torch-mlir/.github/workflows/buildAndTest.yml

name: Build and Test

on: 
  push:
  pull_request:
  workflow_dispatch:
    inputs:
      release_id:
        description: 'Release id to upload artifacts to'
        default: ''

jobs:
  build:
    name: Build and Test (Release Asserts)
    runs-on: ubuntu-20.04
    steps:
    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: 3.9
    - name: Get torch-mlir
      uses: actions/checkout@v2
      with:
        submodules: 'true'
    - name: Install MLIR Python depends
      run: |
        python -m pip install -r $GITHUB_WORKSPACE/external/llvm-project/mlir/python/requirements.txt
    - name: Install PyTorch nightly depends
      run: |
        python -m pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
    - name: Install Ninja
      uses: llvm/actions/install-ninja@55d844821959226fab4911f96f37071c1d4c3268
    - name: Get Submodule Hash
      id: get-submodule-hash
      run: echo "::set-output name=hash::$(md5sum $(git submodule status))"
      shell: bash
    - name: Ccache for C++ compilation
      uses: hendrikmuhs/ccache-action@4687d037e4d7cf725512d9b819137a3af34d39b3
      with:
        key: ${{ runner.os }}-clangreleaseasserts-${{ steps.get-submodule-hash.outputs.hash }}
    - name: Build and Test torch-mlir (Assert)
      run: |
        cd $GITHUB_WORKSPACE
        mkdir build
        cd build
        cmake $GITHUB_WORKSPACE/external/llvm-project/llvm -GNinja \
          -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_LINKER=lld \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
          -DPython3_EXECUTABLE=$(which python) \
          -DLLVM_ENABLE_ASSERTIONS=ON \
          -DLLVM_ENABLE_PROJECTS=mlir \
          -DLLVM_EXTERNAL_PROJECTS=torch-mlir \
          -DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$GITHUB_WORKSPACE" \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DLLVM_TARGETS_TO_BUILD=host
        ninja check-torch-mlir-all
    - name: RefBackend integration tests
      run: |
        cd $GITHUB_WORKSPACE
        export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=refbackend -v
        python -m e2e_testing.torchscript.main --config=tosa -v

    # TODO: Only build packages in full Release mode.
    # On the other hand, having assertions on isn't too bad of an idea at this
    # early stage.
    - name: Build Python wheels and smoke test.
      run: |
        cd $GITHUB_WORKSPACE
        python -m pip install wheel
        TORCH_MLIR_CMAKE_BUILD_DIR="$GITHUB_WORKSPACE/build" \
          TORCH_MLIR_CMAKE_BUILD_DIR_ALREADY_BUILT=1 \
          ./build_tools/build_python_wheels.sh

    # If we were given a release_id, then upload the package we just built
    # to the github releases page.
    - name: Upload Release Assets (if requested)
      if: github.event.inputs.release_id != ''
      id: upload-release-assets
      uses: dwenegar/upload-release-assets@v1
      env:
        GITHUB_TOKEN: ${{ secrets.WORKFLOW_INVOCATION_TOKEN }}
      with:
        release_id: ${{ github.event.inputs.release_id }}
        assets_path: ./wheelhouse/*.whl
    # Publishing is necessary to make the release visible to `pip`
    # on the github releases page.
    - name: Publish Release (if requested)
      if: github.event.inputs.release_id != ''
      id: publish_release
      uses: eregon/publish-release@v1
      env:
        GITHUB_TOKEN: ${{ secrets.WORKFLOW_INVOCATION_TOKEN }}
      with:
        release_id: ${{ github.event.inputs.release_id }}