Deploy to GitHub Pages: fb3e7787

020eb299 · Travis CI · a078a08a · 020eb299 · 020eb299 · 020eb299
5 changed file
--- a/develop/doc/_sources/getstarted/build_and_install/build_from_source_en.rst.txt
+++ b/develop/doc/_sources/getstarted/build_and_install/build_from_source_en.rst.txt
@@ -21,7 +21,7 @@ Then run:
   git clone https://github.com/PaddlePaddle/Paddle.git
   cd Paddle
   # run the following command to build a CPU-Only binaries if you are using docker
-   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh
   # else run these commands
   mkdir build
   cd build
@@ -34,7 +34,7 @@ machine or copy it to the target machine.

 .. code-block:: bash

-   pip install python/dist/*.whl
+   pip install build/python/dist/*.whl


 .. _run_test:
@@ -49,7 +49,7 @@ Set :code:`WITH_GPU=ON` Can also run tests on GPU.

 .. code-block:: bash

-   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/paddle/scripts/docker/build.sh

 If you don't use Docker, just run ctest will start the tests:

@@ -117,7 +117,7 @@ You can add :code:`-D` argument to pass such options, like:
    "WITH_PYTHON", "Build with integrated Python interpreter", "ON"
    "WITH_STYLE_CHECK", "Check code style when building", "ON"
    "WITH_TESTING", "Build unit tests", "ON"
-    "WITH_DOC", "Build documentaions", "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_MKL", "Use MKL as BLAS library, else use OpenBLAS", "ON"

--- a/develop/doc/getstarted/build_and_install/build_from_source_en.html
+++ b/develop/doc/getstarted/build_and_install/build_from_source_en.html
@@ -224,7 +224,7 @@ below <a class="reference internal" href="#compile-dependencies">Compile Depende
 <div class="highlight-bash"><div class="highlight"><pre><span></span>git clone https://github.com/PaddlePaddle/Paddle.git
 <span class="nb">cd</span> Paddle
 <span class="c1"># run the following command to build a CPU-Only binaries if you are using docker</span>
-docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=OFF&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=OFF&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh
 <span class="c1"># else run these commands</span>
 mkdir build
 <span class="nb">cd</span> build
@@ -235,7 +235,7 @@ make
 <p>When the compile finishes, you can get the output whl package under
 build/python/dist, then you can choose to install the whl on local
 machine or copy it to the target machine.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install python/dist/*.whl
+<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install build/python/dist/*.whl
 </pre></div>
 </div>
 </div>
@@ -244,7 +244,7 @@ machine or copy it to the target machine.</p>
 <p>If you wish to run the tests, you may follow the below steps:</p>
 <p>When using Docker, set <code class="code docutils literal"><span class="pre">RUN_TEST=ON</span></code> and <code class="code docutils literal"><span class="pre">WITH_TESTING=ON</span></code> will run test immediately after the build.
 Set <code class="code docutils literal"><span class="pre">WITH_GPU=ON</span></code> Can also run tests on GPU.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=ON&quot;</span> -e <span class="s2">&quot;RUN_TEST=ON&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=ON&quot;</span> -e <span class="s2">&quot;RUN_TEST=ON&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/paddle/scripts/docker/build.sh
 </pre></div>
 </div>
 <p>If you don&#8217;t use Docker, just run ctest will start the tests:</p>
@@ -366,7 +366,7 @@ For detailed cmake tutorial please refer to <a class="reference external" href="
 <td>ON</td>
 </tr>
 <tr class="row-even"><td>WITH_DOC</td>
-<td>Build documentaions</td>
+<td>Build documentations</td>
 <td>OFF</td>
 </tr>
 <tr class="row-odd"><td>WITH_SWIG_PY</td>

--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
--- a/develop/doc_cn/_sources/getstarted/build_and_install/build_from_source_cn.rst.txt
+++ b/develop/doc_cn/_sources/getstarted/build_and_install/build_from_source_cn.rst.txt
@@ -19,7 +19,7 @@ PaddlePaddle主要使用 `CMake <https://cmake.org>`_ 以及GCC, G++作为编译
   git clone https://github.com/PaddlePaddle/Paddle.git
   cd Paddle
   # 如果使用Docker编译环境，执行下面的命令编译CPU-Only的二进制
-   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=OFF" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh
   # 如果不使用Docker编译环境，执行下面的命令
   mkdir build
   cd build
@@ -30,7 +30,7 @@ PaddlePaddle主要使用 `CMake <https://cmake.org>`_ 以及GCC, G++作为编译

 .. code-block:: bash

-   pip install python/dist/*.whl
+   pip install build/python/dist/*.whl


 .. _run_test:
@@ -45,7 +45,7 @@ PaddlePaddle主要使用 `CMake <https://cmake.org>`_ 以及GCC, G++作为编译

 .. code-block:: bash

-   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+   docker run -it -v $PWD:/paddle -e "WITH_GPU=OFF" -e "WITH_TESTING=ON" -e "RUN_TEST=ON" paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh

 如果不使用Docker，可以执行ctest命令即可：


--- a/develop/doc_cn/getstarted/build_and_install/build_from_source_cn.html
+++ b/develop/doc_cn/getstarted/build_and_install/build_from_source_cn.html
@@ -223,7 +223,7 @@
 <div class="highlight-bash"><div class="highlight"><pre><span></span>git clone https://github.com/PaddlePaddle/Paddle.git
 <span class="nb">cd</span> Paddle
 <span class="c1"># 如果使用Docker编译环境，执行下面的命令编译CPU-Only的二进制</span>
-docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=OFF&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=OFF&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh
 <span class="c1"># 如果不使用Docker编译环境，执行下面的命令</span>
 mkdir build
 <span class="nb">cd</span> build
@@ -232,7 +232,7 @@ make
 </pre></div>
 </div>
 <p>编译完成后会在build/python/dist目录下生成输出的whl包，可以选在在当前机器安装也可以拷贝到目标机器安装：</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install python/dist/*.whl
+<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install build/python/dist/*.whl
 </pre></div>
 </div>
 </div>
@@ -241,7 +241,7 @@ make
 <p>如果您期望在编译完成后立即执行所有的单元测试，可以按照下面的方法：</p>
 <p>使用Docker的情况下，设置 <code class="code docutils literal"><span class="pre">RUN_TEST=ON</span></code> 和 <code class="code docutils literal"><span class="pre">WITH_TESTING=ON</span></code> 就会在完成编译之后，立即执行单元测试。
 开启 <code class="code docutils literal"><span class="pre">WITH_GPU=ON</span></code> 可以指定同时执行GPU上的单元测试。</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=ON&quot;</span> -e <span class="s2">&quot;RUN_TEST=ON&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x paddle/scripts/docker/build.sh
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -it -v <span class="nv">$PWD</span>:/paddle -e <span class="s2">&quot;WITH_GPU=OFF&quot;</span> -e <span class="s2">&quot;WITH_TESTING=ON&quot;</span> -e <span class="s2">&quot;RUN_TEST=ON&quot;</span> paddlepaddle/paddle_manylinux_devel:cuda8.0_cudnn5 bash -x /paddle/paddle/scripts/docker/build.sh
 </pre></div>
 </div>
 <p>如果不使用Docker，可以执行ctest命令即可：</p>