How to Install and Uninstall libonnx-testdata Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 22,2024

1. Install "libonnx-testdata" package

Please follow the guidelines below to install libonnx-testdata on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libonnx-testdata
            
                    
    
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2. Uninstall "libonnx-testdata" package

Please follow the steps below to uninstall libonnx-testdata on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libonnx-testdata
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libonnx-testdata package on Ubuntu 21.04 (Hirsute Hippo)

Package: libonnx-testdata
Architecture: all
Version: 1.7.0+dfsg-3build1
Multi-Arch: foreign
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: 14617
Filename: pool/universe/o/onnx/libonnx-testdata_1.7.0+dfsg-3build1_all.deb
Size: 1581044
MD5sum: e63db2ca2b2992e1a5e8ad9a836abd16
SHA1: 30cddb0286dfebe94840415fbc6f601df9f88e0a
SHA256: bbcfb8b2f65913732c81b9cf20636f627aed1d42ea1e7ae6ed4e51245f9f70d1
SHA512: d5544a074cea5710d63524b6046a19a559720eeb8d89f8cb93543d46d8a83859a268a5e3645d828e93d1be9c58b655acab36d93439dc4e708bbd24b013d3fa46
Homepage: https://onnx.ai
Description-en: Open Neural Network Exchange (ONNX) (test data)
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 test data.
Description-md5: fb18c1bb8d0c77628e2687ebbe330b61