None</em>) &#8211; padding size in height dimension.</li>
-<li><strong>pad_w</strong> (<em>list|None</em>) &#8211; padding size in width dimension.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>pad_c</strong> (<em>list | None</em>) &#8211; padding size in channel dimension.</li>
+<li><strong>pad_h</strong> (<em>list | None</em>) &#8211; padding size in height dimension.</li>
+<li><strong>pad_w</strong> (<em>list | None</em>) &#8211; padding size in width dimension.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 </ul>
@@ -3264,7 +3262,7 @@ in width dimension.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The first input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float.</em>) &#8211; The cost is multiplied with coeff.
 The coefficient affects the gradient in the backward.</li>
 <li><strong>weight</strong> (<em>LayerOutout</em>) &#8211; The cost of each sample is multiplied with each weight.
@@ -3304,7 +3302,7 @@ Input should be a vector of positive numbers, without normalization.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The first input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float.</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>softmax_selfnorm_alpha</strong> (<em>float.</em>) &#8211; The scale factor affects the cost.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
@@ -3340,7 +3338,7 @@ Input should be a vector of positive numbers, without normalization.</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The first input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
@@ -3391,7 +3389,7 @@ ight <a href="#id2"><span class="problematic" id="id3">|</span></a>leq delta</p>
 </tr>
 <tr class="field-odd field"><th class="field-name">param name:</th><td class="field-body">The name of this layer. It is optional.</td>
 </tr>
-<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None|basestring.</td>
+<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None | basestring.</td>
 </tr>
 <tr class="field-odd field"><th class="field-name">param delta:</th><td class="field-body">The difference between the observed and predicted values.</td>
 </tr>
@@ -3450,7 +3448,7 @@ a true binary class label :math:<a href="#id6"><span class="problematic" id="id7
 </tr>
 <tr class="field-odd field"><th class="field-name">param name:</th><td class="field-body">The name of this layer. It is optional.</td>
 </tr>
-<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None|basestring.</td>
+<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None | basestring.</td>
 </tr>
 <tr class="field-odd field"><th class="field-name">param coeff:</th><td class="field-body">The coefficient affects the gradient in the backward.</td>
 </tr>
@@ -3503,7 +3501,7 @@ In other cases, max_sort_size must be greater than or
 equal to NDCG_num. And if max_sort_size is greater
 than the size of a list, the algorithm will sort the
 entire list of get gradient.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -3591,7 +3589,7 @@ Their dimension is one.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label is 1 or 0, means positive order and reverse order.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The weight affects the cost, namely the scale of cost.
 It is an optional argument.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
@@ -3623,8 +3621,8 @@ It is an optional argument.</li>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The first input layer.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input of this layer.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -3664,9 +3662,9 @@ field model.</p>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The third layer is &#8220;weight&#8221; of each sample, which is an
 optional argument.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter attribute. None means default attribute</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3705,8 +3703,8 @@ decoding or 0 for correct decoding.</p>
 <li><strong>size</strong> (<em>int</em>) &#8211; size of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em><em> or </em><em>None</em>) &#8211; None or ground-truth label.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter attribute. None means default attribute</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3752,12 +3750,12 @@ should also be num_classes + 1.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The data layer of label with variable length.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; category numbers + 1.</li>
-<li><strong>name</strong> (<em>basestring|None</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>basestring | None</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>norm_by_times</strong> (<em>bool</em>) &#8211; Whether to normalization by times. False by default.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3812,13 +3810,13 @@ should be consistent as that used in your labels.</li>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The data layer of label with variable length.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; category numbers + 1.</li>
-<li><strong>name</strong> (<em>basestring|None</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>basestring | None</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>blank</strong> (<em>int</em>) &#8211; the &#8216;blank&#8217; label used in ctc</li>
 <li><strong>norm_by_times</strong> (<em>bool</em>) &#8211; Whether to normalization by times. False by default.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3853,17 +3851,17 @@ A fast and simple algorithm for training neural probabilistic language models.</
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple|collections.Sequence</em>) &#8211; The input layers. It could be a paddle.v2.config_base.Layer of list/tuple of paddle.v2.config_base.Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple | collections.Sequence</em>) &#8211; The input layers. It could be a paddle.v2.config_base.Layer of list/tuple of paddle.v2.config_base.Layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; label layer</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; weight layer, can be None(default)</li>
 <li><strong>num_classes</strong> (<em>int</em>) &#8211; number of classes.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation, default is Sigmoid.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Sigmoid is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute|list.</li>
 <li><strong>num_neg_samples</strong> (<em>int</em>) &#8211; number of negative samples. Default is 10.</li>
-<li><strong>neg_distribution</strong> (<em>list|tuple|collections.Sequence|None</em>) &#8211; The distribution for generating the random negative labels.
+<li><strong>neg_distribution</strong> (<em>list | tuple | collections.Sequence | None</em>) &#8211; The distribution for generating the random negative labels.
 A uniform distribution will be used if not provided.
 If not None, its length must be equal to num_classes.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -3901,16 +3899,15 @@ Hierarchical Probabilistic Neural Network Language Model.&#8221;</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of
-paddle.v2.config_base.Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label layer.</li>
-<li><strong>num_classes</strong> (<em>int|None</em>) &#8211; number of classes.</li>
+<li><strong>num_classes</strong> (<em>int | None</em>) &#8211; number of classes.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Parameter Attribute. None means default parameter.</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Parameter Attribute. None means default parameter.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -3951,7 +3948,7 @@ size of input and label are equal. The formula is as follows,</p>
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
@@ -4022,7 +4019,7 @@ It is used by recurrent layer group.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>eos_id</strong> (<em>int</em>) &#8211; end id of sequence</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -4057,7 +4054,7 @@ It is used by recurrent layer group.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>dropout_rate</strong> (<em>float</em>) &#8211; The probability of dropout.</li>
 </ul>
 </td>
@@ -4100,7 +4097,7 @@ a_i * z_i  &amp;\quad \mathrm{otherwise}\end{split}\]</div>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>partial_sum</strong> (<em>int</em>) &#8211; <p>this parameter makes a group of inputs share a same weight.</p>
 <ul>
 <li>partial_sum = 1, indicates the element-wise activation: each element has a weight.</li>
@@ -4108,8 +4105,8 @@ a_i * z_i  &amp;\quad \mathrm{otherwise}\end{split}\]</div>
 <li>partial_sum = number of outputs, indicates all elements share a same weight.</li>
 </ul>
 </li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; The parameter attribute. See paddle.v2.attr.ParameterAttribute for details.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra layer configurations. Default is None.</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; The parameter attribute. See paddle.v2.attr.ParameterAttribute for details.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra layer configurations. Default is None.</li>
 </ul>
 </td>
 </tr>
@@ -4146,24 +4143,24 @@ product between <a href="#id11"><span class="problematic" id="id12">:match:`X&#8
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input for this layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; output size of the gated unit.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation type of the projected input.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type of the projected input. paddle.v2.activation.Linear is the default.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>gate_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Attributes to tune the gate output, for example, error
+<li><strong>gate_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Attributes to tune the gate output, for example, error
 clipping threshold, dropout and so on. See paddle.v2.attr.ExtraAttribute for
 more details.</li>
-<li><strong>gate_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable projected matrix
+<li><strong>gate_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable projected matrix
 parameter of the gate.</li>
-<li><strong>gate_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable bias of the gate.</li>
-<li><strong>inproj_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Attributes to the tune the projected input, for
+<li><strong>gate_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable bias of the gate.</li>
+<li><strong>inproj_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Attributes to the tune the projected input, for
 example, error clipping threshold, dropout and so on. See
 paddle.v2.attr.ExtraAttribute for more details.</li>
-<li><strong>inproj_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable parameter of
+<li><strong>inproj_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable parameter of
 the projection of input.</li>
-<li><strong>inproj_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable bias of
+<li><strong>inproj_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable bias of
 projection of the input.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Attributes to tune the final output of the gated unit,
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Attributes to tune the final output of the gated unit,
 for example, error clipping threshold, dropout and so on. See
 paddle.v2.attr.ExtraAttribute for more details.</li>
 </ul>

--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
--- a/develop/doc_cn/api/v2/config/layer.html
+++ b/develop/doc_cn/api/v2/config/layer.html
@@ -238,15 +238,15 @@
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; The input layer. Could be a list/tuple of input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The layer dimension.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is tanh.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Tanh is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute|list.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -280,18 +280,18 @@ specified, selective_fc acts exactly like fc.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>select</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The select layer. The output of select layer should be a
 sparse binary matrix, and treat as the mask of selective fc.
 If is None, acts exactly like fc.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The layer dimension.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is tanh.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -377,7 +377,7 @@ conv and only support GPU mode.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>filter_size</strong> (<em>int</em>) &#8211; The x dimension of a filter kernel.</li>
 <li><strong>filter_size_y</strong> (<em>int</em>) &#8211; The y dimension of a filter kernel. Since
 PaddlePaddle now supports rectangular filters,
@@ -390,7 +390,7 @@ the filter&#8217;s shape can be (filter_size, filter_size_y).</li>
 <li><strong>padding_y</strong> (<em>int</em>) &#8211; The y dimension of padding.</li>
 <li><strong>groups</strong> (<em>int</em>) &#8211; The group number.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Convolution param attribute. None means default attribute</li>
-<li><strong>trans</strong> (<em>boolean</em>) &#8211; whether it is convTrans or conv</li>
+<li><strong>trans</strong> (<em>bool</em>) &#8211; whether it is convTrans or conv</li>
 </ul>
 </td>
 </tr>
@@ -495,25 +495,25 @@ rest channels will be processed by rest group of filters.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Layer Input.</li>
-<li><strong>filter_size</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of a filter kernel. Or input a tuple for
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>filter_size</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of a filter kernel. Or input a tuple for
 two image dimension.</li>
-<li><strong>filter_size_y</strong> (<em>int|None</em>) &#8211; The y dimension of a filter kernel. Since PaddlePaddle
+<li><strong>filter_size_y</strong> (<em>int | None</em>) &#8211; The y dimension of a filter kernel. Since PaddlePaddle
 currently supports rectangular filters, the filter&#8217;s
 shape will be (filter_size, filter_size_y).</li>
 <li><strong>num_filters</strong> &#8211; Each filter group&#8217;s number of filter</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. Default is tanh</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Relu is the default.</li>
 <li><strong>groups</strong> (<em>int</em>) &#8211; Group size of filters.</li>
-<li><strong>stride</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of the stride. Or input a tuple for two image
+<li><strong>stride</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of the stride. Or input a tuple for two image
 dimension.</li>
 <li><strong>stride_y</strong> (<em>int</em>) &#8211; The y dimension of the stride.</li>
-<li><strong>padding</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of the padding. Or input a tuple for two
+<li><strong>padding</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of the padding. Or input a tuple for two
 image dimension</li>
 <li><strong>padding_y</strong> (<em>int</em>) &#8211; The y dimension of the padding.</li>
-<li><strong>dilation</strong> (<em>int|tuple|list</em>) &#8211; The x dimension of the dilation. Or input a tuple for two
+<li><strong>dilation</strong> (<em>int | tuple | list</em>) &#8211; The x dimension of the dilation. Or input a tuple for two
 image dimension</li>
 <li><strong>dilation_y</strong> (<em>int</em>) &#8211; The y dimension of the dilation.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -560,11 +560,11 @@ be [ 0AB ABC BCD CDE DEF EFG FG0 ].</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Sequence.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which should be a sequence.</li>
 <li><strong>context_len</strong> (<em>int</em>) &#8211; context length.</li>
 <li><strong>context_start</strong> (<em>int</em>) &#8211; context start position. Default is
 -(context_len - 1)/2</li>
-<li><strong>padding_attr</strong> (<em>bool|paddle.v2.attr.ParameterAttribute</em>) &#8211; Padding Parameter Attribute. If false, it means padding
+<li><strong>padding_attr</strong> (<em>bool | paddle.v2.attr.ParameterAttribute</em>) &#8211; Padding Parameter Attribute. If false, it means padding
 always be zero. Otherwise Padding is learnable, and
 parameter attribute is set by this parameter.</li>
 </ul>
@@ -616,13 +616,13 @@ number plus one equals context_len.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>context_len</strong> (<em>int</em>) &#8211; The context length equals the lookahead step number
 plus one.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is linear activation.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Linear is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute. If None, the parameter will be
 initialized smartly. It&#8217;s better to set it by yourself.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -677,16 +677,16 @@ h = 1 + int(floor(input\_height + 2 * padding\_y - pool\_size\_y) / float(stride
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>padding</strong> (<em>int</em>) &#8211; pooling padding width.</li>
-<li><strong>padding_y</strong> (<em>int|None</em>) &#8211; pooling padding height. It&#8217;s equal to padding by default.</li>
+<li><strong>padding_y</strong> (<em>int | None</em>) &#8211; pooling padding height. It&#8217;s equal to padding by default.</li>
 <li><strong>name</strong> (<em>basestring.</em>) &#8211; name of pooling layer</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>pool_size</strong> (<em>int</em>) &#8211; pooling window width</li>
-<li><strong>pool_size_y</strong> (<em>int|None</em>) &#8211; pooling window height. It&#8217;s eaqual to pool_size by default.</li>
+<li><strong>pool_size_y</strong> (<em>int | None</em>) &#8211; pooling window height. It&#8217;s eaqual to pool_size by default.</li>
 <li><strong>num_channels</strong> (<em>int</em>) &#8211; number of input channel.</li>
 <li><strong>pool_type</strong> (<em>BasePoolingType</em>) &#8211; pooling type. MaxPooling or AvgPooling. Default is
 MaxPooling.</li>
 <li><strong>stride</strong> (<em>int</em>) &#8211; stride width of pooling.</li>
-<li><strong>stride_y</strong> (<em>int|None</em>) &#8211; stride height of pooling. It is equal to stride by default.</li>
+<li><strong>stride_y</strong> (<em>int | None</em>) &#8211; stride height of pooling. It is equal to stride by default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer attribute.</li>
 <li><strong>ceil_mode</strong> (<em>bool</em>) &#8211; Wether to use ceil mode to calculate output height and with.
 Defalut is True. If set false, Otherwise use floor.</li>
@@ -725,7 +725,7 @@ The details please refer to
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>num_channels</strong> (<em>int</em>) &#8211; number of input channel.</li>
 <li><strong>pool_type</strong> &#8211; Pooling type. MaxPooling or AveragePooling. Default is MaxPooling.</li>
 <li><strong>pyramid_height</strong> (<em>int</em>) &#8211; pyramid height.</li>
@@ -785,11 +785,11 @@ s = input.size / num_channels
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
-<li><strong>num_channels</strong> (<em>int|None</em>) &#8211; The channel number of input layer. If None will be set
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>num_channels</strong> (<em>int | None</em>) &#8211; The channel number of input layer. If None will be set
 automatically from previous output.</li>
 <li><strong>groups</strong> (<em>int</em>) &#8211; The group number of input layer.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer attribute.</li>
 </ul>
 </td>
@@ -825,8 +825,8 @@ The details please refer to
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; Normalize in number of <span class="math">\(size\)</span> feature maps.</li>
 <li><strong>scale</strong> (<em>float</em>) &#8211; The hyper-parameter.</li>
 <li><strong>power</strong> (<em>float</em>) &#8211; The hyper-parameter.</li>
@@ -876,7 +876,7 @@ y_i &amp;\gets \gamma \hat{x_i} + \beta \qquad &amp;//\ scale\ and\ shift\end{sp
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; batch normalization input. Better be linear activation.
 Because there is an activation inside batch_normalization.</li>
-<li><strong>batch_norm_type</strong> (<em>None|string</em><em>, </em><em>None</em><em> or </em><em>&quot;batch_norm&quot;</em><em> or </em><em>&quot;cudnn_batch_norm&quot;</em>) &#8211; We have batch_norm and cudnn_batch_norm. batch_norm
+<li><strong>batch_norm_type</strong> (<em>None | string</em><em>, </em><em>None</em><em> or </em><em>&quot;batch_norm&quot;</em><em> or </em><em>&quot;cudnn_batch_norm&quot;</em>) &#8211; We have batch_norm and cudnn_batch_norm. batch_norm
 supports both CPU and GPU. cudnn_batch_norm requires
 cuDNN version greater or equal to v4 (&gt;=v4). But
 cudnn_batch_norm is faster and needs less memory
@@ -890,12 +890,12 @@ normalization will normalize input near zero.</li>
 <li><strong>num_channels</strong> (<em>int</em>) &#8211; num of image channels or previous layer&#8217;s number of
 filters. None will automatically get from layer&#8217;s
 input.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; <span class="math">\(\beta\)</span>, better be zero when initialize. So the
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; <span class="math">\(\beta\)</span>, better be zero when initialize. So the
 initial_std=0, initial_mean=1 is best practice.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; <span class="math">\(\gamma\)</span>, better be one when initialize. So the
 initial_std=0, initial_mean=1 is best practice.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
-<li><strong>use_global_stats</strong> (<em>bool|None.</em>) &#8211; whether use moving mean/variance statistics
+<li><strong>use_global_stats</strong> (<em>bool | None.</em>) &#8211; whether use moving mean/variance statistics
 during testing peroid. If None or True,
 it will use moving mean/variance statistics during
 testing. If False, it will use the mean
@@ -940,7 +940,7 @@ and <span class="math">\(out\)</span> is a (batchSize x dataDim) output vector.<
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -972,7 +972,7 @@ factors which dimensions equal to the channel&#8217;s number.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute|list.</li>
 </ul>
 </td>
@@ -1007,7 +1007,7 @@ and the size of <span class="math">\(out\)</span> is a (batchSize x dataDim) .</
 <col class="field-name" />
 <col class="field-body" />
 <tbody valign="top">
-<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">Input layer.</td>
+<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">The input of this layer.</td>
 </tr>
 <tr class="field-even field"><th class="field-name">type input:</th><td class="field-body">paddle.v2.config_base.Layer</td>
 </tr>
@@ -1054,9 +1054,9 @@ out_{i} = act(in_{i} + out_{i+1} * W) \ \ \text{for} \ start &lt;= i &lt; end\en
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1104,17 +1104,17 @@ more details about LSTM.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The lstmemory layer name.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; DEPRECATED. size of the lstm cell</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>reverse</strong> (<em>bool</em>) &#8211; is sequence process reversed or not.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation type, paddle.v2.activation.Tanh by default. <span class="math">\(h_t\)</span></li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default. <span class="math">\(h_t\)</span></li>
 <li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; gate activation type, paddle.v2.activation.Sigmoid by default.</li>
 <li><strong>state_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; state activation type, paddle.v2.activation.Tanh by default.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|False</em>) &#8211; Parameter Attribute.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer attribute</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | False</em>) &#8211; Parameter Attribute.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer attribute</li>
 </ul>
 </td>
 </tr>
@@ -1170,21 +1170,21 @@ Recurrent Neural Networks on Sequence Modeling.</a></p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The gru layer name.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; input layer.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The gru layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; DEPRECATED. size of the gru cell</li>
 <li><strong>reverse</strong> (<em>bool</em>) &#8211; Whether sequence process is reversed or not.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation type, paddle.v2.activation.Tanh by default. This activation
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type, paddle.v2.activation.Tanh is the default. This activation
 affects the <span class="math">\({\tilde{h_t}}\)</span>.</li>
 <li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; gate activation type, paddle.v2.activation.Sigmoid by default.
 This activation affects the <span class="math">\(z_t\)</span> and <span class="math">\(r_t\)</span>. It is the
 <span class="math">\(\sigma\)</span> in the above formula.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|False</em>) &#8211; Parameter Attribute.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer attribute</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | False</em>) &#8211; Parameter Attribute.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer attribute</li>
 </ul>
 </td>
 </tr>
@@ -1242,8 +1242,8 @@ name of the layer which this memory remembers.</li>
 <li><strong>memory_name</strong> (<em>basestring</em>) &#8211; the name of the memory.
 It is ignored when name is provided.</li>
 <li><strong>is_seq</strong> (<em>bool</em>) &#8211; DEPRECATED. is sequence for boot</li>
-<li><strong>boot</strong> (<em>paddle.v2.config_base.Layer|None</em>) &#8211; boot layer of memory.</li>
-<li><strong>boot_bias</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; boot layer&#8217;s bias</li>
+<li><strong>boot</strong> (<em>paddle.v2.config_base.Layer | None</em>) &#8211; boot layer of memory.</li>
+<li><strong>boot_bias</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; boot layer&#8217;s bias</li>
 <li><strong>boot_bias_active_type</strong> (<em>paddle.v2.activation.Base</em>) &#8211; boot layer&#8217;s active type.</li>
 <li><strong>boot_with_const_id</strong> (<em>int</em>) &#8211; boot layer&#8217;s id.</li>
 </ul>
@@ -1301,7 +1301,7 @@ a time step result. Then gather each time step of output into
 layer group&#8217;s output.</p>
 </li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; recurrent_group&#8217;s name.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|StaticInput|SubsequenceInput|list|tuple</em>) &#8211; <p>Input links array.</p>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | StaticInput | SubsequenceInput | list | tuple</em>) &#8211; <p>Input links array.</p>
 <p>paddle.v2.config_base.Layer will be scattered into time steps.
 SubsequenceInput will be scattered into sequence steps.
 StaticInput will be imported to each time step, and doesn&#8217;t change
@@ -1309,7 +1309,7 @@ through time. It&#8217;s a mechanism to access layer outside step function.</p>
 </li>
 <li><strong>reverse</strong> (<em>bool</em>) &#8211; If reverse is set true, the recurrent unit will process the
 input sequence in a reverse order.</li>
-<li><strong>targetInlink</strong> (<em>paddle.v2.config_base.Layer|SubsequenceInput</em>) &#8211; <p>DEPRECATED.
+<li><strong>targetInlink</strong> (<em>paddle.v2.config_base.Layer | SubsequenceInput</em>) &#8211; <p>DEPRECATED.
 The input layer which share info with layer group&#8217;s output</p>
 <p>Param input specifies multiple input layers. For
 SubsequenceInput inputs, config should assign one input
@@ -1360,12 +1360,10 @@ output is <span class="math">\(o_t\)</span>, whose name is &#8216;state&#8217; a
 <code class="code docutils literal"><span class="pre">state.size</span></code>.</li>
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer. <span class="math">\(Wx_t + Wh_{t-1}\)</span></li>
 <li><strong>state</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; State Layer. <span class="math">\(c_{t-1}\)</span></li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. Default is tanh</li>
-<li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Gate Activation Type. Default is sigmoid, and should
-be sigmoid only.</li>
-<li><strong>state_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; State Activation Type. Default is sigmoid, and should
-be sigmoid only.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Tanh is the default.</li>
+<li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Gate Activation Type. paddle.v2.activation.Sigmoid is the default.</li>
+<li><strong>state_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; State Activation Type. paddle.v2.activation.Tanh is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1397,10 +1395,10 @@ True, the bias is initialized to zero.</li>
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; </li>
 <li><strong>output_mem</strong> &#8211; </li>
 <li><strong>size</strong> &#8211; </li>
-<li><strong>act</strong> &#8211; </li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; </li>
 <li><strong>name</strong> &#8211; The name of this layer. It is optional.</li>
-<li><strong>gate_act</strong> &#8211; </li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>gate_act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type of this layer&#8217;s two gates. Default is Sigmoid.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1570,10 +1568,10 @@ Each inputs is a projection or operator.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; mixed layer name. Can be referenced by other layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; layer size.</li>
-<li><strong>input</strong> &#8211; inputs layer. It is an optional parameter. If set,
+<li><strong>input</strong> &#8211; The input of this layer. It is an optional parameter. If set,
 then this function will just return layer&#8217;s name.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Linear is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -1604,11 +1602,11 @@ True, the bias is initialized to zero.</li>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer for this embedding. NOTE: must be Index Data.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which must be Index Data.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The embedding dimension.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; The embedding parameter attribute. See paddle.v2.attr.ParameterAttribute
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; The embedding parameter attribute. See paddle.v2.attr.ParameterAttribute
 for details.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra layer Config. Default is None.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra layer Config. Default is None.</li>
 </ul>
 </td>
 </tr>
@@ -1641,7 +1639,7 @@ the output.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
 </td>
@@ -1676,7 +1674,7 @@ It performs element-wise multiplication with weight.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
 </td>
@@ -1757,7 +1755,7 @@ scale is a config scalar, its default value is one.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The parameter size. Means the width of parameter.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
@@ -1804,7 +1802,7 @@ It select dimesions [offset, offset+layer_size) from input:</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>offset</strong> (<em>int</em>) &#8211; Offset, None if use default.</li>
 </ul>
 </td>
@@ -1839,7 +1837,7 @@ and then select some of them to merge into a new output.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>slices</strong> (<em>pair of int</em>) &#8211; An array of slice parameters.
 Each slice contains the start and end offsets based
 on the input.</li>
@@ -1889,7 +1887,7 @@ and <span class="math">\(i\)</span> is row_id.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer, which must contains id fields.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which must contains id fields.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The parameter size. Means the width of parameter.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
@@ -1930,7 +1928,7 @@ The simply usage is:</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; The parameter size. Means the width of parameter.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter config, None if use default.</li>
 </ul>
@@ -2000,15 +1998,15 @@ of stride is -1.</p>
 <li><strong>agg_level</strong> (<em>AggregateLevel</em>) &#8211; AggregateLevel.TO_NO_SEQUENCE or
 AggregateLevel.TO_SEQUENCE</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer name.</li>
-<li><strong>pooling_type</strong> (<em>BasePoolingType|None</em>) &#8211; Type of pooling, MaxPooling(default), AvgPooling,
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>pooling_type</strong> (<em>BasePoolingType | None</em>) &#8211; Type of pooling, MaxPooling(default), AvgPooling,
 SumPooling, SquareRootNPooling.</li>
 <li><strong>stride</strong> (<em>Int</em>) &#8211; The step size between successive pooling regions.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; The Extra Attributes for layer, such as dropout.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; The Extra Attributes for layer, such as dropout.</li>
 </ul>
 </td>
 </tr>
@@ -2044,7 +2042,7 @@ of stride is -1.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>agg_level</strong> &#8211; Aggregated level</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>stride</strong> (<em>Int</em>) &#8211; The step size between successive pooling regions.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -2082,7 +2080,7 @@ of stride is -1.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>agg_level</strong> &#8211; aggregation level</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>stride</strong> (<em>Int</em>) &#8211; The step size between successive pooling regions.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -2116,8 +2114,8 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>list|tuple|collections.Sequence</em>) &#8211; input layers or projections</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>input</strong> (<em>list | tuple | collections.Sequence</em>) &#8211; input layers or projections</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -2162,9 +2160,9 @@ processed in one batch.</p>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>a</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input sequence layer</li>
 <li><strong>b</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input sequence layer</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2213,9 +2211,9 @@ will be sliced for multiple times.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input for this layer, it should be a sequence.</li>
-<li><strong>starts</strong> (<em>paddle.v2.config_base.Layer|None</em>) &#8211; start indices to slice the input sequence.</li>
-<li><strong>ends</strong> (<em>paddle.v2.config_base.Layer|None</em>) &#8211; end indices to slice the input sequence.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer, which should be a sequence.</li>
+<li><strong>starts</strong> (<em>paddle.v2.config_base.Layer | None</em>) &#8211; start indices to slice the input sequence.</li>
+<li><strong>ends</strong> (<em>paddle.v2.config_base.Layer | None</em>) &#8211; end indices to slice the input sequence.</li>
 </ul>
 </td>
 </tr>
@@ -2244,7 +2242,7 @@ sequence; the second one is a set of selceted indices in the nested sequence.</p
 to the selected indices to form a new output. This layer is useful in
 beam training.</p>
 <p>The example usage is:</p>
-<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">sub_nest_seq</span> <span class="o">=</span> <span class="n">sub_nested_seq</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">data</span><span class="p">,</span> <span class="n">selected_indices</span><span class="p">])</span>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">sub_nest_seq</span> <span class="o">=</span> <span class="n">sub_nested_seq</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">selected_indices</span><span class="o">=</span><span class="n">selected_ids</span><span class="p">)</span>
 </pre></div>
 </div>
 <table class="docutils field-list" frame="void" rules="none">
@@ -2252,8 +2250,8 @@ beam training.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; A nested sequence.</li>
-<li><strong>selected_indices</strong> &#8211; a set of sequence indices in the nested sequence.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer. It is a nested sequence.</li>
+<li><strong>selected_indices</strong> &#8211; A set of sequence indices in the nested sequence.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 </ul>
 </td>
@@ -2306,16 +2304,16 @@ convolution neural network, and before recurrent neural network.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
-<li><strong>num_channels</strong> (<em>int|None</em>) &#8211; The channel number of input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>num_channels</strong> (<em>int | None</em>) &#8211; The channel number of input layer.</li>
 <li><strong>block_x</strong> (<em>int</em>) &#8211; The width of sub block.</li>
 <li><strong>block_y</strong> (<em>int</em>) &#8211; The width of sub block.</li>
 <li><strong>stride_x</strong> (<em>int</em>) &#8211; The stride size in horizontal direction.</li>
 <li><strong>stride_y</strong> (<em>int</em>) &#8211; The stride size in vertical direction.</li>
 <li><strong>padding_x</strong> (<em>int</em>) &#8211; The padding size in horizontal direction.</li>
 <li><strong>padding_y</strong> (<em>int</em>) &#8211; The padding size in vertical direction.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -2366,10 +2364,10 @@ sequence is one) to sequence data.&#8221;</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>expand_as</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Expand as this layer&#8217;s sequence info.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2414,7 +2412,7 @@ True, the bias is initialized to zero.</li>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>num_repeats</strong> (<em>int</em>) &#8211; Repeat the input so many times</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>as_row_vector</strong> (<em>bool</em>) &#8211; True for treating input as row vector and repeating
@@ -2422,7 +2420,7 @@ in the column direction.  This is equivalent to apply
 concat() with num_repeats same input.
 False for treating input as column vector and repeating
 in the row direction.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
 </td>
@@ -2459,7 +2457,7 @@ usually used when the input sample is some image or feature map.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>height</strong> (<em>int</em>) &#8211; The height of the sample matrix</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2495,12 +2493,12 @@ output sequence has T*M/N instances, the dimension of each instance is N.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>reshape_size</strong> (<em>int</em>) &#8211; the size of reshaped sequence.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Identity is the default.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2553,10 +2551,10 @@ Please refer to dropout for details.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of
 paddle.v2.config_base.Layer.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type, default is tanh.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. paddle.v2.activation.Linear is the default.</li>
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -2623,7 +2621,7 @@ processed in one batch.</p>
 <li><strong>vectors</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The vector layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; the dimension of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -2659,7 +2657,7 @@ which is used in NEURAL TURING MACHINE.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>list|tuple</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2694,9 +2692,9 @@ which is used in NEURAL TURING MACHINE.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; A input layer.</li>
-<li><strong>out_size_x</strong> (<em>int|None</em>) &#8211; bilinear interpolation output width.</li>
-<li><strong>out_size_y</strong> (<em>int|None</em>) &#8211; bilinear interpolation output height.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The layer&#8217;s name, which cna not be specified.</li>
+<li><strong>out_size_x</strong> (<em>int | None</em>) &#8211; bilinear interpolation output width.</li>
+<li><strong>out_size_y</strong> (<em>int | None</em>) &#8211; bilinear interpolation output height.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The layer&#8217;s name, which cna not be specified.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer attribute.</li>
 </ul>
 </td>
@@ -2732,7 +2730,7 @@ and <span class="math">\(y\)</span> is a output vector.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2771,7 +2769,7 @@ processed in one batch.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Weight layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
@@ -2813,7 +2811,7 @@ ight)</p>
 </tr>
 <tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">basestring</td>
 </tr>
-<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">The input layer.</td>
+<tr class="field-odd field"><th class="field-name">param input:</th><td class="field-body">The input of this layer.</td>
 </tr>
 <tr class="field-even field"><th class="field-name">type input:</th><td class="field-body">paddle.v2.config_base.Layer.</td>
 </tr>
@@ -2848,9 +2846,9 @@ where size is the parameter of this layer indicating the output dimension.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input to this layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>size</strong> (<em>int</em>) &#8211; The resized output dimesion of this layer.</li>
+<li><strong>size</strong> (<em>int</em>) &#8211; The resized output dimension of this layer.</li>
 </ul>
 </td>
 </tr>
@@ -2883,11 +2881,11 @@ element-wise. There is no activation and weight.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>slope</strong> (<em>float.</em>) &#8211; the scale factor.</li>
 <li><strong>intercept</strong> (<em>float.</em>) &#8211; the offset.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -2935,13 +2933,13 @@ For example, each sample:</p>
 <li><strong>a</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer a.</li>
 <li><strong>b</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input layer b.</li>
 <li><strong>size</strong> (<em>int.</em>) &#8211; the layer dimension.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation Type. Default is tanh.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Linear is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3017,7 +3015,7 @@ processed in one batch.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -3055,9 +3053,9 @@ bias are trainable.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The parameter attribute of scaling.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -3094,7 +3092,7 @@ The result is stored in output.ids.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -3127,9 +3125,9 @@ Sampling one id for one sample.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3237,10 +3235,10 @@ in width dimension.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; layer&#8217;s input.</li>
-<li><strong>pad_c</strong> (<em>list|None</em>) &#8211; padding size in channel dimension.</li>
-<li><strong>pad_h</strong> (<em>list|None</em>) &#8211; padding size in height dimension.</li>
-<li><strong>pad_w</strong> (<em>list|None</em>) &#8211; padding size in width dimension.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
+<li><strong>pad_c</strong> (<em>list | None</em>) &#8211; padding size in channel dimension.</li>
+<li><strong>pad_h</strong> (<em>list | None</em>) &#8211; padding size in height dimension.</li>
+<li><strong>pad_w</strong> (<em>list | None</em>) &#8211; padding size in width dimension.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
 </ul>
@@ -3278,7 +3276,7 @@ in width dimension.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The first input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float.</em>) &#8211; The cost is multiplied with coeff.
 The coefficient affects the gradient in the backward.</li>
 <li><strong>weight</strong> (<em>LayerOutout</em>) &#8211; The cost of each sample is multiplied with each weight.
@@ -3318,7 +3316,7 @@ Input should be a vector of positive numbers, without normalization.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The first input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float.</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>softmax_selfnorm_alpha</strong> (<em>float.</em>) &#8211; The scale factor affects the cost.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
@@ -3354,7 +3352,7 @@ Input should be a vector of positive numbers, without normalization.</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The first input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
@@ -3405,7 +3403,7 @@ ight <a href="#id2"><span class="problematic" id="id3">|</span></a>leq delta</p>
 </tr>
 <tr class="field-odd field"><th class="field-name">param name:</th><td class="field-body">The name of this layer. It is optional.</td>
 </tr>
-<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None|basestring.</td>
+<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None | basestring.</td>
 </tr>
 <tr class="field-odd field"><th class="field-name">param delta:</th><td class="field-body">The difference between the observed and predicted values.</td>
 </tr>
@@ -3464,7 +3462,7 @@ a true binary class label :math:<a href="#id6"><span class="problematic" id="id7
 </tr>
 <tr class="field-odd field"><th class="field-name">param name:</th><td class="field-body">The name of this layer. It is optional.</td>
 </tr>
-<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None|basestring.</td>
+<tr class="field-even field"><th class="field-name">type name:</th><td class="field-body">None | basestring.</td>
 </tr>
 <tr class="field-odd field"><th class="field-name">param coeff:</th><td class="field-body">The coefficient affects the gradient in the backward.</td>
 </tr>
@@ -3517,7 +3515,7 @@ In other cases, max_sort_size must be greater than or
 equal to NDCG_num. And if max_sort_size is greater
 than the size of a list, the algorithm will sort the
 entire list of get gradient.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -3605,7 +3603,7 @@ Their dimension is one.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label is 1 or 0, means positive order and reverse order.</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The weight affects the cost, namely the scale of cost.
 It is an optional argument.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
@@ -3637,8 +3635,8 @@ It is an optional argument.</li>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The first input layer.</li>
-<li><strong>name</strong> (<em>None|basestring.</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer.</em>) &#8211; The input of this layer.</li>
+<li><strong>name</strong> (<em>None | basestring.</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -3678,9 +3676,9 @@ field model.</p>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The third layer is &#8220;weight&#8221; of each sample, which is an
 optional argument.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter attribute. None means default attribute</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3719,8 +3717,8 @@ decoding or 0 for correct decoding.</p>
 <li><strong>size</strong> (<em>int</em>) &#8211; size of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em><em> or </em><em>None</em>) &#8211; None or ground-truth label.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; Parameter attribute. None means default attribute</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3766,12 +3764,12 @@ should also be num_classes + 1.</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The data layer of label with variable length.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; category numbers + 1.</li>
-<li><strong>name</strong> (<em>basestring|None</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>basestring | None</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>norm_by_times</strong> (<em>bool</em>) &#8211; Whether to normalization by times. False by default.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3826,13 +3824,13 @@ should be consistent as that used in your labels.</li>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The data layer of label with variable length.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; category numbers + 1.</li>
-<li><strong>name</strong> (<em>basestring|None</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>basestring | None</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>blank</strong> (<em>int</em>) &#8211; the &#8216;blank&#8217; label used in ctc</li>
 <li><strong>norm_by_times</strong> (<em>bool</em>) &#8211; Whether to normalization by times. False by default.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra Layer config.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra Layer config.</li>
 </ul>
 </td>
 </tr>
@@ -3867,17 +3865,17 @@ A fast and simple algorithm for training neural probabilistic language models.</
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple|collections.Sequence</em>) &#8211; The input layers. It could be a paddle.v2.config_base.Layer of list/tuple of paddle.v2.config_base.Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple | collections.Sequence</em>) &#8211; The input layers. It could be a paddle.v2.config_base.Layer of list/tuple of paddle.v2.config_base.Layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; label layer</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; weight layer, can be None(default)</li>
 <li><strong>num_classes</strong> (<em>int</em>) &#8211; number of classes.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation, default is Sigmoid.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type. paddle.v2.activation.Sigmoid is the default.</li>
 <li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute</em>) &#8211; The Parameter Attribute|list.</li>
 <li><strong>num_neg_samples</strong> (<em>int</em>) &#8211; number of negative samples. Default is 10.</li>
-<li><strong>neg_distribution</strong> (<em>list|tuple|collections.Sequence|None</em>) &#8211; The distribution for generating the random negative labels.
+<li><strong>neg_distribution</strong> (<em>list | tuple | collections.Sequence | None</em>) &#8211; The distribution for generating the random negative labels.
 A uniform distribution will be used if not provided.
 If not None, its length must be equal to num_classes.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
@@ -3915,16 +3913,15 @@ Hierarchical Probabilistic Neural Network Language Model.&#8221;</p>
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer|list|tuple</em>) &#8211; Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of
-paddle.v2.config_base.Layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer | list | tuple</em>) &#8211; The input of this layer.</li>
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Label layer.</li>
-<li><strong>num_classes</strong> (<em>int|None</em>) &#8211; number of classes.</li>
+<li><strong>num_classes</strong> (<em>int | None</em>) &#8211; number of classes.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None|Bool|Any</em>) &#8211; The Bias Attribute. If the parameter is set to
+<li><strong>bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None | bool | Any</em>) &#8211; The Bias Attribute. If the parameter is set to
 False or something not type of paddle.v2.attr.ParameterAttribute,
 no bias is defined. If the parameter is set to
 True, the bias is initialized to zero.</li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Parameter Attribute. None means default parameter.</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Parameter Attribute. None means default parameter.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
 </td>
@@ -3965,7 +3962,7 @@ size of input and label are equal. The formula is as follows,</p>
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
 <li><strong>label</strong> &#8211; The input label.</li>
-<li><strong>name</strong> (<em>None|basestring</em>) &#8211; The name of this layer. It is optional.</li>
+<li><strong>name</strong> (<em>None | basestring</em>) &#8211; The name of this layer. It is optional.</li>
 <li><strong>coeff</strong> (<em>float</em>) &#8211; The coefficient affects the gradient in the backward.</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; Extra Layer Attribute.</li>
 </ul>
@@ -4036,7 +4033,7 @@ It is used by recurrent layer group.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input layer name.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>eos_id</strong> (<em>int</em>) &#8211; end id of sequence</li>
 <li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
 </ul>
@@ -4071,7 +4068,7 @@ It is used by recurrent layer group.</p>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>dropout_rate</strong> (<em>float</em>) &#8211; The probability of dropout.</li>
 </ul>
 </td>
@@ -4114,7 +4111,7 @@ a_i * z_i  &amp;\quad \mathrm{otherwise}\end{split}\]</div>
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>partial_sum</strong> (<em>int</em>) &#8211; <p>this parameter makes a group of inputs share a same weight.</p>
 <ul>
 <li>partial_sum = 1, indicates the element-wise activation: each element has a weight.</li>
@@ -4122,8 +4119,8 @@ a_i * z_i  &amp;\quad \mathrm{otherwise}\end{split}\]</div>
 <li>partial_sum = number of outputs, indicates all elements share a same weight.</li>
 </ul>
 </li>
-<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; The parameter attribute. See paddle.v2.attr.ParameterAttribute for details.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Extra layer configurations. Default is None.</li>
+<li><strong>param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; The parameter attribute. See paddle.v2.attr.ParameterAttribute for details.</li>
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Extra layer configurations. Default is None.</li>
 </ul>
 </td>
 </tr>
@@ -4160,24 +4157,24 @@ product between <a href="#id11"><span class="problematic" id="id12">:match:`X&#8
 <col class="field-body" />
 <tbody valign="top">
 <tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
-<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; input for this layer.</li>
+<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; The input of this layer.</li>
 <li><strong>size</strong> (<em>int</em>) &#8211; output size of the gated unit.</li>
-<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; activation type of the projected input.</li>
+<li><strong>act</strong> (<em>paddle.v2.activation.Base</em>) &#8211; Activation type of the projected input. paddle.v2.activation.Linear is the default.</li>
 <li><strong>name</strong> (<em>basestring</em>) &#8211; The name of this layer. It is optional.</li>
-<li><strong>gate_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Attributes to tune the gate output, for example, error
+<li><strong>gate_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Attributes to tune the gate output, for example, error
 clipping threshold, dropout and so on. See paddle.v2.attr.ExtraAttribute for
 more details.</li>
-<li><strong>gate_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable projected matrix
+<li><strong>gate_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable projected matrix
 parameter of the gate.</li>
-<li><strong>gate_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable bias of the gate.</li>
-<li><strong>inproj_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Attributes to the tune the projected input, for
+<li><strong>gate_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable bias of the gate.</li>
+<li><strong>inproj_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Attributes to the tune the projected input, for
 example, error clipping threshold, dropout and so on. See
 paddle.v2.attr.ExtraAttribute for more details.</li>
-<li><strong>inproj_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable parameter of
+<li><strong>inproj_param_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable parameter of
 the projection of input.</li>
-<li><strong>inproj_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute|None</em>) &#8211; Attributes to tune the learnable bias of
+<li><strong>inproj_bias_attr</strong> (<em>paddle.v2.attr.ParameterAttribute | None</em>) &#8211; Attributes to tune the learnable bias of
 projection of the input.</li>
-<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttributeNone</em>) &#8211; Attributes to tune the final output of the gated unit,
+<li><strong>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute | None</em>) &#8211; Attributes to tune the final output of the gated unit,
 for example, error clipping threshold, dropout and so on. See
 paddle.v2.attr.ExtraAttribute for more details.</li>
 </ul>

--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js