Synchronize the English compilation and installation doc with chinese…

…,test=develop (PaddlePaddle#1920)

Synchronize the English compilation and installation doc with chinese.

doc/fluid/install/compile/compile_Windows.md

@@ -2,8 +2,9 @@
 
 ## 环境准备
 
-* **Windows 7/8/10 专业版/企业版 (64bit) (GPU版本支持CUDA 9.0/10.0, 且仅支持单卡)**
-* **Python 版本 2.7/3.5.1+/3.6/3.7 (64 bit)**
+* **Windows 7/8/10 专业版/企业版 (64bit)**
+    * **GPU版本支持CUDA 9.0/9.1/9.2/10.0/10.1，且仅支持单卡**
+* **Python 版本 2.7.15+/3.5.1+/3.6/3.7 (64 bit)**
 * **pip 版本 9.0.1+ (64 bit)**
 * **Visual Studio 2015 Update3**
 
@@ -12,7 +13,7 @@
 * 如果您的计算机没有 NVIDIA® GPU，请编译CPU版的PaddlePaddle
 
 * 如果您的计算机有NVIDIA® GPU，并且满足以下条件，推荐编译GPU版的PaddlePaddle
-    * **CUDA 工具包9.0/10.0配合cuDNN v7.3+**
+    * **CUDA 工具包 9.0/9.1/9.2/10.0/10.1 配合 cuDNN v7.3+**
     * **GPU运算能力超过1.0的硬件设备**
 
 ## 安装步骤
@@ -30,15 +31,17 @@
 
     > python 需要 2.7 及以上版本, 可在官网[下载](https://www.python.org/download/releases/2.7/)。
 
-    > 需要安装`numpy, protobuf, wheel` 。python2.7下, 请使用`pip`命令; 如果是python3.x, 请使用`pip3`命令。
+        * 安装完python 后请通过 `python --version` 检查python版本是否是预期版本，因为您的计算机可能安装有多个python，您可通过修改环境变量的顺序来处理多个python时的冲突。
 
-        * 安装 numpy 包可以通过命令 `pip install numpy` 或 `pip3 install numpy`
-        * 安装 protobuf 包可以通过命令 `pip install protobuf` 或 `pip3 install protobuf`
-        * 安装 wheel 包可以通过命令 `pip install wheel` 或 `pip3 install wheel`
+    > 需要安装`numpy, protobuf, wheel` 。 请使用`pip`命令;
+
+        * 安装 numpy 包可以通过命令 `pip install numpy`
+        * 安装 protobuf 包可以通过命令 `pip install protobuf`
+        * 安装 wheel 包可以通过命令 `pip install wheel`
 
     > git可以在官网[下载](https://gitforwindows.org/)，并添加到环境变量中。
 
-2. 将PaddlePaddle的源码clone在当下目录下的Paddle的文件夹中，并进入Padde目录下：
+2. 将PaddlePaddle的源码clone在当前目录下的Paddle的文件夹中，并进入Padde目录下：
 
     - `git clone https://github.com/PaddlePaddle/Paddle.git`
     - `cd Paddle`
@@ -49,7 +52,7 @@
 
     例如：
 
-    `git checkout release/1.5`
+    `git checkout release/1.7`
 
     注意：python3.6、python3.7版本从release/1.2分支开始支持
 
@@ -76,9 +79,9 @@
 
     如果你的设备信息包含多个Python或CUDA版本，你也可以通过设置路径变量，来指定特定版本的Python或CUDA：
 
-    > -DPYTHON_EXECUTABLE 为python的可执行程序(python.exe)的路径
+    > -DPYTHON_EXECUTABLE: python的安装目录
 
-    > -DCUDA_TOOLKIT_ROOT_DIR 为cuda安装目录的根路径
+    > -DCUDA_TOOLKIT_ROOT_DIR: cuda的安装目录
 
     例如：（仅作示例，请根据你的设备路径信息进行设置）
 
@@ -90,9 +93,9 @@
 
     `cd \Paddle\build\python\dist`
 
-8. 在当前机器或目标机器安装编译好的 `.whl` 包：
+8. 安装编译好的 `.whl` 包：
 
-    `pip install -U（whl包的名字）` 或 `pip3 install -U（whl包的名字）`
+    `pip install -U（whl包的名字）`
 
 恭喜，至此您已完成PaddlePaddle的编译安装
 
@@ -105,8 +108,7 @@
 ## **如何卸载**
 请使用以下命令卸载PaddlePaddle：
 
-* **CPU版本的PaddlePaddle**: `pip uninstall paddlepaddle` 或 `pip3 uninstall paddlepaddle`
+* **CPU版本的PaddlePaddle**: `python -m pip uninstall paddlepaddle`
 
-* **GPU版本的PaddlePaddle**: `pip uninstall paddlepaddle-gpu` 或 `pip3 uninstall paddlepaddle-gpu`
+* **GPU版本的PaddlePaddle**: `python -m pip uninstall paddlepaddle-gpu`
 
-使用Docker安装PaddlePaddle的用户，请进入包含PaddlePaddle的容器中使用上述命令，注意使用对应版本的pip

doc/fluid/install/compile/compile_Windows_en.md

@@ -1,99 +1,118 @@
 # **Compile on Windows from Source Code**
 
-This instruction will show you how to compile PaddlePaddle on a *64-bit desktop or laptop* and Windows 10. The Windows systems we support must meet the following requirements:
+## Environment preparation
 
-* Windows 10 Professional Edition / Enterprise Edition
-* Visual Studio 2015 Update3
+* **Windows 7/8/10 Pro/Enterprise(64bit)**
+    * **GPU Version support CUDA 9.0/9.1/9.2/10.0/10.1, and only support single GPU**
+* **Python version 2.7.15+/3.5.1+/3.6/3.7(64bit)**
+* **pip version 9.0.1+(64bit)**
+* **Visual Studio 2015 Update3**
 
-## Choose a compilation method
+## Choose CPU/GPU
 
-We provide one compilation method under the Windows system:
+* If your computer doesn't have NVIDIA® GPU, please install CPU version of PaddlePaddle
 
-* Direct source code compilation
+* If your computer has NVIDIA® GPU, and the following conditions are met，GPU version of PaddlePaddle is recommended.
+    * **CUDA toolkit 9.0/9.1/9.2/10.0/10.1 with cuDNN v7.3+**
+    * **GPU's computing capability exceeds 1.0**
 
-Since the situation on host machine is more complicated, we only support specific systems.
+## Installation steps
 
-Please note: The current version does not support NCCL and distributed related functions.
+There is one compilation methods in Windows system:
 
+* Direct native source code compilation(NCCL, distributed and other related functions are not supported temporarily)
 
-### ***Local compilation***
+<a name="win_source"></a>
+### ***Direct native source code compilation***
 
 **Please strictly follow the following instructions step by step**
 
-1. Check that your computer and operating system meet our supported compilation standards
+1. Install the necessary tools i.e. cmake, git and python:
 
-    * Windows 10 Professional Edition / Enterprise Edition
+    > Cmake requires version 3.5 and above, which can be downloaded from the [official website](https://cmake.org/download/) and added to the environment variable. 
 
-    * Visual Studio 2015 Update3
+    > Python requires version 2.7 and above,  which can be downloaded from the [official website](https://www.python.org/download/releases/2.7/).
 
-2. Install the necessary tools i.e. cmake, git and python :
+        * After installing python, please check whether the python version is the expected version by `python-version`, because you may have more than one python installed on your computer. You can handle conflicts of multiple pythons by changing the order of the environment variables.
 
-    > Cmake requires version 3.0 and above, which can be downloaded from the official website and added to the environment variable. [Download here](https://cmake.org/download/).
+    > `numpy, protobuf, wheel` are needed to be installed. Use the 'pip' command.
 
-    > Git can be downloaded on the official website and added to the environment variable. [Download here](https://gitforwindows.org/).
+        * To Install numpy package you can use command `pip install numpy`
 
-    > Python requires version 2.7 and above, and ensure that modules such as numpy, protobuf, wheel are installed. [Download here](https://www.python.org/download/releases/2.7/).
+        * To Install protobuf package you can use command `pip install protobuf`
 
+        * To Install Wheel package you can use command `pip install wheel`
 
-        * To Install numpy package you can use command `pip install numpy` or command `pip3 install numpy`
+    > Git can be downloaded on the [official website](https://gitforwindows.org/) and added to the environment variable. 
 
-        * To Install protobuf package you can use command `pip install protobuf` or command `pip3 install protobuf`
+2. Clone the PaddlePaddle source code to the Paddle subdirectories of the current directory and go to the Paddle subdirectories:
 
-        * To Install Wheel package you can use command `pip install wheel` or `pip3 install wheel`
+    - `git clone https://github.com/PaddlePaddle/Paddle.git`
+    - `cd Paddle`
 
+3. Switch to a more stable release branch for compilation:
 
-3. Clone the PaddlePaddle source in the Paddle folder in the current directory and go to the Paddle directory:
+    `git checkout [name of the branch]`
 
-    - `git clone https://github.com/PaddlePaddle/Paddle.git`
-    - `cd Paddle`
+    For example：
 
-4. Switch to a more stable release branch for compilation :
+    `git checkout release/1.7`
 
-    - `git checkout release/1.5`
+    Note: python3.6、python3.7 version started supporting from release/1.2
 
-5. Create a directory called build and enter it:
+4. Create a directory called build and enter it:
 
     - `mkdir build`
     - `cd build`
 
-6. Execute cmake:
+5. Execute cmake:
 
     > For details on the compilation options, see [the compilation options list](../Tables.html/#Compile).
     * For users who need to compile **the CPU version PaddlePaddle**:
 
-        For Python2:`cmake .. -G "Visual Studio 14 2015 Win64" -DPYTHON_INCLUDE_DIR = $ {PYTHON_INCLUDE_DIRS}
-            -DPYTHON_LIBRARY = $ {PYTHON_LIBRARY}
-            -DPYTHON_EXECUTABLE = $ {PYTHON_EXECUTABLE} -DWITH_FLUID_ONLY = ON -DWITH_GPU = OFF -DWITH_TESTING = OFF -DCMAKE_BUILD_TYPE =Release`
+    `cmake .. -G "Visual Studio 14 2015 Win64" -DWITH_GPU=OFF -DWITH_TESTING=OFF -DCMAKE_BUILD_TYPE=Release`
 
+    * For users who need to compile **the GPU version PaddlePaddle**:
 
-        For Python3: `cmake .. -G "Visual Studio 14 2015 Win64" -DPY_VERSION = 3.5 -DPYTHON_INCLUDE_DIR = $ {PYTHON_INCLUDE_DIRS}
-            -DPYTHON_LIBRARY = $ {PYTHON_LIBRARY}
-            -DPYTHON_EXECUTABLE = $ {PYTHON_EXECUTABLE} -DWITH_FLUID_ONLY = ON -DWITH_GPU = OFF -DWITH_TESTING =OFF -DCMAKE_BUILD_TYPE=Release`
+    `cmake .. -G "Visual Studio 14 2015 Win64" -DWITH_GPU=ON -DWITH_TESTING=OFF -DCMAKE_BUILD_TYPE=Release`
 
+    Python2 by default，Python3 please add：
 
-7. Some third-party dependencies (openblas, snappystream) currently require users to provide pre-compiled versions, or download pre-compiled files from `https://github.com/wopeizl/Paddle_deps` and place the entire `third_party` folder in the `build` directory.
+    > -DPY_VERSION=3 (or 3.5、3.6、3.7)
 
-8. Use Blend for Visual Studio 2015 to open `paddle.sln` file, select the platform `x64`, configure with `Release`, then begin to compile
+    If your device information contains multiple Python or CUDA, you can also specify a specific version of Python or CUDA by setting the corresponding compile options:
 
-9. Having compiled successfully, go to the `\paddle\build\python\dist`directory and find the generated `.whl` package:
+    > -DPYTHON_EXECUTABLE: the installation path of python
 
-    `cd \paddle\build\python\dist`
+    > -DCUDA_TOOLKIT_ROOT_DIR: the installation path of CUDA
+
+    For example: (for instance only, please set it according to your actual installation path)
 
-10. Install the compiled `.whl` package on the current machine or target machine:
+    `cmake .. -G "Visual Studio 14 2015 Win64" -DCMAKE_BUILD_TYPE=Release -DWITH_GPU=ON -DWITH_TESTING=OFF -DPYTHON_EXECUTABLE=C:\\Python36\\python.exe -DCUDA_TOOLKIT_ROOT_DIR="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\v10.0"`
 
-     `pip install (whl package name)` or `pip3 install (whl package name)`
+6. Use Blend for Visual Studio 2015 to open `paddle.sln` file, select the platform `x64`, configure with `Release`, then begin to compile
 
-Congratulations, now you have completed the process of compiling PaddlePaddle natively.
+7. After compilation successfully, go to the `\paddle\build\python\dist` directory and find the generated `.whl` package:
 
+    `cd \paddle\build\python\dist`
+
+8. Install the generated `.whl` package:
+
+     `pip install -U (whl package name)`
+
+Congratulations, you have completed the process of compiling PaddlePaddle successfully!
 
 ### ***Verify installation***
 
-After the installation is complete, you can use: `python` to enter the Python interpreter and then use `import paddle.fluid`. If there is no error prompted, the installation is successful.
+After the compilation and installation is completed, you can use `python` to enter the Python interface, input `import paddle.fluid as fluid` and then `fluid.install_check.run_check()` to verify that the installation was successful.
+
+If `Your Paddle Fluid is installed succesfully!` appears, it means the compilation and installation was successful.
+
 
 ### ***How to uninstall***
 
 Please use the following command to uninstall PaddlePaddle:
 
-* ***CPU version of PaddlePaddle*** : `pip uninstall paddlepaddle` or `pip3 uninstall paddlepaddle`
+* ***CPU version of PaddlePaddle*** : `pip uninstall paddlepaddle`
 
-* ***GPU version of PaddlePaddle*** : `pip uninstall paddlepaddle-gpu` or `pip3 uninstall paddlepaddle-gpu`
+* ***GPU version of PaddlePaddle*** : `pip uninstall paddlepaddle-gpu`