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cuda runner 3

cuda runner 3 #448

Workflow file for this run

name: deploy-pypi
on:
push:
branches:
- main
release:
types:
- published
jobs:
build_wheels:
name: Build wheels, ${{ matrix.os }}, ${{ matrix.python-version }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
# os: [ubuntu-latest, windows-latest, macos-latest] # TEST
# python-version: ['cp39', 'cp310', 'cp311', 'cp312', 'pp38', 'pp39', 'pp310']
os: [windows-latest]
python-version: ['cp311', 'pp38', 'pp39', 'pp310']
# exclude: # TEST
# - os: windows-latest
# python-version: 'pp38'
# - os: windows-latest
# python-version: 'pp39'
# - os: windows-latest
# python-version: 'pp310'
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v4
with:
python-version: '3.12'
- name: Install OpenMP for mac
if: runner.os == 'macos'
run: |
# brew install libomp
# Starting from libomp>=15.0, the libomp installation in homebrew is "keg-only",
# meaning that libomp is only installed in homebrew's directory, but not moved
# to /usr/local to avoid other OpenMP installations (such as with gcc's version
# of OpenMP). To use the homebrew's version of OpenMP,the following symbolic
# links are created. Without these, the installation will fail with the error
# of "fatal error: omp.h file found"
ln -s /usr/local/opt/libomp/include/omp-tools.h /usr/local/include/omp-tools.h
ln -s /usr/local/opt/libomp/include/omp.h /usr/local/include/omp.h
ln -s /usr/local/opt/libomp/include/ompt.h /usr/local/include/ompt.h
ln -s /usr/local/opt/libomp/lib/libomp.a /usr/local/lib/libomp.a
ln -s /usr/local/opt/libomp/lib/libomp.dylib /usr/local/lib/libomp.dylib
# This is needed to import numpy in pypy3 (but not needed for
# pypy2 and CPython)
# brew install openblas
# OPENBLAS="$(brew --prefix openblas)"
# brew install lapack
# pip3 install numpy
# Without this, installing cuda give error: no much space left on device
- name: Clear Cache
if: matrix.os != 'windows-latest'
run: rm -rf /opt/hostedtoolcache
# To install CUDA in windows, uncomment the following lines. Note
# that the Jimver@cuda-toolkit action (below) can only install cuda
# on linux and windows, but not macos. Also, for linux, we should
# not install cuda here, rather it should be installed inside the
# manylinux docker image. Thus, the following Jimver action can
# only apply to windows, not linux and macos. To install cuda in
# linux, see the second next actions below "Build wheel with cuda
# support".
- name: Install CUDA
if: matrix.os == 'windows-latest'
uses: Jimver/cuda-toolkit@v0.2.11
id: cuda-toolkit
with:
cuda: '12.1.0'
method: 'network'
sub-packages: '["nvcc", "visual_studio_integration"]'
non-cuda-sub-packages: '["libcublas", "libcusparse"]'
- name: CHECK CUDA
if: matrix.os == 'windows-latest'
run: echo "Installed cuda version is: ${{ steps.cuda-toolkit.outputs.cuda }}"

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# Build wheel for windows with CUDA enabled. Note that cibuildwheel
# does not need manylinux docker, thuns, CUDA can be installed in
# the github action's virtual machine using the Jimver's action
# in the previous action (see above).
# - name: Build wheels in windows with CUDA (X86_64) Python ${{ matrix.python-version }}
# if: matrix.os == 'windows-latest'
# uses: pypa/cibuildwheel@v2.15.0
# env:
# CIBW_ARCHS_WINDOWS: "AMD64 x86"
# CIBW_BUILD: "${{ matrix.python-version }}-win_amd64"
# CIBW_SKIP: "pp* cp36-* cp37-* cp38-*"
# CIBW_BUILD_VERBOSITY: 3
# CIBW_ENVIRONMENT: "USE_LONG_INT=0 USE_UNSIGNED_LONG_INT=0 USE_CBLAS=0 USE_CUDA=1 CUDA_DYNAMIC_LOADING=1"
# CIBW_BEFORE_BUILD_WINDOWS: "pip install delvewheel"
# CIBW_REPAIR_WHEEL_COMMAND_WINDOWS: "delvewheel repair -w {dest_dir} {wheel}"
# with:
# output-dir: wheelhouse
# Build wheel for windows with CUDA enabled. Note that cibuildwheel
# does not need manylinux docker, thuns, CUDA can be installed in
# the github action's virtual machine using the Jimver's action
# in the previous action (see above).
- name: Build wheels in windows with CUDA (X86_64) Python ${{ matrix.python-version }}
if: matrix.os == 'windows-latest'
uses: pypa/cibuildwheel@v2.15.0
env:
CIBW_ARCHS_WINDOWS: "AMD64 x86"
CIBW_BUILD: "${{ matrix.python-version }}-win_amd64"
CIBW_SKIP: "pp37-* cp36-* cp37-* cp38-*"
CIBW_BUILD_VERBOSITY: 3
CIBW_ENVIRONMENT: "USE_LONG_INT=0 USE_UNSIGNED_LONG_INT=0 USE_CBLAS=0 USE_CUDA=1 CUDA_DYNAMIC_LOADING=1"
CIBW_BEFORE_BUILD_WINDOWS: "pip install delvewheel && choco install mingw -y"
CIBW_REPAIR_WHEEL_COMMAND_WINDOWS: "delvewheel repair -w {dest_dir} {wheel}"
with:
output-dir: wheelhouse
# Do not enable compiling with CUDA for macos since NIVDIA no longer supports CUDA in the macos.
# Build wheel for macos X86_64.
# Note that wheels for macos ARM64 will be built on cirrus ci (see /tools/ci)
- name: Build wheels in mac without CUDA (X86_64) Python ${{ matrix.python-version }}
if: matrix.os == 'macos-latest'
uses: pypa/cibuildwheel@v2.15.0
env:
CIBW_ARCHS_MACOS: "x86_64"
CIBW_BUILD: "${{ matrix.python-version }}-macosx_x86_64"
CIBW_SKIP: "pp37-* cp36-* cp37-* cp38-*"
CIBW_BUILD_VERBOSITY: 3
CIBW_ENVIRONMENT: "USE_LONG_INT=0 USE_UNSIGNED_LONG_INT=0 USE_CBLAS=0 USE_CUDA=0 PKG_CONFIG_PATH='/usr/local/opt/openblas/lib/pkgconfig'"
# The gcc below installs gfortran. gfortran and openblas are only needed for pypy as it compiles scipy from source.
CIBW_BEFORE_BUILD: brew install libomp; brew reinstall gcc; bash ./tools/wheels/install_openblas.sh "${{ matrix.python-version }}"
with:
output-dir: wheelhouse
# Enable compiling with CUDA, only for linux. Note that cuda must
# be installed "inside" the manylinux docker image, not in the main
# github virtual machine. Also, we should use manylinux2014, but
# not manylinux1. Because of this, we will not install CUDA with
# the Jimver's action (unlike we did so for the windows wheel in
# the above). The ``CUDA_DYNAMIC_LOADING=1`` enables dynamic
# loading of CUDA library. Base of this, when the wheels are
# created in manylinux platform, the cuda's libraries
# (libcudart.so, libcublas.so, libcusparse.so) will NOT bundle to
# the wheel. This is very good since the size of the wheel does not
# increase (cuda libs are large), and the manylinux wheel can be
# uploaded to pypi (pypi has 100MB upload limit). On the down side,
# the user has to install cuda library themselves.
# Note that wheels for linux AARCH64 will be built on cirrus ci (see /tools/ci)
- name: Build wheels in linux with CUDA (X86_64) Python ${{ matrix.python-version }}
if: matrix.os == 'ubuntu-latest'
uses: pypa/cibuildwheel@v2.15.0
env:
CIBW_MANYLINUX_X86_64_IMAGE: sameli/manylinux2014_x86_64_cuda_12.3
# CIBW_MANYLINUX_X86_64_IMAGE: manylinux2014
# CIBW_BEFORE_ALL_LINUX: chmod +x .github/scripts/install_cuda.sh && .github/scripts/install_cuda.sh
CIBW_ARCHS_LINUX: "x86_64"
CIBW_BUILD: "${{ matrix.python-version }}-manylinux_x86_64"
CIBW_SKIP: "pp37-* cp36-* cp37-* cp38-*"
CIBW_BUILD_VERBOSITY: 1
CIBW_ENVIRONMENT: "USE_LONG_INT=0 USE_UNSIGNED_LONG_INT=0 USE_CBLAS=0 USE_CUDA=1 CUDA_DYNAMIC_LOADING=1 CUDA_HOME=/usr/local/cuda"
CIBW_BEFORE_BUILD: bash ./tools/wheels/install_openblas.sh "${{ matrix.python-version }}"
with:
output-dir: wheelhouse
# Upload all wheels to an artifact
- name: Upload artifacts
uses: actions/upload-artifact@v3
with:
path: ./wheelhouse/*.whl
retention-days: 1
build_sdist:
name: Build source distribution
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Install Python
uses: actions/setup-python@v4
with:
python-version: '3.12'
- name: Build sdist
run: |
python -m pip install build
python -m build . --sdist
- name: Upload artifacts
uses: actions/upload-artifact@v3
with:
path: dist/*.tar.gz
retention-days: 1
upload_pypi:
needs: [build_wheels, build_sdist]
runs-on: ubuntu-latest
name: Publish to PyPI
# To upload to PyPI on every tag starting with 'v', use the following:
# if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v')
# To publish to pypi on each GitHub Release, use the following:
# if: github.event_name == 'release' && github.event.action == 'published'
steps:
- name: Download artifacts
uses: actions/download-artifact@v3
with:
name: artifact
path: dist
- name: Upload to PyPi
uses: pypa/gh-action-pypi-publish@release/v1
with:
verbose: true
user: __token__
password: ${{ secrets.pypi_password }}
test_pypi:
needs: [upload_pypi]
name: Test on ${{ matrix.os }} and Python ${{ matrix.python-version }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
# Despite the package is built on both cpython and pypy in
# linux, we only test it on cpython, not on pypy, since many
# other required dependencies (like matplotlib, etc) need to be
# compiled on pypy.
# python-version: ['3.6', '3.7', '3.8', '3.9', 'pypy-3.6', 'pypy-3.7']
python-version: ['3.9', '3.10', '3.11', '3.12']
steps:
- name: Setup Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install packages
# if: matrix.python-version != 'pypy-3.6' && matrix.python-version != 'pypy-3.7'
run: |
python -m pip install --upgrade pip
python -m pip install pytest-cov
python -m pip install --prefer-binary --upgrade imate
# This does not install plot packages (matplotlib, seaborn) when
# using pypy, since on pypy37, the kiwisolver (a dependency of
# matlotlib) has no wheel candicate.
# - name: Install packages
# if: matrix.python-version == 'pypy-3.6' || matrix.python-version == 'pypy-3.7'
# run: |
# python -m pip install --upgrade pip
# python -m pip install pytest-cov
# python -m pip install imate
- name: Checkout
uses: actions/checkout@v3
- name: Test
run: |
mv imate imate-DoNotImport
rm tests/test_cu_linear_operator.py # this raises ImportError
pytest