Hillwood Yang
61989bc84a
* See the changelog at https://github.com/Tencent/ncnn/releases/tag/20240820 OBS-URL: https://build.opensuse.org/package/show/X11:Deepin:Factory/ncnn?expand=0&rev=8
97 lines
3.0 KiB
RPMSpec
97 lines
3.0 KiB
RPMSpec
#
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# spec file for package ncnn
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#
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# Copyright (c) 2023 SUSE LLC
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# Copyright (c) 2023 Hillwood Yang <hillwood@opensuse.org>
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%define sover 1
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Name: ncnn
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Version: 20240820
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Release: 0
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Summary: A high-performance neural network inference framework
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License: BSD-2-Clause AND BSD-3-Clause AND Zlib
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Group: Development/Tools/Other
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URL: https://github.com/Tencent/ncnn
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Source: https://github.com/Tencent/ncnn/archive/%{version}/%{name}-%{version}.tar.gz
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BuildRequires: cmake
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BuildRequires: gcc-c++
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BuildRequires: glslang-nonstd-devel
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BuildRequires: pkgconfig
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BuildRequires: cmake(glslang)
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BuildRequires: cmake(SPIRV-Tools-opt)
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BuildRequires: pkgconfig(opencv)
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BuildRequires: pkgconfig(vulkan)
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BuildRequires: pkgconfig(protobuf)
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%description
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ncnn is a high-performance neural network inference computing framework
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optimized for mobile platforms. ncnn is deeply considerate about deployment and
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uses on mobile phones from the beginning of design. ncnn does not have third
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party dependencies. It is cross-platform, and runs faster than all known open
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source frameworks on mobile phone cpu. Developers can easily deploy deep
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learning algorithm models to the mobile platform by using efficient ncnn
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implementation, create intelligent APPs, and bring the artificial intelligence
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to your fingertips. ncnn is currently being used in many Tencent applications,
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such as QQ, Qzone, WeChat, Pitu and so on.
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%package -n lib%{name}%{sover}
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Summary: NCNN library
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Group: System/Libraries
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%description -n lib%{name}%{sover}
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The package contains the library for ncnn.
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%package devel
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Summary: Development tools for ncnn
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Group: Development/Libraries/C and C++
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Requires: lib%{name}%{sover} = %{version}
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%description devel
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The ncnn-devel package contains the header files for ncnn.
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%prep
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%autosetup -p1
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%build
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%cmake -DNCNN_BUILD_EXAMPLES=ON \
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-DNCNN_VULKAN=ON \
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-DNCNN_SYSTEM_GLSLANG=ON \
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-DNCNN_SHARED_LIB=ON \
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-DNCNN_ENABLE_LTO=ON
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%cmake_build
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%install
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%cmake_install
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%post -n lib%{name}%{sover} -p /sbin/ldconfig
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%postun -n lib%{name}%{sover} -p /sbin/ldconfig
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%files
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%doc README.md CONTRIBUTING.md
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%license LICENSE.txt
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%{_bindir}/*
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%files -n lib%{name}%{sover}
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%{_libdir}/lib%{name}.so.*
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%files devel
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%{_libdir}/lib%{name}.so
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%{_libdir}/pkgconfig/%{name}.pc
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%{_libdir}/cmake/%{name}
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%{_includedir}/%{name}
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%changelog
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