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Source: onednn
Section: science
Priority: optional
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>, Shengqi Chen <harry@debian.org>
Build-Depends: cmake,
debhelper-compat (= 13),
ninja-build,
libtbb-dev,
libspdlog-dev,
libgtest-dev,
libsimde-dev (>= 0.7.0),
Standards-Version: 4.7.2
Homepage: https://github.com/oneapi-src/oneDNN
Rules-Requires-Root: no
Vcs-Browser: https://salsa.debian.org/deeplearning-team/onednn
Vcs-Git: https://salsa.debian.org/deeplearning-team/onednn.git
Package: libdnnl-dev
Section: libdevel
Architecture: amd64 arm64 ppc64el s390x riscv64 loong64
Depends: libdnnl3.6 (= ${binary:Version}), ${misc:Depends}
Breaks: libmkldnn-dev
Replaces: libmkldnn-dev
Description: oneAPI Deep Neural Network Library (oneDNN) (dev)
oneAPI Deep Neural Network Library (oneDNN) is an open-source performance
library for deep learning applications. The library includes basic building
blocks for neural networks optimized for Intel Architecture Processors and
Intel Processor Graphics.
.
oneDNN is intended for deep learning applications and framework developers
interested in improving application performance on Intel CPUs and GPUs.
.
This package contains the header files, and symbol links to the shared object.
Package: libdnnl3.6
Section: libs
Architecture: amd64 arm64 ppc64el s390x riscv64 loong64
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends}
Breaks: libmkldnn1
Replaces: libmkldnn1
Description: oneAPI Deep Neural Network Library (oneDNN) (lib)
oneAPI Deep Neural Network Library (oneDNN) is an open-source performance
library for deep learning applications. The library includes basic building
blocks for neural networks optimized for Intel Architecture Processors and
Intel Processor Graphics.
.
oneDNN is intended for deep learning applications and framework developers
interested in improving application performance on Intel CPUs and GPUs.
.
This package contains the shared object.
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