Deploy to GitHub Pages: 43d69818

develop/doc/api/v2/data.html

@@ -358,9 +358,9 @@ every element in this vector is either zero or one.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_non_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
-<dd><p>Sparse binary vector. It means the input feature is a sparse vector and the
-every element in this vector is either zero or one.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_float_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
+elements in this vector are zero, others could be any float value.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <col class="field-body" />
@@ -383,24 +383,18 @@ every element in this vector is either zero or one.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
-<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
-elements in this vector are zero, others could be any float value.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_float_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
+<dd><p>Data type of a sequence of sparse vector, which most elements are zero,
+others could be any float value.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <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>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
-<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
-</ul>
-</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>dim</strong> (<em>int</em>) &#8211; dimension of sparse vector.</td>
 </tr>
-<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
-</td>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An input type object</td>
 </tr>
-<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
-</td>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">InputType</td>
 </tr>
 </tbody>
 </table>
@@ -408,9 +402,9 @@ elements in this vector are zero, others could be any float value.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
-<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
-elements in this vector are zero, others could be any float value.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_non_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse binary vector. It means the input feature is a sparse vector and the
+every element in this vector is either zero or one.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <col class="field-body" />
@@ -433,18 +427,24 @@ elements in this vector are zero, others could be any float value.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
-<dd><p>Data type of a sequence of sparse vector, which most elements are zero,
-others could be any float value.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
+elements in this vector are zero, others could be any float value.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <col class="field-body" />
 <tbody valign="top">
-<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>dim</strong> (<em>int</em>) &#8211; dimension of sparse vector.</td>
+<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+</ul>
+</td>
 </tr>
-<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An input type object</td>
+<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
 </tr>
-<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">InputType</td>
+<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
 </tr>
 </tbody>
 </table>

develop/doc_cn/_sources/faq/local/index_cn.rst.txt

@@ -174,7 +174,7 @@ decoder_inputs = paddle.layer.fc(
 1. 两者都是对梯度的截断，但截断时机不同，前者在 :code:`optimzier` 更新网络参数时应用；后者在激活函数反向计算时被调用；
 2. 截断对象不同：前者截断可学习参数的梯度，后者截断回传给前层的梯度;
 
-除此之外，还可以通过减小学习律或者对数据进行归一化处理来解决这类问题。
+除此之外，还可以通过减小学习率或者对数据进行归一化处理来解决这类问题。
 
 5.  如何调用 infer 接口输出多个layer的预测结果
 -----------------------------------------------

develop/doc_cn/api/v2/data.html

@@ -372,9 +372,9 @@ every element in this vector is either zero or one.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_non_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
-<dd><p>Sparse binary vector. It means the input feature is a sparse vector and the
-every element in this vector is either zero or one.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_float_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
+elements in this vector are zero, others could be any float value.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <col class="field-body" />
@@ -397,24 +397,18 @@ every element in this vector is either zero or one.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
-<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
-elements in this vector are zero, others could be any float value.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_float_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
+<dd><p>Data type of a sequence of sparse vector, which most elements are zero,
+others could be any float value.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <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>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
-<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
-</ul>
-</td>
+<tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><strong>dim</strong> (<em>int</em>) &#8211; dimension of sparse vector.</td>
 </tr>
-<tr class="field-even field"><th class="field-name">返回:</th><td class="field-body"><p class="first">An input type object.</p>
-</td>
+<tr class="field-even field"><th class="field-name">返回:</th><td class="field-body">An input type object</td>
 </tr>
-<tr class="field-odd field"><th class="field-name">返回类型:</th><td class="field-body"><p class="first last">InputType</p>
-</td>
+<tr class="field-odd field"><th class="field-name">返回类型:</th><td class="field-body">InputType</td>
 </tr>
 </tbody>
 </table>
@@ -422,9 +416,9 @@ elements in this vector are zero, others could be any float value.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_vector</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
-<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
-elements in this vector are zero, others could be any float value.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_non_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse binary vector. It means the input feature is a sparse vector and the
+every element in this vector is either zero or one.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <col class="field-body" />
@@ -447,18 +441,24 @@ elements in this vector are zero, others could be any float value.</p>
 
 <dl class="function">
 <dt>
-<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_vector_sequence</code><span class="sig-paren">(</span><em>dim</em><span class="sig-paren">)</span></dt>
-<dd><p>Data type of a sequence of sparse vector, which most elements are zero,
-others could be any float value.</p>
+<code class="descclassname">paddle.v2.data_type.</code><code class="descname">sparse_value_slot</code><span class="sig-paren">(</span><em>dim</em>, <em>seq_type=0</em><span class="sig-paren">)</span></dt>
+<dd><p>Sparse vector. It means the input feature is a sparse vector. Most of the
+elements in this vector are zero, others could be any float value.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
 <col class="field-body" />
 <tbody valign="top">
-<tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><strong>dim</strong> (<em>int</em>) &#8211; dimension of sparse vector.</td>
+<tr class="field-odd field"><th class="field-name">参数:</th><td class="field-body"><ul class="first simple">
+<li><strong>dim</strong> (<em>int</em>) &#8211; dimension of this vector.</li>
+<li><strong>seq_type</strong> (<em>int</em>) &#8211; sequence type of this input.</li>
+</ul>
+</td>
 </tr>
-<tr class="field-even field"><th class="field-name">返回:</th><td class="field-body">An input type object</td>
+<tr class="field-even field"><th class="field-name">返回:</th><td class="field-body"><p class="first">An input type object.</p>
+</td>
 </tr>
-<tr class="field-odd field"><th class="field-name">返回类型:</th><td class="field-body">InputType</td>
+<tr class="field-odd field"><th class="field-name">返回类型:</th><td class="field-body"><p class="first last">InputType</p>
+</td>
 </tr>
 </tbody>
 </table>

develop/doc_cn/faq/local/index_cn.html

@@ -414,7 +414,7 @@ layer_attr=paddle.attr.ExtraLayerAttribute(</p>
 <li>两者都是对梯度的截断，但截断时机不同，前者在 <code class="code docutils literal"><span class="pre">optimzier</span></code> 更新网络参数时应用；后者在激活函数反向计算时被调用；</li>
 <li>截断对象不同：前者截断可学习参数的梯度，后者截断回传给前层的梯度;</li>
 </ol>
-<p>除此之外，还可以通过减小学习律或者对数据进行归一化处理来解决这类问题。</p>
+<p>除此之外，还可以通过减小学习率或者对数据进行归一化处理来解决这类问题。</p>
 </div>
 <div class="section" id="infer-layer">
 <h2><a class="toc-backref" href="#id20">5.  如何调用 infer 接口输出多个layer的预测结果</a><a class="headerlink" href="#infer-layer" title="永久链接至标题">¶</a></h2>