How to Install and Uninstall libxnnpack-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "libxnnpack-dev" package

Here is a brief guide to show you how to install libxnnpack-dev on Ubuntu 21.10 (Impish Indri)


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

In this section, we are going to explain the necessary steps to uninstall libxnnpack-dev on Ubuntu 21.10 (Impish Indri):


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

Package: libxnnpack-dev
Architecture: amd64
Version: 0.0~git20201031.beca652+really.git20200323.1b35463-2
Priority: optional
Section: universe/math
Source: xnnpack
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 66
Depends: libxnnpack0 (= 0.0~git20201031.beca652+really.git20200323.1b35463-2)
Filename: pool/universe/x/xnnpack/libxnnpack-dev_0.0~git20201031.beca652+really.git20200323.1b35463-2_amd64.deb
Size: 8680
MD5sum: 1650e89e4930a435a033faa00f2b5750
SHA1: b3a958718af75c318f7590cc5042e68c1cd6a01e
SHA256: dceae57331929d85410ee2566968f348eb7dc9167c628cf534543bffcd79dce3
SHA512: 34c15c10c858698873676d2825c9cd94a30ec3c957534d9a33f174cff042672a448dc22bce0c6b584e8f86bd7c8097b1de2a3497cce7491783b7b8d219754e9b
Homepage: https://github.com/google/XNNPACK
Description-en: High-efficiency floating-point neural network inference operators (dev)
XNNPACK is a highly optimized library of floating-point neural network
inference operators for ARM, WebAssembly, and x86 platforms. XNNPACK is not
intended for direct use by deep learning practitioners and researchers; instead
it provides low-level performance primitives for accelerating high-level
machine learning frameworks, such as TensorFlow Lite, TensorFlow.js, PyTorch,
and MediaPipe.
.
This package contains the development files.
Description-md5: f064c03339a957a624bfd901ed00b487