# **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:

* Windows 10 Professional Edition / Enterprise Edition
* Visual Studio 2015 Update3

## Choose a compilation method

We provide one compilation method under the Windows system:

* Direct source code compilation

Since the situation on host machine is more complicated, we only support specific systems.

Please note: The current version does not support NCCL and distributed related functions.


### ***Local compilation***

**Please strictly follow the following instructions step by step**

1. Check that your computer and operating system meet our supported compilation standards

    * Windows 10 Professional Edition / Enterprise Edition

    * Visual Studio 2015 Update3

2. Install the necessary tools i.e. cmake, git and python :

    > 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/).

    > Git can be downloaded on the official website and added to the environment variable. [Download here](https://gitforwindows.org/).

    > 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 numpy package you can use command `pip install numpy` or command `pip3 install numpy`

        * To Install protobuf package you can use command `pip install protobuf` or command `pip3 install protobuf`

        * To Install Wheel package you can use command `pip install wheel` or `pip3 install wheel`


3. Clone the PaddlePaddle source in the Paddle folder in the current directory and go to the Paddle directory:

    - `git clone https://github.com/PaddlePaddle/Paddle.git`
    - `cd Paddle`

4. Switch to a more stable release branch for compilation :

    - `git checkout release/1.5`

5. Create a directory called build and enter it:

    - `mkdir build`
    - `cd build`

6. 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`


        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`


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.

8. Use Blend for Visual Studio 2015 to open `paddle.sln` file, select the platform `x64`, configure with `Release`, then begin to compile

9. Having compiled successfully, go to the `\paddle\build\python\dist`directory and find the generated `.whl` package:

    `cd \paddle\build\python\dist`

10. Install the compiled `.whl` package on the current machine or target machine:

     `pip install (whl package name)` or `pip3 install (whl package name)`

Congratulations, now you have completed the process of compiling PaddlePaddle natively.


### ***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.

### ***How to uninstall***

Please use the following command to uninstall PaddlePaddle:

* ***CPU version of PaddlePaddle*** : `pip uninstall paddlepaddle` or `pip3 uninstall paddlepaddle`

* ***GPU version of PaddlePaddle*** : `pip uninstall paddlepaddle-gpu` or `pip3 uninstall paddlepaddle-gpu`