releasing_process_en.md

# PaddlePaddle Releasing Process

PaddlePaddle manages its branches using "git-flow branching model", and [Semantic Versioning](http://semver.org/) as it's version number semantics.

Each time we release a new PaddlePaddle version, we should follow the below steps:

1. Fork a new branch from `develop` named `release/[version]`, e.g. `release/0.10.0`.
1. Push a new tag on the release branch, the tag name should be like `[version]rc.patch`. The
   first tag should be `0.10.0rc1`, and the second should be `0.10.0.rc2` and so on.
1. After that, we should do:
  * Run all regression test on the Regression Test List (see PaddlePaddle TeamCity CI), to confirm
      that this release has no major bugs.
        * If regression test fails, we must fix those bugs and create a new `release/[version]`
          branch from previous release branch.
    * Modify `python/setup.py.in`, change the version number and change `ISTAGED` to `True`.
    * Publish PaddlePaddle release wheel packages to pypi (see below instructions for detail).
    * Update the Docker images (see below instructions for detail).
1. After above step, merge `release/[version]` branch to master and push a tag on the master commit,
   then merge `master` to `develop`.
1. Update the Release Note.          

***NOTE:***

* Do ***NOT*** merge commits from develop branch to release branches to keep the release branch contain
  features only for current release, so that we can test on that version.
* If we want to fix bugs on release branches, we must merge the fix to master, develop and release branch.

## Publish Wheel Packages to pypi

1. Use our [CI tool](https://paddleci.ngrok.io/project.html?projectId=Manylinux1&tab=projectOverview)
   to build all wheel packages needed to publish. As shown in the following picture, choose a build
     version, click "..." button on the right side of "Run" button, and switch to the second tab in the
pop-up box, choose the current release branch and click "Run Build" button. You may repeat this
     step to start different versions of builds.
    <img src="https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/ci_build_whl.png">
1. After the build succeeds, download the outputs under "Artifacts" including capi, `cp27m` and `cp27mu`.
1. Since pypi.python.org follows [PEP 513](https://www.python.org/dev/peps/pep-0513), before we
     upload the package using `twine`, we need to rename the package from `linux_x86_64` to
     `manylinux1_x86_64`.
1. Start the upload:
     ```
     cd build/python
     pip install twine
     twine upload dist/[package to upload]
     ```

* NOTE: We use a special Docker image to build our releases to support more Linux distributions, you can
  download it from https://hub.docker.com/r/paddlepaddle/paddle_manylinux_devel/tags/, or build it using
    scripts under `tools/manylinux1`.
* pypi does not allow overwrite the already uploaded version of wheel package, even if you delete the
  old version. you must change the version number before upload a new one.

### Publish wheel Packages for MacOS

You need to build the binary wheel package for MacOS before publishing, to
make sure that the package can be used by many versions of MacOS
(10.11, 10.12, 10.13) and different python installs (python.org, homebrew, etc.),
you must build the package ***exactly*** following below steps:

Build steps:

1. install python from python.org downloads, and make sure it's currently in use
   in your system.
1. `export MACOSX_DEPLOYMENT_TARGET=10.11`, use `10.11` is enough for recent versions.
1. `git clone https://github.com/PaddlePaddle/Paddle.git && cd Paddle && mkdir build && cd build`
1. `cmake -DWITH_GPU=OFF -DWITH_MKL=OFF -DWITH_SYSTEM_BLAS=OFF  ..`, make sure the output of `cmake` command is using the correct python interpreter installed from python.org
1. `make -j`
1. `pip install delocate`
1. `mkdir fixed_wheel && delocate-wheel -w fixed_wheel python/dist/*.whl`

Then the whl under `fixed_wheel` is ready to upload.

Install steps:

1. run `pip install paddlepaddle...whl`
1. find the `libpython.dylib` that are currently in use:
    - for python.org package installs, do nothing.
    - for other python installs, find the path of `libpython*.dylib` and `export LD_LIBRARY_PATH=you path && DYLD_LIBRARY_PATH=your path`

## Publish Docker Images

Our CI tool will push latest images to DockerHub, so we only need to push a version tag like:

```
docker pull [image]:latest
docker tag [image]:latest [image]:[version]
docker push [image]:[version]
```

Tags that need to be updated are:
* `[version]`: CPU only version image
* `[version]-openblas`: openblas version image
* `[version]-gpu`: GPU version（using CUDA 8.0 cudnn 5）
* `[version]-gpu-[cudaver]-[cudnnver]`: tag for different cuda, cudnn versions

You can then checkout the latest pushed tags at https://hub.docker.com/r/paddlepaddle/paddle/tags/.

## Branching Model

We use [git-flow](http://nvie.com/posts/a-successful-git-branching-model/) as our branching model,
with some modifications:

* `master` branch is the stable branch. Each version on the master branch is tested and guaranteed.
* `develop` branch is for development. Each commit on develop branch has passed CI unit test, but no
  regression tests are run.
* `release/[version]` branch is used to publish each release. Latest release version branches have
  bugfix only for that version, but no feature updates.
* Developer forks are not required to follow
  [git-flow](http://nvie.com/posts/a-successful-git-branching-model/)
  branching model, all forks is like a feature branch.
    * Advise: developer fork's develop branch is used to sync up with main repo's develop branch.
    * Advise: developer use it's fork's develop branch to for new branch to start developing.
  * Use that branch on developer's fork to create pull requests and start reviews.
      * developer can push new commits to that branch when the pull request is open.
* Bug fixes are also started from developers forked repo. And, bug fixes branch can merge to
  `master`, `develop` and `releases`.

## PaddlePaddle Regression Test List

### All Chapters of PaddlePaddle Book

We need to guarantee that all the chapters of PaddlePaddle Book can run correctly. Including
V1 (`paddle_trainer` training) and V2 training and Fluid training.

<table>
<thead>
<tr>
<th></th>
<th>Linear Regression</th>
<th>Recognize Digits</th>
<th>Image Classification</th>
<th>Word2Vec</th>
<th>Personalized Recommendation</th>
<th>Sentiment Analysis</th>
<th>Semantic Role Labeling</th>
<th>Machine Translation</th>
</tr>
</thead>

<tbody>
<tr>
<td>API.V2 + Docker + GPU </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td> API.V2 + Docker + CPU </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td>`paddle_trainer` + Docker + GPU </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td>`paddle_trainer` + Docker + CPU </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td> API.V2 + Ubuntu + GPU</td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td>API.V2 + Ubuntu + CPU </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td> `paddle_trainer` + Ubuntu + GPU</td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>

<tr>
<td> `paddle_trainer` + Ubuntu + CPU</td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
<td>  </td>
<td> </td>
</tr>
</tbody>
</table>