How to Install and Uninstall onednn.x86_64 Package on Fedora 38
Last updated: November 28,2024
1. Install "onednn.x86_64" package
Here is a brief guide to show you how to install onednn.x86_64 on Fedora 38
$
sudo dnf update
Copied
$
sudo dnf install
onednn.x86_64
Copied
2. Uninstall "onednn.x86_64" package
Please follow the guidelines below to uninstall onednn.x86_64 on Fedora 38:
$
sudo dnf remove
onednn.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the onednn.x86_64 package on Fedora 38
Last metadata expiration check: 3:20:57 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : onednn
Version : 3.1.1
Release : 1.fc38
Architecture : x86_64
Size : 6.3 M
Source : onednn-3.1.1-1.fc38.src.rpm
Repository : updates
Summary : oneAPI Deep Neural Network Library
URL : https://github.com/oneapi-src/oneDNN/
License : Apache-2.0 and BSD-2-Clause and BSD-3-Clause and BSL-1.0 and MIT
Description : oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform
: performance library of basic building blocks for deep learning applications.
: oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture
: Processors, Intel Graphics, and Arm* 64-bit Architecture (AArch64)-based
: processors. oneDNN has experimental support for the following architectures:
: NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V.
:
: oneDNN is intended for deep learning applications and framework developers
: interested in improving application performance on Intel CPUs and GPUs.
Available Packages
Name : onednn
Version : 3.1.1
Release : 1.fc38
Architecture : x86_64
Size : 6.3 M
Source : onednn-3.1.1-1.fc38.src.rpm
Repository : updates
Summary : oneAPI Deep Neural Network Library
URL : https://github.com/oneapi-src/oneDNN/
License : Apache-2.0 and BSD-2-Clause and BSD-3-Clause and BSL-1.0 and MIT
Description : oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform
: performance library of basic building blocks for deep learning applications.
: oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture
: Processors, Intel Graphics, and Arm* 64-bit Architecture (AArch64)-based
: processors. oneDNN has experimental support for the following architectures:
: NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V.
:
: oneDNN is intended for deep learning applications and framework developers
: interested in improving application performance on Intel CPUs and GPUs.