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

name: Build and Test

on:
  pull_request:
    branches: [ main ]
  push:
    branches: [ main ]
  workflow_dispatch:

# Provisioned Jobs:
# ubuntu - x86_64 - llvm in-tree     - pytorch binary - build+test    # most used dev flow and fastest signal
# ubuntu - x86_64 - llvm out-of-tree - pytorch source - build+test    # most elaborate build
# macos  - arm64  - llvm in-tree     - pytorch binary - build only    # cross compile, can't test arm64


jobs:
  build-test:
    strategy:
      fail-fast: true
      matrix:
        os-arch: [ubuntu-x86_64, macos-arm64]
        llvm-build: [in-tree, out-of-tree]
        torch-binary: [ON, OFF]
        exclude:
          # Exclude llvm in-tree and pytorch source
          - llvm-build: in-tree
            torch-binary: OFF
          # Exclude llvm out-of-tree and pytorch binary
          - llvm-build: out-of-tree
            torch-binary: ON
          # Exclude macos-arm64 and llvm out-of-tree altogether
          - os-arch: macos-arm64
            llvm-build: out-of-tree
        include:
          # Specify OS versions
          - os-arch: ubuntu-x86_64
            os: ubuntu-22.04
          - os-arch: macos-arm64
            os: macos-12
    runs-on: ${{ matrix.os }}

    steps:
    - name: Checkout torch-mlir
      uses: actions/checkout@v2
      with:
        submodules: 'true'

    - name: Setup ccache
      uses: ./.github/actions/setup-build
      with:
        cache-suffix: ${{ matrix.os-arch }}-${{ matrix.llvm-build }}-${{ matrix.torch-binary }}

    - name: Configure os-arch='ubuntu-x86_64' llvm-build='in-tree' torch-binary='${{ matrix.torch-binary }}'
      # Fastest build, most used dev flow
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
      run: |
        cmake -GNinja -Bbuild \
          -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_C_COMPILER=clang \
          -DCMAKE_CXX_COMPILER=clang++ \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache \
          -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_LINKER=lld \
          -DLLVM_ENABLE_ASSERTIONS=ON \
          -DLLVM_ENABLE_PROJECTS=mlir \
          -DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
          -DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$GITHUB_WORKSPACE" \
          -DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="${GITHUB_WORKSPACE}/external/llvm-external-projects/torch-mlir-dialects" \
          -DLLVM_TARGETS_TO_BUILD=host \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DTORCH_MLIR_ENABLE_MHLO=ON \
          -DTORCH_MLIR_USE_INSTALLED_PYTORCH="${{ matrix.torch-binary }}" \
          -DPython3_EXECUTABLE="$(which python)" \
          $GITHUB_WORKSPACE/externals/llvm-project/llvm

    - name: Configure os-arch='ubuntu-x86_64' llvm-build='out-of-tree' torch-binary='${{ matrix.torch-binary }}'
      # Most elaborate build, but cached
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'out-of-tree' }}
      run: |
        cmake -GNinja -Bllvm-build \
          -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_C_COMPILER=clang \
          -DCMAKE_CXX_COMPILER=clang++ \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache \
          -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_LINKER=lld \
          -DLLVM_ENABLE_ASSERTIONS=ON \
          -DLLVM_ENABLE_PROJECTS=mlir \
          -DLLVM_TARGETS_TO_BUILD=host \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DPython3_EXECUTABLE="$(which python)" \
          $GITHUB_WORKSPACE/externals/llvm-project/llvm
        cmake --build llvm-build

        # TODO: Reenable LTC once OOT build is successful (https://github.com/llvm/torch-mlir/issues/1154)
        cmake -GNinja -Bbuild \
          -DCMAKE_C_COMPILER=clang \
          -DCMAKE_CXX_COMPILER=clang++ \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache \
          -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_LINKER=lld \
          -DLLVM_DIR="$GITHUB_WORKSPACE/llvm-build/lib/cmake/llvm/" \
          -DMLIR_DIR="$GITHUB_WORKSPACE/llvm-build/lib/cmake/mlir/" \
          -DMLIR_ENABLE_BINDINGS_PYTHON=OFF \
          -DTORCH_MLIR_ENABLE_MHLO=ON \
          -DTORCH_MLIR_USE_INSTALLED_PYTORCH="${{ matrix.torch-binary }}" \
          -DTORCH_MLIR_ENABLE_LTC=OFF \
          -DPython3_EXECUTABLE="$(which python)" \
          $GITHUB_WORKSPACE

    - name: Configure os-arch='macos-arm64' llvm-build='in-tree' torch-binary='${{ matrix.torch-binary }}'
      # cross compile, can't test arm64
      if: ${{ matrix.os-arch == 'macos-arm64' && matrix.llvm-build == 'in-tree' }}
      run: |
        cmake -GNinja -Bbuild_arm64 \
          -DCMAKE_BUILD_TYPE=Release \
          -DCMAKE_C_COMPILER=clang \
          -DCMAKE_CXX_COMPILER=clang++ \
          -DCMAKE_C_COMPILER_LAUNCHER=ccache \
          -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
          -DCMAKE_LINKER=lld \
          -DCMAKE_OSX_ARCHITECTURES=arm64 \
          -DLLVM_ENABLE_ASSERTIONS=ON \
          -DLLVM_ENABLE_PROJECTS=mlir \
          -DLLVM_EXTERNAL_PROJECTS="torch-mlir;torch-mlir-dialects" \
          -DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="$GITHUB_WORKSPACE" \
          -DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="${GITHUB_WORKSPACE}/external/llvm-external-projects/torch-mlir-dialects" \
          -DLLVM_TARGETS_TO_BUILD=AArch64 \
          -DLLVM_USE_HOST_TOOLS=ON \
          -DLLVM_ENABLE_ZSTD=OFF \
          -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
          -DTORCH_MLIR_ENABLE_LTC=OFF \
          -DTORCH_MLIR_ENABLE_MHLO=OFF \
          -DTORCH_MLIR_USE_INSTALLED_PYTORCH="${{ matrix.torch-binary }}" \
          -DMACOSX_DEPLOYMENT_TARGET=12.0 \
          -DPython3_EXECUTABLE="$(which python)" \
          $GITHUB_WORKSPACE/externals/llvm-project/llvm

    - name: Build torch-mlir
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' }}
      run: |
        cmake --build build

    - name: Build torch-mlir (cross-compile)
      if: ${{ matrix.os-arch == 'macos-arm64' }}
      run: |
        cmake --build build_arm64

    - name: Run torch-mlir unit tests
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' }}
      run: |
        cmake --build build --target check-torch-mlir-all

    - name: Run refbackend e2e integration tests
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
      run: |
        export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=refbackend -v

    - name: Run eager_mode e2e integration tests
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
      run: |
        export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=eager_mode -v

    - name: Run tosa e2e integration tests
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
      run: |
        export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=tosa -v

    - name: Run lazy_tensor_core e2e integration tests
      if: ${{ matrix.os-arch == 'ubuntu-x86_64' && matrix.llvm-build == 'in-tree' }}
      run: |
        export PYTHONPATH="$GITHUB_WORKSPACE/build/tools/torch-mlir/python_packages/torch_mlir"
        python -m e2e_testing.torchscript.main --config=lazy_tensor_core -v