How to Cross-Compile Arm NN on x86_64 for arm64

Introduction

These are the step by step instructions on Cross-Compiling Arm NN under an x86_64 system to target an Arm64 system. This build flow has been tested with Ubuntu 18.04 and it depends on the same version of Ubuntu or Debian being installed on both the build host and target machines. The instructions assume you are using a bash shell and show how to build the Arm NN core library, Protobuf, Tflite, Flatbuffer and Compute Libraries. Start by creating a directory to contain all components:

''' mkdir $HOME/armnn-devenv cd $HOME/armnn-devenv '''

Cross-compiling ToolChain

  • Install the standard cross-compilation libraries for arm64:
sudo apt install crossbuild-essential-arm64

Build and install Google's Protobuf library

We support protobuf version 3.12.0

git clone -b v3.12.0 https://github.com/google/protobuf.git protobuf
cd protobuf
git submodule update --init --recursive
./autogen.sh
  • Build a native (x86_64) 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++)
mkdir x86_64_build
cd x86_64_build
../configure --prefix=$HOME/armnn-devenv/google/x86_64_pb_install
make install -j16
cd ..
  • Build the arm64 version of the protobuf libraries:
mkdir arm64_build
cd arm64_build
CC=aarch64-linux-gnu-gcc \
CXX=aarch64-linux-gnu-g++ \
../configure --host=aarch64-linux \
--prefix=$HOME/armnn-devenv/google/arm64_pb_install \
--with-protoc=$HOME/armnn-devenv/google/x86_64_pb_install/bin/protoc
make install -j16
cd ..

Build Compute Library

  • Building the Arm Compute Library:
cd $HOME/armnn-devenv
git clone https://github.com/ARM-software/ComputeLibrary.git
cd ComputeLibrary/
git checkout <tag_name>
scons arch=arm64-v8a neon=1 opencl=1 embed_kernels=1 extra_cxx_flags="-fPIC" -j4 internal_only=0

For example, if you want to checkout release tag of 21.02:

git checkout v21.02

Download ArmNN

cd $HOME/armnn-devenv
git clone https://github.com/ARM-software/armnn.git
cd armnn
git checkout <branch_name>
git pull

For example, if you want to checkout release branch of 21.02:

git checkout branches/armnn_21_02
git pull

Build Flatbuffer

  • Building Flatbuffer version 1.12.0
cd $HOME/armnn-devenv
wget -O flatbuffers-1.12.0.tar.gz https://github.com/google/flatbuffers/archive/v1.12.0.tar.gz
tar xf flatbuffers-1.12.0.tar.gz
cd flatbuffers-1.12.0
rm -f CMakeCache.txt
mkdir build
cd build
cmake .. -DFLATBUFFERS_BUILD_FLATC=1 \
     -DCMAKE_INSTALL_PREFIX:PATH=$HOME/armnn-devenv/flatbuffers \
     -DFLATBUFFERS_BUILD_TESTS=0
make all install
  • Build arm64 version of flatbuffer
cd ..
mkdir build-arm64
cd build-arm64
# Add -fPIC to allow us to use the libraries in shared objects.
CXXFLAGS="-fPIC" cmake .. -DCMAKE_C_COMPILER=/usr/bin/aarch64-linux-gnu-gcc \
     -DCMAKE_CXX_COMPILER=/usr/bin/aarch64-linux-gnu-g++ \
     -DFLATBUFFERS_BUILD_FLATC=1 \
     -DCMAKE_INSTALL_PREFIX:PATH=$HOME/armnn-devenv/flatbuffers-arm64 \
     -DFLATBUFFERS_BUILD_TESTS=0
make all install

Build Onnx

  • Building Onnx
cd $HOME/armnn-devenv
git clone https://github.com/onnx/onnx.git
cd onnx
git fetch https://github.com/onnx/onnx.git 553df22c67bee5f0fe6599cff60f1afc6748c635 && git checkout FETCH_HEAD
LD_LIBRARY_PATH=$HOME/armnn-devenv/google/x86_64_pb_install/lib:$LD_LIBRARY_PATH \
$HOME/armnn-devenv/google/x86_64_pb_install/bin/protoc \
onnx/onnx.proto --proto_path=. --proto_path=../google/x86_64_pb_install/include --cpp_out $HOME/armnn-devenv/onnx

Build TfLite

  • Building TfLite (Tensorflow version 2.5.1)
cd $HOME/armnn-devenv
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow/
git checkout tags/v2.5.1
cd ..
mkdir tflite
cd tflite
cp ../tensorflow/tensorflow/lite/schema/schema.fbs .
../flatbuffers-1.12.0/build/flatc -c --gen-object-api --reflect-types --reflect-names schema.fbs

Build Arm NN

  • Compile Arm NN for arm64:
cd $HOME/armnn-devenv/armnn
mkdir build
cd build
  • Use CMake to configure your build environment, update the following script and run it from the armnn/build directory to set up the Arm NN build:
#!/bin/bash
CXX=aarch64-linux-gnu-g++ CC=aarch64-linux-gnu-gcc cmake .. \
-DARMCOMPUTE_ROOT=$HOME/armnn-devenv/ComputeLibrary \
-DARMCOMPUTE_BUILD_DIR=$HOME/armnn-devenv/ComputeLibrary/build/ \
-DARMCOMPUTENEON=1 -DARMCOMPUTECL=1 -DARMNNREF=1 \
-DONNX_GENERATED_SOURCES=$HOME/armnn-devenv/onnx \
-DBUILD_ONNX_PARSER=1 \
-DBUILD_TF_LITE_PARSER=1 \
-DTF_LITE_GENERATED_PATH=$HOME/armnn-devenv/tflite \
-DFLATBUFFERS_ROOT=$HOME/armnn-devenv/flatbuffers-arm64 \
-DFLATC_DIR=$HOME/armnn-devenv/flatbuffers-1.12.0/build \
-DPROTOBUF_ROOT=$HOME/armnn-devenv/google/x86_64_pb_install \
-DPROTOBUF_ROOT=$HOME/armnn-devenv/google/x86_64_pb_install/ \
-DPROTOBUF_LIBRARY_DEBUG=$HOME/armnn-devenv/google/arm64_pb_install/lib/libprotobuf.so.23.0.0 \
-DPROTOBUF_LIBRARY_RELEASE=$HOME/armnn-devenv/google/arm64_pb_install/lib/libprotobuf.so.23.0.0
  • If you want to include standalone sample dynamic backend tests, add the argument to enable the tests and the dynamic backend path to the CMake command:
-DSAMPLE_DYNAMIC_BACKEND=1 \
-DDYNAMIC_BACKEND_PATHS=$SAMPLE_DYNAMIC_BACKEND_PATH
  • Run the build
make -j32

Build Standalone Sample Dynamic Backend

  • The sample dynamic backend is located in armnn/src/dynamic/sample
cd $HOME/armnn-devenv/armnn/src/dynamic/sample
mkdir build
cd build
  • Use CMake to configure your build environment, update the following script and run it from the armnn/src/dynamic/sample/build directory to set up the Arm NN build:
#!/bin/bash
CXX=aarch64-linux-gnu-g++ CC=aarch64-linux-gnu-gcc cmake .. \
-DCMAKE_CXX_FLAGS=--std=c++14 \
-DARMNN_PATH=$HOME/armnn-devenv/armnn/build/libarmnn.so
  • Run the build
make

Run Unit Tests

  • Copy the build folder to an arm64 linux machine
  • Copy the libprotobuf.so.23.0.0 library file to the build folder
  • If you enable the standalone sample dynamic tests, also copy libArm_SampleDynamic_backend.so library file to the folder specified as $SAMPLE_DYNAMIC_BACKEND_PATH when you build Arm NN
  • cd to the build folder on your arm64 machine and set your LD_LIBRARY_PATH to its current location:
cd build/
  • Create a symbolic link to libprotobuf.so.23.0.0:
ln -s libprotobuf.so.23.0.0 ./libprotobuf.so.23
  • Run the UnitTests:
LD_LIBRARY_PATH=./:$LD_LIBRARY_PATH ./UnitTests
Running 4493 test cases...

*** No errors detected

Troubleshooting and Errors:

Missing libz.so.1

  • When compiling armNN:
/usr/lib/gcc-cross/aarch64-linux-gnu/5/../../../../aarch64-linux-gnu/bin/ld: warning: libz.so.1, needed by /home/<username>/armNN/usr/lib64/libprotobuf.so.23.0.0, not found (try using -rpath or -rpath-link)
  • Missing arm64 libraries for libz.so.1, these can be added by adding a second architecture to dpkg and explicitly installing them:
sudo dpkg --add-architecture arm64
sudo apt-get install zlib1g:arm64
sudo apt-get update
sudo ldconfig
sudo dpkg -i zlib1g_1.2.8.dfsg-2ubuntu4_arm64.deb



Unable to install arm64 packages after adding arm64 architecture

deb [arch=amd64] http://archive.ubuntu.com/ubuntu/ xenial main restricted
  • Then add the following:
deb [arch=arm64] http://ports.ubuntu.com/ xenial main restricted
deb [arch=arm64] http://ports.ubuntu.com/ xenial-updates main restricted
deb [arch=arm64] http://ports.ubuntu.com/ xenial universe
deb [arch=arm64] http://ports.ubuntu.com/ xenial-updates universe
deb [arch=arm64] http://ports.ubuntu.com/ xenial multiverse
deb [arch=arm64] http://ports.ubuntu.com/ xenial-updates multiverse
deb [arch=arm64] http://ports.ubuntu.com/ xenial-backports main restricted universe multiverse
  • Update and install again:
sudo apt-get install zlib1g:arm64
sudo apt-get update
sudo ldconfig



Undefined references to google::protobuf:: functions

  • Missing or out of date protobuf compilation libraries. Use the command 'protoc --version' to check which version of protobuf is available (version 3.12.0 is required). Follow the instructions above to install protobuf 3.12.0

Errors on strict-aliasing rules when compiling the Compute Library

  • When compiling the Compute Library there are multiple errors on strict-aliasing rules:
cc1plus: error: unrecognized command line option ‘-Wno-implicit-fallthrough’ [-Werror]
  • Add Werror=0 to the scons command:
scons arch=arm64-v8a neon=1 opencl=1 embed_kernels=1 extra_cxx_flags="-fPIC" -j8 internal_only=0 Werror=0