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ENH: Update to pyproject.toml #113

ENH: Update to pyproject.toml

ENH: Update to pyproject.toml #113

name: 'Package ITKCudaCommon with CUDA'
on: [push,pull_request]
env:
itk-wheel-tag: 'v5.4.0'
itk-python-package-tag: '1243f8df202eed65d6e5c06602373a0c1ed4efa5'
itk-python-package-org: 'SimonRit'
jobs:
build-windows-cuda-python-packages:
runs-on: self-hosted-windows
strategy:
max-parallel: 2
matrix:
python3-minor-version: ["11"]
cuda-version: ["116"]
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)
$env:CUDACXX = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\nvcc.exe"
$env:CUDAToolkit_ROOT = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}"
$LIBCUDART= (Get-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}\bin\cudart64*dll" ).Name
((Get-Content -Path pyproject.toml) -replace "itk-cudacommon","itk-cudacommon-cuda${CUDA_VERSION}") | 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}.${CUDA_VERSION_MINOR}/bin"" --exclude-libs ""nvcuda.dll;${LIBCUDART}""" -cmake_options "-DCUDACOMMON_CUDA_VERSION=${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR}"
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-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 }}