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Source: python-scikit-cuda
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>,
Roland Mas <lolando@debian.org>,
Section: contrib/python
Priority: optional
Build-Depends:
debhelper-compat (= 13),
dh-sequence-python3,
# dh-sequence-sphinxdoc <!nodoc>,
nvidia-detect <!nocheck>,
pybuild-plugin-pyproject,
python3-all,
python3-mako <!nocheck>,
python3-numpy <!nocheck>,
python3-pycuda <!nocheck>,
python3-pytest <!nocheck>,
python3-setuptools,
# python3-sphinx <!nodoc>,
# python3-sphinx-rtd-theme <!nodoc>,
# python3-sphinx-pngmath <!nodoc>, # not packaged yet
Standards-Version: 3.9.6
#Testsuite: autopkgtest-pkg-pybuild
Homepage: https://github.com/lebedov/scikit-cuda
Package: python3-scikit-cuda
Architecture: all
Depends:
${misc:Depends},
${python3:Depends},
Description: Scikit with CUDA support
scikit-cuda provides Python interfaces to many of the functions in
the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries
distributed as part of NVIDIA's CUDA Programming Toolkit, as well as
interfaces to select functions in the free and standard versions of
the CULA Dense Toolkit.
.
Both low-level wrapper functions similar to their C counterparts and
high-level functions comparable to those in NumPy and Scipy are
provided.
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