How to Install and Uninstall libgpuarray-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: May 18,2024

1. Install "libgpuarray-dev" package

This tutorial shows how to install libgpuarray-dev on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libgpuarray-dev
            
                    
    
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2. Uninstall "libgpuarray-dev" package

Please follow the step by step instructions below to uninstall libgpuarray-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libgpuarray-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgpuarray-dev package on Ubuntu 21.04 (Hirsute Hippo)

Package: libgpuarray-dev
Architecture: amd64
Version: 0.7.6-5build3
Priority: optional
Section: universe/libdevel
Source: libgpuarray
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 668
Depends: libgpuarray3 (= 0.7.6-5build3)
Suggests: libgpuarray-doc
Filename: pool/universe/libg/libgpuarray/libgpuarray-dev_0.7.6-5build3_amd64.deb
Size: 131316
MD5sum: 959c353fb0f9196f6ea04b0f68e7a855
SHA1: e8bb7cc8369f767f5adb78d15753c45ba1dc1124
SHA256: f0a663c02ea591f84bd6185481b9b1e4c179445cee7743fce5a19cf94a29126a
SHA512: 91e4fab2cd65a5119faf98a8ce9b13478151f87f8dbdb2f6e23dac521fa756e567dc932e222ea75e93bdc447cc36dce612c41feea78d72d7807c0ec62834c72b
Homepage: https://github.com/Theano/libgpuarray
Description-en: development files for libgpuarray
libgpuarray provides a ndarray (multi-dimensional array) object which
is computed on the GPU. It supports int, single and double precision
floats.
.
libgpuarray supports Nvidia's CUDA interface as well as OpenCL. The
Debian packages have been build against OpenCL. However, the source
package could be rebuild locally also for CUDA (which is non-free)
without changes, if that's needed.
.
This package provides the development files.
Description-md5: 5229fd5f990924bcfa8888b47163b223