提交 c8d0c9af 编写于 作者: Y Yi Wang

In response to comments from Luo Tao

上级 1e61d91f
......@@ -71,7 +71,7 @@
- 学习 Docker 有多难?
理解 Docker 并不难,大概花十分钟看一遍 https://zhuanlan.zhihu.com/p/19902938 即可。这可以帮您省掉花一小时安装和配置各种开发工具,以及切换机器时需要新安装的辛苦。别忘了 PaddlePaddle 更新可能导致需要新的开发工具。更别提简化问题复现带来的好处了。
理解 Docker 并不难,大概花十分钟看一[这篇文章](https://zhuanlan.zhihu.com/p/19902938)。这可以帮您省掉花一小时安装和配置各种开发工具,以及切换机器时需要新安装的辛苦。别忘了 PaddlePaddle 更新可能导致需要新的开发工具。更别提简化问题复现带来的好处了。
- Docker 需要 sudo
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- 可以并行编译吗?
是的。我们的 Docker image 运行一个 Bash 脚本 https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build.sh 。这个脚本调用 `make -j$(nproc)` 来启动和 CPU 核一样多的进程来并行编译。
是的。我们的 Docker image 运行一个 [Bash 脚本](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build.sh)。这个脚本调用 `make -j$(nproc)` 来启动和 CPU 核一样多的进程来并行编译。
- Docker on Windows/MacOS?
Docker 在 Windows 和 MacOS 都可以运行。不过实际上是运行在一个 Linux 虚拟机上。可能需要注意给这个虚拟机多分配一些 CPU 和内存,以保证编译高效。具体做法请参考 https://github.com/PaddlePaddle/Paddle/issues/627
Docker 在 Windows 和 MacOS 都可以运行。不过实际上是运行在一个 Linux 虚拟机上。可能需要注意给这个虚拟机多分配一些 CPU 和内存,以保证编译高效。具体做法请参考[这个issue](https://github.com/PaddlePaddle/Paddle/issues/627)
......@@ -71,7 +71,7 @@ Nothing else. Not even Python and GCC, because you can install all build tools
- How difficult is it to learn Docker?
It takes you ten minutes to read https://docs.docker.com/get-started/ and saves you more than one hour to install all required build tools, configure them, and upgrade them when new versions of PaddlePaddle require some new tools.
It takes you ten minutes to read [an introductory article](https://docs.docker.com/get-started) and saves you more than one hour to install all required build tools, configure them, and upgrade them when new versions of PaddlePaddle require some new tools.
- Docker requires sudo
......@@ -93,8 +93,8 @@ Nothing else. Not even Python and GCC, because you can install all build tools
- Does Docker do parallel building?
Our building Docker image runs a Bash script https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build.sh, which calls `make -j$(nproc)` to starts as many processes as the number of your processors.
Our building Docker image runs a [Bash script](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/docker/build.sh), which calls `make -j$(nproc)` to starts as many processes as the number of your processors.
- Docker on Windows/MacOS?
On Windows and MacOS, Docker containers run in a Linux VM. You might want to give this VM some more memory and CPUs so to make the building efficient. Please refer to https://github.com/PaddlePaddle/Paddle/issues/627 for details.
On Windows and MacOS, Docker containers run in a Linux VM. You might want to give this VM some more memory and CPUs so to make the building efficient. Please refer to [this issue](https://github.com/PaddlePaddle/Paddle/issues/627) for details.
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