Skip to content

Fixed build error on ARM 32bit. #290

Fixed build error on ARM 32bit.

Fixed build error on ARM 32bit. #290

Workflow file for this run

# This is a basic workflow to help you get started with Actions
name: Bitbake raspberrypi
# Controls when the workflow will run
on:
# Triggers the workflow on push or pull request events but only for the kirkstone branch
push:
branches: [ main ]
pull_request:
branches: [ main ]
schedule:
- cron: '0 12 * * 5'
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
env:
TARGET_VERSION: master
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
bitbake-raspberrypi:
strategy:
matrix:
target_machine: [raspberrypi-cm, raspberrypi-cm3, raspberrypi, raspberrypi0-2w-64, raspberrypi0-wifi, raspberrypi0, raspberrypi2, raspberrypi3-64, raspberrypi3, raspberrypi4-64, raspberrypi4]
tensorflow_version: [2.14.0]
# The type of runner that the job will run on
runs-on: ubuntu-latest
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v2
# Check space before cleanup
# https://zenn.dev/pinto0309/scraps/c6413eb15a1b2a
- name: Check space before cleanup
run: |
docker images
sudo rm -rf "/opt/*" || true
sudo rm -rf "/usr/share/dotnet" || true
sudo rm -rf "$AGENT_TOOLSDIRECTORY" || true
sudo rm -rf "/usr/local/lib/android" || true
sudo rm -rf "/usr/local/share/boost" || true
sudo rm -rf "/usr/lib/jvm" || true
sudo rm -rf "/usr/share/swift" || true
sudo rm -rf "/usr/local/julia*" || true
sudo rm -rf "/usr/share/kotlinc" || true
sudo rm -rf "/usr/local/share/edge_driver" || true
sudo rm -rf "/usr/local/share/chromedriver-linux64" || true
sudo rm -rf "/usr/local/share/gecko_driver" || true
sudo rm -rf "/usr/share/miniconda" || true
sudo rm -rf "/usr/local/share/phantomjs*" || true
sudo rm -rf "/usr/share/sbt" || true
sudo rm -rf "/usr/local/sqlpackage" || true
sudo docker image prune --all --force
sudo npm uninstall bazel
rustup self uninstall -y
sudo apt purge \
ansible \
aria2 \
azure-cli \
cabal* \
clang* \
dotnet-sdk* \
ghc* \
google-chrome-stable \
google-cloud-sdk \
kubectl \
mysql* \
node* \
npm* \
php* \
powershell \
rpm \
ruby* \
subversion \
yarn \
firefox \
mono-complete \
nuget \
apache2 \
moby-engine \
moby-cli \
moby-buildx \
moby-compose \
microsoft-edge-stable \
mongodb* \
nginx \
postgresql* \
libpq-dev \
r-base \
sphinxsearch \
-yq >/dev/null 2>&1 || true
sudo apt-get autoremove -y >/dev/null 2>&1 || true
sudo apt-get autoclean -y >/dev/null 2>&1 || true
df -h
# Install essential host packages
- name: Install Pakages
run: |
sudo apt-get update
sudo apt-get -y install gawk wget git-core diffstat unzip texinfo gcc-multilib \
build-essential chrpath socat cpio python3 python3-pip python3-pexpect xz-utils \
debianutils iputils-ping python3-git python3-jinja2 libegl1-mesa libsdl1.2-dev \
pylint xterm zstd liblz4-tool
sudo apt-get clean
# checkout repository
- name: Clone poky, meta-raspberrypi, meta-openembedded
run: |
git clone -b ${TARGET_VERSION} git://git.yoctoproject.org/poky.git
git clone -b ${TARGET_VERSION} git://git.yoctoproject.org/meta-raspberrypi
git clone -b ${TARGET_VERSION} git://git.openembedded.org/meta-openembedded
working-directory: ../
# Run bitbake
- name: Bitbake MACHINE=${{ matrix.target_machine }}, TensorFlow-Lite ${{ matrix.tensorflow_version }}
run: |
source poky/oe-init-build-env rpi-build
bitbake-layers add-layer ../meta-openembedded/meta-oe/
bitbake-layers add-layer ../meta-openembedded/meta-python/
bitbake-layers add-layer ../meta-tensorflow-lite/
bitbake-layers add-layer ../meta-raspberrypi/
cat <<EOF> conf/auto.conf
FORTRAN:forcevariable = ",fortran"
PREFERRED_VERSION_python3-tensorflow-lite="${{ matrix.tensorflow_version }}"
PREFERRED_VERSION_libtensorflow-lite="${{ matrix.tensorflow_version }}"
LICENSE_FLAGS_ACCEPTED = "synaptics-killswitch"
EOF
cat conf/auto.conf
MACHINE=${{matrix.target_machine}} bitbake python3-tensorflow-lite libtensorflow-lite \
libtensorflow-lite-c python3-tensorflow-lite-example tensorflow-lite-label-image \
tensorflow-lite-minimal tensorflow-lite-benchmark libedgetpu-std
working-directory: ../