How to Install and Uninstall libxnnpack-dev Package on Kali Linux
Last updated: February 02,2025
1. Install "libxnnpack-dev" package
This guide let you learn how to install libxnnpack-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libxnnpack-dev
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2. Uninstall "libxnnpack-dev" package
This guide let you learn how to uninstall libxnnpack-dev on Kali Linux:
$
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 Kali Linux
Package: libxnnpack-dev
Source: xnnpack
Version: 0.0~git20221221.51a9875-1
Installed-Size: 175
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: libxnnpack0 (= 0.0~git20221221.51a9875-1)
Size: 16716
SHA256: 9bde6d07a3230bdf5e1177a0b6f71a82f7dbd4a0fd265a0ef593e75f8faa661a
SHA1: c0f1c41e1cdb8651ec272e253356a72cead8560f
MD5sum: 652ec60167adeee369e743ccaa71394f
Description: 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:
Homepage: https://github.com/google/XNNPACK
Section: math
Priority: optional
Filename: pool/main/x/xnnpack/libxnnpack-dev_0.0~git20221221.51a9875-1_amd64.deb
Source: xnnpack
Version: 0.0~git20221221.51a9875-1
Installed-Size: 175
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: libxnnpack0 (= 0.0~git20221221.51a9875-1)
Size: 16716
SHA256: 9bde6d07a3230bdf5e1177a0b6f71a82f7dbd4a0fd265a0ef593e75f8faa661a
SHA1: c0f1c41e1cdb8651ec272e253356a72cead8560f
MD5sum: 652ec60167adeee369e743ccaa71394f
Description: 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:
Homepage: https://github.com/google/XNNPACK
Section: math
Priority: optional
Filename: pool/main/x/xnnpack/libxnnpack-dev_0.0~git20221221.51a9875-1_amd64.deb