How to Install and Uninstall libtorch3-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: June 01,2024

1. Install "libtorch3-dev" package

This guide covers the steps necessary to install libtorch3-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libtorch3-dev
            
                    
    
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2. Uninstall "libtorch3-dev" package

This guide let you learn how to uninstall libtorch3-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libtorch3-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtorch3-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libtorch3-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 2432
Maintainer: Ubuntu Developers
Original-Maintainer: Cosimo Alfarano
Architecture: amd64
Source: torch3
Version: 3.1-2.1build1
Provides: libtorch-dev
Depends: libtorch3c2 (= 3.1-2.1build1)
Conflicts: libtorch-dev, libtorch1-dev
Filename: pool/universe/t/torch3/libtorch3-dev_3.1-2.1build1_amd64.deb
Size: 944332
MD5sum: d691174b727c9cef527b8781086133af
SHA1: f99df15044408926ee8eef4d42abf711895d3acb
SHA256: 74f9a6d68c0d35f6a7f9863dfac96eb98b35b6113e7f593e76371b55a6203d57
Description-en: State of the art machine learning library - development files
Torch is a machine-learning library, written in C++. Its aim is to
provide the state-of-the-art of the best algorithms.
.
* 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 development package (header files and
static library.)
Description-md5: 97624bfafba0dbe54105f0799a38e8b7
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu