ENH: Add application rtkdualenergyforwardmodel #29
Workflow file for this run
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| name: 'Package RTK with CUDA' | |
| on: [push,pull_request] | |
| env: | |
| itk-wheel-tag: 'v5.4.0' | |
| itk-python-package-tag: '45cfd02a22661731ca5b155f210cfa2f887d50e7' | |
| itk-python-package-org: 'SimonRit' | |
| itk-module-deps: "RTKConsortium/ITKCudaCommon@cae7c93c2f6d4c5b3cb5f6e5ce4a97686e626bf7" | |
| jobs: | |
| build-linux-cuda-python-packages: | |
| runs-on: self-hosted-linux | |
| strategy: | |
| max-parallel: 2 | |
| matrix: | |
| python3-minor-version: ["8","9","10","11"] | |
| manylinux-platform: ["_2_28-x64","2014-x64"] | |
| cuda-version: ["116","121"] | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: 'Fetch build script' | |
| run: | | |
| IPP_DOWNLOAD_GIT_TAG=${{ env.itk-python-package-tag }} | |
| IPP_DOWNLOAD_ORG=${{ env.itk-python-package-org }} | |
| curl -L https://raw.githubusercontent.com/${IPP_DOWNLOAD_ORG:=InsightSoftwareConsortium}/ITKPythonPackage/${IPP_DOWNLOAD_GIT_TAG:=master}/scripts/dockcross-manylinux-download-cache-and-build-module-wheels.sh -O | |
| chmod u+x dockcross-manylinux-download-cache-and-build-module-wheels.sh | |
| - name: 'Build 🐍 Python 📦 package' | |
| shell: bash | |
| run: | | |
| rm -rf dist | |
| export ITK_PACKAGE_VERSION=${{ env.itk-wheel-tag }} | |
| export ITKPYTHONPACKAGE_TAG=${{ env.itk-python-package-tag }} | |
| export ITKPYTHONPACKAGE_ORG=${{ env.itk-python-package-org }} | |
| export ITK_MODULE_PREQ=${{ env.itk-module-deps }} | |
| export CUDA_VERSION=${{ matrix.cuda-version }} | |
| export CUDA_VERSION_MAJOR=`(echo ${CUDA_VERSION} | cut -b1-2)` | |
| export CUDA_VERSION_MINOR=`(echo ${CUDA_VERSION} | cut -b3-)` | |
| CMAKE_OPTIONS="-DRTK_CUDA_VERSION=${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}" | |
| CMAKE_OPTIONS="${CMAKE_OPTIONS} -DRTK_BUILD_APPLICATIONS:BOOL=OFF" | |
| CMAKE_OPTIONS="${CMAKE_OPTIONS} -DCUDAToolkit_ROOT=/usr/lib64/cuda${CUDA_VERSION}" | |
| CMAKE_OPTIONS="${CMAKE_OPTIONS} -DCMAKE_CUDA_COMPILER=/usr/lib64/cuda${CUDA_VERSION}/bin/nvcc" | |
| # The first two are not library paths but are included to be mounted in the | |
| # docker by dockcross-manylinux-build-module-wheels.sh | |
| export LD_LIBRARY_PATH="/home/srit/Downloads/cuda${CUDA_VERSION}" | |
| export LD_LIBRARY_PATH="/usr/lib64/libcuda.so.1:$LD_LIBRARY_PATH" | |
| export LD_LIBRARY_PATH="/home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib:$LD_LIBRARY_PATH" | |
| if test -e ../../ITKPythonBuilds-linux-manylinux2014.tar.zst ; then | |
| mv ../../*zst . | |
| fi | |
| MANYLINUX_PLATFORM=${{ matrix.manylinux-platform }} | |
| if test ${MANYLINUX_PLATFORM} == "_2_28-x64" && test ${CUDA_VERSION} -lt 120; then | |
| export IMAGE_TAG=20230106-1aeaea0 | |
| CMAKE_OPTIONS="${CMAKE_OPTIONS} -DITK_USE_PYTHON_LIMITED_API=FALSE" | |
| fi | |
| CMAKE_OPTIONS=(--cmake_options "${CMAKE_OPTIONS}") | |
| echo "Manylinux platform ${MANYLINUX_PLATFORM}" | |
| rm -rf ITKPythonPackage | |
| export MANYLINUX_VERSION=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 1)` | |
| export TARGET_ARCH=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 2)` | |
| export ITK_MODULE_NO_CLEANUP=TRUE | |
| echo "Building for manylinux specialization ${MANYLINUX_VERSION} and target architecture ${TARGET_ARCH}" | |
| LIBCUDART=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcudart.so.${CUDA_VERSION_MAJOR}*` | |
| LIBCUBLAS=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcublas.so.${CUDA_VERSION_MAJOR}*` | |
| LIBCUBLASLT=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcublasLt.so.${CUDA_VERSION_MAJOR}*` | |
| LIBCUFFT=`basename /home/srit/Downloads/cuda${CUDA_VERSION}/targets/x86_64-linux/lib/libcufft.so.$((${CUDA_VERSION_MAJOR}-1))*` | |
| sed -i "s/dependencies = \[/dependencies = [ \"itk-cudacommon-cuda${CUDA_VERSION} == 1.1.*\",/g" pyproject.toml | |
| sed -i "s/itk-rtk/itk-rtk-cuda${CUDA_VERSION}/g" pyproject.toml | |
| ./dockcross-manylinux-download-cache-and-build-module-wheels.sh "${CMAKE_OPTIONS[@]}" -x "libcuda.so.1;${LIBCUDART};${LIBCUBLAS};${LIBCUBLASLT};${LIBCUFFT}" cp3${{ matrix.python3-minor-version }} | |
| mv *zst ../.. | |
| - name: Validate build output | |
| shell: bash | |
| run: | | |
| /home/srit/miniconda3/envs/py310/bin/python -m pip install twine | |
| ls dist/ | |
| MANYLINUX_PLATFORM=${{ matrix.manylinux-platform }} | |
| MANYLINUX_VERSION=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 1)` | |
| TARGET_ARCH_NAME=`(echo ${MANYLINUX_PLATFORM} | cut -d '-' -f 2)` | |
| if [[ ${TARGET_ARCH_NAME} == "x64" ]]; then | |
| TARGET_ARCH_NAME="x86_64" # Match auditwheel naming convention | |
| fi | |
| WHEEL_PATTERN="dist/itk_*cp3${{ matrix.python3-minor-version }}*manylinux${MANYLINUX_VERSION}*${TARGET_ARCH_NAME}.whl" | |
| echo "Searching for wheels matching pattern ${WHEEL_PATTERN}" | |
| /home/srit/miniconda3/envs/py310/bin/python -m twine check ${WHEEL_PATTERN} | |
| - name: Publish Python package as GitHub Artifact | |
| uses: actions/upload-artifact@v3 | |
| with: | |
| name: LinuxWheel3${{ matrix.python3-minor-version }}${{ matrix.manylinux-platform }}-cuda${{ matrix.cuda-version }} | |
| path: dist/*.whl | |
| build-windows-cuda-python-packages: | |
| runs-on: self-hosted-windows | |
| strategy: | |
| max-parallel: 2 | |
| matrix: | |
| python3-minor-version: ["8","9","10","11"] | |
| cuda-version: ["116","121"] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| path: "im" | |
| - name: 'Reduce source path length' | |
| shell: bash | |
| run: | | |
| # Move ITKPythonBuilds archive to the checked-out source | |
| if test -f ../../im/ITKPythonBuilds-windows.zip; then | |
| mv ../../im/*.zip im | |
| fi | |
| rm -fr ../../im | |
| # Move checked-out source to a shorter path to avoid Windows path length issues | |
| mv im ../../ | |
| - name: 'Fetch build script' | |
| shell: pwsh | |
| run: | | |
| cd ../../im | |
| $ITKPYTHONPACKAGE_TAG = "${{ env.itk-python-package-tag }}" | |
| $ITKPYTHONPACKAGE_ORG = "${{ env.itk-python-package-org }}" | |
| $SCRIPT_UPSTREAM = "https://raw.githubusercontent.com/$ITKPYTHONPACKAGE_ORG/ITKPythonPackage/$ITKPYTHONPACKAGE_TAG/scripts/windows-download-cache-and-build-module-wheels.ps1" | |
| echo "Fetching $SCRIPT_UPSTREAM" | |
| (new-object net.webclient).DownloadString($SCRIPT_UPSTREAM) > windows-download-cache-and-build-module-wheels.ps1 | |
| - name: 'Build 🐍 Python 📦 package' | |
| shell: pwsh | |
| run: | | |
| if (Test-Path dist) { rm dist -r -fo } | |
| cd ../../im | |
| & "C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\Tools\Launch-VsDevShell.ps1" -Arch amd64 -SkipAutomaticLocation | |
| $env:CC="cl.exe" | |
| $env:CXX="cl.exe" | |
| $env:ITK_PACKAGE_VERSION = "${{ env.itk-wheel-tag }}" | |
| $env:ITKPYTHONPACKAGE_TAG = "${{ env.itk-python-package-tag }}" | |
| $env:ITKPYTHONPACKAGE_ORG = "${{ env.itk-python-package-org }}" | |
| $env:ITK_MODULE_PREQ = "${{ env.itk-module-deps }}" | |
| $CUDA_VERSION = "${{ matrix.cuda-version }}" | |
| $CUDA_VERSION_MAJOR=$CUDA_VERSION.substring(0,2) | |
| $CUDA_VERSION_MINOR=$CUDA_VERSION.substring(2,$CUDA_VERSION.Length-2) | |
| $env:CUDA_PATH = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}" | |
| $env:CUDACXX = "$env:CUDA_PATH\bin\nvcc.exe" | |
| $env:Path = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin;" + $env:Path | |
| $LIBCUDART= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cudart64*dll" ).Name | |
| $LIBCUBLAS= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cublas64*dll" ).Name | |
| $LIBCUBLASLT= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cublasLt64*dll" ).Name | |
| $LIBCUFFT= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cufft64*dll" ).Name | |
| ((Get-Content -Path pyproject.toml) -replace "itk-rtk","itk-rtk-cuda${CUDA_VERSION}") | Set-Content -Path pyproject.toml | |
| ((Get-Content -Path pyproject.toml) -replace "dependencies = \[","dependencies = [""itk-cudacommon-cuda${CUDA_VERSION} == 1.1.*"",") | Set-Content -Path pyproject.toml | |
| ./windows-download-cache-and-build-module-wheels.ps1 "${{ matrix.python3-minor-version }}" -setup_options "--lib-paths ""C:/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}/bin"" --exclude-libs ""nvcuda.dll;concrt140.dll;${LIBCUDART};${LIBCUBLAS};${LIBCUBLASLT};${LIBCUFFT}""" -cmake_options """-DRTK_CUDA_VERSION=${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}"" ""-DRTK_BUILD_APPLICATIONS:BOOL=OFF""" | |
| mkdir -p '${{ github.workspace }}\dist' | |
| cp 'dist\*.whl' '${{ github.workspace }}\dist' | |
| - name: Validate build output | |
| shell: pwsh | |
| run: | | |
| python -m pip install twine | |
| ls dist/ | |
| $WHEEL_PATTERN = "dist/itk_*cp3${{ matrix.python3-minor-version }}*win*.whl" | |
| echo "Searching for wheels matching pattern ${WHEEL_PATTERN}" | |
| python -m twine check ${WHEEL_PATTERN} | |
| - name: Publish Python package as GitHub Artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: WindowsWheel3${{ matrix.python3-minor-version }}-cuda${{ matrix.cuda-version }} | |
| path: dist/*.whl | |
| publish-python-packages-to-pypi: | |
| needs: | |
| - build-linux-cuda-python-packages | |
| - build-windows-cuda-python-packages | |
| runs-on: ubuntu-22.04 | |
| steps: | |
| - name: Download Python Packages | |
| uses: actions/download-artifact@v4 | |
| - name: Prepare packages for upload | |
| run: | | |
| ls -R | |
| for d in */; do | |
| mv ${d}/*.whl . | |
| done | |
| mkdir dist | |
| mv *.whl dist/ | |
| ls dist | |
| - name: Publish 🐍 Python 📦 package to PyPI | |
| if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags') | |
| uses: pypa/gh-action-pypi-publish@v1.5.1 | |
| with: | |
| skip_existing: true | |
| user: __token__ | |
| password: ${{ secrets.pypi_password }} |