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cmake-multi-platform.yml
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# This starter workflow is for a CMake project running on multiple platforms. There is a different starter workflow if you just want a single platform.
# See: https://github.com/actions/starter-workflows/blob/main/ci/cmake-single-platform.yml
name: CMake on multiple platforms
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
# Set fail-fast to false to ensure that feedback is delivered for all matrix combinations. Consider changing this to true when your workflow is stable.
fail-fast: false
# Set up a matrix to run the following 3 configurations:
# 1. <Windows, Release, latest MSVC compiler toolchain on the default runner image, default generator>
# 2. <Linux, Release, latest GCC compiler toolchain on the default runner image, default generator>
# 3. <Linux, Release, latest Clang compiler toolchain on the default runner image, default generator>
#
# To add more build types (Release, Debug, RelWithDebInfo, etc.) customize the build_type list.
matrix:
os: [ubuntu-latest, windows-latest]
build_type: [Release]
c_compiler: [clang, cl]
include:
- os: windows-latest
c_compiler: cl
cpp_compiler: cl
- os: ubuntu-latest
c_compiler: clang
cpp_compiler: clang++
exclude:
- os: windows-latest
c_compiler: clang
- os: ubuntu-latest
c_compiler: cl
steps:
- uses: actions/checkout@v4
# - name: Set reusable strings
# # Turn repeated input strings (such as the build output directory) into step outputs. These step outputs can be used throughout the workflow file.
# id: strings
# shell: bash
# run: |
# echo "build-output-dir=${{ github.workspace }}/build" >> "$GITHUB_OUTPUT"
- name: Setup Python Version
uses: actions/setup-python@v5
with:
python-version: 3.11 # Install the python version needed
- name: Set PYTHONPATH
run: export PYTHONPATH=build/tools/torch-mlir/python_packages/torch_mlir:build/tools/mpact/python_packages/mpact
shell: bash
- name: Install requirements
run: |
echo "$PWD"
python -m pip install --upgrade pip
python -m pip install -r externals/torch-mlir/requirements.txt
python -m pip install -r externals/torch-mlir/torchvision-requirements.txt
- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
run: >
# cmake -B ${{ steps.strings.outputs.build-output-dir }}
# -DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }}
# -DCMAKE_C_COMPILER=${{ matrix.c_compiler }}
# -DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
# -S ${{ github.workspace }}
cmake -GNinja -Bbuild \
-DCMAKE_BUILD_TYPE=Release \
-DPython3_FIND_VIRTUALENV=ONLY \
-DLLVM_ENABLE_PROJECTS=mlir \
-DLLVM_EXTERNAL_PROJECTS="torch-mlir;mpact" \
-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR="externals/torch-mlir" \
-DLLVM_EXTERNAL_MPACT_SOURCE_DIR="${{ github.workspace }}" \
-DLLVM_TARGETS_TO_BUILD=host \
-DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }} \
-DCMAKE_C_COMPILER=${{ matrix.c_compiler }} \
-DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \
externals/torch-mlir/externals/llvm-project/llvm
- name: Build
# Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
run: cmake --build ${{ github.workspace }}/build --config ${{ matrix.build_type }} --target check-mpact
# - name: Test
# working-directory: ${{ steps.strings.outputs.build-output-dir }}
# # Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
# # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
# run: ctest --build-config ${{ matrix.build_type }}