How to Install and Uninstall onednn.x86_64 Package on AlmaLinux 8
Last updated: November 28,2024
1. Install "onednn.x86_64" package
Please follow the guidelines below to install onednn.x86_64 on AlmaLinux 8
$
sudo dnf update
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$
sudo dnf install
onednn.x86_64
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2. Uninstall "onednn.x86_64" package
In this section, we are going to explain the necessary steps to uninstall onednn.x86_64 on AlmaLinux 8:
$
sudo dnf remove
onednn.x86_64
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$
sudo dnf autoremove
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3. Information about the onednn.x86_64 package on AlmaLinux 8
Last metadata expiration check: 0:07:59 ago on Mon Sep 5 03:22:42 2022.
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: