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

name: Build and Test

on:
  push:
    branches:
      - main
  pull_request:
  workflow_dispatch:
    inputs:
      release_id:
        description: 'Release id to upload artifacts to'
        default: ''
      python_package_version:
        description: 'Version to use for creating the Python package'
        default: ''

jobs:
  build:
    name: Build and Test and maybe Publish (Release Asserts)
    runs-on: ubuntu-20.04
    steps:
    - name: Get torch-mlir
      uses: actions/checkout@v2
      with:
        submodules: 'true'
    - uses: ./.github/actions/setup-build
      with:
        cache-suffix: ''
    - name: Build and Test torch-mlir (Assert)
      run: |
        cd $GITHUB_WORKSPACE
        mkdir build
        cd build
        cmake $GITHUB_WORKSPACE/externals/llvm-project/llvm -GNinja \
          -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_LINKER=lld \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
          -DPython3_EXECUTABLE=$(which python) \
          -DLLVM_ENABLE_ASSERTIONS=ON \
          -DLLVM_ENABLE_PROJECTS=mlir \
          -DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
          -DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$GITHUB_WORKSPACE" \
          -DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="${GITHUB_WORKSPACE}/external/llvm-external-projects/torch-mlir-dialects" \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DLLVM_TARGETS_TO_BUILD=host
        ninja check-torch-mlir-all
    - name: RefBackend - TorchScript end-to-end 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
    - name: TOSA backend - TorchScript end-to-end tests
      run: |
        cd $GITHUB_WORKSPACE
        export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
        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 \
          TORCH_MLIR_PYTHON_PACKAGE_VERSION="${{ github.event.inputs.python_package_version }}" \
          ./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 }}

  build-out-of-tree:
    name: Build and Test out-of-tree (Release Asserts)
    runs-on: ubuntu-20.04
    steps:
    - name: Get torch-mlir
      uses: actions/checkout@v2
      with:
        submodules: 'true'
    - uses: ./.github/actions/setup-build
      with:
        cache-suffix: '-out-of-tree'
    - name: Build LLVM (standalone)
      run: |
        cd $GITHUB_WORKSPACE
        cmake -Bllvm-build -GNinja \
          -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_LINKER=lld \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
          -DPython3_EXECUTABLE=$(which python) \
          -DLLVM_ENABLE_ASSERTIONS=ON \
          -DLLVM_ENABLE_PROJECTS=mlir \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DLLVM_TARGETS_TO_BUILD=host \
          externals/llvm-project/llvm
        ninja -Cllvm-build

    - name: Build and test torch-mlir (out-of-tree)
      run: |
        cd $GITHUB_WORKSPACE
        cmake -GNinja -Bbuild \
          -DCMAKE_LINKER=lld \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ \
          -DMLIR_DIR="$(pwd)/llvm-build/lib/cmake/mlir/" \
          -DLLVM_DIR="$(pwd)/llvm-build/lib/cmake/llvm/" \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DPython3_EXECUTABLE=$(which python) \
          .
        ninja -Cbuild check-torch-mlir-all

    - name: RefBackend - TorchScript end-to-end tests
      run: |
        cd $GITHUB_WORKSPACE
        export PYTHONPATH="$GITHUB_WORKSPACE/build/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=refbackend -v
    - name: TOSA backend - TorchScript end-to-end tests
      run: |
        cd $GITHUB_WORKSPACE
        export PYTHONPATH="$GITHUB_WORKSPACE/build/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=tosa -v