2025-03-07 #19

	name: Build MLIR and Upload to Release

	on:
	release:
	types: [published]
	workflow_dispatch:
	pull_request:

	jobs:
	build-mlir:
	name: Build MLIR from Source
	runs-on: ubuntu-latest
	container:
	image: quay.io/condaforge/linux-anvil-x86_64:alma9
	defaults:
	run:
	shell: bash -el {0}

	steps:
	- name: Activate conda explicitly
	run: \|
	echo "/opt/conda/bin" >> $GITHUB_PATH
	echo "CONDA_PREFIX=/opt/conda" >> $GITHUB_ENV
	echo "source /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc

	- name: Clone LLVM and MLIR repository
	run: \|
	git clone https://github.com/llvm/llvm-project.git
	cd llvm-project
	git checkout d401987fe349a87c53fe25829215b080b70c0c1a
	cd ..

	- name: Install dependencies
	run: \|
	conda install -y cmake ninja clangxx

	- name: Build MLIR
	run: \|
	mkdir build
	cd build
	cmake -G Ninja \
	-DLLVM_ENABLE_PROJECTS="mlir" \
	-DLLVM_TARGETS_TO_BUILD="X86" \
	-DCMAKE_BUILD_TYPE=Release \
	-DCMAKE_BUILD_WITH_INSTALL_RPATH=ON \
	-DCMAKE_INSTALL_RPATH_USE_LINK_PATH=ON \
	-DCMAKE_INSTALL_RPATH="/opt/conda/lib" \
	../llvm-project/llvm
	ninja

	- name: Archive build results
	run: \|
	tar -czvf mlir.tar.gz build/
	if: success()

	- name: Upload build artifacts
	uses: actions/upload-artifact@v4
	with:
	name: mlir
	path: mlir.tar.gz

	upload-to-release:
	name: Upload to GitHub Release
	needs: build-mlir
	runs-on: ubuntu-latest
	if: github.event_name == 'release'

	steps:
	- name: Download build artifacts
	uses: actions/download-artifact@v4
	with:
	name: mlir

	- name: Upload MLIR build to GitHub Release
	uses: softprops/action-gh-release@v1
	with:
	files: mlir.tar.gz
	env:
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

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