How to Install and Uninstall leela-zero Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 24,2024

1. Install "leela-zero" package

Please follow the steps below to install leela-zero on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                leela-zero
            
                    
    
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2. Uninstall "leela-zero" package

Please follow the guidelines below to uninstall leela-zero on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                leela-zero
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the leela-zero package on Ubuntu 21.10 (Impish Indri)

Package: leela-zero
Architecture: amd64
Version: 0.17-1build3
Priority: optional
Section: universe/games
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Ximin Luo
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1692
Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.30), libgcc-s1 (>= 3.0), libqt5core5a (>= 5.15.1), libstdc++6 (>= 9), ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1, zlib1g (>= 1:1.1.4)
Recommends: opencl-icd, clinfo
Filename: pool/universe/l/leela-zero/leela-zero_0.17-1build3_amd64.deb
Size: 511068
MD5sum: 306c977baa3d321213e2de8c85d48a26
SHA1: a67c3cf1829a83fa706b85c01341abfe8706ffc9
SHA256: 7ad167378a7618acbdb3cc1c8ff68609d1e858d6a5b145f4b5aa500078d1aee2
SHA512: dd80acfd2ae2e69121de08a0e277141060eaedb7fbdb22a9752ad7da6794650bf6ab9278ab77cdbb845bdef284b974c516c1726c37a4b44f6e9c44c7ce332359
Homepage: https://github.com/gcp/leela-zero
Description-en: Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper
A Go program with no human provided knowledge. Using MCTS (but without Monte
Carlo playouts) and a deep residual convolutional neural network stack.
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This is a fairly faithful reimplementation of the system described in the
Alpha Go Zero paper "Mastering the Game of Go without Human Knowledge". For
all intents and purposes, it is an open source AlphaGo Zero.
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https://deepmind.com/documents/119/agz_unformatted_nature.pdf
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No network weights are in this repository. If you manage to obtain the AlphaGo
Zero weights, this program will be about as strong, provided you also obtain a
few Tensor Processing Units. Lacking those TPUs, the author recommends a top
of the line GPU - it's not exactly the same, but the result would still be an
engine that is far stronger than the top humans.
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Recomputing the AlphaGo Zero weights will take about 1700 years on commodity
hardware. Upstream is running a public, distributed effort to repeat this
work. Working together, and especially when starting on a smaller scale, it
will take less than 1700 years to get a good network (which you can feed into
this program, suddenly making it strong). To help with this effort, run the
leelaz-autogtp binary provided in this package. The best-known network weights
file is at http://zero.sjeng.org/best-network
Description-md5: d63f9baa6d6e8d9efc5591d53534d153