Update docker readme to reflect changes.#1896
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wangkuiyi
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Apr 26, 2017
| 这里`a.py`包含的所有依赖假设都可以在Paddle的运行容器中。如果需要包含更多的依赖、或者需要发布您的应用的镜像，可以编写`Dockerfile`使用`FROM paddledev/paddle:<version>` | ||
| 创建和发布自己的AI程序镜像。 | ||
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| 运行PaddlePaddle书籍 |
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可否顺便把“PaddlePaddle书籍”改成“PaddlePaddle Book”？多谢多谢！
wangkuiyi
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Apr 26, 2017
| @@ -7,80 +7,99 @@ PaddlePaddle目前唯一官方支持的运行的方式是Docker容器。因为Do | |||
| PaddlePaddle发布的docker镜像使用说明 | |||
| docker build -t paddle:prod -f build/Dockerfile . | ||
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| ssh root@localhost -p 2202 | ||
| 以上命令会按照生成的Dockerfile把生成的程序拷贝到生产镜像中并做相应的配置，最终生成名为paddle:prod的生产镜像。 |
wangkuiyi
reviewed
Apr 26, 2017
| - sshd | ||
| 很多开发者会使用远程的安装有GPU的服务器工作，用户可以使用ssh登录到这台服务器上并执行 :code:`docker exec`进入开发镜像并开始工作， | ||
| 也可以在开发镜像中启动一个SSHD服务，方便开发者直接登录到镜像中进行开发: | ||
| 这个镜像包含了Paddle相关的开发工具以及编译和运行环境。用户可以使用开发镜像代替配置本地环境，完成开发，编译，发布， |
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这里貌似漏掉了如何build 开发镜像？
git clone https://github.com/PaddlePaddle/paddle
cd paddle
docker build -t paddle:dev .也可以直接使用Dockerhub上我们预先build好的开发镜像 paddlepaddle/paddle:<version>-dev。
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在后面，“通过Docker容器开发PaddlePaddle”这一节。
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