How to Install and Uninstall libtensorflow_framework2-gnu-openmpi2-hpc Package on openSUSE Leap

Last updated: November 08,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "libtensorflow_framework2-gnu-openmpi2-hpc" package

This guide covers the steps necessary to install libtensorflow_framework2-gnu-openmpi2-hpc on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                libtensorflow_framework2-gnu-openmpi2-hpc
            
                    
    
    Copied

2. Uninstall "libtensorflow_framework2-gnu-openmpi2-hpc" package

This guide let you learn how to uninstall libtensorflow_framework2-gnu-openmpi2-hpc on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                libtensorflow_framework2-gnu-openmpi2-hpc
            
                    
    
    Copied

3. Information about the libtensorflow_framework2-gnu-openmpi2-hpc package on openSUSE Leap

Information for package libtensorflow_framework2-gnu-openmpi2-hpc:
------------------------------------------------------------------
Repository : Main Repository
Name : libtensorflow_framework2-gnu-openmpi2-hpc
Version : 2.1.2-bp153.1.22
Arch : x86_64
Vendor : openSUSE
Installed Size : 18,9 MiB
Installed : No
Status : not installed
Source package : tensorflow2_2_1_2-gnu-openmpi2-hpc-2.1.2-bp153.1.22.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.