fix parsing #214
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| name: 🐧 Intel | |
| on: [push, pull_request] | |
| concurrency: | |
| group: ${{ github.ref }}-${{ github.head_ref }}-intel | |
| cancel-in-progress: true | |
| jobs: | |
| build_icpx: | |
| name: oneAPI ICX SP | |
| runs-on: ubuntu-24.04 | |
| # Since 2021.4.0, AMReX_GpuUtility.H: error: comparison with NaN | |
| # always evaluates to false in fast floating point modes | |
| # oneAPI 2022.2.0 hangs for -O2 and higher: | |
| # https://github.com/ECP-WarpX/WarpX/issues/3442 | |
| env: | |
| CXXFLAGS: "-Werror -Wno-error=pass-failed \ | |
| -Wno-tautological-constant-compare" | |
| # For oneAPI, Ninja is slower than the default: | |
| # CMAKE_GENERATOR: Ninja | |
| if: github.event.pull_request.draft == false | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: install dependencies | |
| shell: bash | |
| run: | | |
| .github/workflows/dependencies/dpcpp.sh | |
| - name: CCache Cache | |
| uses: actions/cache@v4 | |
| with: | |
| path: | | |
| ~/.ccache | |
| ~/.cache/ccache | |
| key: ccache-intel-icpx-${{ hashFiles('.github/workflows/intel.yml') }}-${{ hashFiles('cmake/dependencies/AMReX.cmake') }} | |
| restore-keys: | | |
| ccache-intel-icpx-${{ hashFiles('.github/workflows/intel.yml') }}- | |
| ccache-intel-icpx- | |
| - name: build WarpX | |
| shell: bash | |
| run: | | |
| export CCACHE_COMPRESS=1 | |
| export CCACHE_COMPRESSLEVEL=10 | |
| export CCACHE_MAXSIZE=100M | |
| export CCACHE_DEPEND=1 | |
| ccache -z | |
| set +e | |
| source /opt/intel/oneapi/setvars.sh | |
| set -e | |
| export CXX=$(which icpx) | |
| export CC=$(which icx) | |
| cmake -S . -B build_sp \ | |
| -DCMAKE_CXX_FLAGS_RELEASE="-O1 -DNDEBUG" \ | |
| -DCMAKE_VERBOSE_MAKEFILE=ON \ | |
| -DWarpX_EB=ON \ | |
| -DWarpX_LIB=ON \ | |
| -DWarpX_MPI=OFF \ | |
| -DWarpX_OPENPMD=ON \ | |
| -DWarpX_PRECISION=SINGLE | |
| cmake --build build_sp -j 2 | |
| build_dpcc: | |
| name: oneAPI DPC++ SP | |
| runs-on: ubuntu-24.04 | |
| # Since 2021.4.0, AMReX_GpuUtility.H: error: comparison with NaN | |
| # always evaluates to false in fast floating point modes | |
| # oneAPI 2022.2.0 hangs for -O2 and higher: | |
| # https://github.com/ECP-WarpX/WarpX/issues/3442 | |
| env: | |
| CXXFLAGS: "-Werror -Wno-tautological-constant-compare" | |
| # For oneAPI, Ninja is slower than the default: | |
| # CMAKE_GENERATOR: Ninja | |
| if: github.event.pull_request.draft == false | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: install dependencies | |
| shell: bash | |
| run: | | |
| .github/workflows/dependencies/dpcpp.sh | |
| - name: CCache Cache | |
| uses: actions/cache@v4 | |
| with: | |
| path: | | |
| ~/.ccache | |
| ~/.cache/ccache | |
| key: ccache-intel-dpcc-${{ hashFiles('.github/workflows/intel.yml') }}-${{ hashFiles('cmake/dependencies/AMReX.cmake') }} | |
| restore-keys: | | |
| ccache-intel-dpcc-${{ hashFiles('.github/workflows/intel.yml') }}- | |
| ccache-intel-dpcc- | |
| - name: build WarpX | |
| shell: bash | |
| run: | | |
| export CCACHE_COMPRESS=1 | |
| export CCACHE_COMPRESSLEVEL=10 | |
| export CCACHE_MAXSIZE=100M | |
| export CCACHE_DEPEND=1 | |
| ccache -z | |
| set +e | |
| source /opt/intel/oneapi/setvars.sh | |
| set -e | |
| export CXX=$(which icpx) | |
| export CC=$(which icx) | |
| export CXXFLAGS="-fsycl ${CXXFLAGS}" | |
| cmake -S . -B build_sp \ | |
| -DCMAKE_CXX_FLAGS_RELEASE="-O1 -DNDEBUG" \ | |
| -DBUILD_SHARED_LIBS=ON \ | |
| -DCMAKE_VERBOSE_MAKEFILE=ON \ | |
| -DWarpX_COMPUTE=SYCL \ | |
| -DAMReX_SYCL_AOT=ON \ | |
| -DAMReX_INTEL_ARCH=pvc \ | |
| -DAMReX_PARALLEL_LINK_JOBS=4 \ | |
| -DWarpX_EB=ON \ | |
| -DWarpX_LIB=ON \ | |
| -DWarpX_MPI=OFF \ | |
| -DWarpX_OPENPMD=ON \ | |
| -DWarpX_PRECISION=SINGLE | |
| cmake --build build_sp -j 2 | |
| # TODO: re-enable -DWarpX_LIB=ON as soon as "dpcpp -fPIC" | |
| # segfaults are fixed | |
| ccache -s | |
| du -hs ~/.cache/ccache | |
| # Skip this as it will copy the binary artifacts and we are | |
| # tight on disk space | |
| # python3 -m pip install --upgrade pip | |
| # python3 -m pip install --upgrade setuptools wheel | |
| # PYWARPX_LIB_DIR=$PWD/build_sp/lib python3 -m pip wheel . | |
| # python3 -m pip install *.whl |