Ubuntu
onednn package

onednn 2.7.4-1ubuntu1 source package in Ubuntu

Changelog

onednn (2.7.4-1ubuntu1) mantic; urgency=medium

  * Apply upstream patches to fix build on arm64 (LP: #2028759)
    + d/patches/lp2028759/cpu-aarch64-update-xbyak_aarch64-into-the-lastes-ver(1).patch
    + d/patches/lp2028759/cpu-aarch64-fix-getting-cache-sizes-on-macOS.patch
    + d/patches/lp2028759/cpu-aarch64-update-xbyak_aarch64-into-the-lastes-ver(2).patch
    The second patch (macOS specific) is not essential but allows the third
    patch to apply with fewer modifications.

 -- Olivier Gayot <email address hidden>  Wed, 26 Jul 2023 12:14:38 +0200

Upload details

Uploaded by:
Olivier Gayot
Sponsored by:
Simon Quigley
Uploaded to:
Mantic
Original maintainer:
Ubuntu Developers
Architectures:
amd64 arm64 ppc64el s390x
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc

Downloads

File Size SHA-256 Checksum
onednn_2.7.4.orig.tar.gz 6.1 MiB d445f0a7057067ac7811612765fb578b3b03fd7dfd9dbfe0a325b31854c21667
onednn_2.7.4-1ubuntu1.debian.tar.xz 24.7 KiB ce5625414a765a4e3c153bfe2fbcc5c14f07d86b57866cc5722714c873f057ad
onednn_2.7.4-1ubuntu1.dsc 2.2 KiB b1bfdfc53befc532087a7fcfcc1688420573bad3b1ae3d56a1e7671e31aaa89d

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Binary packages built by this source

libdnnl-dev: 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.

libdnnl2: No summary available for libdnnl2 in ubuntu noble.

No description available for libdnnl2 in ubuntu noble.

libdnnl2-dbgsym: debug symbols for libdnnl2