compatiblity_test_on_schedule.yml

name: Compatibility Test on Schedule

on:
  # run at 03:00 of every Sunday(singapore time) so here is UTC time Saturday 16:00
  schedule:
    - cron:  '0 19 * * 6'
  workflow_dispatch:

jobs:
  matrix_preparation:
    name: Prepare Container List
    runs-on: ubuntu-latest
    outputs:
      matrix: ${{ steps.set-matrix.outputs.matrix }}
    steps:
      - uses: actions/checkout@v3
      - id: set-matrix
        run: |
          IFS=','
          DOCKER_IMAGE=()

          while read tag; do
            DOCKER_IMAGE+=("\"hpcaitech/pytorch-cuda:${tag}\"")
          done <.compatibility

          container=$( IFS=',' ; echo "${DOCKER_IMAGE[*]}" )
          container="[${container}]"
          echo "$container"
          echo "::set-output name=matrix::{\"container\":$(echo "$container")}"

  build:
    name: Test for PyTorch Compatibility
    needs: matrix_preparation
    if: github.repository == 'hpcaitech/ColossalAI'
    runs-on: [self-hosted, 8-gpu]
    strategy:
      fail-fast: false
      matrix: ${{fromJson(needs.matrix_preparation.outputs.matrix)}}
    container:
      image: ${{ matrix.container }}
      options: --gpus all --rm -v /data/scratch/cifar-10:/data/scratch/cifar-10 -v /data/scratch/llama-tiny:/data/scratch/llama-tiny
    timeout-minutes: 120
    steps:
      - name: Install dependencies
        run: |
          pip install -U pip setuptools wheel --user

      - uses: actions/checkout@v2
        with:
          repository: hpcaitech/TensorNVMe
          ssh-key: ${{ secrets.SSH_KEY_FOR_CI }}
          path: TensorNVMe

      - name: Install tensornvme
        run: |
          cd TensorNVMe
          apt update && apt install -y cmake
          pip install -r requirements.txt
          pip install -v .
      - uses: actions/checkout@v2
        with:
          ssh-key: ${{ secrets.SSH_KEY_FOR_CI }}

      - name: Download cub for CUDA 10.2
        run: |
          CUDA_VERSION=$(nvcc -V | awk -F ',| ' '/release/{print $6}')

          # check if it is CUDA 10.2
          # download cub
          if [ "$CUDA_VERSION" = "10.2" ]; then
            wget https://github.com/NVIDIA/cub/archive/refs/tags/1.8.0.zip
            unzip 1.8.0.zip
            cp -r cub-1.8.0/cub/ colossalai/kernel/cuda_native/csrc/kernels/include/
          fi

      - name: Install Colossal-AI
        run: |
          CUDA_EXT=1 pip install -v .
          pip install -r requirements/requirements-test.txt

      - name: Unit Testing
        run: |
          PYTHONPATH=$PWD pytest tests
        env:
          DATA: /data/scratch/cifar-10
          NCCL_SHM_DISABLE: 1
          LD_LIBRARY_PATH: /github/home/.tensornvme/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
          LLAMA_PATH: /data/scratch/llama-tiny

      - name: Notify Lark
        id: message-preparation
        if: ${{ failure() }}
        run: |
          url=$SERVER_URL/$REPO/actions/runs/$RUN_ID
          msg="Compatibility test failed with $container, please visit $url for details"
          echo $msg
          python .github/workflows/scripts/send_message_to_lark.py -m "$msg" -u $WEBHOOK_URL
        env:
          SERVER_URL: ${{github.server_url }}
          REPO: ${{ github.repository }}
          RUN_ID: ${{ github.run_id }}
          WEBHOOK_URL: ${{ secrets.LARK_NOTIFICATION_WEBHOOK_URL }}
          container: ${{ matrix.container }}