How to Install and Uninstall libtorch2.0 Package on Ubuntu 23.10 (Mantic Minotaur)

Last updated: May 18,2024

1. Install "libtorch2.0" package

This tutorial shows how to install libtorch2.0 on Ubuntu 23.10 (Mantic Minotaur)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libtorch2.0
            
                    
    
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2. Uninstall "libtorch2.0" package

This guide covers the steps necessary to uninstall libtorch2.0 on Ubuntu 23.10 (Mantic Minotaur):


    
        
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                sudo apt remove
            
                        
                libtorch2.0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libtorch2.0 package on Ubuntu 23.10 (Mantic Minotaur)

Package: libtorch2.0
Architecture: amd64
Version: 2.0.1+dfsg-4
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: pytorch
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 143699
Depends: libavcodec60 (>= 7:6.0), libavformat60 (>= 7:6.0), libavutil58 (>= 7:6.0), libblas3 | libblas.so.3, libc6 (>= 2.38), libcpuinfo0 (>= 0.0~git20220819.8ec7bd9~), libdnnl2 (>= 2.7.4), libfmt9 (>= 9.1.0+ds1), libgcc-s1 (>= 3.4), libgloo0 (>= 0.0~git20230117.1090929), libgomp1 (>= 4.9), liblapack3 | liblapack.so.3, libleveldb1d (>= 1.23), liblmdb0 (>= 0.9.6), libnuma1 (>= 2.0.11), libonnx1 (>= 1.13.1), libopencv-calib3d406 (>= 4.6.0+dfsg), libopencv-contrib406 (>= 4.6.0+dfsg), libopencv-core406 (>= 4.6.0+dfsg), libopencv-dnn406 (>= 4.6.0+dfsg), libopencv-features2d406 (>= 4.6.0+dfsg), libopencv-flann406 (>= 4.6.0+dfsg), libopencv-highgui406 (>= 4.6.0+dfsg), libopencv-imgcodecs406 (>= 4.6.0+dfsg), libopencv-imgproc406 (>= 4.6.0+dfsg), libopencv-video406 (>= 4.6.0+dfsg), libopencv-videoio406 (>= 4.6.0+dfsg), libprotobuf32 (>= 3.21.12), libpthreadpool0 (>= 0.0~git20210507.1787867~), libsleef3 (>= 3.3), libsnappy1v5 (>= 1.1.10), libstdc++6 (>= 13.1), libswresample4 (>= 7:6.0), libswscale7 (>= 7:6.0), libtensorpipe0 (>= 0.0~git20220513.bb1473a), libxnnpack0 (>= 0.0~git20221221.51a9875), libzmq5 (>= 3.2.3+dfsg), libzstd1 (>= 1.5.5), ocl-icd-libopencl1 | libopencl1
Recommends: libopenblas0 | libblis3 | libatlas3-base | libmkl-rt | libblas3
Conflicts: libtorch-cuda-1.13, libtorch-cuda-2.0, libtorch1.13
Replaces: libtorch-cuda-1.13, libtorch-cuda-2.0, libtorch1.13
Filename: pool/universe/p/pytorch/libtorch2.0_2.0.1+dfsg-4_amd64.deb
Size: 34796066
MD5sum: f98678e5ea39de0af8be43bfb557211f
SHA1: 487b6ea8bba3808407432b9db9e14a5c991a301c
SHA256: 6685a7af936bbf1ad78f421bcc56dd43e16fc2c2c006dab37555458bec9ae6cd
SHA512: 4829e3da084584e431ed1ca28258bf8403d4027ba4404bc33c6669162b197fb3cf975035c9e71e4cebb10c4d61aa482f75e5a4baa2cb0cc7db045b9143d31f15
Homepage: https://pytorch.org/
Description: Tensors and Dynamic neural networks in Python (Shared Objects)
Description-md5: 2af9ff00ffc5dab05134d4e047aa0a15