提交 23d016da 编写于 作者: T Travis CI

Deploy to GitHub Pages: 8266546e

上级 bef21ad1
......@@ -2010,13 +2010,14 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
<dl class="docutils">
<dt>Inputs:</dt>
<dd><ul class="first last simple">
<li>a = [a1, a2, ..., an]</li>
<li>a = [a1, a2, ..., am]</li>
<li>b = [b1, b2, ..., bn]</li>
<li>Note that the length of a and b should be the same.</li>
</ul>
</dd>
</dl>
<p>Output: [a1, b1, a2, b2, ..., an, bn]</p>
<p>Output: [a1, ..., am, b1, ..., bn]</p>
<p>Note that the above computation is for one sample. Multiple samples are
processed in one batch.</p>
<p>The example usage is:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">concat</span> <span class="o">=</span> <span class="n">seq_concat</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="n">layer1</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="n">layer2</span><span class="p">)</span>
</pre></div>
......@@ -2171,10 +2172,17 @@ bias.</li>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.layer.</code><code class="descname">repeat</code></dt>
<dd><p>A layer for repeating the input for num_repeats times. This is equivalent
to apply concat() with num_repeats same input.</p>
<div class="math">
\[y = [x, x, \cdots, x]\]</div>
<dd><p>A layer for repeating the input for num_repeats times.</p>
<p>If as_row_vector:
.. math:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="n">x_1</span><span class="p">,</span>\<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_1</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">]</span>
</pre></div>
</div>
<p>If not as_row_vector:
.. math:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="n">x_1</span><span class="p">,</span>\<span class="n">cdots</span><span class="p">,</span> <span class="n">x_1</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">]</span>
</pre></div>
</div>
<p>The example usage is:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">expand</span> <span class="o">=</span> <span class="n">repeat</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">layer</span><span class="p">,</span> <span class="n">num_repeats</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
</pre></div>
......@@ -2187,6 +2195,12 @@ to apply concat() with num_repeats same input.</p>
<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input 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; Layer name.</li>
<li><strong>as_row_vector</strong> (<em>bool</em>) &#8211; True for treating input as row vector and repeating
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>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
</ul>
</td>
......
因为 它太大了无法显示 source diff 。你可以改为 查看blob
......@@ -2015,13 +2015,14 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
<dl class="docutils">
<dt>Inputs:</dt>
<dd><ul class="first last simple">
<li>a = [a1, a2, ..., an]</li>
<li>a = [a1, a2, ..., am]</li>
<li>b = [b1, b2, ..., bn]</li>
<li>Note that the length of a and b should be the same.</li>
</ul>
</dd>
</dl>
<p>Output: [a1, b1, a2, b2, ..., an, bn]</p>
<p>Output: [a1, ..., am, b1, ..., bn]</p>
<p>Note that the above computation is for one sample. Multiple samples are
processed in one batch.</p>
<p>The example usage is:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">concat</span> <span class="o">=</span> <span class="n">seq_concat</span><span class="p">(</span><span class="n">a</span><span class="o">=</span><span class="n">layer1</span><span class="p">,</span> <span class="n">b</span><span class="o">=</span><span class="n">layer2</span><span class="p">)</span>
</pre></div>
......@@ -2176,10 +2177,17 @@ bias.</li>
<dl class="class">
<dt>
<em class="property">class </em><code class="descclassname">paddle.v2.layer.</code><code class="descname">repeat</code></dt>
<dd><p>A layer for repeating the input for num_repeats times. This is equivalent
to apply concat() with num_repeats same input.</p>
<div class="math">
\[y = [x, x, \cdots, x]\]</div>
<dd><p>A layer for repeating the input for num_repeats times.</p>
<p>If as_row_vector:
.. math:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="n">x_1</span><span class="p">,</span>\<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_1</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">]</span>
</pre></div>
</div>
<p>If not as_row_vector:
.. math:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="n">x_1</span><span class="p">,</span>\<span class="n">cdots</span><span class="p">,</span> <span class="n">x_1</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">,</span> \<span class="n">cdots</span><span class="p">,</span> <span class="n">x_n</span><span class="p">]</span>
</pre></div>
</div>
<p>The example usage is:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">expand</span> <span class="o">=</span> <span class="n">repeat</span><span class="p">(</span><span class="nb">input</span><span class="o">=</span><span class="n">layer</span><span class="p">,</span> <span class="n">num_repeats</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
</pre></div>
......@@ -2192,6 +2200,12 @@ to apply concat() with num_repeats same input.</p>
<li><strong>input</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; Input 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; Layer name.</li>
<li><strong>as_row_vector</strong> (<em>bool</em>) &#8211; True for treating input as row vector and repeating
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>layer_attr</strong> (<em>paddle.v2.attr.ExtraAttribute</em>) &#8211; extra layer attributes.</li>
</ul>
</td>
......
因为 它太大了无法显示 source diff 。你可以改为 查看blob
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