Build PaddlePaddle for Raspberry Pi
You may use any of the following two approaches to build the inference library of PaddlePaddle for Raspberry Pi:
Build using SSH: Log in to a Raspberry Pi using SSH and build the library. The required development tools and third-party dependencies are listed in here:
Cross-compile: We talk about how to cross-compile PaddlePaddle for Raspberry Pi on a Linux/x64 machine, in more detail in this article.
The Cross-Compiling Toolchain
Step 1. Clone the Github repo by running the following command.
git clone https://github.com/raspberrypi/tools.git
Step 2. Use the pre-built cross-compiler found in
./tools/tree/master/arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64. To run it on a Linux computer, glibc version >= 2.14 is needed.
Some important arguments that need to be set:
CMAKE_SYSTEM_NAME: The target platform. Must be
RPI_TOOLCHAIN: The absolute path of the cross-compiling toolchain.
RPI_ARM_NEON: Use ARM NEON Intrinsics. This is a required argument and set default to
HOST_C/CXX_COMPILER: The C/C++ compiler for the host. It is used to build building tools running on the host, for example, protoc.
A commonly-used CMake configuration is as follows:
cmake -DCMAKE_SYSTEM_NAME=RPi \ -DRPI_TOOLCHAIN=your/path/to/arm-bcm2708/gcc-linaro-arm-linux-gnueabihf-raspbian-x64 \ -DRPI_ARM_NEON=ON \ -DCMAKE_INSTALL_PREFIX=your/path/to/install \ -DWITH_GPU=OFF \ -DWITH_C_API=ON \ -DWITH_PYTHON=OFF \ -DWITH_SWIG_PY=OFF \ ..
To build the inference library, please set the argument WITH_C_API to ON:
You can add more arguments. For example, to minimize the size of the generated inference library, you may use
CMAKE_BUILD_TYPE=MinSizeRel. For performance optimization, you may use
Build and Install
The following commands build the inference library of PaddlePaddle for Raspberry Pi and third-party dependencies.
make make install
The intermediate files will be stored in
build. Third-party libraries will be located in
build/third_party. If you have already built it for other platforms like Android or iOS, you may want to clear these directories by running the command:
rm -rf build.
The infernece library will be in
your/path/to/install/lib, with related header files in