Deploy to GitHub Pages: e9166edd

develop/doc/_sources/howto/usage/cmd_parameter/arguments_en.md.txt

@@ -228,16 +228,6 @@ It looks like there are a lot of arguments. However, most of them are for develo
 <td class="left"></td><td class="left"></td><td class="left">√</td><td class="left">√</td>
 </tr>
 
-<tr>
-<td class="left" rowspan = "2">metric learning</td><td class="left">external</td>
-<td class="left">√</td><td class="left">√</td><td class="left">√</td><td class="left">√</td>
-</tr>
-
-<tr>
-<td class="left">data_server_port</td>
-<td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>
-</tr>
-
 <tr>
 <td class="left" rowspan = "16">PServer</td><td class="left">start_pserver</td>
 <td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>

develop/doc/_sources/howto/usage/cmd_parameter/detail_introduction_en.md.txt

@@ -184,15 +184,6 @@
   - Specify shared dynamic library. It can be defined out of paddle by user.
   - type: string (default: "", null).
 
-## Metric Learning
-* `--external`
-   - Whether to use external machine for metric learning.
-   - type: bool (default: 0).
-
-* `--data_server_port`
-  - Listening port for dserver (data server), dserver is mainly used in metric learning.
-  - type: int32 (default: 21134).
-
 ## DataProvider
 
 * `--memory_threshold_on_load_data`

develop/doc/howto/usage/cmd_parameter/arguments_en.html

@@ -351,12 +351,6 @@
 <td class="left">diy_beam_search_prob_so</td>
 <td class="left"></td><td class="left"></td><td class="left">√</td><td class="left">√</td>
 </tr><tr>
-<td class="left" rowspan = "2">metric learning</td><td class="left">external</td>
-<td class="left">√</td><td class="left">√</td><td class="left">√</td><td class="left">√</td>
-</tr><tr>
-<td class="left">data_server_port</td>
-<td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>
-</tr><tr>
 <td class="left" rowspan = "16">PServer</td><td class="left">start_pserver</td>
 <td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>
 </tr><tr>

develop/doc/howto/usage/cmd_parameter/detail_introduction_en.html

@@ -181,7 +181,6 @@
 <li><a class="reference internal" href="#test">Test</a></li>
 <li><a class="reference internal" href="#gpu">GPU</a></li>
 <li><a class="reference internal" href="#nlp-rnn-lstm-gru">NLP: RNN/LSTM/GRU</a></li>
-<li><a class="reference internal" href="#metric-learning">Metric Learning</a></li>
 <li><a class="reference internal" href="#dataprovider">DataProvider</a></li>
 <li><a class="reference internal" href="#unit-test">Unit Test</a></li>
 <li><a class="reference internal" href="#parameter-server-and-distributed-communication">Parameter Server and Distributed Communication</a></li>
@@ -463,21 +462,6 @@
 </li>
 </ul>
 </div>
-<div class="section" id="metric-learning">
-<span id="metric-learning"></span><h2>Metric Learning<a class="headerlink" href="#metric-learning" title="Permalink to this headline">¶</a></h2>
-<ul class="simple">
-<li><code class="docutils literal"><span class="pre">--external</span></code><ul>
-<li>Whether to use external machine for metric learning.</li>
-<li>type: bool (default: 0).</li>
-</ul>
-</li>
-<li><code class="docutils literal"><span class="pre">--data_server_port</span></code><ul>
-<li>Listening port for dserver (data server), dserver is mainly used in metric learning.</li>
-<li>type: int32 (default: 21134).</li>
-</ul>
-</li>
-</ul>
-</div>
 <div class="section" id="dataprovider">
 <span id="dataprovider"></span><h2>DataProvider<a class="headerlink" href="#dataprovider" title="Permalink to this headline">¶</a></h2>
 <ul class="simple">

develop/doc_cn/_sources/howto/usage/cmd_parameter/arguments_cn.md.txt

@@ -228,16 +228,6 @@
 <td class="left"></td><td class="left"></td><td class="left">√</td><td class="left">√</td>
 </tr>
 
-<tr>
-<td class="left" rowspan = "2">度量学习(metric learning)</td><td class="left">external</td>
-<td class="left">√</td><td class="left">√</td><td class="left">√</td><td class="left">√</td>
-</tr>
-
-<tr>
-<td class="left">data_server_port</td>
-<td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>
-</tr>
-
 <tr>
 <td class="left" rowspan = "16">参数服务器(PServer)</td><td class="left">start_pserver</td>
 <td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>

develop/doc_cn/_sources/howto/usage/cmd_parameter/detail_introduction_cn.md.txt

@@ -180,15 +180,6 @@
   - 用户可以自定义beam search的方法，编译成动态库，供PaddlePaddle加载。 该参数用于指定动态库路径.
   - 类型: string (默认: "", null).
 
-## 度量学习(Metric Learning)
-* `--external`
-   - 指示是否使用外部机器进行度量学习.
-   - 类型: bool (默认: 0).
-
-* `--data_server_port`
-  - 数据服务器(data server)的监听端口，主要用在度量学习中.
-  - 类型: int32 (默认: 21134).
-
 ## 数据支持(DataProvider)
 
 * `--memory_threshold_on_load_data`

develop/doc_cn/howto/usage/cmd_parameter/arguments_cn.html

@@ -358,12 +358,6 @@
 <td class="left">diy_beam_search_prob_so</td>
 <td class="left"></td><td class="left"></td><td class="left">√</td><td class="left">√</td>
 </tr><tr>
-<td class="left" rowspan = "2">度量学习(metric learning)</td><td class="left">external</td>
-<td class="left">√</td><td class="left">√</td><td class="left">√</td><td class="left">√</td>
-</tr><tr>
-<td class="left">data_server_port</td>
-<td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>
-</tr><tr>
 <td class="left" rowspan = "16">参数服务器(PServer)</td><td class="left">start_pserver</td>
 <td class="left"></td><td class="left">√</td><td class="left"></td><td class="left">√</td>
 </tr><tr>

develop/doc_cn/howto/usage/cmd_parameter/detail_introduction_cn.html

@@ -188,7 +188,6 @@
 <li><a class="reference internal" href="#">测试</a></li>
 <li><a class="reference internal" href="#gpu">GPU</a></li>
 <li><a class="reference internal" href="#nlp-rnn-lstm-gru">自然语言处理(NLP): RNN/LSTM/GRU</a></li>
-<li><a class="reference internal" href="#metric-learning">度量学习(Metric Learning)</a></li>
 <li><a class="reference internal" href="#dataprovider">数据支持(DataProvider)</a></li>
 <li><a class="reference internal" href="#">单元测试</a></li>
 <li><a class="reference internal" href="#">参数服务器和分布式通信</a></li>
@@ -470,21 +469,6 @@
 </li>
 </ul>
 </div>
-<div class="section" id="metric-learning">
-<span id="metric-learning"></span><h2>度量学习(Metric Learning)<a class="headerlink" href="#metric-learning" title="永久链接至标题">¶</a></h2>
-<ul class="simple">
-<li><code class="docutils literal"><span class="pre">--external</span></code><ul>
-<li>指示是否使用外部机器进行度量学习.</li>
-<li>类型: bool (默认: 0).</li>
-</ul>
-</li>
-<li><code class="docutils literal"><span class="pre">--data_server_port</span></code><ul>
-<li>数据服务器(data server)的监听端口，主要用在度量学习中.</li>
-<li>类型: int32 (默认: 21134).</li>
-</ul>
-</li>
-</ul>
-</div>
 <div class="section" id="dataprovider">
 <span id="dataprovider"></span><h2>数据支持(DataProvider)<a class="headerlink" href="#dataprovider" title="永久链接至标题">¶</a></h2>
 <ul class="simple">