Deploy to GitHub Pages: f0548679

develop/doc/_sources/build_and_install/build_from_source_en.rst.txt

@@ -191,7 +191,7 @@ You can add :code:`-D` argument to pass such options, like:
     "WITH_TESTING", "Build unit tests", "OFF"
     "WITH_DOC", "Build documentations", "OFF"
     "WITH_SWIG_PY", "Build Python SWIG interface for V2 API", "Auto"
-    "WITH_GOLANG", "Build fault-tolerant parameter server written in go", "ON"
+    "WITH_GOLANG", "Build fault-tolerant parameter server written in go", "OFF"
     "WITH_MKL", "Use MKL as BLAS library, else use OpenBLAS", "ON"
 
 

develop/doc/_sources/mobile/cross_compiling_for_android_en.md.txt

@@ -25,6 +25,12 @@ Users can directly use the published Docker image.
 $ docker pull paddlepaddle/paddle:latest-dev-android
 ```
 
+For users in China, we provide a faster mirror.
+
+```bash
+$ docker pull docker.paddlepaddlehub.com/paddle:latest-dev-android
+```
+
 ### Build the Inference Library
 
 We can run the Docker image we just created to build the inference library of PaddlePaddle for Android using the command below:
@@ -86,19 +92,19 @@ Android NDK includes everything we need to build the [*standalone toolchain*](ht
 
 - To build the standalone toolchain for `armeabi-v7a` and Android API level 21:
 
-  ```bash
-  your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \
+```bash
+your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \
         --arch=arm --platform=android-21 --install-dir=your/path/to/arm_standalone_toolchain
-  ```
+```
   
   The generated standalone toolchain will be in `your/path/to/arm_standalone_toolchain`.
 
 - To build the standalone toolchain for `arm64-v8a` and Android API level 21:
 
-  ```bash
-  your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \
+```bash
+your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh \
         --arch=arm64 --platform=android-21 --install-dir=your/path/to/arm64_standalone_toolchain
-  ```
+```
 
   The generated standalone toolchain will be in `your/path/to/arm64_standalone_toolchain`.
 

develop/doc/build_and_install/build_from_source_en.html

@@ -406,7 +406,7 @@ For detailed cmake tutorial please refer to <a class="reference external" href="
 </tr>
 <tr class="row-even"><td>WITH_GOLANG</td>
 <td>Build fault-tolerant parameter server written in go</td>
-<td>ON</td>
+<td>OFF</td>
 </tr>
 <tr class="row-odd"><td>WITH_MKL</td>
 <td>Use MKL as BLAS library, else use OpenBLAS</td>

develop/doc/mobile/cross_compiling_for_android_en.html

@@ -199,6 +199,10 @@ $ docker build -t paddle:dev-android . -f Dockerfile.android
 <div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker pull paddlepaddle/paddle:latest-dev-android
 </pre></div>
 </div>
+<p>For users in China, we provide a faster mirror.</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker pull docker.paddlepaddlehub.com/paddle:latest-dev-android
+</pre></div>
+</div>
 </div>
 <div class="section" id="build-the-inference-library">
 <span id="build-the-inference-library"></span><h3>Build the Inference Library<a class="headerlink" href="#build-the-inference-library" title="Permalink to this headline">¶</a></h3>
@@ -248,22 +252,22 @@ unzip -q android-ndk-r14b-linux-x86_64.zip
 </pre></div>
 </div>
 <p>Android NDK includes everything we need to build the <a class="reference external" href="https://developer.android.com/ndk/guides/standalone_toolchain.html"><em>standalone toolchain</em></a>, which in then used to build PaddlePaddle for Android.  (We plan to remove the intermediate stage of building the standalone toolchain in the near future.)</p>
-<ul>
-<li><p class="first">To build the standalone toolchain for <code class="docutils literal"><span class="pre">armeabi-v7a</span></code> and Android API level 21:</p>
+<ul class="simple">
+<li>To build the standalone toolchain for <code class="docutils literal"><span class="pre">armeabi-v7a</span></code> and Android API level 21:</li>
+</ul>
 <div class="highlight-bash"><div class="highlight"><pre><span></span>your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh <span class="se">\</span>
         --arch<span class="o">=</span>arm --platform<span class="o">=</span>android-21 --install-dir<span class="o">=</span>your/path/to/arm_standalone_toolchain
 </pre></div>
 </div>
 <p>The generated standalone toolchain will be in <code class="docutils literal"><span class="pre">your/path/to/arm_standalone_toolchain</span></code>.</p>
-</li>
-<li><p class="first">To build the standalone toolchain for <code class="docutils literal"><span class="pre">arm64-v8a</span></code> and Android API level 21:</p>
+<ul class="simple">
+<li>To build the standalone toolchain for <code class="docutils literal"><span class="pre">arm64-v8a</span></code> and Android API level 21:</li>
+</ul>
 <div class="highlight-bash"><div class="highlight"><pre><span></span>your/path/to/android-ndk-r14b-linux-x86_64/build/tools/make-standalone-toolchain.sh <span class="se">\</span>
         --arch<span class="o">=</span>arm64 --platform<span class="o">=</span>android-21 --install-dir<span class="o">=</span>your/path/to/arm64_standalone_toolchain
 </pre></div>
 </div>
 <p>The generated standalone toolchain will be in <code class="docutils literal"><span class="pre">your/path/to/arm64_standalone_toolchain</span></code>.</p>
-</li>
-</ul>
 </div>
 <div class="section" id="cross-compiling-arguments">
 <span id="cross-compiling-arguments"></span><h3>Cross-Compiling Arguments<a class="headerlink" href="#cross-compiling-arguments" title="Permalink to this headline">¶</a></h3>

develop/doc_cn/_sources/build_and_install/build_from_source_cn.rst.txt

@@ -189,7 +189,7 @@ PaddlePaddle的编译选项，包括生成CPU/GPU二进制文件、链接何种B
     "WITH_TESTING", "是否开启单元测试", "OFF"
     "WITH_DOC", "是否编译中英文文档", "OFF"
     "WITH_SWIG_PY", "是否编译PYTHON的SWIG接口，该接口可用于预测和定制化训练", "Auto"
-    "WITH_GOLANG", "是否编译go语言的可容错parameter server", "ON"
+    "WITH_GOLANG", "是否编译go语言的可容错parameter server", "OFF"
     "WITH_MKL", "是否使用MKL数学库，如果为否则是用OpenBLAS", "ON"
 
 BLAS

develop/doc_cn/_sources/mobile/cross_compiling_for_android_cn.md.txt

@@ -23,6 +23,12 @@ $ docker build -t username/paddle-android:dev . -f Dockerfile.android
 $ docker pull paddlepaddle/paddle:latest-dev-android
 ```
 
+对于国内用户，我们提供了加速访问的镜像源：
+
+```bash
+$ docker pull docker.paddlepaddlehub.com/paddle:latest-dev-android
+```
+
 ### 编译PaddlePaddle C-API库
 构建好开发镜像后，即可使用开发镜像来编译Android版PaddlePaddle C-API库。
 Android的Docker开发镜像向用户提供两个可配置的参数：
@@ -56,15 +62,15 @@ Android的Docker开发镜像向用户提供两个可配置的参数：
 
 - 编译`armeabi-v7a`，`Android API 21`的PaddlePaddle库
 
-  ```bash
-  $ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=armeabi-v7a" -e "ANDROID_API=21" username/paddle-android:dev
-  ```
+```bash
+$ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=armeabi-v7a" -e "ANDROID_API=21" username/paddle-android:dev
+```
 
 - 编译`arm64-v8a`，`Android API 21`的PaddlePaddle库
 
-  ```bash
-  $ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=arm64-v8a" -e "ANDROID_API=21" username/paddle-android:dev
-  ```
+```bash
+$ docker run -it --rm -v $PWD:/paddle -e "ANDROID_ABI=arm64-v8a" -e "ANDROID_API=21" username/paddle-android:dev
+```
 
 执行上述`docker run`命令时，容器默认执行[paddle/scripts/docker/build_android.sh](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build_android.sh)脚本。该脚本中记录了交叉编译Android版PaddlePaddle库常用的CMake配置，并且会根据`ANDROID_ABI`和`ANDROID_API`自动构建独立工具链、进行编译和安装。由于arm64架构要求Android API不小于21。因此当`ANDROID_ABI=arm64-v8a`，`ANDROID_API<21`时，Docker容器中将默认使用`Android API 21`的编译工具链。用户可以参考下文[配置交叉编译参数](#配置交叉编译参数)章节，根据个人的需求修改定制Docker容器所执行的脚本。编译安装结束之后，PaddlePaddle的C-API库将被安装到`$PWD/install_android`目录，所依赖的第三方库同时也被安装到`$PWD/install_android/third_party`目录。
 
@@ -155,7 +161,11 @@ cmake -DCMAKE_SYSTEM_NAME=Android \
       ..
 ```
 
-用户还可根据自己的需求设置其他编译参数。比如希望最小化生成的库的大小，可以设置`CMAKE_BUILD_TYPE`为`MinSizeRel`；若希望最快的执行速度，则可设置`CMAKE_BUILD_TYPE`为`Release`。亦可以通过手动设置`CMAKE_C/CXX_FLAGS`来影响PaddlePaddle的编译过程。
+用户还可根据自己的需求设置其他编译参数。
+
+- 设置`CMAKE_BUILD_TYPE`为`MinSizeRel`，最小化生成的库的大小。
+- 设置`CMAKE_BUILD_TYPE`为`Release`，获得最快的执行速度，
+- 用户亦可以通过手动设置`CMAKE_C/CXX_FLAGS`来影响PaddlePaddle的编译过程。
 
 **性能TIPS**，为了达到最快的计算速度，在CMake参数配置上，有以下建议：
 

develop/doc_cn/build_and_install/build_from_source_cn.html

@@ -419,7 +419,7 @@ ctest -R test_sum_op -V
 </tr>
 <tr class="row-even"><td>WITH_GOLANG</td>
 <td>是否编译go语言的可容错parameter server</td>
-<td>ON</td>
+<td>OFF</td>
 </tr>
 <tr class="row-odd"><td>WITH_MKL</td>
 <td>是否使用MKL数学库，如果为否则是用OpenBLAS</td>

develop/doc_cn/mobile/cross_compiling_for_android_cn.html

@@ -218,6 +218,10 @@ $ docker build -t username/paddle-android:dev . -f Dockerfile.android
 <div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker pull paddlepaddle/paddle:latest-dev-android
 </pre></div>
 </div>
+<p>对于国内用户，我们提供了加速访问的镜像源：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker pull docker.paddlepaddlehub.com/paddle:latest-dev-android
+</pre></div>
+</div>
 </div>
 <div class="section" id="paddlepaddle-c-api">
 <span id="paddlepaddle-c-api"></span><h3>编译PaddlePaddle C-API库<a class="headerlink" href="#paddlepaddle-c-api" title="永久链接至标题">¶</a></h3>
@@ -248,18 +252,18 @@ Android的Docker开发镜像向用户提供两个可配置的参数：</p>
   <td>21</td>
 </tr>
 </tbody>
-</table><ul>
-<li><p class="first">编译<code class="docutils literal"><span class="pre">armeabi-v7a</span></code>，<code class="docutils literal"><span class="pre">Android</span> <span class="pre">API</span> <span class="pre">21</span></code>的PaddlePaddle库</p>
+</table><ul class="simple">
+<li>编译<code class="docutils literal"><span class="pre">armeabi-v7a</span></code>，<code class="docutils literal"><span class="pre">Android</span> <span class="pre">API</span> <span class="pre">21</span></code>的PaddlePaddle库</li>
+</ul>
 <div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker run -it --rm -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;ANDROID_ABI=armeabi-v7a&quot;</span> -e <span class="s2">&quot;ANDROID_API=21&quot;</span> username/paddle-android:dev
 </pre></div>
 </div>
-</li>
-<li><p class="first">编译<code class="docutils literal"><span class="pre">arm64-v8a</span></code>，<code class="docutils literal"><span class="pre">Android</span> <span class="pre">API</span> <span class="pre">21</span></code>的PaddlePaddle库</p>
+<ul class="simple">
+<li>编译<code class="docutils literal"><span class="pre">arm64-v8a</span></code>，<code class="docutils literal"><span class="pre">Android</span> <span class="pre">API</span> <span class="pre">21</span></code>的PaddlePaddle库</li>
+</ul>
 <div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker run -it --rm -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;ANDROID_ABI=arm64-v8a&quot;</span> -e <span class="s2">&quot;ANDROID_API=21&quot;</span> username/paddle-android:dev
 </pre></div>
 </div>
-</li>
-</ul>
 <p>执行上述<code class="docutils literal"><span class="pre">docker</span> <span class="pre">run</span></code>命令时，容器默认执行<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build_android.sh">paddle/scripts/docker/build_android.sh</a>脚本。该脚本中记录了交叉编译Android版PaddlePaddle库常用的CMake配置，并且会根据<code class="docutils literal"><span class="pre">ANDROID_ABI</span></code>和<code class="docutils literal"><span class="pre">ANDROID_API</span></code>自动构建独立工具链、进行编译和安装。由于arm64架构要求Android API不小于21。因此当<code class="docutils literal"><span class="pre">ANDROID_ABI=arm64-v8a</span></code>，<code class="docutils literal"><span class="pre">ANDROID_API&lt;21</span></code>时，Docker容器中将默认使用<code class="docutils literal"><span class="pre">Android</span> <span class="pre">API</span> <span class="pre">21</span></code>的编译工具链。用户可以参考下文<a class="reference external" href="#配置交叉编译参数">配置交叉编译参数</a>章节，根据个人的需求修改定制Docker容器所执行的脚本。编译安装结束之后，PaddlePaddle的C-API库将被安装到<code class="docutils literal"><span class="pre">$PWD/install_android</span></code>目录，所依赖的第三方库同时也被安装到<code class="docutils literal"><span class="pre">$PWD/install_android/third_party</span></code>目录。</p>
 </div>
 </div>
@@ -349,7 +353,12 @@ unzip -q android-ndk-r14b-linux-x86_64.zip
       <span class="o">..</span>
 </pre></div>
 </div>
-<p>用户还可根据自己的需求设置其他编译参数。比如希望最小化生成的库的大小，可以设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">MinSizeRel</span></code>；若希望最快的执行速度，则可设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">Release</span></code>。亦可以通过手动设置<code class="docutils literal"><span class="pre">CMAKE_C/CXX_FLAGS</span></code>来影响PaddlePaddle的编译过程。</p>
+<p>用户还可根据自己的需求设置其他编译参数。</p>
+<ul class="simple">
+<li>设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">MinSizeRel</span></code>，最小化生成的库的大小。</li>
+<li>设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">Release</span></code>，获得最快的执行速度，</li>
+<li>用户亦可以通过手动设置<code class="docutils literal"><span class="pre">CMAKE_C/CXX_FLAGS</span></code>来影响PaddlePaddle的编译过程。</li>
+</ul>
 <p><strong>性能TIPS</strong>，为了达到最快的计算速度，在CMake参数配置上，有以下建议：</p>
 <ul class="simple">
 <li>设置<code class="docutils literal"><span class="pre">CMAKE_BUILD_TYPE</span></code>为<code class="docutils literal"><span class="pre">Release</span></code></li>