How to Install and Uninstall libtimelineDecoder33 Package on openSuSE Tumbleweed
Last updated: November 08,2024
1. Install "libtimelineDecoder33" package
This tutorial shows how to install libtimelineDecoder33 on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libtimelineDecoder33
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2. Uninstall "libtimelineDecoder33" package
This guide covers the steps necessary to uninstall libtimelineDecoder33 on openSuSE Tumbleweed:
$
sudo zypper remove
libtimelineDecoder33
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3. Information about the libtimelineDecoder33 package on openSuSE Tumbleweed
Information for package libtimelineDecoder33:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libtimelineDecoder33
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 291.7 KiB
Installed : No
Status : not installed
Source package : armnn-23.11-2.1.src
Upstream URL : https://developer.arm.com/products/processors/machine-learning/arm-nn
Summary : libtimelineDecoder from armnn
Description :
Arm NN is an inference engine for CPUs, GPUs and NPUs.
It bridges the gap between existing NN frameworks and the underlying IP.
It enables efficient translation of existing neural network frameworks,
such as TensorFlow Lite, allowing them to run efficiently – without
modification – across Arm Cortex CPUs and Arm Mali GPUs.
This package contains the libtimelineDecoder library from armnn.
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libtimelineDecoder33
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 291.7 KiB
Installed : No
Status : not installed
Source package : armnn-23.11-2.1.src
Upstream URL : https://developer.arm.com/products/processors/machine-learning/arm-nn
Summary : libtimelineDecoder from armnn
Description :
Arm NN is an inference engine for CPUs, GPUs and NPUs.
It bridges the gap between existing NN frameworks and the underlying IP.
It enables efficient translation of existing neural network frameworks,
such as TensorFlow Lite, allowing them to run efficiently – without
modification – across Arm Cortex CPUs and Arm Mali GPUs.
This package contains the libtimelineDecoder library from armnn.