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-安装PaddlePaddle的Docker镜像
-============================
+PaddlePaddle的Docker容器使用方式
+================================
 
-PaddlePaddle项目提供官方 `Docker <https://www.docker.com/>`_ 镜像。Docker镜像是我们目前唯一官方支持的部署和运行方式。
+PaddlePaddle目前唯一官方支持的运行的方式是Docker容器。因为Docker能在所有主要操作系统（包括Linux，Mac OS X和Windows）上运行。 请注意，您需要更改 `Dockers设置 <https://github.com/PaddlePaddle/Paddle/issues/627>`_ 才能充分利用Mac OS X和Windows上的硬件资源。
 
-下述内容将分为如下几个类别描述。
 
-* PaddlePaddle提供的Docker镜像版本
-* 下载和运行Docker镜像
-* 注意事项
+通过Docker容器开发PaddlePaddle
+------------------------------
 
-PaddlePaddle提供的Docker镜像版本
---------------------------------
+开发人员可以在Docker中开发PaddlePaddle。这样开发人员可以以一致的方式在不同的平台上工作 - Linux，Mac OS X和Windows。
 
-我们提供了12个 `Docker image <https://hub.docker.com/r/paddledev/paddle/tags/>`_ ，他们的image name都是 :code:`paddledev/paddle` ，tag分别为
+1. 将开发环境构建为Docker镜像
    
-+-----------------+------------------+------------------------+-----------------------+
-|                 |   normal         |           devel        |          demo         |
-+=================+==================+========================+=======================+
-|       CPU       | cpu-latest       | cpu-devel-latest       | cpu-demo-latest       |
-+-----------------+------------------+------------------------+-----------------------+
-|       GPU       | gpu-latest       | gpu-devel-latest       | gpu-demo-latest       |
-+-----------------+------------------+------------------------+-----------------------+
-| CPU WITHOUT AVX | cpu-noavx-latest | cpu-noavx-devel-latest | cpu-noavx-demo-latest |
-+-----------------+------------------+------------------------+-----------------------+
-| GPU WITHOUT AVX | gpu-noavx-latest | gpu-noavx-devel-latest | gpu-noavx-demo-latest |
-+-----------------+------------------+------------------------+-----------------------+
+   .. code-block:: bash
 
-其中，横向包括三个版本，normal，devel和demo。
+      git clone --recursive https://github.com/PaddlePaddle/Paddle
+      cd Paddle
+      docker build -t paddle:dev -f paddle/scripts/docker/Dockerfile .
 
-* Normal: 正常的Docker image，只包括paddle的二进制
-* Devel: 包括Paddle的二进制、编译环境和源代码
-* Demo: 包括Paddle运行demo所需要的依赖
 
-纵向包括四个版本，他们是。
+   请注意，默认情况下，:code:`docker build` 不会将源码导入到镜像中并编译它。如果我们想这样做，需要设置一个参数：
 
-* CPU: CPU版本。需要支持AVX指令集的CPU
-* GPU: GPU版本。需要支持AVX指令集的CPU
-* CPU WITHOUT AVX: CPU版本，不支持AVX指令集的CPU也可以运行
-* GPU WITHOUT AVX: GPU版本，不需要AVX指令集的CPU也可以运行。
+   .. code-block:: bash
 
-用户可以选择对应版本的docker image。使用如下脚本可以确定本机的CPU是否支持 :code:`AVX` 指令集\:
+      docker build -t paddle:dev -f paddle/scripts/docker/Dockerfile --build-arg BUILD_AND_INSTALL=ON .
 
-..  code-block:: bash
 
-    if cat /proc/cpuinfo | grep -q avx ; then echo "Support AVX"; else echo "Not support AVX"; fi
+2. 运行开发环境
+
+   当我们编译好了 :code:`paddle:dev`， 我们可以在docker容器里做开发，源代码可以通过挂载本地文件来被载入Docker的开发环境里面：
+   
+   .. code-block:: bash
+
+      docker run -d -p 2202:22 -v $PWD:/paddle paddle:dev
+
+   以上代码会启动一个带有PaddlePaddle开发环境的docker容器，源代码会被挂载到 :code:`/paddle` 。
+
+   请注意， :code:`paddle:dev` 的默认入口是 :code:`sshd` 。以上的 :code:`docker run` 命令其实会启动一个在2202端口监听的SSHD服务器。这样，我们就能SSH进入我们的开发容器了：
+   
+   .. code-block:: bash
+
+      ssh root@localhost -p 2202
+
+3. 在Docker开发环境中编译与安装PaddlPaddle代码
 
-如果输出 :code:`Support AVX`，则可以选择上表中的AVX版本PaddlePaddle。否则需要选择非AVX的PaddlePaddle。选择普通CPU版本的devel版本的image，则可以使用 :code:`paddledev/paddle:cpu-devel-latest` 来引用这个image。
+   当在容器里面的时候，可以用脚本 :code:`paddle/scripts/docker/build.sh` 来编译、安装与测试PaddlePaddle：
    
-PaddlePaddle提供的镜像并不包含任何命令运行，想要运行PaddlePaddle，您需要进入镜像运行PaddlePaddle
-程序或者自定义一个含有启动脚本的image。具体请参考注意事项中的 :code:`使用ssh访问PaddlePaddle镜像`
+   .. code-block:: bash
 		      
-下载和运行Docker镜像
---------------------
+      /paddle/paddle/scripts/docker/build.sh
 
-为了运行PaddlePaddle的docker镜像，您需要在机器中安装好Docker。安装Docker需要您的机器
-至少具有3.10以上的linux kernel。安装方法请参考
-`Docker的官方文档 <https://docs.docker.com/engine/installation/>`_ 。如果您使用
-mac osx或者是windows机器，请参考 
-`mac osx的安装文档 <https://docs.docker.com/engine/installation/mac/>`_ 和
-`windows 的安装文档 <https://docs.docker.com/engine/installation/windows/>`_ 。
+   以上指令会在 :code:`/paddle/build` 中编译PaddlePaddle。通过以下指令可以运行单元测试：
    
-您可以使用 :code:`docker pull` 命令预先下载镜像，也可以直接执行 
-:code:`docker run` 命令运行镜像。执行方法如下:
+   .. code-block:: bash
+
+      cd /paddle/build
+      ctest
+
+
+纯CPU和GPU的docker镜像
+----------------------
+
+对于每一个PaddlePaddle版本，我们都会发布两个Docker镜像：纯CPU的和GPU的。我们通过设置 `dockerhub.com <https://hub.docker.com/r/paddledev/paddle/>`_ 自动运行以下两个命令：
 
 .. code-block:: bash
 
-    $ docker run -it paddledev/paddle:cpu-latest
+   docker build -t paddle:cpu -f paddle/scripts/docker/Dockerfile .
+   docker build -t paddle:gpu -f paddle/scripts/docker/Dockerfile.gpu .
 
-即可启动和进入PaddlePaddle的container。如果运行GPU版本的PaddlePaddle，则需要先将
-cuda相关的Driver和设备映射进container中，脚本类似于
+以交互容器方式运行纯CPU的镜像：
 
 .. code-block:: bash
 
-    $ export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')"
-    $ export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
-    $ docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:gpu-latest
+    docker run -it --rm paddledev/paddle:cpu-latest /bin/bash
 
-进入Docker container后，运行 :code:`paddle version` 即可打印出PaddlePaddle的版本和构建
-信息。安装完成的PaddlePaddle主体包括三个部分， :code:`paddle` 脚本， python的
-:code:`paddle` 包和 :code:`py_paddle` 包。其中\:
+或者，可以以后台进程方式运行容器：
 
-* :code:`paddle` 脚本和 :code:`paddle` 的python包是PaddlePaddle的训练主要程序。使用 
-  :code:`paddle` 脚本可以启动PaddlePaddle的训练进程和pserver。而 :code:`paddle` 脚本
-  中的二进制使用了 :code:`paddle` 的python包来做配置文件解析等工作。
-* python包 :code:`py_paddle` 是一个swig封装的PaddlePaddle包，用来做预测和简单的定制化
-  训练。
+.. code-block:: bash
 
-注意事项
---------
+    docker run -d -p 2202:22 paddledev/paddle:cpu-latest
 
-性能问题
-++++++++
+然后用密码 :code:`root` SSH进入容器：
 
-由于Docker是基于容器的轻量化虚拟方案，所以在CPU的运算性能上并不会有严重的影响。
-而GPU的驱动和设备全部映射到了容器内，所以GPU在运算性能上也不会有严重的影响。
+.. code-block:: bash
 
-但是如果使用了高性能的网卡，例如RDMA网卡(RoCE 40GbE 或者 IB 56GbE)，或者高性能的
-以太网卡 (10GbE)。推荐使用将本地网卡，即 "--net=host" 来进行训练。而不使用docker
-的网桥来进行网络通信。
+    ssh -p 2202 root@localhost
 
-远程访问问题和二次开发
-++++++++++++++++++++++
+SSH方式的一个优点是我们可以从多个终端进入容器。比如，一个终端运行vi，另一个终端运行Python。另一个好处是我们可以把PaddlePaddle容器运行在远程服务器上，并在笔记本上通过SSH与其连接。
 
-由于PaddlePaddle的Docker镜像并不包含任何预定义的运行命令。所以如果想要在后台启用ssh
-远程访问，则需要进行一定的二次开发，将ssh装入系统内并开启远程访问。二次开发可以
-使用Dockerfile构建一个全新的docker image。需要参考 
-`Dockerfile的文档 <https://docs.docker.com/engine/reference/builder/>`_ 和
-`Dockerfile的最佳实践 <https://docs.docker.com/engine/userguide/eng-image/dockerfile_best-practices/>`_ 
-两个文档。
 
-简单的含有ssh的Dockerfile如下：
+以上方法在GPU镜像里也能用－只是请不要忘记按装CUDA驱动，以及告诉Docker：
 
 .. code-block:: bash
 
-    FROM paddledev/paddle:cpu-latest
+    export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')"
+    export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
+    docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:gpu-latest
 
-    MAINTAINER PaddlePaddle dev team <paddle-dev@baidu.com>
 
-    RUN apt-get update
-    RUN apt-get install -y openssh-server
-    RUN mkdir /var/run/sshd
-    RUN echo 'root:root' | chpasswd
+非AVX镜像
+---------
 
-    RUN sed -ri 's/^PermitRootLogin\s+.*/PermitRootLogin yes/' /etc/ssh/sshd_config
-    RUN sed -ri 's/UsePAM yes/#UsePAM yes/g' /etc/ssh/sshd_config
+纯CPU镜像以及GPU镜像都会用到AVX指令集，但是2008年之前生产的旧电脑不支持AVX。以下指令能检查Linux电脑是否支持AVX：
 
-    EXPOSE 22
 
-    CMD    ["/usr/sbin/sshd", "-D"]
+.. code-block:: bash
 
+   if cat /proc/cpuinfo | grep -i avx; then echo Yes; else echo No; fi
 
-使用该Dockerfile构建出镜像，然后运行这个container即可。相关命令为\:
+如果输出是No，我们就需要手动编译一个非AVX版本的镜像：
 
 .. code-block:: bash
 
-    # cd到含有Dockerfile的路径中
-    $ docker build . -t paddle_ssh
-    # 运行这个container，将宿主机的8022端口映射到container的22端口上
-    $ docker run -d -p 8022:22  --name paddle_ssh_machine paddle_ssh
+   cd ~
+   git clone https://github.com/PaddlePaddle/Paddle.git
+   cd Paddle
+   docker build --build-arg WITH_AVX=OFF -t paddle:cpu-noavx -f paddle/scripts/docker/Dockerfile .
+   docker build --build-arg WITH_AVX=OFF -t paddle:gpu-noavx -f paddle/scripts/docker/Dockerfile.gpu .
 
-执行如下命令即可以关闭这个container，并且删除container中的数据\:
 
-..  code-block:: bash
+文档
+----
 
-    # 关闭container
-    $ docker stop paddle_ssh_machine
-    # 删除container
-    $ docker rm paddle_ssh_machine
+Paddle的Docker镜像带有一个通过 `woboq code browser
+<https://github.com/woboq/woboq_codebrowser>`_ 生成的HTML版本的C++源代码，便于用户浏览C++源码。
 
-如果想要在外部机器访问这个container，即可以使用ssh访问宿主机的8022端口。用户名为
-root，密码也是root。命令为\:
+只要在Docker里启动PaddlePaddle的时候给它一个名字，就可以再运行另一个Nginx Docker镜像来服务HTML代码：
 
 .. code-block:: bash
 
-    $ ssh -p 8022 root@YOUR_HOST_MACHINE
+   docker run -d --name paddle-cpu-doc paddle:cpu
+   docker run -d --volumes-from paddle-cpu-doc -p 8088:80 nginx
 
-至此，您就可以远程的使用PaddlePaddle啦。
+接着我们就能够打开浏览器在 http://localhost:8088/paddle/ 浏览代码。

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           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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 <li class="toctree-l2"><a class="reference internal" href="../../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/api/v1/trainer_config_helpers/layers.html

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           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/api/v1/trainer_config_helpers/networks.html

@@ -112,7 +112,7 @@
           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/api/v1/trainer_config_helpers/optimizers.html

@@ -112,7 +112,7 @@
           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/api/v1/trainer_config_helpers/poolings.html

@@ -112,7 +112,7 @@
           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/api/v2/data.html

@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/api/v2/model_configs.html

@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

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@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/design/api.html

@@ -112,7 +112,7 @@
           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/design/reader/README.html

@@ -112,7 +112,7 @@
           <ul>
 <li class="toctree-l1"><a class="reference internal" href="../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/faq/index_cn.html

@@ -113,7 +113,7 @@
           <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/genindex.html

@@ -113,7 +113,7 @@
           <ul>
 <li class="toctree-l1"><a class="reference internal" href="getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/getstarted/basic_usage/index_cn.html

@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1 current"><a class="reference internal" href="../index_cn.html">新手入门</a><ul class="current">
 <li class="toctree-l2"><a class="reference internal" href="../build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.html

@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1 current"><a class="reference internal" href="../../index_cn.html">新手入门</a><ul class="current">
 <li class="toctree-l2 current"><a class="reference internal" href="../index_cn.html">安装与编译</a><ul class="current">
-<li class="toctree-l3"><a class="reference internal" href="../docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/getstarted/build_and_install/docker_install_cn.html

@@ -8,7 +8,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>安装PaddlePaddle的Docker镜像 &mdash; PaddlePaddle  文档</title>
+  <title>PaddlePaddle的Docker容器使用方式 &mdash; PaddlePaddle  文档</title>
   
 
   
@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1 current"><a class="reference internal" href="../index_cn.html">新手入门</a><ul class="current">
 <li class="toctree-l2 current"><a class="reference internal" href="index_cn.html">安装与编译</a><ul class="current">
-<li class="toctree-l3 current"><a class="current reference internal" href="#">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>
@@ -174,14 +174,11 @@
     </nav>
     
     <nav class="local-toc"><ul>
-<li><a class="reference internal" href="#">安装PaddlePaddle的Docker镜像</a><ul>
-<li><a class="reference internal" href="#id1">PaddlePaddle提供的Docker镜像版本</a></li>
-<li><a class="reference internal" href="#id2">下载和运行Docker镜像</a></li>
-<li><a class="reference internal" href="#id4">注意事项</a><ul>
-<li><a class="reference internal" href="#id5">性能问题</a></li>
-<li><a class="reference internal" href="#id6">远程访问问题和二次开发</a></li>
-</ul>
-</li>
+<li><a class="reference internal" href="#">PaddlePaddle的Docker容器使用方式</a><ul>
+<li><a class="reference internal" href="#dockerpaddlepaddle">通过Docker容器开发PaddlePaddle</a></li>
+<li><a class="reference internal" href="#cpugpudocker">纯CPU和GPU的docker镜像</a></li>
+<li><a class="reference internal" href="#avx">非AVX镜像</a></li>
+<li><a class="reference internal" href="#id1">文档</a></li>
 </ul>
 </li>
 </ul>
@@ -206,7 +203,7 @@
       
         <li><a href="index_cn.html">安装与编译</a> > </li>
       
-    <li>安装PaddlePaddle的Docker镜像</li>
+    <li>PaddlePaddle的Docker容器使用方式</li>
   </ul>
 </div>
       
@@ -216,163 +213,98 @@
            <div itemprop="articleBody">
             
   <div class="section" id="paddlepaddledocker">
-<h1>安装PaddlePaddle的Docker镜像<a class="headerlink" href="#paddlepaddledocker" title="永久链接至标题">¶</a></h1>
-<p>PaddlePaddle项目提供官方 <a class="reference external" href="https://www.docker.com/">Docker</a> 镜像。Docker镜像是我们目前唯一官方支持的部署和运行方式。</p>
-<p>下述内容将分为如下几个类别描述。</p>
-<ul class="simple">
-<li>PaddlePaddle提供的Docker镜像版本</li>
-<li>下载和运行Docker镜像</li>
-<li>注意事项</li>
-</ul>
-<div class="section" id="id1">
-<h2>PaddlePaddle提供的Docker镜像版本<a class="headerlink" href="#id1" title="永久链接至标题">¶</a></h2>
-<p>我们提供了12个 <a class="reference external" href="https://hub.docker.com/r/paddledev/paddle/tags/">Docker image</a> ，他们的image name都是 <code class="code docutils literal"><span class="pre">paddledev/paddle</span></code> ，tag分别为</p>
-<table border="1" class="docutils">
-<colgroup>
-<col width="21%" />
-<col width="22%" />
-<col width="29%" />
-<col width="28%" />
-</colgroup>
-<thead valign="bottom">
-<tr class="row-odd"><th class="head">&#160;</th>
-<th class="head">normal</th>
-<th class="head">devel</th>
-<th class="head">demo</th>
-</tr>
-</thead>
-<tbody valign="top">
-<tr class="row-even"><td>CPU</td>
-<td>cpu-latest</td>
-<td>cpu-devel-latest</td>
-<td>cpu-demo-latest</td>
-</tr>
-<tr class="row-odd"><td>GPU</td>
-<td>gpu-latest</td>
-<td>gpu-devel-latest</td>
-<td>gpu-demo-latest</td>
-</tr>
-<tr class="row-even"><td>CPU WITHOUT AVX</td>
-<td>cpu-noavx-latest</td>
-<td>cpu-noavx-devel-latest</td>
-<td>cpu-noavx-demo-latest</td>
-</tr>
-<tr class="row-odd"><td>GPU WITHOUT AVX</td>
-<td>gpu-noavx-latest</td>
-<td>gpu-noavx-devel-latest</td>
-<td>gpu-noavx-demo-latest</td>
-</tr>
-</tbody>
-</table>
-<p>其中，横向包括三个版本，normal，devel和demo。</p>
-<ul class="simple">
-<li>Normal: 正常的Docker image，只包括paddle的二进制</li>
-<li>Devel: 包括Paddle的二进制、编译环境和源代码</li>
-<li>Demo: 包括Paddle运行demo所需要的依赖</li>
-</ul>
-<p>纵向包括四个版本，他们是。</p>
-<ul class="simple">
-<li>CPU: CPU版本。需要支持AVX指令集的CPU</li>
-<li>GPU: GPU版本。需要支持AVX指令集的CPU</li>
-<li>CPU WITHOUT AVX: CPU版本，不支持AVX指令集的CPU也可以运行</li>
-<li>GPU WITHOUT AVX: GPU版本，不需要AVX指令集的CPU也可以运行。</li>
-</ul>
-<p>用户可以选择对应版本的docker image。使用如下脚本可以确定本机的CPU是否支持 <code class="code docutils literal"><span class="pre">AVX</span></code> 指令集:</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="k">if</span> cat /proc/cpuinfo <span class="p">|</span> grep -q avx <span class="p">;</span> <span class="k">then</span> <span class="nb">echo</span> <span class="s2">&quot;Support AVX&quot;</span><span class="p">;</span> <span class="k">else</span> <span class="nb">echo</span> <span class="s2">&quot;Not support AVX&quot;</span><span class="p">;</span> <span class="k">fi</span>
+<h1>PaddlePaddle的Docker容器使用方式<a class="headerlink" href="#paddlepaddledocker" title="永久链接至标题">¶</a></h1>
+<p>PaddlePaddle目前唯一官方支持的运行的方式是Docker容器。因为Docker能在所有主要操作系统（包括Linux，Mac OS X和Windows）上运行。 请注意，您需要更改 <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/issues/627">Dockers设置</a> 才能充分利用Mac OS X和Windows上的硬件资源。</p>
+<div class="section" id="dockerpaddlepaddle">
+<h2>通过Docker容器开发PaddlePaddle<a class="headerlink" href="#dockerpaddlepaddle" title="永久链接至标题">¶</a></h2>
+<p>开发人员可以在Docker中开发PaddlePaddle。这样开发人员可以以一致的方式在不同的平台上工作 - Linux，Mac OS X和Windows。</p>
+<ol class="arabic">
+<li><p class="first">将开发环境构建为Docker镜像</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>git clone --recursive https://github.com/PaddlePaddle/Paddle
+<span class="nb">cd</span> Paddle
+docker build -t paddle:dev -f paddle/scripts/docker/Dockerfile .
 </pre></div>
 </div>
-<p>如果输出 <code class="code docutils literal"><span class="pre">Support</span> <span class="pre">AVX</span></code>，则可以选择上表中的AVX版本PaddlePaddle。否则需要选择非AVX的PaddlePaddle。选择普通CPU版本的devel版本的image，则可以使用 <code class="code docutils literal"><span class="pre">paddledev/paddle:cpu-devel-latest</span></code> 来引用这个image。</p>
-<p>PaddlePaddle提供的镜像并不包含任何命令运行，想要运行PaddlePaddle，您需要进入镜像运行PaddlePaddle
-程序或者自定义一个含有启动脚本的image。具体请参考注意事项中的 <code class="code docutils literal"><span class="pre">使用ssh访问PaddlePaddle镜像</span></code></p>
+<p>请注意，默认情况下，<code class="code docutils literal"><span class="pre">docker</span> <span class="pre">build</span></code> 不会将源码导入到镜像中并编译它。如果我们想这样做，需要设置一个参数：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker build -t paddle:dev -f paddle/scripts/docker/Dockerfile --build-arg <span class="nv">BUILD_AND_INSTALL</span><span class="o">=</span>ON .
+</pre></div>
 </div>
-<div class="section" id="id2">
-<h2>下载和运行Docker镜像<a class="headerlink" href="#id2" title="永久链接至标题">¶</a></h2>
-<p>为了运行PaddlePaddle的docker镜像，您需要在机器中安装好Docker。安装Docker需要您的机器
-至少具有3.10以上的linux kernel。安装方法请参考
-<a class="reference external" href="https://docs.docker.com/engine/installation/">Docker的官方文档</a> 。如果您使用
-mac osx或者是windows机器，请参考
-<a class="reference external" href="https://docs.docker.com/engine/installation/mac/">mac osx的安装文档</a> 和
-<a class="reference external" href="https://docs.docker.com/engine/installation/windows/">windows 的安装文档</a> 。</p>
-<p>您可以使用 <code class="code docutils literal"><span class="pre">docker</span> <span class="pre">pull</span></code> 命令预先下载镜像，也可以直接执行
-<code class="code docutils literal"><span class="pre">docker</span> <span class="pre">run</span></code> 命令运行镜像。执行方法如下:</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ docker run -it paddledev/paddle:cpu-latest
+</li>
+<li><p class="first">运行开发环境</p>
+<p>当我们编译好了 <code class="code docutils literal"><span class="pre">paddle:dev</span></code>， 我们可以在docker容器里做开发，源代码可以通过挂载本地文件来被载入Docker的开发环境里面：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -d -p <span class="m">2202</span>:22 -v <span class="nv">$PWD</span>:/paddle paddle:dev
 </pre></div>
 </div>
-<p>即可启动和进入PaddlePaddle的container。如果运行GPU版本的PaddlePaddle，则需要先将
-cuda相关的Driver和设备映射进container中，脚本类似于</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ <span class="nb">export</span> <span class="nv">CUDA_SO</span><span class="o">=</span><span class="s2">&quot;</span><span class="k">$(</span><span class="se">\l</span>s /usr/lib64/libcuda* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;-v {}:{}&#39;</span><span class="k">)</span><span class="s2"> </span><span class="k">$(</span><span class="se">\l</span>s /usr/lib64/libnvidia* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;-v {}:{}&#39;</span><span class="k">)</span><span class="s2">&quot;</span>
-$ <span class="nb">export</span> <span class="nv">DEVICES</span><span class="o">=</span><span class="k">$(</span><span class="se">\l</span>s /dev/nvidia* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;--device {}:{}&#39;</span><span class="k">)</span>
-$ 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 paddledev/paddle:gpu-latest
+<p>以上代码会启动一个带有PaddlePaddle开发环境的docker容器，源代码会被挂载到 <code class="code docutils literal"><span class="pre">/paddle</span></code> 。</p>
+<p>请注意， <code class="code docutils literal"><span class="pre">paddle:dev</span></code> 的默认入口是 <code class="code docutils literal"><span class="pre">sshd</span></code> 。以上的 <code class="code docutils literal"><span class="pre">docker</span> <span class="pre">run</span></code> 命令其实会启动一个在2202端口监听的SSHD服务器。这样，我们就能SSH进入我们的开发容器了：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>ssh root@localhost -p <span class="m">2202</span>
 </pre></div>
 </div>
-<p>进入Docker container后，运行 <code class="code docutils literal"><span class="pre">paddle</span> <span class="pre">version</span></code> 即可打印出PaddlePaddle的版本和构建
-信息。安装完成的PaddlePaddle主体包括三个部分， <code class="code docutils literal"><span class="pre">paddle</span></code> 脚本， python的
-<code class="code docutils literal"><span class="pre">paddle</span></code> 包和 <code class="code docutils literal"><span class="pre">py_paddle</span></code> 包。其中:</p>
-<ul class="simple">
-<li><code class="code docutils literal"><span class="pre">paddle</span></code> 脚本和 <code class="code docutils literal"><span class="pre">paddle</span></code> 的python包是PaddlePaddle的训练主要程序。使用
-<code class="code docutils literal"><span class="pre">paddle</span></code> 脚本可以启动PaddlePaddle的训练进程和pserver。而 <code class="code docutils literal"><span class="pre">paddle</span></code> 脚本
-中的二进制使用了 <code class="code docutils literal"><span class="pre">paddle</span></code> 的python包来做配置文件解析等工作。</li>
-<li>python包 <code class="code docutils literal"><span class="pre">py_paddle</span></code> 是一个swig封装的PaddlePaddle包，用来做预测和简单的定制化
-训练。</li>
-</ul>
+</li>
+<li><p class="first">在Docker开发环境中编译与安装PaddlPaddle代码</p>
+<p>当在容器里面的时候，可以用脚本 <code class="code docutils literal"><span class="pre">paddle/scripts/docker/build.sh</span></code> 来编译、安装与测试PaddlePaddle：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>/paddle/paddle/scripts/docker/build.sh
+</pre></div>
+</div>
+<p>以上指令会在 <code class="code docutils literal"><span class="pre">/paddle/build</span></code> 中编译PaddlePaddle。通过以下指令可以运行单元测试：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="nb">cd</span> /paddle/build
+ctest
+</pre></div>
+</div>
+</li>
+</ol>
+</div>
+<div class="section" id="cpugpudocker">
+<h2>纯CPU和GPU的docker镜像<a class="headerlink" href="#cpugpudocker" title="永久链接至标题">¶</a></h2>
+<p>对于每一个PaddlePaddle版本，我们都会发布两个Docker镜像：纯CPU的和GPU的。我们通过设置 <a class="reference external" href="https://hub.docker.com/r/paddledev/paddle/">dockerhub.com</a> 自动运行以下两个命令：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker build -t paddle:cpu -f paddle/scripts/docker/Dockerfile .
+docker build -t paddle:gpu -f paddle/scripts/docker/Dockerfile.gpu .
+</pre></div>
+</div>
+<p>以交互容器方式运行纯CPU的镜像：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -it --rm paddledev/paddle:cpu-latest /bin/bash
+</pre></div>
 </div>
-<div class="section" id="id4">
-<h2>注意事项<a class="headerlink" href="#id4" title="永久链接至标题">¶</a></h2>
-<div class="section" id="id5">
-<h3>性能问题<a class="headerlink" href="#id5" title="永久链接至标题">¶</a></h3>
-<p>由于Docker是基于容器的轻量化虚拟方案，所以在CPU的运算性能上并不会有严重的影响。
-而GPU的驱动和设备全部映射到了容器内，所以GPU在运算性能上也不会有严重的影响。</p>
-<p>但是如果使用了高性能的网卡，例如RDMA网卡(RoCE 40GbE 或者 IB 56GbE)，或者高性能的
-以太网卡 (10GbE)。推荐使用将本地网卡，即 &#8220;&#8211;net=host&#8221; 来进行训练。而不使用docker
-的网桥来进行网络通信。</p>
+<p>或者，可以以后台进程方式运行容器：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -d -p <span class="m">2202</span>:22 paddledev/paddle:cpu-latest
+</pre></div>
 </div>
-<div class="section" id="id6">
-<h3>远程访问问题和二次开发<a class="headerlink" href="#id6" title="永久链接至标题">¶</a></h3>
-<p>由于PaddlePaddle的Docker镜像并不包含任何预定义的运行命令。所以如果想要在后台启用ssh
-远程访问，则需要进行一定的二次开发，将ssh装入系统内并开启远程访问。二次开发可以
-使用Dockerfile构建一个全新的docker image。需要参考
-<a class="reference external" href="https://docs.docker.com/engine/reference/builder/">Dockerfile的文档</a> 和
-<a class="reference external" href="https://docs.docker.com/engine/userguide/eng-image/dockerfile_best-practices/">Dockerfile的最佳实践</a>
-两个文档。</p>
-<p>简单的含有ssh的Dockerfile如下：</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>FROM paddledev/paddle:cpu-latest
-
-MAINTAINER PaddlePaddle dev team &lt;paddle-dev@baidu.com&gt;
-
-RUN apt-get update
-RUN apt-get install -y openssh-server
-RUN mkdir /var/run/sshd
-RUN <span class="nb">echo</span> <span class="s1">&#39;root:root&#39;</span> <span class="p">|</span> chpasswd
-
-RUN sed -ri <span class="s1">&#39;s/^PermitRootLogin\s+.*/PermitRootLogin yes/&#39;</span> /etc/ssh/sshd_config
-RUN sed -ri <span class="s1">&#39;s/UsePAM yes/#UsePAM yes/g&#39;</span> /etc/ssh/sshd_config
-
-EXPOSE <span class="m">22</span>
-
-CMD    <span class="o">[</span><span class="s2">&quot;/usr/sbin/sshd&quot;</span>, <span class="s2">&quot;-D&quot;</span><span class="o">]</span>
+<p>然后用密码 <code class="code docutils literal"><span class="pre">root</span></code> SSH进入容器：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>ssh -p <span class="m">2202</span> root@localhost
 </pre></div>
 </div>
-<p>使用该Dockerfile构建出镜像，然后运行这个container即可。相关命令为:</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="c1"># cd到含有Dockerfile的路径中</span>
-$ docker build . -t paddle_ssh
-<span class="c1"># 运行这个container，将宿主机的8022端口映射到container的22端口上</span>
-$ docker run -d -p <span class="m">8022</span>:22  --name paddle_ssh_machine paddle_ssh
+<p>SSH方式的一个优点是我们可以从多个终端进入容器。比如，一个终端运行vi，另一个终端运行Python。另一个好处是我们可以把PaddlePaddle容器运行在远程服务器上，并在笔记本上通过SSH与其连接。</p>
+<p>以上方法在GPU镜像里也能用－只是请不要忘记按装CUDA驱动，以及告诉Docker：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="nb">export</span> <span class="nv">CUDA_SO</span><span class="o">=</span><span class="s2">&quot;</span><span class="k">$(</span><span class="se">\l</span>s /usr/lib64/libcuda* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;-v {}:{}&#39;</span><span class="k">)</span><span class="s2"> </span><span class="k">$(</span><span class="se">\l</span>s /usr/lib64/libnvidia* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;-v {}:{}&#39;</span><span class="k">)</span><span class="s2">&quot;</span>
+<span class="nb">export</span> <span class="nv">DEVICES</span><span class="o">=</span><span class="k">$(</span><span class="se">\l</span>s /dev/nvidia* <span class="p">|</span> xargs -I<span class="o">{}</span> <span class="nb">echo</span> <span class="s1">&#39;--device {}:{}&#39;</span><span class="k">)</span>
+docker run <span class="si">${</span><span class="nv">CUDA_SO</span><span class="si">}</span> <span class="si">${</span><span class="nv">DEVICES</span><span class="si">}</span> -it paddledev/paddle:gpu-latest
 </pre></div>
 </div>
-<p>执行如下命令即可以关闭这个container，并且删除container中的数据:</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="c1"># 关闭container</span>
-$ docker stop paddle_ssh_machine
-<span class="c1"># 删除container</span>
-$ docker rm paddle_ssh_machine
+</div>
+<div class="section" id="avx">
+<h2>非AVX镜像<a class="headerlink" href="#avx" title="永久链接至标题">¶</a></h2>
+<p>纯CPU镜像以及GPU镜像都会用到AVX指令集，但是2008年之前生产的旧电脑不支持AVX。以下指令能检查Linux电脑是否支持AVX：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="k">if</span> cat /proc/cpuinfo <span class="p">|</span> grep -i avx<span class="p">;</span> <span class="k">then</span> <span class="nb">echo</span> Yes<span class="p">;</span> <span class="k">else</span> <span class="nb">echo</span> No<span class="p">;</span> <span class="k">fi</span>
 </pre></div>
 </div>
-<p>如果想要在外部机器访问这个container，即可以使用ssh访问宿主机的8022端口。用户名为
-root，密码也是root。命令为:</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ ssh -p <span class="m">8022</span> root@YOUR_HOST_MACHINE
+<p>如果输出是No，我们就需要手动编译一个非AVX版本的镜像：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="nb">cd</span> ~
+git clone https://github.com/PaddlePaddle/Paddle.git
+<span class="nb">cd</span> Paddle
+docker build --build-arg <span class="nv">WITH_AVX</span><span class="o">=</span>OFF -t paddle:cpu-noavx -f paddle/scripts/docker/Dockerfile .
+docker build --build-arg <span class="nv">WITH_AVX</span><span class="o">=</span>OFF -t paddle:gpu-noavx -f paddle/scripts/docker/Dockerfile.gpu .
 </pre></div>
 </div>
-<p>至此，您就可以远程的使用PaddlePaddle啦。</p>
 </div>
+<div class="section" id="id1">
+<h2>文档<a class="headerlink" href="#id1" title="永久链接至标题">¶</a></h2>
+<p>Paddle的Docker镜像带有一个通过 <a class="reference external" href="https://github.com/woboq/woboq_codebrowser">woboq code browser</a> 生成的HTML版本的C++源代码，便于用户浏览C++源码。</p>
+<p>只要在Docker里启动PaddlePaddle的时候给它一个名字，就可以再运行另一个Nginx Docker镜像来服务HTML代码：</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>docker run -d --name paddle-cpu-doc paddle:cpu
+docker run -d --volumes-from paddle-cpu-doc -p <span class="m">8088</span>:80 nginx
+</pre></div>
+</div>
+<p>接着我们就能够打开浏览器在 <a class="reference external" href="http://localhost:8088/paddle/">http://localhost:8088/paddle/</a> 浏览代码。</p>
 </div>
 </div>
 

develop/doc_cn/getstarted/build_and_install/index_cn.html

@@ -34,7 +34,7 @@
         <link rel="search" title="搜索" href="../../search.html"/>
     <link rel="top" title="PaddlePaddle  文档" href="../../index.html"/>
         <link rel="up" title="新手入门" href="../index_cn.html"/>
-        <link rel="next" title="安装PaddlePaddle的Docker镜像" href="docker_install_cn.html"/>
+        <link rel="next" title="PaddlePaddle的Docker容器使用方式" href="docker_install_cn.html"/>
         <link rel="prev" title="新手入门" href="../index_cn.html"/> 
 
   <link rel="stylesheet" href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" type="text/css" />
@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1 current"><a class="reference internal" href="../index_cn.html">新手入门</a><ul class="current">
 <li class="toctree-l2 current"><a class="current reference internal" href="#">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>
@@ -215,7 +215,7 @@
 <p>PaddlePaddle提供数个预编译的二进制来进行安装，包括Docker镜像，ubuntu的deb安装包等。我们推荐使用Docker镜像来部署环境，同时欢迎贡献更多的安装包。</p>
 <div class="toctree-wrapper compound">
 <ul>
-<li class="toctree-l1"><a class="reference internal" href="docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l1"><a class="reference internal" href="docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l1"><a class="reference internal" href="ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 </ul>
 </div>
@@ -241,7 +241,7 @@
   
     <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
       
-        <a href="docker_install_cn.html" class="btn btn-neutral float-right" title="安装PaddlePaddle的Docker镜像" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
+        <a href="docker_install_cn.html" class="btn btn-neutral float-right" title="PaddlePaddle的Docker容器使用方式" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
       
       
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develop/doc_cn/getstarted/build_and_install/ubuntu_install_cn.html

@@ -35,7 +35,7 @@
     <link rel="top" title="PaddlePaddle  文档" href="../../index.html"/>
         <link rel="up" title="安装与编译" href="index_cn.html"/>
         <link rel="next" title="PaddlePaddle的编译选项" href="cmake/build_from_source_cn.html"/>
-        <link rel="prev" title="安装PaddlePaddle的Docker镜像" href="docker_install_cn.html"/> 
+        <link rel="prev" title="PaddlePaddle的Docker容器使用方式" href="docker_install_cn.html"/> 
 
   <link rel="stylesheet" href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" type="text/css" />
   <link rel="stylesheet" href="../../_static/css/override.css" type="text/css" />
@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1 current"><a class="reference internal" href="../index_cn.html">新手入门</a><ul class="current">
 <li class="toctree-l2 current"><a class="reference internal" href="index_cn.html">安装与编译</a><ul class="current">
-<li class="toctree-l3"><a class="reference internal" href="docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>
@@ -278,7 +278,7 @@ apt-get install -f
         <a href="cmake/build_from_source_cn.html" class="btn btn-neutral float-right" title="PaddlePaddle的编译选项" accesskey="n">Next <span class="fa fa-arrow-circle-right"></span></a>
       
       
-        <a href="docker_install_cn.html" class="btn btn-neutral" title="安装PaddlePaddle的Docker镜像" accesskey="p"><span class="fa fa-arrow-circle-left"></span> Previous</a>
+        <a href="docker_install_cn.html" class="btn btn-neutral" title="PaddlePaddle的Docker容器使用方式" accesskey="p"><span class="fa fa-arrow-circle-left"></span> Previous</a>
       
     </div>
   

develop/doc_cn/getstarted/index_cn.html

@@ -114,7 +114,7 @@
           <ul class="current">
 <li class="toctree-l1 current"><a class="current reference internal" href="#">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
 <li class="toctree-l3"><a class="reference internal" href="build_and_install/cmake/build_from_source_cn.html">PaddlePaddle的编译选项</a></li>
 </ul>

develop/doc_cn/howto/deep_model/rnn/hierarchical_layer_cn.html

@@ -115,7 +115,7 @@
           <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../../../getstarted/index_cn.html">新手入门</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="../../../getstarted/build_and_install/index_cn.html">安装与编译</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/howto/deep_model/rnn/hrnn_rnn_api_compare_cn.html

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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/howto/deep_model/rnn/index_cn.html

@@ -115,7 +115,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/howto/deep_model/rnn/recurrent_group_cn.html

@@ -115,7 +115,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/deep_model/rnn/rnn_config_cn.html

@@ -115,7 +115,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/dev/new_layer_cn.html

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develop/doc_cn/howto/dev/write_docs_cn.html

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develop/doc_cn/howto/index_cn.html

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+<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/optimization/gpu_profiling_cn.html

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develop/doc_cn/howto/usage/cluster/cluster_train_cn.html

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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/usage/cmd_parameter/arguments_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/usage/cmd_parameter/detail_introduction_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/howto/usage/cmd_parameter/index_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/howto/usage/cmd_parameter/use_case_cn.html

@@ -115,7 +115,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/howto/usage/concepts/use_concepts_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/usage/k8s/k8s_basis_cn.html

@@ -115,7 +115,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/usage/k8s/k8s_cn.html

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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/usage/k8s/k8s_distributed_cn.html

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+<li class="toctree-l3"><a class="reference internal" href="../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/howto/usage/k8s/src/k8s_data/README.html

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develop/doc_cn/howto/usage/k8s/src/k8s_train/README.html

@@ -112,7 +112,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="../../../../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/index_cn.html

@@ -113,7 +113,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/py-modindex.html

@@ -115,7 +115,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/search.html

@@ -112,7 +112,7 @@
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 <li class="toctree-l3"><a class="reference internal" href="getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/embedding_model/index_cn.html

@@ -115,7 +115,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/image_classification/index_cn.html

@@ -115,7 +115,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/imagenet_model/resnet_model_cn.html

@@ -115,7 +115,7 @@
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+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/index_cn.html

@@ -114,7 +114,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/quick_start/index_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/tutorials/rec/ml_dataset_cn.html

@@ -112,7 +112,7 @@
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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
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develop/doc_cn/tutorials/rec/ml_regression_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/semantic_role_labeling/index_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/sentiment_analysis/index_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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develop/doc_cn/tutorials/text_generation/index_cn.html

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-<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">安装PaddlePaddle的Docker镜像</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/docker_install_cn.html">PaddlePaddle的Docker容器使用方式</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getstarted/build_and_install/ubuntu_install_cn.html">Ubuntu部署PaddlePaddle</a></li>
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