Source: qnnpack
Priority: optional
Maintainer: Debian Deep Learning Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Yangfl <mmyangfl@gmail.com>, Mo Zhou <lumin@debian.org>
Build-Depends:
 debhelper-compat (= 13),
 cmake,
 pkg-config,
 libcpuinfo-dev,
 libfp16-dev,
 libfxdiv-dev,
 libpsimd-dev,
 libpthreadpool-dev,
 libgtest-dev,
 googletest,
 google-mock,
 libgmock-dev,
Rules-Requires-Root: no
Standards-Version: 4.5.0
Section: science
Vcs-Browser: https://salsa.debian.org/deeplearning-team/qnnpack
Vcs-Git: https://salsa.debian.org/deeplearning-team/qnnpack.git
Homepage: https://github.com/pytorch/QNNPACK

Package: libqnnpack-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends: libqnnpack0 (= ${binary:Version}), ${misc:Depends}
Description: Quantized Neural Network PACKage (development files)
 QNNPACK (Quantized Neural Networks PACKage) is a mobile-optimized library for
 low-precision high-performance neural network inference. QNNPACK provides
 implementation of common neural network operators on quantized 8-bit tensors.
 .
 This package contains the header files and the static library.

Package: libqnnpack0
Architecture: any
Multi-Arch: same
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: Quantized Neural Network PACKage
 QNNPACK (Quantized Neural Networks PACKage) is a mobile-optimized library for
 low-precision high-performance neural network inference. QNNPACK provides
 implementation of common neural network operators on quantized 8-bit tensors.
