Merge branch 'develop' into core_inference_multi_thread

doc/design/file_manager/README.md

-# FileManager设计文档
-## 目标
-在本文档中，我们设计说明了名为FileManager系统，方便用户上传自己的训练数据以进行分布式训练
-
-主要功能包括：
-
-- 提供常用的命令行管理命令管理文件和目录
-- 支持大文件的断点上传、下载  
-
-## 名词解释
-- PFS：是`Paddlepaddle cloud File System`的缩写，是对用户文件存储空间的抽象，与之相对的是local filesystem。目前我们用CephFS来搭建。
-- [CephFS](http://docs.ceph.com/docs/master/cephfs/)：一个POSIX兼容的文件系统。
-- Chunk：逻辑划上文件分块的单位。
-
-## 模块
-### 架构图
-<image src=./src/filemanager.png width=900>
-
-### PFSClient
-- 功能： 详细设计[link](./pfs/pfsclient.md)
-	- 提供用户管理文件的命令
-	- 需要可以跨平台执行
-
-- 双向验证   
-	PFSClient需要和Ingress之间做双向验证<sup>[tls](#tls)</sup>，所以用户需要首先在`cloud.paddlepaddle.org`上注册一下，申请用户空间，并且把系统生成的CA(certificate authority)、Key、CRT(CA signed certificate)下载到本地，然后才能使用PFSClient。
-		
-### [Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/)
-- 功能：  
-	提供七层协议的反向代理、基于粘性会话的负载均衡功能。
-	
-- 透传用户身份的办法  
-	Ingress需要把PFSClient的身份信息传给PFSServer，配置的方法参考[link](http://www.integralist.co.uk/posts/clientcertauth.html#3)
-
-### PFSServer
-PFSServer提供RESTful API接口，接收处理PFSClient端的文件管理请求，并且把结果返回PFSClient端。
-
-RESTful API
-
-- /api/v1/files
-	- `GET /api/v1/files`: Get metadata of files or directories.
-	- `POST /api/v1/files`: Create files or directories.
-	- `PATCH /api/v1/files`: Update files or directories.
-	- `DELETE /api/v1/files`: Delete files or directories.
-
-- /api/v1/file/chunks
-	- `GET /api/v1/storage/file/chunks`: Get chunks's metadata of a file.
-
-- /api/v1/storage/files
-	- `GET /api/v1/storage/files`: Download files or directories.
-	- `POST /api/v1/storage/files`: Upload files or directories.
-
-- /api/v1/storage/file/chunks
-	- `GET /api/v1/storage/file/chunks`: Download chunks's data.
-	- `POST /api/v1/storage/file/chunks`: Upload chunks's data.
-
-## 文件传输优化
-
-### 分块文件传输
-用户文件可能是比较大的，上传到Cloud或者下载到本地的时间可能比较长，而且在传输的过程中也可能出现网络不稳定的情况。为了应对以上的问题，我们提出了Chunk的概念，一个Chunk由所在的文件偏移、数据、数据长度及校验值组成。文件的上传和下载都是通过对Chunk的操作来实现的。由于Chunk比较小（默认256K），完成一个传输动作完成的时间也比较短，不容易出错。PFSClient需要在传输完毕最后一个Chunk的时候检查destination文件的MD5值是否和source文件一致。
-
-一个典型的Chunk如下所示：
-
-```
-type Chunk struct {
-	fileOffset int64
-	checksum uint32
-	len     uint32
-	data    []byte
-}
-```  
-
-### 生成sparse文件
-当destination文件不存在或者大小和source文件不一致时，可以用[Fallocate](https://Go.org/pkg/syscall/#Fallocate)生成sparse文件，然后就可以并发写入多个Chunk。
-
-### 覆盖不一致的部分
-文件传输的的关键在于需要PFSClient端对比source和destination的文件Chunks的checksum是否保持一致，不一致的由PFSClient下载或者传输Chunk完成。这样已经传输成功的部分就不用重新传输了。
-
-## 用户使用流程
-参考[link](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/cluster_train/data_dispatch.md)
-
-## 框架生成
-用[swagger](https://github.com/swagger-api/swagger-codegen)生成PFSClient和PFSServer的框架部分，以便我们可以把更多的精力放到逻辑本身上。
-
-## 参考文档
-- <a name=tls></a>[TLS complete guide](https://github.com/k8sp/tls/blob/master/tls.md)
-- [aws.s3](http://docs.aws.amazon.com/cli/latest/reference/s3/)
-- [linux man document](https://linux.die.net/man/)

doc/design/file_manager/pfs/pfsclient.md

-# PFSClient
-
-## Description
-The `pfs` command is a Command Line Interface to manage your files on PaddlePaddle Cloud
-
-## Synopsis
-```
-paddle [options] pfs <subcommand> [parameters]
-```
-
-## Options
-```
---profile (string)
-	Use a specific profile from your credential file.
-
---help (string)
-	Display more information about command
-
---version
-	Output version information and exit
-
---debug
-	Show detailed debugging log	
-	
---only-show-errors (boolean) 
-	Only errors and warnings are displayed. All other output is suppressed.
-```
-
-## Path Arguments
-When using a command, we need to specify path arguments. There are two path argument type: `localpath` and `pfspath`.  
-
-A `pfspath` begin with `/pfs`, eg: `/pfs/$DATACENTER/home/$USER/folder`.
-
-[Here](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/cluster_train/data_dispatch.md#上传训练文件) is how to config datacenters.
-
-## order of Path Arguments
-Commonly, if there are two path arguments, the first is the source, and the second is the destination.
-
-## Subcommonds
-- rm - remove files or directories
-
-```
-Synopsis:
-	rm [-r] [-v] <PFSPath> ...
-
-Options:
-	-r 
-		Remove directories and their contents recursively 
-	-v      
-		Cause rm to be verbose, showing files after they are removed.
-	
-Examples:
-	paddle pfs rm /pfs/$DATACENTER/home/$USER/file
-	paddle pfs rm -r /pfs/$DATACENTER/home/$USER/folder
-```
-- mv - move (rename) files
-
-```
-Synopsis:
-	mv [-f | -n] [-v] <LocalPath> <PFSPath>
-	mv [-f | -n] [-v] <LocalPath> ... <PFSPath>
-	mv [-f | -n] [-v] <PFSPath> <LocalPath> 
-	mv [-f | -n] [-v] <PFSPath> ... <LocalPath> 
-	mv [-f | -n] [-v] <PFSPath> <PFSPath> 
-	mv [-f | -n] [-v] <PFSPath> ... <PFSPath> 
-	
-Options:
-	-f      
-		Do not prompt for confirmation before overwriting the destination path.  (The -f option overrides previous -n options.)
-	-n      
-		Do not overwrite an existing file.  (The -n option overrides previous -f options.)
-	-v      
-		Cause mv to be verbose, showing files after they are moved.
-		
-Examples:
-	paddle pfs mv ./text1.txt /pfs/$DATACENTER/home/$USER/text1.txt
-```
-- cp - copy files or directories
-
-```
-Synopsis:
-	cp [-r] [-f | -n] [-v] [--preserve--links] <LocalPath> <PFSPath>
-	cp [-r] [-f | -n] [-v] [--preserve--links] <LocalPath> ... <PFSPath>
-	cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> <LocalPath> 
-	cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> ... <LocalPath>
-	cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> <PFSPath> 
-	cp [-r] [-f | -n] [-v] [--preserve--links] <PFSPath> ... <PFSPath>
-
-Options:
-	-r
-   		Copy directories recursively
-   	-f      
-		Do not prompt for confirmation before overwriting the destination path.  (The -f option overrides previous -n options.)
-	-n      
-		Do not overwrite an existing file.  (The -n option overrides previous -f options.)
-	-v      
-		Cause cp to be verbose, showing files after they are copied.
-	--preserve--links
-	   Reserve links when copy links
-	   
-Examples:
-	paddle pfs cp ./file /pfs/$DATACENTER/home/$USER/file
-	paddle pfs cp /pfs/$DATACENTER/home/$USER/file ./file
-```
-- ls- list files
-
-```
-Synopsis:
-	ls [-r] <PFSPath> ...
-	
-Options:
-	-R
-   		List directory(ies) recursively
-
-Examples:
-	paddle pfs ls  /pfs/$DATACENTER/home/$USER/file
-	paddle pfs ls  /pfs/$DATACENTER/home/$USER/folder
-```
-
-- mkdir - mkdir directory(ies)
-Create intermediate directory(ies) as required.
-
-```
-Synopsis:
-	mkdir <PFSPath> ...
-
-Examples:
-	paddle pfs mkdir  /pfs/$DATACENTER/home/$USER/folder
-```

doc/fluid/dev/index_cn.rst

@@ -9,5 +9,5 @@
   use_eigen_cn.md
   name_convention.md
   support_new_device.md
-  releasing_process.md
+  releasing_process_cn.md
   op_markdown_format.md

doc/fluid/dev/index_en.rst

@@ -9,5 +9,5 @@ Development
   use_eigen_en.md
   name_convention.md
   support_new_device.md
-  releasing_process.md
+  releasing_process_en.md
   op_markdown_format.md

doc/fluid/dev/releasing_process.md → doc/fluid/dev/releasing_process_cn.md

@@ -10,19 +10,10 @@ PaddlePaddle每次发新的版本，遵循以下流程:
   * 使用Regression Test List作为检查列表，测试本次release的正确性。
 	  * 如果失败，记录下所有失败的例子，在这个`release/版本号`分支中，修复所有bug后，Patch号加一，到第二步
 	* 修改`python/setup.py.in`中的版本信息,并将`istaged`字段设为`True`。
-	* 编译这个版本的python wheel包，并发布到pypi。
-		* 由于pypi.python.org目前遵循[严格的命名规范PEP 513](https://www.python.org/dev/peps/pep-0513)，在使用twine上传之前，需要重命名wheel包中platform相关的后缀，比如将`linux_x86_64`修改成`manylinux1_x86_64`。
-		* pypi上的package名称为paddlepaddle和paddlepaddle_gpu，如果要上传GPU版本的包，需要修改build/python/setup.py中，name: "paddlepaddle_gpu"并重新打包wheel包：`python setup.py bdist_wheel`。
-		* 上传方法：
-			```
-			cd build/python
-			pip install twine
-			twine upload dist/[package to upload]
-			```
-		* 编译这个版本的Docker发行镜像，发布到dockerhub。如果失败，修复Docker编译镜像问题，Patch号加一，返回第二步
-1. 第三步完成后，将`release/版本号`分支合入master分支，并删除`release/版本号`分支。将master分支的合入commit打上tag，tag为`版本号`。同时再将`master`分支合入`develop`分支。最后删除`release/版本号`分支。
-1. 协同完成Release Note的书写
-
+	* 将这个版本的python wheel包发布到pypi。
+	* 更新Docker镜像（参考后面的操作细节）。
+1. 第三步完成后，将`release/版本号`分支合入master分支，将master分支的合入commit打上tag，tag为`版本号`。同时再将`master`分支合入`develop`分支。
+1. 协同完成Release Note的书写。
 
 需要注意的是:
 
@@ -31,13 +22,18 @@ PaddlePaddle每次发新的版本，遵循以下流程:
 
 ## 发布wheel包到pypi
 
-使用[PaddlePaddle CI](https://paddleci.ngrok.io/project.html?projectId=Manylinux1&tab=projectOverview)
+1. 使用[PaddlePaddle CI](https://paddleci.ngrok.io/project.html?projectId=Manylinux1&tab=projectOverview)
 完成自动化二进制编译，参考下图，选择需要发布的版本（通常包含一个CPU版本和一个GPU版本），点击"run"右侧的"..."按钮，可以
-弹出下面的选择框，在第二个tab (Changes)里选择需要发布的分支，这里选择0.11.0，然后点击"Run Build"按钮。等待编译完成后
-可以在此页面的"Artifacts"下拉框中找到生成的3个二进制文件，分别对应CAPI，`cp27m`和`cp27mu`的版本。然后按照上述的方法
-使用`twine`工具上传即可。
-
-<img src="https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/ci_build_whl.png">
+弹出下面的选择框，在第二个tab (Changes)里选择需要发布的分支，这里选择0.11.0，然后点击"Run Build"按钮。
+	<img src="https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/doc/fluid/images/ci_build_whl.png">
+1. 等待编译完成后可以在此页面的"Artifacts"下拉框中找到生成的3个二进制文件，分别对应CAPI，`cp27m`和`cp27mu`的版本。
+1. 由于pypi.python.org目前遵循[严格的命名规范PEP 513](https://www.python.org/dev/peps/pep-0513)，在使用twine上传之前，需要重命名wheel包中platform相关的后缀，比如将`linux_x86_64`修改成`manylinux1_x86_64`。
+1. 上传：
+```
+cd build/python
+pip install twine
+twine upload dist/[package to upload]
+```
 
 * 注：CI环境使用 https://github.com/PaddlePaddle/buildtools 这里的DockerImage作为编译环境以支持更多的Linux
   发型版，如果需要手动编译，也可以使用这些镜像。这些镜像也可以从 https://hub.docker.com/r/paddlepaddle/paddle_manylinux_devel/tags/ 下载得到。
@@ -48,10 +44,20 @@ PaddlePaddle每次发新的版本，遵循以下流程:
 上述PaddlePaddle CI编译wheel完成后会自动将Docker镜像push到DockerHub，所以，发布Docker镜像只需要对自动push的镜像打上
 版本号对应的tag即可：
 
-1. 进入 https://hub.docker.com/r/paddlepaddle/paddle/tags/ 查看latest tag的更新时间是否在上述编译wheel包完成后是否最新。
-1. 执行 `docker pull paddlepaddle/paddle:[latest tag]`，latest tag可以是latest或latest-gpu等。
-1. 执行 `docker tag paddlepaddle/paddle:[latest tag] paddlepaddle/paddle:[version]`
-1. 执行 `docker push paddlepaddle/paddle:[version]`
+```
+docker pull [镜像]:latest
+docker tag [镜像]:latest [镜像]:[version]
+docker push [镜像]:[version]
+```
+
+需要更新的镜像tag包括：
+
+* `[version]`: CPU版本
+* `[version]-openblas`: openblas版本
+* `[version]-gpu`: GPU版本（CUDA 8.0 cudnn 5）
+* `[version]-gpu-[cudaver]-[cudnnver]`: 不同cuda, cudnn版本的镜像
+
+之后可进入 https://hub.docker.com/r/paddlepaddle/paddle/tags/ 查看是否发布成功。
 
 ## PaddlePaddle 分支规范
 
@@ -76,7 +82,7 @@ PaddlePaddle开发过程使用[git-flow](http://nvie.com/posts/a-successful-git-
 
 ### PaddlePaddle Book中所有章节
 
-PaddlePaddle每次发版本首先要保证PaddlePaddle Book中所有章节功能的正确性。功能的正确性包括验证PaddlePaddle目前的`paddle_trainer`训练和纯使用`Python`训练模型正确性。
+PaddlePaddle每次发版本首先要保证PaddlePaddle Book中所有章节功能的正确性。功能的正确性包括验证PaddlePaddle目前的`paddle_trainer`训练和纯使用`Python`训练（V2和Fluid）模型正确性。
 
 <table>
 <thead>

doc/fluid/dev/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 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>

paddle/fluid/operators/reader/create_batch_reader_op.cc

@@ -39,10 +39,13 @@ class CreateBatchReaderOp : public framework::OperatorBase {
  private:
   void RunImpl(const framework::Scope& scope,
                const platform::Place& dev_place) const override {
-    const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
-                                        ->Get<framework::ReaderHolder>();
     auto* out = scope.FindVar(Output("Out"))
                     ->template GetMutable<framework::ReaderHolder>();
+    if (out->Get() != nullptr) {
+      return;
+    }
+    const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
+                                        ->Get<framework::ReaderHolder>();
     out->Reset(
         new BatchReader(underlying_reader.Get(), Attr<int>("batch_size")));
   }

paddle/fluid/operators/reader/create_double_buffer_reader_op.cc

@@ -99,10 +99,13 @@ class CreateDoubleBufferReaderOp : public framework::OperatorBase {
  private:
   void RunImpl(const framework::Scope& scope,
                const platform::Place& dev_place) const override {
-    const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
-                                        ->Get<framework::ReaderHolder>();
     auto* out = scope.FindVar(Output("Out"))
                     ->template GetMutable<framework::ReaderHolder>();
+    if (out->Get() != nullptr) {
+      return;
+    }
+    const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
+                                        ->Get<framework::ReaderHolder>();
 
     auto place_str = Attr<std::string>("place");
     platform::Place place;

paddle/fluid/operators/reader/create_multi_pass_reader_op.cc

@@ -62,12 +62,15 @@ class CreateMultiPassReaderOp : public framework::OperatorBase {
  private:
   void RunImpl(const framework::Scope& scope,
                const platform::Place& dev_place) const override {
+    auto* out = detail::Ref(scope.FindVar(Output("Out")))
+                    .GetMutable<framework::ReaderHolder>();
+    if (out->Get() != nullptr) {
+      return;
+    }
     const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
                                         ->Get<framework::ReaderHolder>();
-    auto& out = detail::Ref(scope.FindVar(Output("Out")));
     int pass_num = Attr<int>("pass_num");
-    out.GetMutable<framework::ReaderHolder>()->Reset(
-        new MultiPassReader(underlying_reader.Get(), pass_num));
+    out->Reset(new MultiPassReader(underlying_reader.Get(), pass_num));
   }
 };
 

paddle/fluid/operators/reader/create_shuffle_reader_op.cc

@@ -80,10 +80,14 @@ class CreateShuffleReaderOp : public framework::OperatorBase {
  private:
   void RunImpl(const framework::Scope& scope,
                const platform::Place& dev_place) const override {
+    auto* out = detail::Ref(scope.FindVar(Output("Out")))
+                    .GetMutable<framework::ReaderHolder>();
+    if (out->Get() != nullptr) {
+      return;
+    }
     const auto& underlying_reader = scope.FindVar(Input("UnderlyingReader"))
                                         ->Get<framework::ReaderHolder>();
-    auto& var = detail::Ref(scope.FindVar(Output("Out")));
-    var.GetMutable<framework::ReaderHolder>()->Reset(
+    out->Reset(
         new ShuffleReader(underlying_reader.Get(),
                           static_cast<size_t>(Attr<int>("buffer_size"))));
   }

paddle/fluid/pybind/tensor_py.h

@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #pragma once
+#include <Python.h>
 #include <string>
 #include <tuple>
 #include <vector>

python/paddle/fluid/framework.py

@@ -640,6 +640,20 @@ class Operator(object):
         """
         return self.desc.block_attr(name)
 
+    def all_attrs(self):
+        """
+        Get the attribute dict
+        Returns(dict): The Operator's attribute dict
+        """
+        attr_names = self.attr_names
+        attr_map = {}
+        for n in attr_names:
+            if n == 'sub_block':
+                attr_map[n] = self.block_attr(n)
+            else:
+                attr_map[n] = self.attr(n)
+        return attr_map
+
 
 class Block(object):
     def __init__(self, program, idx):

python/paddle/fluid/layers/io.py

@@ -255,7 +255,32 @@ def _copy_reader_var_(block, var):
     new_var.desc.set_shapes(var.desc.shapes())
     new_var.desc.set_dtypes(var.desc.dtypes())
     new_var.persistable = True
-    return monkey_patch_reader_methods(new_var)
+    return new_var
+
+
+def _copy_reader_create_op_(block, op):
+    input_param_names = op.input_names
+    new_input_map = {}
+    for param_name in input_param_names:
+        new_input_map[param_name] = []
+        arg_names = op.input(param_name)
+        for arg_name in arg_names:
+            new_input_map[param_name].append(block.var(arg_name))
+
+    output_param_names = op.output_names
+    new_output_map = {}
+    for param_name in output_param_names:
+        new_output_map[param_name] = []
+        arg_names = op.output(param_name)
+        for arg_name in arg_names:
+            new_output_map[param_name].append(block.var(arg_name))
+
+    new_op = block.append_op(
+        type=op.type,
+        inputs=new_input_map,
+        outputs=new_output_map,
+        attrs=op.all_attrs())
+    return new_op
 
 
 def open_recordio_file(filename, shapes, lod_levels, dtypes):
@@ -283,8 +308,9 @@ def open_recordio_file(filename, shapes, lod_levels, dtypes):
 
     startup_var.desc.set_dtypes(dtypes)
     startup_var.persistable = True
-    return _copy_reader_var_(default_main_program().current_block(),
-                             startup_var)
+    main_prog_var = _copy_reader_var_(default_main_program().current_block(),
+                                      startup_var)
+    return monkey_patch_reader_methods(main_prog_var)
 
 
 def open_files(filenames, thread_num, shapes, lod_levels, dtypes):
@@ -313,22 +339,25 @@ def open_files(filenames, thread_num, shapes, lod_levels, dtypes):
 
     startup_var.desc.set_dtypes(dtypes)
     startup_var.persistable = True
-    return _copy_reader_var_(default_main_program().current_block(),
-                             startup_var)
+    main_prog_var = _copy_reader_var_(default_main_program().current_block(),
+                                      startup_var)
+    return monkey_patch_reader_methods(main_prog_var)
 
 
 def __create_decorated_reader__(op_type, reader, attrs):
     var_name = unique_name(op_type)
     startup_blk = default_startup_program().current_block()
     startup_var = startup_blk.create_var(name=var_name)
-    startup_blk.append_op(
+    startop_op = startup_blk.append_op(
         type=op_type,
         inputs={'UnderlyingReader': reader},
         outputs={'Out': [startup_var]},
         attrs=attrs)
     startup_var.persistable = True
-    return _copy_reader_var_(default_main_program().current_block(),
-                             startup_var)
+    main_prog_block = default_main_program().current_block()
+    main_prog_var = _copy_reader_var_(main_prog_block, startup_var)
+    _copy_reader_create_op_(main_prog_block, startop_op)
+    return monkey_patch_reader_methods(main_prog_var)
 
 
 def create_shuffle_reader(reader, buffer_size):

python/paddle/fluid/tests/unittests/test_recordio_reader.py

@@ -15,8 +15,8 @@
 import unittest
 
 import paddle.fluid as fluid
-import paddle
-import paddle.dataset.mnist as mnist
+import paddle.v2 as paddle
+import paddle.v2.dataset.mnist as mnist
 
 
 class TestRecordIO(unittest.TestCase):

python/setup.py.in

@@ -107,6 +107,7 @@ package_dir={
     # So that package points to other directory.
     'paddle.fluid.proto.profiler': '${PADDLE_BINARY_DIR}/paddle/fluid/platform',
     'paddle.fluid.proto': '${PADDLE_BINARY_DIR}/paddle/fluid/framework',
+    'paddle.fluid': '${PADDLE_BINARY_DIR}/python/paddle/fluid',
 }
 if '${WITH_FLUID_ONLY}'== 'OFF':
     package_dir['py_paddle']='${PADDLE_BINARY_DIR}/python/py_paddle'