mirror of
https://github.com/terrapkg/packages.git
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Raboneko
dfc53c79a7
* chore: Bulk update CUDA
* chore: A
(cherry picked from commit 32d5ace582)
Co-authored-by: Gilver <rockgrub@disroot.org>
88 lines
2.7 KiB
RPMSpec
88 lines
2.7 KiB
RPMSpec
%global debug_package %{nil}
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%global __strip /bin/true
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%global _missing_build_ids_terminate_build 0
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%global _build_id_links none
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%global major_package_version 13-0
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Name: libcusparse
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Epoch: 1
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Version: 12.6.3.3
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Release: 1%{?dist}
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Summary: NVIDIA CUDA Sparse Matrix library (cuSPARSE) library
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License: CUDA Toolkit
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URL: https://developer.nvidia.com/cuda-toolkit
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ExclusiveArch: x86_64 aarch64
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Source0: https://developer.download.nvidia.com/compute/cuda/redist/%{name}/linux-x86_64/%{name}-linux-x86_64-%{version}-archive.tar.xz
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Source1: https://developer.download.nvidia.com/compute/cuda/redist/%{name}/linux-sbsa/%{name}-linux-sbsa-%{version}-archive.tar.xz
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Source3: cusparse.pc
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Conflicts: %{name}-%{major_package_version} < %{?epoch:%{epoch}:}%{version}-%{release}
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%description
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The NVIDIA CUDA Sparse Matrix library (cuSPARSE) provides a collection of basic
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linear algebra subroutines used for sparse matrices that delivers up to 8x
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faster performance than the latest MKL. The cuSPARSE library is designed to be
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called from C or C++, and the latest release includes a sparse triangular
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solver.
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%package devel
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Summary: Development files for NVIDIA CUDA Sparse Matrix (cuSPARSE) library
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Requires: %{name}%{_isa} = %{?epoch:%{epoch}:}%{version}-%{release}
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Conflicts: %{name}-devel-%{major_package_version} < %{?epoch:%{epoch}:}%{version}
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%description devel
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This package provides development files for the NVIDIA CUDA Sparse Matrix
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library (cuSPARSE) library.
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%package static
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Summary: Static libraries for NVIDIA CUDA Sparse Matrix (cuSPARSE)
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Requires: %{name}-devel%{_isa} = %{?epoch:%{epoch}:}%{version}-%{release}
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%description static
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This package contains static libraries for NVIDIA CUDA Sparse Matrix (cuSPARSE).
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%prep
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%ifarch x86_64
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%setup -q -n %{name}-linux-x86_64-%{version}-archive
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%endif
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%ifarch aarch64
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%setup -q -T -b 1 -n %{name}-linux-sbsa-%{version}-archive
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%endif
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%install
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mkdir -p %{buildroot}%{_includedir}
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mkdir -p %{buildroot}%{_libdir}
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mkdir -p %{buildroot}%{_libdir}/pkgconfig/
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cp -fr include/* %{buildroot}%{_includedir}/
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cp -fr lib/lib* %{buildroot}%{_libdir}/
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cp -fr %{SOURCE3} %{buildroot}/%{_libdir}/pkgconfig/
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# Set proper variables
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sed -i \
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-e 's|CUDA_VERSION|%{version}|g' \
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-e 's|LIBDIR|%{_libdir}|g' \
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-e 's|INCLUDE_DIR|%{_includedir}|g' \
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%{buildroot}/%{_libdir}/pkgconfig/*.pc
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%files
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%license LICENSE
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%{_libdir}/libcusparse.so.*
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%files devel
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%ifarch x86_64
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%doc src
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%endif
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%{_includedir}/cusparse.h
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%{_includedir}/cusparse_v2.h
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%{_libdir}/libcusparse.so
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%{_libdir}/pkgconfig/cusparse.pc
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%files static
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%{_libdir}/libcusparse_static.a
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%changelog
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%autochangelog
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