How to Install and Uninstall armnn-opencl Package on openSuSE Tumbleweed
Last updated: January 12,2025
1. Install "armnn-opencl" package
Please follow the guidance below to install armnn-opencl on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
armnn-opencl
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2. Uninstall "armnn-opencl" package
Please follow the step by step instructions below to uninstall armnn-opencl on openSuSE Tumbleweed:
$
sudo zypper remove
armnn-opencl
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3. Information about the armnn-opencl package on openSuSE Tumbleweed
Information for package armnn-opencl:
-------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : armnn-opencl
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 6.8 MiB
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 : Arm NN SDK enables machine learning workloads on power-efficient devices
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.
-------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : armnn-opencl
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 6.8 MiB
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 : Arm NN SDK enables machine learning workloads on power-efficient devices
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.