How to Install and Uninstall python39-opt-einsum Package on openSuSE Tumbleweed

Last updated: December 23,2024

1. Install "python39-opt-einsum" package

Please follow the guidelines below to install python39-opt-einsum on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python39-opt-einsum
            
                    
    
    Copied

2. Uninstall "python39-opt-einsum" package

Please follow the instructions below to uninstall python39-opt-einsum on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python39-opt-einsum
            
                    
    
    Copied

3. Information about the python39-opt-einsum package on openSuSE Tumbleweed

Information for package python39-opt-einsum:
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-opt-einsum
Version : 3.3.0-3.1
Arch : noarch
Vendor : openSUSE
Installed Size : 465.5 KiB
Installed : No
Status : not installed
Source package : python-opt-einsum-3.3.0-3.1.src
Upstream URL : https://github.com/dgasmith/opt_einsum
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.