How to Install and Uninstall armnn-opencl-devel Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "armnn-opencl-devel" package
Please follow the guidelines below to install armnn-opencl-devel on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
armnn-opencl-devel
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2. Uninstall "armnn-opencl-devel" package
In this section, we are going to explain the necessary steps to uninstall armnn-opencl-devel on openSuSE Tumbleweed:
$
sudo zypper remove
armnn-opencl-devel
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3. Information about the armnn-opencl-devel package on openSuSE Tumbleweed
Information for package armnn-opencl-devel:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : armnn-opencl-devel
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 501.7 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 : Development headers and libraries for 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 development libraries and headers for armnn.
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : armnn-opencl-devel
Version : 23.11-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 501.7 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 : Development headers and libraries for 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 development libraries and headers for armnn.