[ol9_developer_EPEL] onednn-2.6.1-1.el9.aarch64

one-API 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. Deep learning practitioners should use one of the applications
enabled with oneDNN:

Changelog (Show File list) (Show related packages)

• Wed Aug 10 2022 Nicolas Chauvet <kwizart@gmail.com> - 2.6.1-1

  - Update to 2.6.1

• Fri Jul 22 2022 Fedora Release Engineering <releng@fedoraproject.org> - 2.6-2

  - Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild

• Tue Jun 14 2022 Nicolas Chauvet <kwizart@gmail.com> - 2.6-1

  - Update to 2.6
  - Drop previous compat libraries

• Thu Jan 20 2022 Fedora Release Engineering <releng@fedoraproject.org> - 2.4.4-2

  - Rebuilt for https://fedoraproject.org/wiki/Fedora_36_Mass_Rebuild

• Mon Dec 06 2021 Nicolas Chauvet <kwizart@gmail.com> - 2.4.4-1

  - Update to 2.4.4

• Fri Oct 08 2021 Nicolas Chauvet <kwizart@gmail.com> - 2.4-1

  - Update to 2.4

• Mon Aug 16 2021 Nicolas Chauvet <kwizart@gmail.com> - 2.3.2-2

  - Enable s390x
  - Enable ctest
  - Fix compilation issue on non-x86 arches

• Mon Aug 16 2021 Nicolas Chauvet <kwizart@gmail.com> - 2.3.2-1

  - Update to 2.3.2

• Thu Jul 22 2021 Fedora Release Engineering <releng@fedoraproject.org> - 2.2.2-2

  - Rebuilt for https://fedoraproject.org/wiki/Fedora_35_Mass_Rebuild

• Wed May 26 2021 Nicolas Chauvet <kwizart@gmail.com> - 2.2.2-1

  - Update to 2.2.2