How to Install and Uninstall libarmnnSerializer33-opencl Package on openSuSE Tumbleweed
Last updated: January 07,2025
1. Install "libarmnnSerializer33-opencl" package
Here is a brief guide to show you how to install libarmnnSerializer33-opencl on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libarmnnSerializer33-opencl
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2. Uninstall "libarmnnSerializer33-opencl" package
This guide let you learn how to uninstall libarmnnSerializer33-opencl on openSuSE Tumbleweed:
$
sudo zypper remove
libarmnnSerializer33-opencl
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3. Information about the libarmnnSerializer33-opencl package on openSuSE Tumbleweed
Information for package libarmnnSerializer33-opencl:
----------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libarmnnSerializer33-opencl
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 450.2 KiB
Installed : No
Status : not installed
Source package : armnn-opencl-23.11-2.1.src
Upstream URL : https://developer.arm.com/products/processors/machine-learning/arm-nn
Summary : libarmnnSerializer 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 libarmnnSerializer library from armnn.
----------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libarmnnSerializer33-opencl
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 450.2 KiB
Installed : No
Status : not installed
Source package : armnn-opencl-23.11-2.1.src
Upstream URL : https://developer.arm.com/products/processors/machine-learning/arm-nn
Summary : libarmnnSerializer 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 libarmnnSerializer library from armnn.