How to Install and Uninstall python38-opt-einsum Package on openSuSE Tumbleweed

Last updated: July 03,2024

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

1. Install "python38-opt-einsum" package

In this section, we are going to explain the necessary steps to install python38-opt-einsum on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python38-opt-einsum
            
                    
    
    Copied

2. Uninstall "python38-opt-einsum" package

This guide covers the steps necessary to uninstall python38-opt-einsum on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python38-opt-einsum
            
                    
    
    Copied

3. Information about the python38-opt-einsum package on openSuSE Tumbleweed

Information for package python38-opt-einsum:
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Repository : openSUSE-Tumbleweed-Oss
Name : python38-opt-einsum
Version : 3.3.0-2.2
Arch : noarch
Vendor : openSUSE
Installed Size : 586,3 KiB
Installed : No
Status : not installed
Source package : python-opt-einsum-3.3.0-2.2.src
Summary : Optimizing numpys einsum function
Description :
Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g.,
`np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`)
by optimizing the expression's contraction order and dispatching many
operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized
einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch,
Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially
any library which conforms to a standard API. See the
[**documentation**](http://optimized-einsum.readthedocs.io) for more
information.