Source: onednn Section: science Priority: optional Maintainer: Debian Deep Learning Team Uploaders: Mo Zhou Build-Depends: cmake, debhelper-compat (= 13), libtbb-dev, ninja-build, libsimde-dev (>= 0.7.0) Standards-Version: 4.6.0 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 Multi-Arch: same Depends: libdnnl3 (= ${binary:Version}), ${misc:Depends}, ${shlibs: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 Section: libs Architecture: amd64 arm64 ppc64el s390x riscv64 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.