How to Install and Uninstall tensorflow2_2_6_2-gnu-hpc-devel Package on openSuSE Tumbleweed
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "tensorflow2_2_6_2-gnu-hpc-devel" package
Please follow the step by step instructions below to install tensorflow2_2_6_2-gnu-hpc-devel on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
tensorflow2_2_6_2-gnu-hpc-devel
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2. Uninstall "tensorflow2_2_6_2-gnu-hpc-devel" package
Please follow the steps below to uninstall tensorflow2_2_6_2-gnu-hpc-devel on openSuSE Tumbleweed:
$
sudo zypper remove
tensorflow2_2_6_2-gnu-hpc-devel
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3. Information about the tensorflow2_2_6_2-gnu-hpc-devel package on openSuSE Tumbleweed
Information for package tensorflow2_2_6_2-gnu-hpc-devel:
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : tensorflow2_2_6_2-gnu-hpc-devel
Version : 2.6.2-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 27,5 MiB
Installed : No
Status : not installed
Source package : tensorflow2_2_6_2-gnu-hpc-2.6.2-1.3.src
Summary : Header files of 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.
This package provides necessary headers for the C/C++ Api
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : tensorflow2_2_6_2-gnu-hpc-devel
Version : 2.6.2-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 27,5 MiB
Installed : No
Status : not installed
Source package : tensorflow2_2_6_2-gnu-hpc-2.6.2-1.3.src
Summary : Header files of 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.
This package provides necessary headers for the C/C++ Api