%global _empty_manifest_terminate_build 0 Name: python-pycuda Version: 2022.2.2 Release: 1 Summary: Python wrapper for Nvidia CUDA License: MIT URL: http://mathema.tician.de/software/pycuda Source0: https://mirrors.nju.edu.cn/pypi/web/packages/78/09/9df5358ffb74d225243b56a65ffe196de481fcd8f731f55e41f2d5d36015/pycuda-2022.2.2.tar.gz BuildArch: noarch %description PyCUDA lets you access `Nvidia `_'s `CUDA `_ parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about 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. PyCUDA knows about dependencies, too, so (for example) it won't detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia's C-based runtime. * Completeness. PyCUDA puts the full power of CUDA's driver API at your disposal, if you wish. It also includes code for interoperability with OpenGL. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA's base layer is written in C++, so all the niceties above are virtually free. * Helpful `Documentation `_. Relatedly, like-minded computing goodness for `OpenCL `_ is provided by PyCUDA's sister project `PyOpenCL `_. %package -n python3-pycuda Summary: Python wrapper for Nvidia CUDA Provides: python-pycuda BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pycuda PyCUDA lets you access `Nvidia `_'s `CUDA `_ parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about 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. PyCUDA knows about dependencies, too, so (for example) it won't detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia's C-based runtime. * Completeness. PyCUDA puts the full power of CUDA's driver API at your disposal, if you wish. It also includes code for interoperability with OpenGL. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA's base layer is written in C++, so all the niceties above are virtually free. * Helpful `Documentation `_. Relatedly, like-minded computing goodness for `OpenCL `_ is provided by PyCUDA's sister project `PyOpenCL `_. %package help Summary: Development documents and examples for pycuda Provides: python3-pycuda-doc %description help PyCUDA lets you access `Nvidia `_'s `CUDA `_ parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about 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. PyCUDA knows about dependencies, too, so (for example) it won't detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia's C-based runtime. * Completeness. PyCUDA puts the full power of CUDA's driver API at your disposal, if you wish. It also includes code for interoperability with OpenGL. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA's base layer is written in C++, so all the niceties above are virtually free. * Helpful `Documentation `_. Relatedly, like-minded computing goodness for `OpenCL `_ is provided by PyCUDA's sister project `PyOpenCL `_. %prep %autosetup -n pycuda-2022.2.2 %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-pycuda -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 2022.2.2-1 - Package Spec generated