%global _empty_manifest_terminate_build 0 Name: python-pyopencl Version: 2022.3.1 Release: 1 Summary: Python wrapper for OpenCL License: MIT URL: http://mathema.tician.de/software/pyopencl Source0: https://mirrors.nju.edu.cn/pypi/web/packages/dd/4c/7f60601cb3e55d21cff151da2121d7d19e8f9f69e3519dc8fca2593668b2/pyopencl-2022.3.1.tar.gz Requires: python3-numpy Requires: python3-pytools Requires: python3-platformdirs Requires: python3-oclgrind-binary-distribution Requires: python3-pocl-binary-distribution Requires: python3-pytest Requires: python3-Mako %description PyOpenCL lets you access GPUs and other massively parallel compute devices from Python. It tries to offer computing goodness in the spirit of its sister project `PyCUDA `__: * Object cleanup tied to lifetime of objects. This idiom, often called `RAII `__ in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL's API at your disposal, if you wish. Every obscure ``get_info()`` query and all CL calls are accessible. * Automatic Error Checking. All CL errors are automatically translated into Python exceptions. * Speed. PyOpenCL's base layer is written in C++, so all the niceties above are virtually free. * Helpful and complete `Documentation `__ as well as a `Wiki `__. * Liberal license. PyOpenCL is open-source under the `MIT license `__ and free for commercial, academic, and private use. * Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's CL implementations. Simple 4-step `install instructions `__ using Conda on Linux and macOS (that also install a working OpenCL implementation!) can be found in the `documentation `__. What you'll need if you do *not* want to use the convenient instructions above and instead build from source: * gcc/g++ new enough to be compatible with pybind11 (see their `FAQ `__) * `numpy `__, and * an OpenCL implementation. (See this `howto `__ for how to get one.) %package -n python3-pyopencl Summary: Python wrapper for OpenCL Provides: python-pyopencl BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip BuildRequires: python3-cffi BuildRequires: gcc BuildRequires: gdb %description -n python3-pyopencl PyOpenCL lets you access GPUs and other massively parallel compute devices from Python. It tries to offer computing goodness in the spirit of its sister project `PyCUDA `__: * Object cleanup tied to lifetime of objects. This idiom, often called `RAII `__ in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL's API at your disposal, if you wish. Every obscure ``get_info()`` query and all CL calls are accessible. * Automatic Error Checking. All CL errors are automatically translated into Python exceptions. * Speed. PyOpenCL's base layer is written in C++, so all the niceties above are virtually free. * Helpful and complete `Documentation `__ as well as a `Wiki `__. * Liberal license. PyOpenCL is open-source under the `MIT license `__ and free for commercial, academic, and private use. * Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's CL implementations. Simple 4-step `install instructions `__ using Conda on Linux and macOS (that also install a working OpenCL implementation!) can be found in the `documentation `__. What you'll need if you do *not* want to use the convenient instructions above and instead build from source: * gcc/g++ new enough to be compatible with pybind11 (see their `FAQ `__) * `numpy `__, and * an OpenCL implementation. (See this `howto `__ for how to get one.) %package help Summary: Development documents and examples for pyopencl Provides: python3-pyopencl-doc %description help PyOpenCL lets you access GPUs and other massively parallel compute devices from Python. It tries to offer computing goodness in the spirit of its sister project `PyCUDA `__: * Object cleanup tied to lifetime of objects. This idiom, often called `RAII `__ in C++, makes it much easier to write correct, leak- and crash-free code. * Completeness. PyOpenCL puts the full power of OpenCL's API at your disposal, if you wish. Every obscure ``get_info()`` query and all CL calls are accessible. * Automatic Error Checking. All CL errors are automatically translated into Python exceptions. * Speed. PyOpenCL's base layer is written in C++, so all the niceties above are virtually free. * Helpful and complete `Documentation `__ as well as a `Wiki `__. * Liberal license. PyOpenCL is open-source under the `MIT license `__ and free for commercial, academic, and private use. * Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's CL implementations. Simple 4-step `install instructions `__ using Conda on Linux and macOS (that also install a working OpenCL implementation!) can be found in the `documentation `__. What you'll need if you do *not* want to use the convenient instructions above and instead build from source: * gcc/g++ new enough to be compatible with pybind11 (see their `FAQ `__) * `numpy `__, and * an OpenCL implementation. (See this `howto `__ for how to get one.) %prep %autosetup -n pyopencl-2022.3.1 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pyopencl -f filelist.lst %dir %{python3_sitearch}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Apr 21 2023 Python_Bot - 2022.3.1-1 - Package Spec generated