How to Install and Uninstall libgemmlowp-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: April 28,2024

1. Install "libgemmlowp-dev" package

Please follow the instructions below to install libgemmlowp-dev on Ubuntu 20.10 (Groovy Gorilla)


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

In this section, we are going to explain the necessary steps to uninstall libgemmlowp-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libgemmlowp-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libgemmlowp-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libgemmlowp-dev
Architecture: amd64
Version: 0.0~git20191206.08c5dd3-1
Multi-Arch: foreign
Priority: optional
Section: universe/libdevel
Source: gemmlowp
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4855
Filename: pool/universe/g/gemmlowp/libgemmlowp-dev_0.0~git20191206.08c5dd3-1_amd64.deb
Size: 518688
MD5sum: 22ae3fb0e5045fae2c23b9ddd689fb63
SHA1: a492e9feb9e64ddd57d1c44b4643f6328eed3f95
SHA256: ad2c7088052cc4fa43daf449283f8708ef03dcb8721bc666f600bd08fe00d8f5
SHA512: 6a5bafdfe732344a865dbf3e1c2cd3c32a015ea966298a5f59bb11b329711e06b570b9e8dbc2ccee866d753f706a0c6c7f70b71a60c47a0810b0041640e83b12
Homepage: https://github.com/google/gemmlowp
Description-en: small self-contained low-precision GEMM library
This is not a full linear algebra library, only a GEMM library: it only does
general matrix multiplication ("GEMM").
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Its performance goals differ from typical GEMM performance goals in the
following ways:
1. It cares not only about speed, but also about minimizing power usage.
It specifically cares about charge usage in mobile/embedded devices.
2. Most GEMMs are optimized primarily for large dense matrix sizes (>= 1000).
It does care about large sizes, but it also cares specifically about the
typically smaller matrix sizes encountered in various mobile applications.
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Keep in mind (previous section) that gemmlowp itself is a pure-headers-only
library.
Description-md5: 013a4990be166142d09f153cf6b842b1