name: Compatibility Test

on: workflow_dispatch

jobs:
  build:
    name: Test for PyTorch compatibility
    if: github.base_ref == 'main' && github.repository == 'hpcaitech/ColossalAI'
    runs-on: [self-hosted, aws]
    strategy:
      fail-fast: false
      matrix:
        # 20.07: PyTorch 1.6.0a0+9907a3e + Python 3.6
        # 20.10: PyTorch 1.7.0a0+7036e91 + Python 3.8
        # 20.12: PyTorch 1.8.0a0+1606899 + Python 3.8
        # 21.06: PyTorch 1.9.0a0+c3d40fd + Python 3.8
        container: ["nvcr.io/nvidia/pytorch:20.07-py3", 
                    "nvcr.io/nvidia/pytorch:20.10-py3", 
                    "nvcr.io/nvidia/pytorch:20.12-py3", 
                    "nvcr.io/nvidia/pytorch:21.06-py3"]
    container:
      image: ${{ matrix.container }}
      options: --gpus all --rm --ipc=host -v /data/scratch/cifar-10:/data/scratch/cifar-10
    timeout-minutes: 120
    steps:
      - name: Install dependencies
        run: |
          pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
          pip install -U pip setuptools wheel --user
          pip install pytest tensorboard deepspeed apex
      - uses: actions/checkout@v2
      - name: Install Colossal-AI      
        run: |
          pip install -r requirements/requirements.txt
          pip install -v --no-cache-dir .
      - name: Unit Testing
        run: |
          pytest tests
        env:
          DATA: /data/scratch/cifar-10