Deploy to GitHub Pages: 81374eb1

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

@@ -16,7 +16,7 @@
     $ export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
     $ docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu
 
-更多关于Docker的安装与使用, 请参考 `PaddlePaddle Docker 文档 <http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html>`_ 。
+更多关于Docker的安装与使用, 请参考 `PaddlePaddle Docker 文档 <http://www.paddlepaddle.org/docs/0.11.0/documentation/zh/getstarted/build_and_install/docker_install_cn.html>`_ 。
 
 
 2. CMake源码编译, 找到的PythonLibs和PythonInterp版本不一致

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

 FAQ
 ====
 
+本文档对关于PaddlePaddle的一些常见问题提供了解答。如果您的问题未在此处，请您到 `PaddlePaddle社区 <https://github.com/PaddlePaddle/Paddle/issues>`_ 查找答案或直接提 `issue <https://github.com/PaddlePaddle/Paddle/issues/new>`_ ，我们会及时进行回复。
+ 
 ..  toctree::
   :maxdepth: 1
 

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

@@ -148,7 +148,7 @@ Paddle二进制在运行时捕获了浮点数异常，只要出现浮点数异
 
 ..  code-block:: python
 
-optimizer = paddle.optimizer.RMSProp(
+    optimizer = paddle.optimizer.RMSProp(
         learning_rate=1e-3,
         gradient_clipping_threshold=10.0,
         regularization=paddle.optimizer.L2Regularization(rate=8e-4))
@@ -159,7 +159,7 @@ optimizer = paddle.optimizer.RMSProp(
 
 ..  code-block:: python
 
-decoder_inputs = paddle.layer.fc(
+    decoder_inputs = paddle.layer.fc(
         act=paddle.activation.Linear(),
         size=decoder_size * 3,
         bias_attr=False,

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

@@ -196,6 +196,6 @@ PaddlePaddle保存的模型参数文件内容由16字节头信息和网络参数
         obj="process",
         args={"src_dict_path": src_dict_path})
 
-完整源码可参考 `seqToseq <https://github.com/PaddlePaddle/Paddle/tree/develop/demo/seqToseq>`_ 示例。
+完整源码可参考 `sequence_recurrent <https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/gserver/tests/sequence_recurrent.py>`_ 示例。
 
 

develop/doc_cn/faq/build_and_install/index_cn.html

@@ -228,7 +228,7 @@ $ <span class="nb">export</span> <span class="nv">DEVICES</span><span class="o">
 $ docker run <span class="si">${</span><span class="nv">CUDA_SO</span><span class="si">}</span> <span class="si">${</span><span class="nv">DEVICES</span><span class="si">}</span> -it paddlepaddle/paddle:latest-gpu
 </pre></div>
 </div>
-<p>更多关于Docker的安装与使用, 请参考 <a class="reference external" href="http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html">PaddlePaddle Docker 文档</a> 。</p>
+<p>更多关于Docker的安装与使用, 请参考 <a class="reference external" href="http://www.paddlepaddle.org/docs/0.11.0/documentation/zh/getstarted/build_and_install/docker_install_cn.html">PaddlePaddle Docker 文档</a> 。</p>
 </div>
 <div class="section" id="cmake-pythonlibspythoninterp">
 <h2><a class="toc-backref" href="#id4">2. CMake源码编译, 找到的PythonLibs和PythonInterp版本不一致</a><a class="headerlink" href="#cmake-pythonlibspythoninterp" title="永久链接至标题">¶</a></h2>

develop/doc_cn/faq/index_cn.html

@@ -200,6 +200,7 @@
             
   <div class="section" id="faq">
 <h1>FAQ<a class="headerlink" href="#faq" title="永久链接至标题">¶</a></h1>
+<p>本文档对关于PaddlePaddle的一些常见问题提供了解答。如果您的问题未在此处，请您到 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/issues">PaddlePaddle社区</a> 查找答案或直接提 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/issues/new">issue</a> ，我们会及时进行回复。</p>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="build_and_install/index_cn.html">编译安装与单元测试</a></li>

develop/doc_cn/faq/local/index_cn.html

@@ -442,33 +442,25 @@ PaddlePaddle的内存占用主要分为如下几个方面:</p>
 <ol class="arabic simple">
 <li>设置 <code class="code docutils literal"><span class="pre">gradient_clipping_threshold</span></code> 参数，示例代码如下：</li>
 </ol>
-<div class="highlight-python"><div class="highlight"><pre><span></span>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">RMSProp</span><span class="p">(</span>
+    <span class="n">learning_rate</span><span class="o">=</span><span class="mf">1e-3</span><span class="p">,</span>
+    <span class="n">gradient_clipping_threshold</span><span class="o">=</span><span class="mf">10.0</span><span class="p">,</span>
+    <span class="n">regularization</span><span class="o">=</span><span class="n">paddle</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">L2Regularization</span><span class="p">(</span><span class="n">rate</span><span class="o">=</span><span class="mf">8e-4</span><span class="p">))</span>
 </pre></div>
 </div>
-<dl class="docutils">
-<dt>optimizer = paddle.optimizer.RMSProp(</dt>
-<dd>learning_rate=1e-3,
-gradient_clipping_threshold=10.0,
-regularization=paddle.optimizer.L2Regularization(rate=8e-4))</dd>
-</dl>
 <p>具体可以参考  <a class="reference external" href="https://github.com/PaddlePaddle/models/blob/develop/nmt_without_attention/train.py#L35">nmt_without_attention</a> 示例。</p>
 <ol class="arabic simple" start="2">
 <li>设置 <code class="code docutils literal"><span class="pre">error_clipping_threshold</span></code> 参数，示例代码如下：</li>
 </ol>
-<div class="highlight-python"><div class="highlight"><pre><span></span>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">decoder_inputs</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">layer</span><span class="o">.</span><span class="n">fc</span><span class="p">(</span>
+    <span class="n">act</span><span class="o">=</span><span class="n">paddle</span><span class="o">.</span><span class="n">activation</span><span class="o">.</span><span class="n">Linear</span><span class="p">(),</span>
+    <span class="n">size</span><span class="o">=</span><span class="n">decoder_size</span> <span class="o">*</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="n">bias_attr</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
+    <span class="nb">input</span><span class="o">=</span><span class="p">[</span><span class="n">context</span><span class="p">,</span> <span class="n">current_word</span><span class="p">],</span>
+    <span class="n">layer_attr</span><span class="o">=</span><span class="n">paddle</span><span class="o">.</span><span class="n">attr</span><span class="o">.</span><span class="n">ExtraLayerAttribute</span><span class="p">(</span>
+        <span class="n">error_clipping_threshold</span><span class="o">=</span><span class="mf">100.0</span><span class="p">))</span>
 </pre></div>
 </div>
-<dl class="docutils">
-<dt>decoder_inputs = paddle.layer.fc(</dt>
-<dd><p class="first">act=paddle.activation.Linear(),
-size=decoder_size * 3,
-bias_attr=False,
-input=[context, current_word],
-layer_attr=paddle.attr.ExtraLayerAttribute(</p>
-<blockquote class="last">
-<div>error_clipping_threshold=100.0))</div></blockquote>
-</dd>
-</dl>
 <p>完整代码可以参考示例 <a class="reference external" href="https://github.com/PaddlePaddle/book/blob/develop/08.machine_translation/train.py#L66">machine translation</a> 。</p>
 <p>两种方法的区别：</p>
 <ol class="arabic simple">

develop/doc_cn/faq/parameter/index_cn.html

@@ -371,7 +371,7 @@ F1205 <span class="m">14</span>:59:50.295174 <span class="m">14703</span> Traine
    <span class="n">args</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;src_dict_path&quot;</span><span class="p">:</span> <span class="n">src_dict_path</span><span class="p">})</span>
 </pre></div>
 </div>
-<p>完整源码可参考 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/tree/develop/demo/seqToseq">seqToseq</a> 示例。</p>
+<p>完整源码可参考 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/gserver/tests/sequence_recurrent.py">sequence_recurrent</a> 示例。</p>
 </div>
 </div>