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

Last updated: May 20,2024

1. Install "libonnx-dev" package

Learn how to install libonnx-dev on Ubuntu 21.04 (Hirsute Hippo)


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

This guide covers the steps necessary to uninstall libonnx-dev on Ubuntu 21.04 (Hirsute Hippo):


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

Package: libonnx-dev
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: 1122
Depends: libonnx1 (= 1.7.0+dfsg-3build1), libonnxifi (= 1.7.0+dfsg-3build1)
Filename: pool/universe/o/onnx/libonnx-dev_1.7.0+dfsg-3build1_amd64.deb
Size: 119432
MD5sum: 8c203dae337dd8e3f33c3cb887147f90
SHA1: 5f7e7a9ff0f28227a05d7ef0750f911be1705a12
SHA256: 3f3abf9aaffe5e8f002a927da186611806b315952cf5d0e6f6b5db8a6dc418ba
SHA512: dc28a14aaaac7269c6fdf32976ef6bcc281b20b06e5f542c44fce4e98408b92592ccdb9c754d6fe6ea43fb2c336000cfc304964f2cdabd887404b69c43127d8a
Homepage: https://onnx.ai
Description-en: Open Neural Network Exchange (ONNX) (dev)
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 development files.
Description-md5: 665d15b57bf5a0586e4708b9d70c2818