How to Install and Uninstall libtorch3c2 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: June 09,2024

1. Install "libtorch3c2" package

Here is a brief guide to show you how to install libtorch3c2 on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libtorch3c2
            
                    
    
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2. Uninstall "libtorch3c2" package

Please follow the guidelines below to uninstall libtorch3c2 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libtorch3c2
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtorch3c2 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libtorch3c2
Priority: optional
Section: universe/libs
Installed-Size: 586
Maintainer: Ubuntu Developers
Original-Maintainer: Cosimo Alfarano
Architecture: amd64
Source: torch3
Version: 3.1-2.1build1
Provides: libtorch
Depends: libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.1.1)
Conflicts: libtorch3
Filename: pool/universe/t/torch3/libtorch3c2_3.1-2.1build1_amd64.deb
Size: 211944
MD5sum: 8ef77423182f9152f2620160ecdfc175
SHA1: 65de44728a6d4fba153fd4c64481d8c82875ba71
SHA256: d52edc386bd559c59648d5b88caa1178ec2a9a62af06df1c6aadfc85fe5846db
Description-en: State of the art machine learning library - runtime library
Torch is a machine-learning library, written in C++. Its aim is to
provide the state-of-the-art of the best algorithms for
machine-learning.
.
* Many gradient-based methods, including multi-layered perceptrons,
radial basis functions, and mixtures of experts. Many small "modules"
(Linear module, Tanh module, SoftMax module, ...) can be plugged
together.
* Support Vector Machine, for classification and regression.
* Distribution package, includes Kmeans, Gaussian Mixture Models,
Hidden Markov Models, and Bayes Classifier, and classes for speech
recognition with embedded training.
* Ensemble models such as Bagging and Adaboost.
* Non-parametric models such as K-nearest-neighbors, Parzen Regression
and Parzen Density Estimator.
.
This package is the Torch runtime library.
Description-md5: 329693d5991c8e9e703b83dc6cb3ed06
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu