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DNM: Manually retrigger 3.8 wheel builds
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The recent 0.14.0 release didn't build python 3.8 wheels. This commit is
manually retriggering the build for just 3.8 so they're there on pypi.
It should not be merged to a tracked branch.
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mtreinish committed Apr 1, 2024
1 parent e9c5737 commit ee8b15b
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115 changes: 1 addition & 114 deletions .github/workflows/deploy.yml
Original file line number Diff line number Diff line change
@@ -1,8 +1,7 @@
name: Deploy
on:
push:
tags:
- '*'
branches: [build-38-wheels]
jobs:
wheel-build:
name: Build qiskit-aer wheels
Expand Down Expand Up @@ -91,118 +90,6 @@ jobs:
with:
path: ./wheelhouse/*.whl
name: publish-shared-wheels
sdist:
name: Publish qiskit-aer sdist
runs-on: ubuntu-latest
needs: [publish-shared-wheels]
environment: release
permissions:
id-token: write
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
name: Install Python
with:
python-version: '3.8'
- name: Install Deps
run: pip install -U scikit-build wheel
- name: Build Artifacts
run: |
python setup.py sdist
shell: bash
- uses: actions/upload-artifact@v3
with:
path: ./dist/qiskit*
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: dist
gpu-build-cuda11:
name: Build qiskit-aer-gpu-cu11 wheels
strategy:
matrix:
os: ["ubuntu-latest"]
runs-on: ${{ matrix.os }}
environment: release
permissions:
id-token: write
steps:
- name: Maximize build space
uses: easimon/maximize-build-space@master
with:
root-reserve-mb: 30000
swap-size-mb: 1024
remove-dotnet: 'true'
remove-android: 'true'
remove-haskell: 'true'
remove-codeql: 'true'
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
name: Install Python
with:
python-version: '3.8'
- name: Install cibuildwheel
run: |
python -m pip install cibuildwheel==2.16.2
- name: Build wheels
env:
CIBW_BEFORE_ALL: "yum install -y yum-utils wget && wget -q https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda-repo-rhel7-11-8-local-11.8.0_520.61.05-1.x86_64.rpm && rpm -i cuda-repo-rhel7-11-8-local-11.8.0_520.61.05-1.x86_64.rpm && yum clean all && yum -y install cuda && yum -y install openblas-devel && yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo && yum clean all"
CIBW_BEFORE_BUILD : "pip cache purge && pip install nvidia-cuda-runtime-cu11 nvidia-cublas-cu11 nvidia-cusolver-cu11 nvidia-cusparse-cu11 cuquantum-cu11"
CIBW_SKIP: "*-manylinux_i686 pp* cp36* cp37* *musllinux*"
CIBW_ENVIRONMENT: QISKIT_AER_PACKAGE_NAME=qiskit-aer-gpu-cu11 QISKIT_AER_CUDA_MAJOR=11 CMAKE_VERBOSE_MAKEFILE=true AER_THRUST_BACKEND=CUDA CUDACXX=/usr/local/cuda/bin/nvcc AER_CUDA_ARCH="7.0 7.2 7.5 8.0 8.6 8.7" AER_PYTHON_CUDA_ROOT=/opt/_internal AER_CIBUILD=true
CIBW_REPAIR_WHEEL_COMMAND: 'auditwheel repair --exclude libcudart.so.11.0 --exclude libcustatevec.so.1 --exclude libcutensornet.so.2 --exclude libcutensor.so.1 --exclude libcutensorMg.so.1 --exclude libcusolver.so.11 --exclude libcusolverMg.so.11 --exclude libcusparse.so.11 --exclude libcublas.so.11 --exclude libcublasLt.so.11 -w {dest_dir} {wheel}'
run: |
python -m cibuildwheel --output-dir wheelhouse
- uses: actions/upload-artifact@v3
with:
path: ./wheelhouse/*.whl
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: wheelhouse
gpu-build-cuda12:
name: Build qiskit-aer-gpu-cu12 wheels
strategy:
matrix:
os: ["ubuntu-latest"]
runs-on: ${{ matrix.os }}
environment: release
permissions:
id-token: write
steps:
- name: Maximize build space
uses: easimon/maximize-build-space@master
with:
root-reserve-mb: 30000
swap-size-mb: 1024
remove-dotnet: 'true'
remove-android: 'true'
remove-haskell: 'true'
remove-codeql: 'true'
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
name: Install Python
with:
python-version: '3.8'
- name: Install cibuildwheel
run: |
python -m pip install cibuildwheel==2.16.2
- name: Build wheels
env:
CIBW_BEFORE_ALL: "yum install -y yum-utils wget && wget -q https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda-repo-rhel7-12-4-local-12.4.0_550.54.14-1.x86_64.rpm && rpm -i cuda-repo-rhel7-12-4-local-12.4.0_550.54.14-1.x86_64.rpm && yum clean all && yum -y install nvidia-driver-latest-dkms && yum -y install cuda-toolkit-12-4 && yum -y install openblas-devel && yum clean all"
CIBW_BEFORE_BUILD : "pip cache purge && pip install nvidia-cuda-runtime-cu12 nvidia-nvjitlink-cu12 nvidia-cublas-cu12 nvidia-cusolver-cu12 nvidia-cusparse-cu12 cuquantum-cu12"
CIBW_SKIP: "*-manylinux_i686 pp* cp36* cp37* *musllinux*"
CIBW_ENVIRONMENT: QISKIT_AER_PACKAGE_NAME=qiskit-aer-gpu QISKIT_AER_CUDA_MAJOR=12 CMAKE_VERBOSE_MAKEFILE=true AER_THRUST_BACKEND=CUDA CUDACXX=/usr/local/cuda/bin/nvcc AER_CUDA_ARCH="7.0 7.2 7.5 8.0 8.6 8.7 9.0" AER_PYTHON_CUDA_ROOT=/opt/_internal AER_CIBUILD=true
CIBW_REPAIR_WHEEL_COMMAND: 'auditwheel repair --exclude libcudart.so.12 --exclude libcustatevec.so.1 --exclude libcutensornet.so.2 --exclude libcutensor.so.1 --exclude libcutensorMg.so.1 --exclude libcusolver.so.11 --exclude libcusolverMg.so.11 --exclude libcusolver.so.12 --exclude libcusolverMg.so.12 --exclude libcusparse.so.12 --exclude libcublas.so.12 --exclude libcublasLt.so.12 --exclude libnvJitLink.so.12 -w {dest_dir} {wheel}'
run: |
python -m cibuildwheel --output-dir wheelhouse
- uses: actions/upload-artifact@v3
with:
path: ./wheelhouse/*.whl
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: wheelhouse
build_wheels_s390x:
name: Build wheels on s390x
runs-on: ${{ matrix.os }}
Expand Down
2 changes: 1 addition & 1 deletion pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ build-backend = "setuptools.build_meta"
[tool.cibuildwheel]
manylinux-x86_64-image = "manylinux2014"
manylinux-i686-image = "manylinux2014"
skip = "pp* cp36* cp37* cp38* *musllinux*"
skip = "pp* cp36* cp37* cp39* cp310* cp311* cp312* *musllinux*"
test-skip = "cp3*-win32 cp3*-manylinux_i686"
test-command = "python {project}/tools/verify_wheels.py"
# We need to use pre-built versions of Numpy and Scipy in the tests; they have a
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