Compile on MacOS from Source Code

This instruction will show you how to compile PaddlePaddle on 64-bit desktops or laptops and MacOS systems. The MacOS systems we support need to meet the following requirements:

  • MacOS 10.12/10.13/10.14 (this involves whether the related tools can be installed normally)

Determine which version to compile

  • Only PaddlePaddle for CPU is supported.

Choose a compilation method

Under the MacOS 10.12/10.13/10.14 system we offer 2 ways to compile:

  • Docker source compilation (this image already contains python2.7, python3.6, python3.7 environment)

  • Direct source code compilation

We recommend using Docker for compilation because we are installing both the tools and the configuration in a Docker image. This way, if you encounter problems, others can reproduce the problem to help. In addition, for developers accustomed to using Windows and MacOS, there is no need to configure a cross-compilation environment using Docker. It should be emphasized that Docker does not virtualize any hardware. The compiler tools running in the Docker container are actually running directly on the native CPU and operating system. The performance is the same as installing the compiler on the machine.

Also for those who can’t install Docker for a variety of reasons, we also provide a way to compile directly from local sources, but since the situation on this machine is more complicated, we only support specific systems.

Compile with Docker

In order to better use Docker and avoid problems, we recommend using the highest version of Docker. For details on installing and using Docker, please refer to the official Docker documentation.

Please note that running Docker on MacOS requires logging in with your dockerID, otherwise an Authenticate Failed error will occur.

Once you have properly installed Docker, you can start compiling PaddlePaddle with Docker:

  1. Enter the terminal of the Mac

  2. Please select the path where you want to store PaddlePaddle, and then use the following command to clone PaddlePaddle’s source code from github to a folder named Paddle in the local current directory:

    git clone

  3. Go to the Paddle directory: cd Paddle

  4. Take advantage of the image we provided (with this command you don’t have to download the image in advance):

    docker run --name paddle-test -v $PWD:/paddle --network=host -it /bin/bash

    –name paddle-test Name the Docker container you created as paddle-test, -v $PWD:/paddle mount the current directory to the /paddle directory in the Docker container (the PWD variable in Linux will expand to the current path’s Absolute path), -it keeps interacting with the host, creates a Docker container with a mirror named, /bin /bash starts the /bin/bash command after entering the container.

  5. After entering Docker, go to the paddle directory: cd paddle

  6. Switch to a more stable version to compile:

    git checkout v1.1

  7. Create and enter the /paddle/build path:

    mkdir -p /paddle/build && cd /paddle/build

  8. Use the following command to install the dependencies: (For Python3: Please select the pip for the python version you wish to use, such as pip3.5, pip3.6)

     For Python2: pip install protobuf==3.1.0
     For Python3: pip3.5 install protobuf==3.1.0

    Install protobuf 3.1.0.

    apt install patchelf

    Installing patchelf, PatchELF is a small and useful program for modifying the dynamic linker and RPATH of ELF executables.

  9. Execute cmake:

    For details on the compilation options, see the compilation options table.

    • For users who need to compile the CPU version PaddlePaddle:


      We currently do not support the compilation of the GPU version PaddlePaddle under CentOS.

  10. Execute compilation:

    make -j$(nproc)

    Use multicore compilation

  11. After compiling successfully, go to the /paddle/build/python/dist directory and find the generated .whl package: cd /paddle/build/python/dist

  12. Install the compiled .whl package on the current machine or target machine: (For Python3: Please select the pip corresponding to the python version you wish to use, such as pip3.5, pip3.6)

    For Python2: pip install (whl package name)
    For Python3: pip3.5 install (whl package name)

Now that you have successfully installed PaddlePaddle using Docker, you only need to run PaddlePaddle after entering the Docker container. For more Docker usage, please refer to the official Docker documentation.

Note: In order to reduce the size, vim is not installed in PaddlePaddle Docker image by default. You can edit the code in the container after executing apt-get install -y vim in the container.

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

Native compilation

Please strictly follow the order of the following instructions

  1. Check that your computer and operating system meet our supported compilation standards: uname -m and view the system version about this Mac. And install openCV in advance.

  2. Install python and pip:

    Please do not use the Python initially given by MacOS, we strongly recommend that you use Homebrew to install python (for Python3 please use python official download python3.5.x, python3.6.x, python3.7.x), pip and other dependencies, This will greatly reduce the difficulty of installing and compiling.

     For python2: brew install python@2
     For python3: Install using Python official website

    Please note that when you have multiple pythons installed on your mac, make sure that the python you are using is the python you wish to use.

  3. (Only For Python2) Set Python-related environment variables:

    • Use find / -name libpython2.7.dylib to find your current python libpython2.7.dylib path and use export LD_LIBRARY_PATH=[libpython2.7.dylib path] && export DYLD_LIBRARY_PATH=[libpython2.7.dylib  to the top two directories of the directory]

  4. (Only For Python3) Set Python-related environment variables:

    • a. First use find `dirname $(dirname $(which python3))` -name "libpython3.*.dylib" to find the path to Pythonlib (the first one it prompts is the dylib path for the python you need to use), then (below [python-lib-path] is replaced by finding the file path)

    • b. Set PYTHON_LIBRARIES: export PYTHON_LIBRARY=[python-lib-path]

    • c. Secondly use the path to find PythonInclude (usually find the above directory of [python-lib-path] as the include of the same directory, then find the path of python3.x or python2.x in the directory), then (the [python-include-path] in the following commands should be replaced by the path found here)

    • d. Set PYTHON_INCLUDE_DIR: export PYTHON_INCLUDE_DIRS=[python-include-path]

    • e. Set the system environment variable path: export PATH=[python-bin-path]:$PATH (here [python-bin-path] is the result of replacing the last two levels of [python-lib-path] with the path after /bin/ )

    • f. Set the dynamic library link: export LD_LIBRARY_PATH=[python-ld-path] and export DYLD_LIBRARY_PATH=[python-ld-path] (here [python-ld-path] is the [python-bin-path]’s parent directory )

    • g. (Optional) If you are compiling PaddlePaddle on MacOS 10.14, make sure you have the appropriate version of Xcode installed.

  5. Before compilation, please confirm that the relevant dependencies mentioned in the compilation dependency table are installed in your environment, otherwise we strongly recommend using Homebrew to install related dependencies.

    Under MacOS, if you have not modified or installed the dependencies mentioned in the “Compile Dependency Table”, you only need to use pip to install numpy, protobuf, wheel, use homebrew to install wget, swig,then install cmake.

    • a. Here is a special description of the installation of CMake:

      Since we are using CMake3.4 please follow the steps below:

      1. Download the CMake image from the official CMake website and install it.

      2. Enter sudo "/Applications/" –install in the console

    • b. If you do not want to use the system default blas and want to use your own installed OPENBLAS please read FAQ

  6. Put the PaddlePaddle source cloned in the Paddle folder in the current directory and go to the Paddle directory:

    • git clone

    • cd Paddle

  7. Switch to a more stable release branch to compile: (Note that python 3.6, python 3.7 version are supported from the 1.2 branch)

    git checkout release/1.2

  8. And please create and enter a directory called build:

    mkdir build && cd build

  9. Execute cmake:

    For details on the compilation options, see the compilation options table.

    • For users who need to compile the CPU version PaddlePaddle:


    -DPY_VERSION=3.5 Please change to the Python version of the installation environment.

  10. Compile with the following command:

    make -j4

  11. After compiling successfully, go to the /paddle/build/python/dist directory and find the generated .whl package: cd /paddle/build/python/dist

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

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

    If you have multiple python environments and pips installed on your computer, please see the FAQ.

Congratulations, now you have completed the process of compiling PaddlePaddle using this machine.

Verify installation

After the installation is complete, you can use python to enter the Python interpreter and then use import paddle.fluid to verify that the installation was successful.

How to uninstall

Please use the following command to uninstall PaddlePaddle (users who use Docker to install PaddlePaddle should use the following command in the container containing PaddlePaddle. Please use the corresponding version of pip):

  • CPU version of PaddlePaddle: pip uninstall paddlepaddle or pip3 uninstall paddlepaddle