How to Install and Uninstall libonnx1 Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 05,2024

1. Install "libonnx1" package

This guide covers the steps necessary to install libonnx1 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libonnx1
            
                    
    
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2. Uninstall "libonnx1" package

This tutorial shows how to uninstall libonnx1 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libonnx1
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libonnx1 package on Ubuntu 21.10 (Impish Indri)

Package: libonnx1
Architecture: amd64
Version: 1.7.0+dfsg-3build1
Multi-Arch: same
Priority: optional
Section: universe/science
Source: onnx
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2629
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 9)
Filename: pool/universe/o/onnx/libonnx1_1.7.0+dfsg-3build1_amd64.deb
Size: 660732
MD5sum: 9df3cbd7313a358cece69d29dedb27dd
SHA1: 05b2fed59e16e92fa68d9ea8007ca211bb153cc2
SHA256: 3efbb4c96e79492ed6fc164a354c15eafc51b4c1868594cc8bcc8ff58cf488ff
SHA512: 329a9b52572e0abaa99ac20b8ea36ba1e141f35abb57ac260fbf879a8351f1b6ad6066e4b11cbb1ccd66bcf2579920d3068fdefaacd08d9999135ab9c25f1714
Homepage: https://onnx.ai
Description-en: Open Neural Network Exchange (ONNX) (libs)
Open Neural Network Exchange (ONNX) is the first step toward an open ecosystem
that empowers AI developers to choose the right tools as their project evolves.
ONNX provides an open source format for AI models. It defines an extensible
computation graph model, as well as definitions of built-in operators and
standard data types. Initially onnx focuses on the capabilities needed for
inferencing (evaluation).
.
Caffe2, PyTorch, Microsoft Cognitive Toolkit, Apache MXNet and other tools are
developing ONNX support. Enabling interoperability between different frameworks
and streamlining the path from research to production will increase the speed
of innovation in the AI community.
.
This package contains the shared objects.
Description-md5: 8eff9e20f3c4a74e9c6c4d5fdede8900