ci-cuda12.yml

name: CI-CUDA12

on:
  push:
    branches: [ master ]
  pull_request:
    branches: [ master ]
  schedule:
    # Run every Sunday at midnight
    - cron:  '0 0 * * 0'

defaults:
  run:
    shell: bash -l {0}

jobs:
  build:
    name: ${{ matrix.name }}
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        include:
          # Latest supported versions (with CUDA)
          - name: Linux (CUDA 12, Python 3.11, PyTorch 2.1)
            cuda: "12"
            gcc: "11.*"
            python: "3.11.*"
            torchani: "2.2.*"
            pytorch: "2.1.*"

    steps:
    - name: Check out
      uses: actions/checkout@v2

    - name: Install Miniconda
      uses: conda-incubator/setup-miniconda@v2
      with:
        activate-environment: ""
        auto-activate-base: true
        miniforge-variant: Mambaforge

    - name: Prepare dependencies (with CUDA)
      run: |
        sed -i -e "/cudatoolkit/c\  - cuda ${{ matrix.cuda }}" \
               -e "/gxx_linux-64/c\  - gxx ${{ matrix.gcc }}" \
               -e "/torchani/c\  - torchani ${{ matrix.torchani }}" \
               -e "/nvcc_linux-64/d" \
               -e "/python/c\  - python ${{ matrix.python }}" \
               -e "/pytorch-gpu/c\  - pytorch-gpu ${{ matrix.pytorch }}" \
               environment.yml
        echo "  - cuda-nvtx-dev" >> environment.yml
    - name: Show dependency file
      run: cat environment.yml

    - name: Install dependencies
      run: mamba env create -n nnpops -f environment.yml
      env:
        # Needed to install pytorch-gpu on a machine without a GPU
        CONDA_OVERRIDE_CUDA: ${{ matrix.cuda }}
    - name: List conda environment
      run: |
        conda activate nnpops
        conda list

    - name: Configure, compile, and install
      # CUDA_INC_PATH is required because conda-forge installs CUDA headers to a non standard place
      run: |
        conda activate nnpops
        mkdir build && cd build
        CUDA_INC_PATH=$CONDA_PREFIX/targets/x86_64-linux/include cmake .. \
              -DENABLE_CUDA=${{ matrix.enable_cuda }} \
              -DTorch_DIR=$(python -c 'import torch.utils; print(torch.utils.cmake_prefix_path)')/Torch \
              -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX \
              -DCMAKE_CUDA_ARCHITECTURES=OFF
        make install

    - name: Test
      run: |
        conda activate nnpops
        cd build
        ctest --verbose --exclude-regex TestCuda