Deadlink fix (#654)

* fix_deadlinks

* update_docker

* Update release_note.rst

doc/fluid/advanced_usage/deploy/mobile/mobile_readme.md

@@ -55,7 +55,7 @@
 
 ### 2. Caffe转为Paddle Fluid模型
 
-请参考这里[这里](https://github.com/PaddlePaddle/models/tree/develop/fluid/PaddleCV/image_classification/caffe2fluid)
+请参考这里[这里](https://github.com/PaddlePaddle/models/tree/develop/fluid/PaddleCV/caffe2fluid)
 
 ### 3. ONNX
 

doc/fluid/advanced_usage/deploy/mobile/mobile_readme_en.md

@@ -50,7 +50,7 @@ At present Paddle-Mobile only supports models trained by Paddle fluid. Models ca
 ### 1. Use Paddle Fluid directly to train
 It is the most reliable method to be recommended
 ### 2. Transform Caffe to Paddle Fluid model
-[https://github.com/PaddlePaddle/models/tree/develop/fluid/image_classification/caffe2fluid](https://github.com/PaddlePaddle/models/tree/develop/fluid/image_classification/caffe2fluid)
+[https://github.com/PaddlePaddle/models/tree/develop/fluid/image_classification/caffe2fluid](https://github.com/PaddlePaddle/models/tree/develop/fluid/PaddleCV/caffe2fluid)
 ### 3. ONNX
 ONNX is the acronym of Open Neural Network Exchange. The project is aimed to make a full communication and usage among different neural network development frameworks.
 

doc/fluid/advanced_usage/development/contribute_to_paddle/local_dev_guide.md

@@ -26,7 +26,7 @@
 
 ## 创建本地分支
 
-Paddle 目前使用[Git流分支模型](http://nvie.com/posts/a-successful-git-branching-model/)进行开发，测试，发行和维护，具体请参考 [Paddle 分支规范](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/releasing_process.md#paddle-分支规范)。
+Paddle 目前使用[Git流分支模型](http://nvie.com/posts/a-successful-git-branching-model/)进行开发，测试，发行和维护，具体请参考 [Paddle 分支规范](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/others/releasing_process.md)。
 
 所有的 feature 和 bug fix 的开发工作都应该在一个新的分支上完成，一般从 `develop` 分支上创建新分支。
 
@@ -110,7 +110,7 @@ no changes added to commit (use "git add" and/or "git commit -a")
 ➜  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[使用Docker安装运行](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/v2/build_and_install/docker_install_cn.rst)。
+关于构建和测试的更多信息，请参见[使用Docker安装运行](../../../beginners_guide/install/install_Docker.html)。
 
 ## 提交（commit）
 

doc/fluid/advanced_usage/development/contribute_to_paddle/local_dev_guide_en.md

@@ -26,7 +26,7 @@ Clone remote git to local:
 
 ## Create local branch
 
-At present [Git stream branch model](http://nvie.com/posts/a-successful-git-branching-model/)  is applied to Paddle to undergo task of development,test,release and maintenance.Please refer to [branch regulation of Paddle](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/releasing_process.md#paddle-分支规范) about details。
+At present [Git stream branch model](http://nvie.com/posts/a-successful-git-branching-model/)  is applied to Paddle to undergo task of development,test,release and maintenance.Please refer to [branch regulation of Paddle](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/others/releasing_process.md) about details。
 
 All development tasks of feature and bug fix should be finished in a new branch which is extended from `develop` branch.
 
@@ -110,7 +110,7 @@ Run all unit tests with following commands:
 ➜  docker run -it -v $(pwd):/paddle paddle:latest-dev bash -c "cd /paddle/build && ctest"
 ```
 
-Please refer to [Installation and run with Docker](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/v2/build_and_install/docker_install_cn.rst) about more information of construction and test.
+Please refer to [Installation and run with Docker](../../../beginners_guide/install/install_Docker.html) about more information of construction and test.
 
 ## Commit
 

doc/fluid/advanced_usage/development/new_op/index_cn.rst

@@ -2,12 +2,9 @@
 新增operator
 #############
 
-- `如何写新的operator <../../../advanced_usage/development/new_op.html>`_ ：介绍如何在 Fluid 中添加新的 Operator
-
 - `op相关的一些注意事项 <../../../advanced_usage/development/op_notes.html>`_ ：介绍op相关的一些注意事项
 
 .. toctree::
    :hidden:
 
-   new_op_cn.md
    op_notes.md

doc/fluid/advanced_usage/development/new_op/op_notes.md

@@ -11,7 +11,7 @@ Fluid框架的设计理念是可以在多种设备及第三方库上运行，有
 Operator继承关系图：
 ![op_inheritance_relation_diagram](../../pics/op_inheritance_relation_diagram.png)
 
-进一步了解可参考：[multi_devices](https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/fluid/design/multi_devices)，[scope](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/concepts/scope.md)，[Developer's_Guide_to_Paddle_Fluid](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md)    
+进一步了解可参考：[multi_devices](https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/fluid/design/multi_devices)，[scope](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/concepts/scope.md)，[Developer's_Guide_to_Paddle_Fluid](https://github.com/PaddlePaddle/FluidDoc/blob/release/1.2/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md)
 
 ### 2.Op的注册逻辑
 每个Operator的注册项包括：

doc/fluid/advanced_usage/development/new_op/op_notes_en.md

@@ -11,7 +11,7 @@ The Fluid framework is designed to run on a variety of devices and third-party l
 Operator inheritance diagram:
 ![op_inheritance_relation_diagram](../../pics/op_inheritance_relation_diagram.png)
 
-For further information, please refer to: [multi_devices](https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/fluid/design/multi_devices) , [scope](https://github.com/PaddlePaddle/FluidDoc/Blob/develop/doc/fluid/design/concepts/scope.md) , [Developer's_Guide_to_Paddle_Fluid](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md )
+For further information, please refer to: [multi_devices](https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/fluid/design/multi_devices) , [scope](https://github.com/PaddlePaddle/FluidDoc/Blob/develop/doc/fluid/design/concepts/scope.md) , [Developer's_Guide_to_Paddle_Fluid](https://github.com/PaddlePaddle/FluidDoc/blob/release/1.2/doc/fluid/getstarted/Developer's_Guide_to_Paddle_Fluid.md)
 
 ### 2.Op's registration logic
 The registration entries for each Operator include:

doc/fluid/advanced_usage/development/profiling/host_memory_profiling_cn.md

@@ -16,7 +16,7 @@ gperftool主要支持以下四个功能：
 - heap-profiling using tcmalloc
 - CPU profiler
 
-Paddle也提供了基于gperftool的[CPU性能分析教程](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/howto/optimization/cpu_profiling_cn.md)。
+Paddle也提供了基于gperftool的[CPU性能分析教程](./cpu_profiling_cn.html)。
 
 对于堆内存的分析，主要用到thread-caching malloc和heap-profiling using tcmalloc。
 

doc/fluid/advanced_usage/development/profiling/host_memory_profiling_en.md

@@ -16,7 +16,7 @@ gperftool mainly supports four functions:
 - heap-profiling using tcmalloc
 - CPU profiler
 
-Paddle also provides a [tutorial on CPU performance analysis](https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/howto/optimization/cpu_profiling_en.md) based on gperftool.
+Paddle also provides a [tutorial on CPU performance analysis](./cpu_profiling_en.html) based on gperftool.
 
 For the analysis for heap, we mainly use thread-caching malloc and heap-profiling using tcmalloc.
 

doc/fluid/advanced_usage/development/profiling/index_cn.rst

@@ -12,9 +12,7 @@
 
 本模块介绍 Fluid 使用过程中的调优方法，包括：
 
-- `如何进行基准测试 <benchmark.html>`_：介绍如何选择基准模型，从而验证模型的精度和性能
 - `CPU性能调优 <cpu_profiling_cn.html>`_：介绍如何使用 cProfile 包、yep库、Google perftools 进行性能分析与调优
-- `GPU性能调优 <gpu_profiling_cn.html>`_：介绍如何使用 Fluid 内置的定时工具、nvprof 或 nvvp 进行性能分析和调优
 - `堆内存分析和优化 <host_memory_profiling_cn.html>`_：介绍如何使用 gperftool 进行堆内存分析和优化，以解决内存泄漏的问题
 - `Timeline工具简介 <timeline_cn.html>`_ ：介绍如何使用 Timeline 工具进行性能分析和调优
 

doc/fluid/advanced_usage/development/write_docs_cn.md

@@ -172,7 +172,7 @@ pip install -r requirements.txt
 
 ## 提交修改
 
-如果您希望修改代码，请在`Paddle`仓库下参考[如何贡献代码](../development/contribute_to_paddle.html)执行操作。
+如果您希望修改代码，请在`Paddle`仓库下参考[如何贡献代码](../development/contribute_to_paddle/index_cn.html)执行操作。
 
 如果您仅修改文档：
 
@@ -193,7 +193,7 @@ pip install -r requirements.txt
 
 	3.在`FluidDoc`仓库下为您的修改提交PR
 
-提交修改与PR的步骤可以参考[如何贡献代码](../development/contribute_to_paddle.html)
+提交修改与PR的步骤可以参考[如何贡献代码](../development/contribute_to_paddle/index_cn.html)
 
 ## 帮助改进预览工具
 

doc/fluid/advanced_usage/development/write_docs_en.md

@@ -172,7 +172,7 @@ After completing the installation, you will also need to do:
 
 ## Submit changes
 
-If you wish to modify the code, please refer to [How to contribute code](contribute_to_paddle/index_en.html) under the `Paddle` repository.
+If you wish to modify the code, please refer to [How to contribute code](../development/contribute_to_paddle/index_en.html) under the `Paddle` repository.
 
 If you just modify the document:
 
@@ -193,7 +193,7 @@ If you just modify the document:
 
 3.  Pull Request for your changes in the `FluidDoc` repository
 
-The steps to submit changes and PR can refer to [How to contribute code](contribute_to_paddle/index_en.html)
+The steps to submit changes and PR can refer to [How to contribute code](../development/contribute_to_paddle/index_en.html)
 
 ## Help improve preview tool
 

doc/fluid/advanced_usage/index.rst

@@ -12,7 +12,7 @@
 
 	- `新增operator <../advanced_usage/development/new_op/index_cn.html>`_ ：介绍新增operator的方法及注意事项
 
-	- `性能调优 <../advanced_usage/development/profiling/index.html>`_ ：介绍 Fluid 使用过程中的调优方法
+	- `性能调优 <../advanced_usage/development/profiling/index_cn.html>`_ ：介绍 Fluid 使用过程中的调优方法
 
 非常欢迎您为我们的开源社区做出贡献，关于如何贡献您的代码或文档，请阅读：
 

doc/fluid/beginners_guide/install/FAQ.md

@@ -61,7 +61,7 @@
 
 - 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/paddle/scripts/paddle_build.sh)。这个脚本调用`make -j$(nproc)` 来启动和 CPU 核一样多的进程来并行编译。
+  	> 是的。我们的 Docker image 运行一个 [Bash 脚本](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/paddle_build.sh)。这个脚本调用`make -j$(nproc)` 来启动和 CPU 核一样多的进程来并行编译。
 
 - 在 Windows/MacOS 上编译很慢？
 

doc/fluid/beginners_guide/install/FAQ_en.md

@@ -80,7 +80,7 @@
 
 - Can I compile in parallel?
 
-	> Yes. Our Docker image runs a [Bash script](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/paddle/scripts/paddle_build.sh). This script calls `make -j$(nproc)` to start as many processes as the CPU cores to compile in parallel.
+	> Yes. Our Docker image runs a [Bash script](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/scripts/paddle_build.sh). This script calls `make -j$(nproc)` to start as many processes as the CPU cores to compile in parallel.
 
 - Docker needs sudo?
 

doc/fluid/beginners_guide/install/Tables.md

@@ -36,7 +36,7 @@
 	<tr>
 		<td> SWIG </td>
 		<td> 最低 2.0 </td>
-		<td>  </td>
+		<td>  </td>https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/mkldnn
 		<td> <code>apt install swig </code> 或 <code> yum install swig </code> </td>
 	</tr>
 	<tr>
@@ -211,7 +211,7 @@
 
 **BLAS**
 
-PaddlePaddle支持 [MKL](https://software.intel.com/en-us/mkl) 和 [OpenBlAS](http://www.openblas.net) 两种BLAS库。默认使用MKL。如果使用MKL并且机器含有AVX2指令集，还会下载MKL-DNN数学库，详细参考[这里](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/mkldnn#cmake) 。
+PaddlePaddle支持 [MKL](https://software.intel.com/en-us/mkl) 和 [OpenBlAS](http://www.openblas.net) 两种BLAS库。默认使用MKL。如果使用MKL并且机器含有AVX2指令集，还会下载MKL-DNN数学库，详细参考[这里](https://github.com/PaddlePaddle/Paddle/tree/release/0.11.0/doc/design/mkldnn#cmake) 。
 
 如果关闭MKL，则会使用OpenBLAS作为BLAS库。
 
@@ -531,7 +531,7 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
 ***
 
 假设您已经在当前目录（比如在/home/work）编写了一个PaddlePaddle的程序: `train.py` （可以参考
-[PaddlePaddleBook](http://www.paddlepaddle.org/docs/develop/book/01.fit_a_line/index.cn.html)
+[PaddlePaddleBook](https://github.com/PaddlePaddle/book/blob/develop/01.fit_a_line/README.cn.md)
 编写），就可以使用下面的命令开始执行训练：
 
      cd /home/work
@@ -597,7 +597,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note
 **关于AVX：**
 
 AVX是一种CPU指令集，可以加速PaddlePaddle的计算。最新的PaddlePaddle Docker镜像默认
-是开启AVX编译的，所以，如果您的电脑不支持AVX，需要单独[编译](/build_from_source_cn.html) PaddlePaddle为no-avx版本。
+是开启AVX编译的，所以，如果您的电脑不支持AVX，需要单独编译PaddlePaddle为no-avx版本。
 
 以下指令能检查Linux电脑是否支持AVX：
 

doc/fluid/beginners_guide/install/Tables_en.md

@@ -209,7 +209,7 @@
 
 **BLAS**
 
-PaddlePaddle supports two BLAS libraries, [MKL](https://software.intel.com/en-us/mkl) and [OpenBlAS](http://www.openblas.net/). MKL is used by default. If you use MKL and the machine contains the AVX2 instruction set, you will also download the MKL-DNN math library, for details please refer to [here](https://github.com/PaddlePaddle/Paddle/tree/develop/doc/design/mkldnn#cmake).
+PaddlePaddle supports two BLAS libraries, [MKL](https://software.intel.com/en-us/mkl) and [OpenBlAS](http://www.openblas.net/). MKL is used by default. If you use MKL and the machine contains the AVX2 instruction set, you will also download the MKL-DNN math library, for details please refer to [here](https://github.com/PaddlePaddle/Paddle/tree/release/0.11.0/doc/design/mkldnn#cmake).
 
 If you close MKL, OpenBLAS will be used as the BLAS library.
 
@@ -565,7 +565,7 @@ You can find the docker image for each release of PaddlePaddle in the [DockerHub
 
 ***
 
-Suppose you have written a PaddlePaddle program in the current directory (such as /home/work): `train.py` ( refer to [PaddlePaddleBook](http://www.paddlepaddle.org/docs/develop/book/01.fit_a_line/index.cn.html) to write), you can start the training with the following command:
+Suppose you have written a PaddlePaddle program in the current directory (such as /home/work): `train.py` ( refer to [PaddlePaddleBook](https://github.com/PaddlePaddle/book/blob/develop/01.fit_a_line/README.cn.md) to write), you can start the training with the following command:
 
 
     cd /home/work
@@ -629,7 +629,7 @@ In order to ensure that the GPU driver works properly in the image, we recommend
 
 **About AVX:**
 
-AVX is a set of CPU instructions that speeds up the calculation of PaddlePaddle. The latest PaddlePaddle Docker image is enabled by default for AVX compilation, so if your computer does not support AVX, you need to [compile](/build_from_source_cn.html) PaddlePaddle to no-avx version separately.
+AVX is a set of CPU instructions that speeds up the calculation of PaddlePaddle. The latest PaddlePaddle Docker image is enabled by default for AVX compilation, so if your computer does not support AVX, you need to compile PaddlePaddle to no-avx version separately.
 
 The following instructions can check if the Linux computer supports AVX:
 

doc/fluid/beginners_guide/install/install_Docker.md

@@ -81,9 +81,9 @@
 
 请您进入Docker容器后，执行如下命令
 
-* ***CPU版本的PaddlePaddle***: `pip uninstall paddlepaddle` 或 `pip3 uninstall paddlepaddle`
+* ***CPU版本的PaddlePaddle***: `pip uninstall paddlepaddle`
 
-* ***GPU版本的PaddlePaddle***: `pip uninstall paddlepaddle-gpu` 或 `pip3 uninstall paddlepaddle-gpu`
+* ***GPU版本的PaddlePaddle***: `pip uninstall paddlepaddle-gpu`
 
 或通过`docker rm [Name of container]`来直接删除Docker容器
 

doc/fluid/beginners_guide/programming_guide/programming_guide.md

@@ -219,9 +219,9 @@ with fluid.layers.control_flow.Switch() as switch:
 ```
 
 
-关于 Fluid 中 Program 的详细设计思想，可以参考阅读[Fluid设计思想](../../user_guides/design_idea/fluid_design_idea.html)
+关于 Fluid 中 Program 的详细设计思想，可以参考阅读[Fluid设计思想](../../advanced_usage/design_idea/fluid_design_idea.html)
 
-更多 Fluid 中的控制流，可以参考阅读[API文档](http://www.paddlepaddle.org/documentation/api/zh/1.0.0/layers.html#permalink-1-control_flow)
+更多 Fluid 中的控制流，可以参考阅读[API文档](../../api_cn/layers_cn.html#control-flow)
 
 
 ## 使用Executor执行Program

doc/fluid/beginners_guide/programming_guide/programming_guide_en.md

@@ -223,9 +223,9 @@ with fluid.layers.control_flow.Switch() as switch:
 ```
 
 
-For detailed design principles of Program, please refer to [Design principle of Fluid](../../user_guides/design_idea/fluid_design_idea_en.html).
+For detailed design principles of Program, please refer to [Design principle of Fluid](../../advanced_usage/design_idea/fluid_design_idea_en.html).
 
-For more about control flow in Fluid, please refer to [Control Flow](../../api_guides/low_level/layers/control_flow_en.html).
+For more about control flow in Fluid, please refer to [Control Flow](../../api/layers.html#control-flow).
 
 
 ## Use Executor to run Program

doc/fluid/release_note.rst

@@ -32,7 +32,7 @@ Paddle Fluid v1.3
 	* 新增QuantizationTransformPass，此为Quantization Aware Training量化模式训练前的图修改操作部分。
 * 内存和显存方面的优化
 	* 新增支持在编译时加入 Jemalloc 作为动态链接库，提升内存管理的性能，降低基础框架内存管理开销
-	*新增memory optimize，inplace pass, memory pool early deletion等显存优化策略。
+	* 新增memory optimize，inplace pass, memory pool early deletion等显存优化策略。
 	* 新增支持网络无锁更新的Pass。
 	* 新增QuantizationTransformPass，此为Quantization Aware Training量化模式训练前的图修改操作部分。
 * Operator整体层面的优化
@@ -100,7 +100,7 @@ Paddle Fluid v1.3
 
 模型建设
 ==========
-* addleCV 智能视觉
+* PaddleCV 智能视觉
 	* 新增发布PaddlePaddle视频模型库，包括五个视频分类模型：Attention Cluster、NeXtVLAD、LSTM,、stNet、TSN。提供适合视频分类任务的通用骨架代码，包括数据读取和预处理、训练和预测、网络模型以及指标计算等多个模块。用户根据需要添加自己的网络模型，直接复用其他模块的代码，快速部署模型。
 	* 新增支持目标检测Mask R-CNN模型，效果与主流实现打平。
 	* 语义分割DeepLabV3+模型，depthwise_conv op融合，显存优化，显存占用对比上一版本减少50%。

doc/fluid/user_guides/howto/evaluation_and_debugging/debug/visualdl.md

@@ -163,7 +163,7 @@ python setup.py bdist_wheel
 pip install --upgrade dist/visualdl-*.whl
 ```
 
-如果打包和安装遇到其他问题，不安装只想运行Visual DL可以看[这里](https://github.com/PaddlePaddle/VisualDL/blob/develop/docs/how_to_dev_frontend_en.md)
+如果打包和安装遇到其他问题，不安装只想运行Visual DL可以看[这里](https://github.com/PaddlePaddle/VisualDL/blob/develop/docs/develop/how_to_dev_frontend_cn.md)
 
 
 ## SDK

doc/fluid/user_guides/howto/evaluation_and_debugging/debug/visualdl_en.md

@@ -174,7 +174,7 @@ pip install --upgrade dist/visualdl-*.whl
 ```
 
 If there are still issues regarding the ```pip install```, you can still start Visual DL by starting the dev server
-[here](https://github.com/PaddlePaddle/VisualDL/blob/develop/docs/how_to_dev_frontend_en.md)
+[here](https://github.com/PaddlePaddle/VisualDL/blob/develop/docs/develop/how_to_dev_frontend_en.md)
 
 
 ## SDK