How to Install and Uninstall libiomp5-gnu-hpc Package on openSuSE Tumbleweed
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "libiomp5-gnu-hpc" package
This guide let you learn how to install libiomp5-gnu-hpc on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
libiomp5-gnu-hpc
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2. Uninstall "libiomp5-gnu-hpc" package
Please follow the step by step instructions below to uninstall libiomp5-gnu-hpc on openSuSE Tumbleweed:
$
sudo zypper remove
libiomp5-gnu-hpc
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3. Information about the libiomp5-gnu-hpc package on openSuSE Tumbleweed
Information for package libiomp5-gnu-hpc:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libiomp5-gnu-hpc
Version : 2.6.2-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 642,1 KiB
Installed : No
Status : not installed
Source package : tensorflow2_2_6_2-gnu-hpc-2.6.2-1.3.src
Summary : Shared library for tensorflow
Description :
This open source software library for numerical computation is used for data
flow graphs. The graph nodes represent mathematical operations, while the graph
edges represent the multidimensional data arrays (tensors) that flow between
them. This flexible architecture enables you to deploy computation to one or
more CPUs in a desktop, server, or mobile device without rewriting code.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : libiomp5-gnu-hpc
Version : 2.6.2-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 642,1 KiB
Installed : No
Status : not installed
Source package : tensorflow2_2_6_2-gnu-hpc-2.6.2-1.3.src
Summary : Shared library for tensorflow
Description :
This open source software library for numerical computation is used for data
flow graphs. The graph nodes represent mathematical operations, while the graph
edges represent the multidimensional data arrays (tensors) that flow between
them. This flexible architecture enables you to deploy computation to one or
more CPUs in a desktop, server, or mobile device without rewriting code.