# How to use the Android NDK to build ArmNN * [Introduction](#introduction) * [Download the Android NDK and make a standalone toolchain](#downloadNDK) * [Build the Boost C++ libraries](#buildBoost) * [Build the Compute Library](#buildCL) * [Build Google's Protobuf library](#buildProtobuf) * [Download TensorFlow](#downloadTF) * [Build ArmNN](#buildArmNN) * [Run ArmNN UnitTests on an Android device](#runArmNNUnitTests) #### Introduction These are step by step instructions for using the Android NDK to build ArmNN. They have been tested on a clean install of Ubuntu 18.04, and should also work with other OS versions. The instructions show how to build the ArmNN core library and the optional TensorFlow parser. All downloaded or generated files will be saved inside the `~/armnn-devenv` directory. #### Download the Android NDK and make a standalone toolchain * Download the Android NDK from [the official website](https://developer.android.com/ndk/downloads/index.html): ```bash mkdir -p ~/armnn-devenv/toolchains cd ~/armnn-devenv/toolchains # For Mac OS, change the NDK download link accordingly. wget https://dl.google.com/android/repository/android-ndk-r16b-linux-x86_64.zip unzip android-ndk-r16b-linux-x86_64.zip export NDK=~/armnn-devenv/toolchains/android-ndk-r16b ``` You may want to append `export NDK=~/armnn-devenv/toolchains/android-ndk-r16b` to your `~/.bashrc` (or `~/.bash_profile` in Mac OS). * Make a standalone toolchain: (Requires python if not previously installed: `sudo apt install python`) ```bash # Create an arm64 API 26 libc++ toolchain. $NDK/build/tools/make_standalone_toolchain.py \ --arch arm64 \ --api 26 \ --stl=libc++ \ --install-dir=$HOME/armnn-devenv/toolchains/aarch64-android-r16b export PATH=$HOME/armnn-devenv/toolchains/aarch64-android-r16b/bin:$PATH ``` You may want to append `export PATH=$HOME/armnn-devenv/toolchains/aarch64-android-r16b/bin:$PATH` to your `~/.bashrc` (or `~/.bash_profile` in Mac OS). #### Build the Boost C++ libraries * Download Boost version 1.64: ```bash mkdir ~/armnn-devenv/boost cd ~/armnn-devenv/boost wget https://dl.bintray.com/boostorg/release/1.64.0/source/boost_1_64_0.tar.bz2 tar xvf boost_1_64_0.tar.bz2 ``` * Build: (Requires gcc if not previously installed: `sudo apt install gcc`) ```bash echo "using gcc : arm : aarch64-linux-android-clang++ ;" > $HOME/armnn-devenv/boost/user-config.jam cd ~/armnn-devenv/boost/boost_1_64_0 ./bootstrap.sh --prefix=$HOME/armnn-devenv/boost/install ./b2 install --user-config=$HOME/armnn-devenv/boost/user-config.jam \ toolset=gcc-arm link=static cxxflags=-fPIC --with-filesystem \ --with-test --with-log --with-program_options -j16 ``` #### Build the Compute Library * Clone the Compute Library: (Requires Git if not previously installed: `sudo apt install git`) ``` bash cd ~/armnn-devenv git clone https://github.com/ARM-software/ComputeLibrary.git ``` * Build: (Requires SCons if not previously installed: `sudo apt install scons`) ```bash cd ComputeLibrary scons arch=arm64-v8a neon=1 opencl=1 embed_kernels=1 extra_cxx_flags="-fPIC" \ benchmark_tests=0 validation_tests=0 os=android -j16 ``` #### Build Google's Protobuf library * Clone protobuf: ```bash mkdir ~/armnn-devenv/google cd ~/armnn-devenv/google git clone https://github.com/google/protobuf.git cd protobuf git checkout -b v3.5.2 v3.5.2 ``` * Build a native (x86) version of the protobuf libraries and compiler (protoc): (Requires cUrl, autoconf, llibtool, and other build dependencies if not previously installed: `sudo apt install curl autoconf libtool build-essential g++`) ```bash ./autogen.sh mkdir x86_build cd x86_build ../configure --prefix=$HOME/armnn-devenv/google/x86_pb_install make install -j16 cd .. ``` * Build the arm64 version of the protobuf libraries: ```bash mkdir arm64_build cd arm64_build CC=aarch64-linux-android-clang \ CXX=aarch64-linux-android-clang++ \ CFLAGS="-fPIE -fPIC" LDFLAGS="-pie -llog" \ ../configure --host=aarch64-linux-android \ --prefix=$HOME/armnn-devenv/google/arm64_pb_install \ --with-protoc=$HOME/armnn-devenv/google/x86_pb_install/bin/protoc make install -j16 cd .. ``` #### Download TensorFlow * Clone TensorFlow source code: ```bash cd ~/armnn-devenv/google/ git clone https://github.com/tensorflow/tensorflow.git ``` #### Build ArmNN * Clone ArmNN source code: ```bash cd ~/armnn-devenv/ git clone https://github.com/ARM-software/armnn.git ``` * Generate TensorFlow protobuf definitions: ```bash cd ~/armnn-devenv/google/tensorflow ~/armnn-devenv/armnn/scripts/generate_tensorflow_protobuf.sh \ $HOME/armnn-devenv/google/tf_pb $HOME/armnn-devenv/google/x86_pb_install ``` * Build ArmNN: (Requires CMake if not previously installed: `sudo apt install cmake`) ```bash mkdir ~/armnn-devenv/armnn/build cd ~/armnn-devenv/armnn/build CXX=aarch64-linux-android-clang++ \ CC=aarch64-linux-android-clang \ CXX_FLAGS="-fPIE -fPIC" \ cmake .. \ -DCMAKE_SYSTEM_NAME=Linux \ -DCMAKE_EXE_LINKER_FLAGS=-pie \ -DARMCOMPUTE_ROOT=$HOME/armnn-devenv/ComputeLibrary/ \ -DARMCOMPUTE_BUILD_DIR=$HOME/armnn-devenv/ComputeLibrary/build \ -DBOOST_ROOT=$HOME/armnn-devenv/boost/install/ \ -DARMCOMPUTENEON=1 -DARMCOMPUTECL=1 \ -DTF_GENERATED_SOURCES=$HOME/armnn-devenv/google/tf_pb/ -DBUILD_TF_PARSER=1 \ -DPROTOBUF_ROOT=$HOME/armnn-devenv/google/arm64_pb_install/ make -j16 ``` #### Run the ArmNN unit tests on an Android device * Push the build results to an Android device and make symbolic links for shared libraries: ```bash adb push libarmnnTfParser.so libarmnn.so UnitTests \ $NDK/sources/cxx-stl/llvm-libc++/libs/arm64-v8a/libc++_shared.so \ /data/local/tmp/ adb push $HOME/armnn-devenv/google/arm64_pb_install/lib/libprotobuf.so \ /data/local/tmp/libprotobuf.so.15.0.1 adb shell 'ln -s libprotobuf.so.15.0.1 /data/local/tmp/libprotobuf.so.15' adb shell 'ln -s libprotobuf.so.15.0.1 /data/local/tmp/libprotobuf.so' ``` * Run ArmNN unit tests: ```bash adb shell 'LD_LIBRARY_PATH=/data/local/tmp /data/local/tmp/UnitTests' ``` If libarmnnUtils.a is present in `~/armnn-devenv/armnn/build/` and the unit tests run without failure then the build was successful.