name: deploy

on:
  # master only tests
  push:
    branches:
      - master

jobs:
  # caching of these jobs:
  #   - docker-20-03-py3-pip- (shared)
  #   - ubuntu py36 37 38-pip-
  #   - os-latest-pip (shared)
  coverage-py3:
    container:
      image: nvcr.io/nvidia/pytorch:20.03-py3
      options: --gpus all
    runs-on: [self-hosted, linux, x64]
    steps:
    - uses: actions/checkout@v2
    - name: cache weekly timestamp
      id: pip-cache
      run: |
        echo "::set-output name=datew::$(date '+%Y-%V')"
    - name: cache for pip
      uses: actions/cache@v2
      id: cache
      with:
        path: ~/.cache/pip
        key: docker-20-03-py3-pip-${{ steps.pip-cache.outputs.datew }}
    - name: Install the dependencies
      run: |
        which python
        python -m pip install --upgrade pip wheel
        python -m pip uninstall -y torch torchvision
        python -m pip install torch==1.4 torchvision==0.5.0
        python -m pip install -r requirements-dev.txt
    - name: Run unit tests report coverage
      run: |
        python -m pip list
        nvidia-smi
        export CUDA_VISIBLE_DEVICES=$(python -m tests.utils)
        echo $CUDA_VISIBLE_DEVICES
        python -c "import torch; print(torch.__version__); print('{} of GPUs available'.format(torch.cuda.device_count()))"
        python -c 'import torch; print(torch.rand(5,3, device=torch.device("cuda:0")))'
        ./runtests.sh --coverage
        coverage xml
    - name: Upload coverage
      uses: codecov/codecov-action@v1
      with:
        fail_ci_if_error: true
        file: ./coverage.xml

  test-py3x:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: [3.6, 3.7, 3.8]
    steps:
    - uses: actions/checkout@v2
      with:
        fetch-depth: 0
    - name: Set up Python ${{ matrix.python-version }}
      uses: actions/setup-python@v1
      with:
        python-version: ${{ matrix.python-version }}
    - name: cache weekly timestamp
      id: pip-cache
      run: |
        echo "::set-output name=datew::$(date '+%Y-%V')"
    - name: cache for pip
      uses: actions/cache@v2
      id: cache
      with:
        path: ~/.cache/pip
        key: ${{ runner.os }}-${{ matrix.python-version }}-pip-${{ steps.pip-cache.outputs.datew }}
    - name: Install the dependencies
      run: |
        python -m pip install --upgrade pip wheel
        python -m pip install torch==1.4 torchvision==0.5.0
        python -m pip install -r requirements-dev.txt
    - name: Run quick tests CPU ubuntu
      run: |
        python -m pip list
        python -c 'import torch; print(torch.__version__); print(torch.rand(5,3))'
        ./runtests.sh --quick
        coverage xml
    - name: Upload coverage
      uses: codecov/codecov-action@v1
      with:
        fail_ci_if_error: false
        file: ./coverage.xml

  min-dep-py3:  # min dependencies installed
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: [windows-latest, macOS-latest, ubuntu-latest]
    timeout-minutes: 20
    steps:
    - uses: actions/checkout@v2
    - name: Set up Python 3.x
      uses: actions/setup-python@v1
      with:
        python-version: '3.x'
    - name: Prepare pip wheel
      run: |
        which python
        python -m pip install --upgrade pip wheel
    - name: cache weekly timestamp
      id: pip-cache
      run: |
        echo "::set-output name=datew::$(date '+%Y-%V')"
        echo "::set-output name=dir::$(pip cache dir)"
      shell: bash
    - name: cache for pip
      uses: actions/cache@v2
      id: cache
      with:
        path: ${{ steps.pip-cache.outputs.dir }}
        key: ${{ matrix.os }}-latest-pip-${{ steps.pip-cache.outputs.datew }}
    - if: runner.os == 'windows'
      name: Install torch cpu from pytorch.org (Windows only)
      run: |
        python -m pip install torch==1.4 -f https://download.pytorch.org/whl/cpu/torch_stable.html
        python -m pip install torchvision==0.5.0
    - name: Install the dependencies
      run: |
        # min. requirements for windows instances
        python -m pip install torch==1.4 torchvision==0.5.0
        python -c "f=open('requirements-dev.txt', 'r'); txt=f.readlines(); f.close(); print(txt); f=open('requirements-dev.txt', 'w'); f.writelines(txt[1:5]); f.close()"
        cat "requirements-dev.txt"
        python -m pip install -r requirements-dev.txt
        python -m pip list
        python setup.py develop  # to compile extensions using the system native torch
    - name: Run quick tests (CPU ${{ runner.os }})
      run: |
        python -c 'import torch; print(torch.__version__); print(torch.rand(5,3))'
        python -m tests.min_tests
      env:
        QUICKTEST: True

  install:
    runs-on: ubuntu-latest
    steps:
    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7
    - name: cache weekly timestamp
      id: pip-cache
      run: |
        echo "::set-output name=datew::$(date '+%Y-%V')"
    - name: cache for pip
      uses: actions/cache@v2
      id: cache
      with:
        path: ~/.cache/pip
        key: ${{ runner.os }}-pip-${{ steps.pip-cache.outputs.datew }}
    - name: Install the default branch
      run: |
        pip install git+https://github.com/Project-MONAI/MONAI#egg=MONAI
    - name: Import
      run: |
        python -c 'import monai; monai.config.print_config()'
    - name: Uninstall
      run: |
        pip uninstall -y monai

  docker:
    container:
      image: docker://projectmonai/monai:latest
    runs-on: [self-hosted, linux, x64]
    steps:
    - name: Import
      run: |
        python -c 'import monai; monai.config.print_config()'
        cd /opt/monai
        ls -al
        ngc --version