name: CUDA Version

on:
  push:
    branches:
    - master
  pull_request:
    branches:
    - master
    - release/*

env:
  github_actions: 'true'
  os_name: linux
  conda_env: test-env

jobs:
  test:
    name: ${{ matrix.task }} ${{ matrix.cuda_version }} ${{ matrix.method }} (linux, ${{ matrix.compiler }}, Python ${{ matrix.python_version }})
    runs-on: [self-hosted, linux]
    timeout-minutes: 60
    strategy:
      fail-fast: false
      matrix:
        include:
          - method: source
            compiler: gcc
            python_version: "3.8"
            cuda_version: "11.7.1"
            task: cuda
          - method: pip
            compiler: clang
            python_version: "3.9"
            cuda_version: "10.0"
            task: cuda
          - method: wheel
            compiler: gcc
            python_version: "3.10"
            cuda_version: "9.0"
            task: cuda
          - method: source
            compiler: gcc
            python_version: "3.8"
            cuda_version: "11.7.1"
            task: cuda_exp
          - method: pip
            compiler: clang
            python_version: "3.9"
            cuda_version: "10.0"
            task: cuda_exp
    steps:
      - name: Setup or update software on host machine
        run: |
            sudo apt-get update
            sudo apt-get install --no-install-recommends -y \
                apt-transport-https \
                ca-certificates \
                curl \
                git \
                gnupg-agent \
                lsb-release \
                software-properties-common
            curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
            sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" -y
            curl -sL https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
            curl -sL https://nvidia.github.io/nvidia-docker/$(. /etc/os-release;echo $ID$VERSION_ID)/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
            sudo apt-get update
            sudo apt-get install --no-install-recommends -y \
                containerd.io \
                docker-ce \
                docker-ce-cli \
                nvidia-docker2
            sudo chmod a+rw /var/run/docker.sock
            sudo systemctl restart docker
      - name: Remove old folder with repository
        run: sudo rm -rf $GITHUB_WORKSPACE
      - name: Checkout repository
        uses: actions/checkout@v1
        with:
          fetch-depth: 5
          submodules: true
      - name: Setup and run tests
        run: |
            export ROOT_DOCKER_FOLDER=/LightGBM
            cat > docker.env <<EOF
            GITHUB_ACTIONS=${{ env.github_actions }}
            OS_NAME=${{ env.os_name }}
            COMPILER=${{ matrix.compiler }}
            TASK=${{ matrix.task }}
            METHOD=${{ matrix.method }}
            CONDA_ENV=${{ env.conda_env }}
            PYTHON_VERSION=${{ matrix.python_version }}
            BUILD_DIRECTORY=$ROOT_DOCKER_FOLDER
            LGB_VER=$(head -n 1 VERSION.txt)
            EOF
            cat > docker-script.sh <<EOF
            export CONDA=\$HOME/miniforge
            export PATH=\$CONDA/bin:\$PATH
            nvidia-smi
            $ROOT_DOCKER_FOLDER/.ci/setup.sh || exit -1
            $ROOT_DOCKER_FOLDER/.ci/test.sh || exit -1
            EOF
            cuda_version="${{ matrix.cuda_version }}"
            cuda_major=${cuda_version%%.*}
            docker_img="nvcr.io/nvidia/cuda:${cuda_version}-devel"
            if [[ ${cuda_major} -gt 10 ]]; then
                docker_img="${docker_img}-ubuntu$(lsb_release -rs)" 
            fi
            docker run --env-file docker.env -v "$GITHUB_WORKSPACE":"$ROOT_DOCKER_FOLDER" --rm --gpus all "$docker_img" /bin/bash $ROOT_DOCKER_FOLDER/docker-script.sh
  all-successful:
    # https://github.community/t/is-it-possible-to-require-all-github-actions-tasks-to-pass-without-enumerating-them/117957/4?u=graingert
    runs-on: ubuntu-latest
    needs: [test]
    steps:
    - name: Note that all tests succeeded
      run: echo "🎉"
