nightly-wheel-arm.yaml

name: nightly-wheel-arm

on:
  schedule:
    # minute (0-59)
    # hour (0-23)
    # day of the month (1-31)
    # month (1-12)
    # day of the week (0-6)
    # nightly build at 23:50 UTC time every day
    - cron: "50 23 * * *"

  workflow_dispatch:

concurrency:
  group: nightly-wheel-armv7l-${{ github.ref }}
  cancel-in-progress: true

jobs:
  nightly-wheel-arm:
    name: ${{ matrix.python-version }}
    # see https://github.com/actions/virtual-environments/blob/win19/20210525.0/images/win/Windows2019-Readme.md
    runs-on: ${{ matrix.os}}
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]

    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Set up QEMU
        uses: docker/setup-qemu-action@v2
        with:
          platforms: arm

      - name: Run docker
        uses: addnab/docker-run-action@v3
        with:
            image: balenalib/raspberrypi3-python:${{ matrix.python-version }}-bullseye-build
            options: |
              --platform linux/arm/v7
              --volume ${{ github.workspace }}/:/workspace
            shell: bash
            run: |
              uname -a
              cd /workspace
              ls -lh

              v=${{ matrix.python-version }}
              PYTHON_VERSION=${v/./}
              echo PYTHON_VERSION=$PYTHON_VERSION >> $GITHUB_ENV
              extra=""
              if [[ ${PYTHON_VERSION} == "37" ]]; then
                extra="m"
              fi

              # pip install -i https://www.piwheels.org/simple numpy sentencepiece click
              pip install https://huggingface.co/csukuangfj/sherpa-onnx-cmake-deps/resolve/main/sentencepiece-0.2.0-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}${extra}-linux_armv7l.whl
              pip install --no-deps sherpa-onnx
              python3 -c "import sherpa_onnx; print(sherpa_onnx.__file__, sherpa_onnx.__version__); print(dir(sherpa_onnx)); print(help(sherpa_onnx))"