[ParU] Use constexpr instead of inline #5

Workflow file for this run

.github/workflows/root-cmakelists.yaml at 9dee62b

	# Build SuiteSparse using the root CMakeLists.txt

	name: root-cmakelists

	on:
	workflow_dispatch:
	push:
	branches-ignore:
	- '**/dev2'
	- '*/dev2'
	pull_request:

	concurrency: ci-root-cmakelists-${{ github.ref }}

	jobs:

	ubuntu:
	# For available GitHub-hosted runners, see:
	# https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners
	runs-on: ubuntu-latest

	name: ubuntu (${{ matrix.compiler }} ${{ matrix.cuda }} CUDA, ${{ matrix.link }})

	strategy:
	# Allow other runners in the matrix to continue if some fail
	fail-fast: false

	matrix:
	compiler: [gcc, clang]
	cuda: [with, without]
	link: [both]
	include:
	- compiler: gcc
	compiler-pkgs: "g++ gcc"
	cc: "gcc"
	cxx: "g++"
	- compiler: clang
	compiler-pkgs: "clang libomp-dev"
	cc: "clang"
	cxx: "clang++"
	# Clang seems to generally require less cache size (smaller object files?).
	- compiler: gcc
	ccache-max: 600M
	- compiler: clang
	ccache-max: 500M
	- cuda: with
	cuda-pkgs: "nvidia-cuda-dev nvidia-cuda-toolkit"
	cuda-cmake-flags:
	-DSUITESPARSE_USE_CUDA=ON
	-DSUITESPARSE_USE_STRICT=ON
	-DCUDAToolkit_INCLUDE_DIR="/usr/include"
	-DCMAKE_CUDA_COMPILER_LAUNCHER="ccache"
	- compiler: gcc
	compiler-pkgs: "g++ gcc"
	cc: "gcc"
	cxx: "g++"
	ccache-max: 600M
	cuda: with
	cuda-pkgs: "nvidia-cuda-dev nvidia-cuda-toolkit"
	cuda-cmake-flags:
	-DSUITESPARSE_USE_CUDA=ON
	-DSUITESPARSE_USE_STRICT=ON
	-DCUDAToolkit_INCLUDE_DIR="/usr/include"
	-DCMAKE_CUDA_COMPILER_LAUNCHER="ccache"
	link: static
	link-cmake-flags:
	-DBUILD_SHARED_LIBS=OFF
	-DBUILD_STATIC_LIBS=ON

	env:
	CC: ${{ matrix.cc }}
	CXX: ${{ matrix.cxx }}

	steps:
	- name: get CPU information
	run: lscpu

	- name: checkout repository
	uses: actions/checkout@v3

	- name: install dependencies
	env:
	COMPILER_PKGS: ${{ matrix.compiler-pkgs }}
	CUDA_PKGS: ${{ matrix.cuda-pkgs }}
	run: \|
	sudo apt -qq update
	sudo apt install -y ${COMPILER_PKGS} autoconf automake ccache cmake \
	dvipng gfortran libgmp-dev liblapack-dev libmpfr-dev \
	libopenblas-dev ${CUDA_PKGS}

	- name: prepare ccache
	# create key with human readable timestamp
	# used in action/cache/restore and action/cache/save steps
	id: ccache-prepare
	run: \|
	echo "key=ccache:ubuntu:root:${{ matrix.compiler }}:${{ matrix.cuda }}:${{ matrix.link }}:${{ github.ref }}:$(date +"%Y-%m-%d_%H-%M-%S"):${{ github.sha }}" >> $GITHUB_OUTPUT

	- name: restore ccache
	# setup the GitHub cache used to maintain the ccache from one job to the next
	uses: actions/cache/restore@v3
	with:
	path: ~/.ccache
	key: ${{ steps.ccache-prepare.outputs.key }}
	# Prefer caches from the same branch. Fall back to caches from the dev branch.
	restore-keys: \|
	ccache:ubuntu:root:${{ matrix.compiler }}:${{ matrix.cuda }}:${{ matrix.link }}:${{ github.ref }}
	ccache:ubuntu:root:${{ matrix.compiler }}:${{ matrix.cuda }}:${{ matrix.link }}

	- name: create empty libraries
	# This is to work around a bug in nvlink.
	# See: https://forums.developer.nvidia.com/t/nvlink-fatal-could-not-open-input-file-when-linking-with-empty-static-library/208517
	if: matrix.cuda == 'with'
	run: \|
	touch empty.c
	gcc -fPIC -c empty.c -oempty.o
	ar rcsv libdl.a empty.o
	ar rcsv librt.a empty.o
	ar rcsv libpthread.a empty.o
	# overwrite system libraries with "valid" empty libraries
	sudo mv ./libdl.a /usr/lib/x86_64-linux-gnu/libdl.a
	sudo mv ./librt.a /usr/lib/x86_64-linux-gnu/librt.a
	sudo mv ./libpthread.a /usr/lib/x86_64-linux-gnu/libpthread.a

	- name: configure ccache
	env:
	CCACHE_MAX: ${{ matrix.ccache-max }}
	run: \|
	test -d ~/.ccache \|\| mkdir ~/.ccache
	echo "max_size = $CCACHE_MAX" >> ~/.ccache/ccache.conf
	echo "compression = true" >> ~/.ccache/ccache.conf
	ccache -s
	echo "/usr/lib/ccache" >> $GITHUB_PATH

	- name: configure
	run: \|
	mkdir -p ${GITHUB_WORKSPACE}/build && cd ${GITHUB_WORKSPACE}/build
	cmake -DCMAKE_BUILD_TYPE="Release" \
	-DCMAKE_INSTALL_PREFIX=".." \
	-DCMAKE_C_COMPILER_LAUNCHER="ccache" \
	-DCMAKE_CXX_COMPILER_LAUNCHER="ccache" \
	-DCMAKE_Fortran_COMPILER_LAUNCHER="ccache" \
	-DBLA_VENDOR="OpenBLAS" \
	${{ matrix.cuda-cmake-flags }} \
	${{ matrix.link-cmake-flags }} \
	..

	- name: build libraries
	run: \|
	cd ${GITHUB_WORKSPACE}/build
	cmake --build .

	- name: build demos
	run: \|
	printf "::group:: \033[0;32m==>\033[0m Configuring for demos\n"
	cd ${GITHUB_WORKSPACE}/build
	cmake -DSUITESPARSE_DEMOS=ON ..
	echo "::endgroup::"
	printf "::group:: \033[0;32m==>\033[0m Building demos\n"
	cd ${GITHUB_WORKSPACE}/build
	cmake --build .
	echo "::endgroup::"
	# FIXME: How to run the demos without Makefile?

	- name: ccache status
	continue-on-error: true
	run: ccache -s

	- name: save ccache
	# Save the cache after we are done (successfully) building.
	# This helps to retain the ccache even if the subsequent steps are failing.
	uses: actions/cache/save@v3
	with:
	path: ~/.ccache
	key: ${{ steps.ccache-prepare.outputs.key }}

	- name: check
	run: \|
	cd ${GITHUB_WORKSPACE}/build
	ctest . \|\| ctest . --rerun-failed --output-on-failure

	- name: install
	run: \|
	printf "\033[0;32m==>\033[0m Installing libraries\n"
	cd ${GITHUB_WORKSPACE}/build
	cmake --install .

	- name: build example
	run: \|
	cd ${GITHUB_WORKSPACE}/Example/build
	printf "::group::\033[0;32m==>\033[0m Configuring example\n"
	cmake \
	-DCMAKE_PREFIX_PATH="${GITHUB_WORKSPACE}/lib/cmake" \
	-DBLA_VENDOR="OpenBLAS" \
	${{ matrix.cuda-cmake-flags }} \
	${{ matrix.link-cmake-flags }} \
	..
	echo "::endgroup::"
	printf "::group::\033[0;32m==>\033[0m Building example\n"
	cmake --build .
	echo "::endgroup::"
	printf "::group::\033[0;32m==>\033[0m Executing example\n"
	if [ -f ./my_demo -a -f ./my_cxx_demo ]; then
	printf "\033[1;35m C binary with shared libraries\033[0m\n"
	LD_LIBRARY_PATH=${GITHUB_WORKSPACE}/lib ./my_demo
	printf "\033[1;35m C++ binary with shared libraries\033[0m\n"
	LD_LIBRARY_PATH=${GITHUB_WORKSPACE}/lib ./my_cxx_demo
	fi
	printf "\033[1;35m C binary with statically linked libraries\033[0m\n"
	./my_demo_static
	printf "\033[1;35m C++ binary with statically linked libraries\033[0m\n"
	./my_cxx_demo_static
	echo "::endgroup::"


	msvc:
	# For available GitHub-hosted runners, see:
	# https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners
	runs-on: windows-latest

	name: msvc (${{ matrix.openmp }} OpenMP ${{ matrix.cuda }} CUDA)

	defaults:
	run:
	# Use bash as default shell
	shell: bash -el {0}

	strategy:
	# Allow other runners in the matrix to continue if some fail
	fail-fast: false

	matrix:
	openmp: [with, without]
	cuda: [without]
	include:
	- openmp: without
	openmp-cmake-flags: "-DSUITESPARSE_USE_OPENMP=OFF"

	env:
	CHERE_INVOKING: 1

	steps:
	- name: get CPU name
	shell: pwsh
	run : \|
	Get-CIMInstance -Class Win32_Processor \| Select-Object -Property Name

	- name: checkout repository
	uses: actions/checkout@v3

	- uses: conda-incubator/setup-miniconda@v2
	with:
	auto-update-conda: true

	- name: cache conda packages
	id: conda-cache
	uses: actions/cache/restore@v3
	with:
	path: C:/Miniconda/envs/test
	key: conda:msvc

	- name: install packages with conda
	if: ${{ steps.conda-cache.outputs.cache-hit != 'true' }}
	run: \|
	echo ${{ steps.conda-cache.outputs.cache-hit }}
	conda info
	conda list
	conda install -y -c intel mkl-devel
	conda install -y -c conda-forge --override-channels ccache

	- name: save conda cache
	if: ${{ steps.conda-cache.outputs.cache-hit != 'true' }}
	uses: actions/cache/save@v3
	with:
	path: C:/Miniconda/envs/test
	key: ${{ steps.conda-cache.outputs.cache-primary-key }}

	- name: install libraries from MSYS2
	uses: msys2/setup-msys2@v2
	with:
	update: true

	# Use pre-installed version to save disc space on partition with source.
	release: false

	install: >-
	mingw-w64-ucrt-x86_64-gmp
	mingw-w64-ucrt-x86_64-mpfr
	mingw-w64-ucrt-x86_64-python

	msystem: UCRT64

	- uses: Jimver/cuda-toolkit@v0.2.11
	name: install CUDA toolkit
	if: matrix.cuda == 'with'
	id: cuda-toolkit
	with:
	cuda: '12.2.0'
	#See https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#install-the-cuda-software
	method: 'local'
	# Do not cache the installer (~3 GiB). It doesn't speed up the
	# installation significantly. And we need the space for ccache.
	use-github-cache: 'false'

	- name: setup build environment
	# get packages from MSYS2
	# Copy only relevant parts to avoid picking up headers and libraries
	# that are thought for MinGW only.
	run: \|
	mkdir -p ./dependencies/{bin,lib,include}
	# GMP
	cp C:/msys64/ucrt64/bin/libgmp*.dll ./dependencies/bin/
	cp C:/msys64/ucrt64/include/gmp.h ./dependencies/include/
	cp C:/msys64/ucrt64/lib/libgmp.dll.a ./dependencies/lib/gmp.lib
	# MPFR
	cp C:/msys64/ucrt64/bin/libmpfr*.dll ./dependencies/bin/
	cp C:/msys64/ucrt64/include/mpf2mpfr.h ./dependencies/include/
	cp C:/msys64/ucrt64/include/mpfr.h ./dependencies/include/
	cp C:/msys64/ucrt64/lib/libmpfr.dll.a ./dependencies/lib/mpfr.lib
	# run-time dependencies
	cp C:/msys64/ucrt64/bin/libgcc_s_seh*.dll ./dependencies/bin/
	cp C:/msys64/ucrt64/bin/libwinpthread*.dll ./dependencies/bin/
	# create environment variable for easier access
	echo "CCACHE=C:/Miniconda/envs/test/Library/bin/ccache.exe" >> ${GITHUB_ENV}

	- name: prepare ccache
	# create key with human readable timestamp
	# used in action/cache/restore and action/cache/save steps
	id: ccache-prepare
	shell: msys2 {0}
	run: \|
	echo "ccachedir=$(cygpath -m $(${CCACHE} -k cache_dir))" >> $GITHUB_OUTPUT
	echo "key=ccache:msvc:root:${{ matrix.openmp }}:${{ matrix.cuda }}:${{ github.ref }}:$(date +"%Y-%m-%d_%H-%M-%S"):${{ github.sha }}" >> $GITHUB_OUTPUT

	- name: restore ccache
	# Setup the GitHub cache used to maintain the ccache from one job to the next
	uses: actions/cache/restore@v3
	with:
	path: ${{ steps.ccache-prepare.outputs.ccachedir }}
	key: ${{ steps.ccache-prepare.outputs.key }}
	# Prefer caches from the same branch. Fall back to caches from the dev branch.
	restore-keys: \|
	ccache:msvc:root:${{ matrix.openmp }}:${{ matrix.cuda }}:${{ github.ref }}
	ccache:msvc:root:${{ matrix.openmp }}:${{ matrix.cuda }}:

	- name: configure ccache
	# Limit the maximum size and switch on compression to avoid exceeding the total disk or cache quota.
	run: \|
	test -d ${{ steps.ccache-prepare.outputs.ccachedir }} \|\| mkdir -p ${{ steps.ccache-prepare.outputs.ccachedir }}
	echo "max_size = 250M" > ${{ steps.ccache-prepare.outputs.ccachedir }}/ccache.conf
	echo "compression = true" >> ${{ steps.ccache-prepare.outputs.ccachedir }}/ccache.conf
	${CCACHE} -p
	${CCACHE} -s

	- name: setup MSVC toolchain
	uses: ilammy/msvc-dev-cmd@v1

	- name: configure
	run: \|
	declare -a _extra_config
	if [ ${{ matrix.cuda }} = 'with' ]; then
	_extra_config+=(-DCUDAToolkit_ROOT="$(cygpath -m "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}")")
	_extra_config+=(-DCMAKE_CUDA_COMPILER="$(cygpath -m "${{ steps.cuda-toolkit.outputs.CUDA_PATH }}")/bin/nvcc.exe")
	fi
	mkdir -p ${GITHUB_WORKSPACE}/build && cd ${GITHUB_WORKSPACE}/build
	cmake -G"Ninja Multi-Config" \
	-DCMAKE_BUILD_TYPE="Release" \
	-DCMAKE_INSTALL_PREFIX=".." \
	-DCMAKE_PREFIX_PATH="C:/Miniconda/envs/test/Library;${GITHUB_WORKSPACE}/dependencies" \
	-DCMAKE_C_COMPILER_LAUNCHER="ccache" \
	-DCMAKE_CXX_COMPILER_LAUNCHER="ccache" \
	-DCMAKE_Fortran_COMPILER_LAUNCHER="ccache" \
	-DSUITESPARSE_USE_FORTRAN=OFF \
	-DBLA_VENDOR="All" \
	-DPython_EXECUTABLE="C:/msys64/ucrt64/bin/python.exe" \
	${{ matrix.openmp-cmake-flags }} \
	${{ matrix.cuda-cmake-flags }} \
	"${_extra_config[@]}" \
	..

	- name: build libraries
	run: \|
	cd ${GITHUB_WORKSPACE}/build
	cmake --build . --config Release

	- name: build demos
	run: \|
	printf "::group:: \033[0;32m==>\033[0m Configuring for demos\n"
	cd ${GITHUB_WORKSPACE}/build
	cmake -DSUITESPARSE_DEMOS=ON ..
	echo "::endgroup::"
	printf "::group:: \033[0;32m==>\033[0m Building demos\n"
	cd ${GITHUB_WORKSPACE}/build
	cmake --build . --config Release
	echo "::endgroup::"
	# FIXME: How to run the demos without Makefile?

	- name: ccache status
	continue-on-error: true
	run: ${CCACHE} -s

	- name: save ccache
	# Save the cache after we are done (successfully) building
	# This helps to retain the ccache even if the subsequent steps are failing.
	uses: actions/cache/save@v3
	with:
	path: ${{ steps.ccache-prepare.outputs.ccachedir }}
	key: ${{ steps.ccache-prepare.outputs.key }}

	- name: check
	run: \|
	cd ${GITHUB_WORKSPACE}/build
	PATH="${GITHUB_WORKSPACE}/bin;${GITHUB_WORKSPACE}/dependencies/bin;C:/msys64/ucrt64/bin;${PATH}" \
	ctest -C Release . \|\| ctest -C Release . --rerun-failed --output-on-failure

	- name: install
	run: \|
	printf "\033[0;32m==>\033[0m Installing libraries\n"
	cd ${GITHUB_WORKSPACE}/build
	cmake --install .

	- name: build example
	run: \|
	cd ${GITHUB_WORKSPACE}/Example/build
	printf "::group::\033[0;32m==>\033[0m Configuring example\n"
	cmake \
	-DCMAKE_PREFIX_PATH="${GITHUB_WORKSPACE}/lib/cmake;C:/Miniconda/envs/test/Library;${GITHUB_WORKSPACE}/dependencies" \
	-DBLA_VENDOR="All" \
	${{ matrix.openmp-cmake-flags }} \
	..
	echo "::endgroup::"
	printf "::group::\033[0;32m==>\033[0m Building example\n"
	cmake --build . --config Release
	echo "::endgroup::"
	printf "::group::\033[0;32m==>\033[0m Executing example\n"
	printf "\033[1;35m C binary with shared libraries\033[0m\n"
	PATH="${GITHUB_WORKSPACE}/bin;${GITHUB_WORKSPACE}/dependencies/bin;${PATH}" \
	./Release/my_demo
	printf "\033[1;35m C++ binary with shared libraries\033[0m\n"
	PATH="${GITHUB_WORKSPACE}/bin;${GITHUB_WORKSPACE}/dependencies/bin;${PATH}" \
	./Release/my_cxx_demo
	# We don't build a static version of GraphBLAS in CI.
	# So we need to prepare the environment also for the following tests.
	# Additionally, gmp, mpfr and BLAS are always shared libraries.
	printf "\033[1;35m C binary with statically linked libraries\033[0m\n"
	PATH="${GITHUB_WORKSPACE}/bin;${GITHUB_WORKSPACE}/dependencies/bin;${PATH}" \
	./Release/my_demo_static
	printf "\033[1;35m C++ binary with statically linked libraries\033[0m\n"
	PATH="${GITHUB_WORKSPACE}/bin;${GITHUB_WORKSPACE}/dependencies/bin;${PATH}" \
	./Release/my_cxx_demo_static
	echo "::endgroup::"

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[ParU] Use constexpr instead of inline #5

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[ParU] Use constexpr instead of inline #5

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