How to Install and Uninstall armnn-opencl-devel Package on openSUSE Leap
Last updated: December 25,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "armnn-opencl-devel" package
This guide covers the steps necessary to install armnn-opencl-devel on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
armnn-opencl-devel
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2. Uninstall "armnn-opencl-devel" package
Learn how to uninstall armnn-opencl-devel on openSUSE Leap:
$
sudo zypper remove
armnn-opencl-devel
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3. Information about the armnn-opencl-devel package on openSUSE Leap
Information for package armnn-opencl-devel:
-------------------------------------------
Repository : Main Repository
Name : armnn-opencl-devel
Version : 20.02-bp153.1.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 275,9 KiB
Installed : No
Status : not installed
Source package : armnn-opencl-20.02-bp153.1.15.src
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 and Caffe, 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 : Main Repository
Name : armnn-opencl-devel
Version : 20.02-bp153.1.15
Arch : x86_64
Vendor : openSUSE
Installed Size : 275,9 KiB
Installed : No
Status : not installed
Source package : armnn-opencl-20.02-bp153.1.15.src
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 and Caffe, 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.