How to Install and Uninstall tensorflow2_2_6_2-gnu-openmpi2-hpc-doc 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-openmpi2-hpc-doc" package

Please follow the step by step instructions below to install tensorflow2_2_6_2-gnu-openmpi2-hpc-doc on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                tensorflow2_2_6_2-gnu-openmpi2-hpc-doc
            
                    
    
    Copied

2. Uninstall "tensorflow2_2_6_2-gnu-openmpi2-hpc-doc" package

In this section, we are going to explain the necessary steps to uninstall tensorflow2_2_6_2-gnu-openmpi2-hpc-doc on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                tensorflow2_2_6_2-gnu-openmpi2-hpc-doc
            
                    
    
    Copied

3. Information about the tensorflow2_2_6_2-gnu-openmpi2-hpc-doc package on openSuSE Tumbleweed

Information for package tensorflow2_2_6_2-gnu-openmpi2-hpc-doc:
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Repository : openSUSE-Tumbleweed-Oss
Name : tensorflow2_2_6_2-gnu-openmpi2-hpc-doc
Version : 2.6.2-1.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 207,6 KiB
Installed : No
Status : not installed
Source package : tensorflow2_2_6_2-gnu-openmpi2-hpc-2.6.2-1.3.src
Summary : Examples from the tensorflow website
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 examples from the website.