diff --git a/develop/doc_cn/_sources/howto/dev/contribute_to_paddle_cn.md.txt b/develop/doc_cn/_sources/howto/dev/contribute_to_paddle_cn.md.txt index 699390145226ec2b65fdf5122db187e1d30d669e..3e0bf7b3973079a2063d33b6be4fe8a9dc5c07bb 100644 --- a/develop/doc_cn/_sources/howto/dev/contribute_to_paddle_cn.md.txt +++ b/develop/doc_cn/_sources/howto/dev/contribute_to_paddle_cn.md.txt @@ -76,18 +76,18 @@ no changes added to commit (use "git add" and/or "git commit -a") ## 构建和测试 -编译 PaddlePaddle 的源码以及生成文档需要多种开发工具。为了方便大家，我们的标准开发流程是把这些工具都装进一个Docker image，称为*开发镜像*，通常名字是 `paddle:dev`。然后所有用 `cmake && make` 的地方（比如IDE配置里）都用 `docker run paddle:dev`来代替。 +编译 PaddlePaddle 的源码以及生成文档需要多种开发工具。为了方便大家，我们的标准开发流程是把这些工具都装进一个Docker image，称为*开发镜像*，通常名字是 `paddle:latest-dev` 或者 `paddle:[version tag]-dev` 如 `paddle:0.11.0-dev`。然后所有用 `cmake && make` 的地方（比如IDE配置里）都用 `docker run paddle:latest-dev`来代替。 如要build这个开发镜像，在源码目录树的根目录中运行： ```bash -➜ docker build -t paddle:dev . +➜ docker build -t paddle:latest-dev . ``` 随后可以用这个开发镜像开始build PaddlePaddle的源码。比如如果要build一个不依赖GPU，但是支持AVX指令集，并且包括unit tests的PaddlePaddle，可以： ```bash -➜ docker run -v $(pwd):/paddle -e "WITH_GPU=OFF" -e "WITH_AVX=ON" -e "WITH_TEST=ON" paddle:dev +➜ docker run -v $(pwd):/paddle -e "WITH_GPU=OFF" -e "WITH_AVX=ON" -e "WITH_TESTING=ON" paddle:latest-dev ``` 这个过程除了编译PaddlePaddle为 `./build/libpaddle.so`，并且输出一个 `./build/paddle.deb`文件之外，还会输出一个 `build/Dockerfile`。我们只需要运行下面命令把编译好的PaddlePaddle打包成一个*生产镜像*（`paddle:prod`）： @@ -99,7 +99,7 @@ no changes added to commit (use "git add" and/or "git commit -a") 如果要运行所有的单元测试，可以用如下命令： ```bash -➜ docker run -it -v $(pwd):/paddle paddle:dev bash -c "cd /paddle/build && ctest" +➜ docker run -it -v $(pwd):/paddle paddle:latest-dev bash -c "cd /paddle/build && ctest" ``` 关于构建和测试的更多信息，请参见[这篇文档](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/getstarted/build_and_install/docker_install_cn.rst)。 diff --git a/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html b/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html index bc5fcc10ce574abf7ef19f107e2581730e5ecb4c..00ee5067993de8e21d20c687866b05c62fea9678 100644 --- a/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html +++ b/develop/doc_cn/howto/dev/contribute_to_paddle_cn.html @@ -278,13 +278,13 @@ no changes added to commit (use "gi

构建和测试

-

编译 PaddlePaddle 的源码以及生成文档需要多种开发工具。为了方便大家，我们的标准开发流程是把这些工具都装进一个Docker image，称为开发镜像，通常名字是 paddle:dev。然后所有用 cmake && make 的地方（比如IDE配置里）都用 docker run paddle:dev来代替。

+

编译 PaddlePaddle 的源码以及生成文档需要多种开发工具。为了方便大家，我们的标准开发流程是把这些工具都装进一个Docker image，称为开发镜像，通常名字是 paddle:latest-dev 或者 paddle:[version tag]-dev 如 paddle:0.11.0-dev。然后所有用 cmake && make 的地方（比如IDE配置里）都用 docker run paddle:latest-dev来代替。

如要build这个开发镜像，在源码目录树的根目录中运行：

-
➜  docker build -t paddle:dev .
+
➜  docker build -t paddle:latest-dev .
 

 

 
随后可以用这个开发镜像开始build PaddlePaddle的源码。比如如果要build一个不依赖GPU，但是支持AVX指令集，并且包括unit tests的PaddlePaddle，可以：

-
➜  docker run -v $(pwd):/paddle -e "WITH_GPU=OFF" -e "WITH_AVX=ON" -e "WITH_TEST=ON" paddle:dev
+
➜  docker run -v $(pwd):/paddle -e "WITH_GPU=OFF" -e "WITH_AVX=ON" -e "WITH_TESTING=ON" paddle:latest-dev
 

 

 
这个过程除了编译PaddlePaddle为 ./build/libpaddle.so，并且输出一个 ./build/paddle.deb文件之外，还会输出一个 build/Dockerfile。我们只需要运行下面命令把编译好的PaddlePaddle打包成一个生产镜像（paddle:prod）：

@@ -292,7 +292,7 @@ no changes added to commit (use "gi
 

 

 
如果要运行所有的单元测试，可以用如下命令：

-
➜  docker run -it -v $(pwd):/paddle paddle:dev bash -c "cd /paddle/build && ctest"
+
➜  docker run -it -v $(pwd):/paddle paddle:latest-dev bash -c "cd /paddle/build && ctest"
 

 

 
关于构建和测试的更多信息，请参见这篇文档。

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index 591c9dd409ef5ebf53f8b11dfe82edc0419fa22d..1472b9fae6578d630c1fb1512a955b77623b0e6c 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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