How to Install and Uninstall python-pycuda Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: November 23,2024

1. Install "python-pycuda" package

Learn how to install python-pycuda on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-pycuda
            
                    
    
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2. Uninstall "python-pycuda" package

Please follow the steps below to uninstall python-pycuda on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
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                sudo apt remove
            
                        
                python-pycuda
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-pycuda package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: python-pycuda
Architecture: amd64
Version: 2017.1.1-2
Priority: optional
Section: multiverse/python
Source: pycuda
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Tomasz Rybak
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1915
Depends: libboost-python1.65.1, libboost-thread1.65.1, libc6 (>= 2.14), libcurand9.1, libgcc1 (>= 1:3.0), libnvidia-compute-390, libstdc++6 (>= 5.2), python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python-appdirs (>= 1.4.0), python-decorator (>= 3.2.0), python-mako, python-pytools (>= 2011.5), python:any (<< 2.8), python:any (>= 2.7.5-5~), nvidia-cuda-toolkit
Recommends: python-pycuda-doc
Suggests: python-pytest, python-opengl, python-matplotlib, python-pycuda-dbg
Replaces: python-pycuda-headers
Filename: pool/multiverse/p/pycuda/python-pycuda_2017.1.1-2_amd64.deb
Size: 308540
MD5sum: 673f6253f066b09703945114347d9a4d
SHA1: 7392023424c20835e5b3e622cab5582789a99e8d
SHA256: bb372b58fa1dd3aeb11e70bcb920a2018a1c93fbf533d4703bb9123de1d818b1
Homepage: http://mathema.tician.de/software/pycuda
Description: Python module to access Nvidia??s CUDA parallel computation API
Description-md5: 999e10331c8e1f852d56bf92b2010d4b