How to Install and Uninstall onednn-devel Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "onednn-devel" package
Please follow the instructions below to install onednn-devel on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
onednn-devel
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2. Uninstall "onednn-devel" package
In this section, we are going to explain the necessary steps to uninstall onednn-devel on openSuSE Tumbleweed:
$
sudo zypper remove
onednn-devel
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3. Information about the onednn-devel package on openSuSE Tumbleweed
Information for package onednn-devel:
-------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : onednn-devel
Version : 3.3.3-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 995.9 KiB
Installed : No
Status : not installed
Source package : onednn-3.3.3-1.2.src
Upstream URL : https://01.org/onednn
Summary : Header files of Intel Math Kernel Library
Description :
Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use
to implement deep neural networks (DNN) with C and C++ interfaces.
This package includes the required headers and library files to develop software
with the Intel MKL-DNN.
-------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : onednn-devel
Version : 3.3.3-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 995.9 KiB
Installed : No
Status : not installed
Source package : onednn-3.3.3-1.2.src
Upstream URL : https://01.org/onednn
Summary : Header files of Intel Math Kernel Library
Description :
Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use
to implement deep neural networks (DNN) with C and C++ interfaces.
This package includes the required headers and library files to develop software
with the Intel MKL-DNN.