How to Install and Uninstall onednn.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: May 20,2024
1. Install "onednn.x86_64" package
Please follow the instructions below to install onednn.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
Copied
$
sudo dnf install
onednn.x86_64
Copied
2. Uninstall "onednn.x86_64" package
Please follow the instructions below to uninstall onednn.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
onednn.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the onednn.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 1:02:58 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : onednn
Version : 1.5
Release : 1.el8
Architecture : x86_64
Size : 3.9 M
Source : onednn-1.5-1.el8.src.rpm
Repository : epel
Summary : Deep Neural Network Library
URL : https://github.com/oneapi-src/oneDNN/
License : ASL 2.0 and BSD and Boost and MIT
Description : 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:
Available Packages
Name : onednn
Version : 1.5
Release : 1.el8
Architecture : x86_64
Size : 3.9 M
Source : onednn-1.5-1.el8.src.rpm
Repository : epel
Summary : Deep Neural Network Library
URL : https://github.com/oneapi-src/oneDNN/
License : ASL 2.0 and BSD and Boost and MIT
Description : 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: