How to Install and Uninstall libonnx1 Package on Kali Linux
Last updated: December 22,2024
1. Install "libonnx1" package
Please follow the guidelines below to install libonnx1 on Kali Linux
$
sudo apt update
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$
sudo apt install
libonnx1
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2. Uninstall "libonnx1" package
Please follow the guidelines below to uninstall libonnx1 on Kali Linux:
$
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 Kali Linux
Package: libonnx1
Source: onnx
Version: 1.14.1-2
Installed-Size: 3879
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.0), libprotobuf32 (>= 3.21.12), libstdc++6 (>= 13.1)
Size: 1060892
SHA256: 1fe7c8f53f57f401412881adf6bd8cf39d504eb9a55e9e866708e4c0264e16f1
SHA1: 710ae3eb81bd5ae1bfd7d90a2c27d8142a05ce8b
MD5sum: 3d1ee8e5ec5077d43e9a9c413715afde
Description: 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:
Multi-Arch: same
Homepage: https://onnx.ai
Section: science
Priority: optional
Filename: pool/main/o/onnx/libonnx1_1.14.1-2_amd64.deb
Source: onnx
Version: 1.14.1-2
Installed-Size: 3879
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.0), libprotobuf32 (>= 3.21.12), libstdc++6 (>= 13.1)
Size: 1060892
SHA256: 1fe7c8f53f57f401412881adf6bd8cf39d504eb9a55e9e866708e4c0264e16f1
SHA1: 710ae3eb81bd5ae1bfd7d90a2c27d8142a05ce8b
MD5sum: 3d1ee8e5ec5077d43e9a9c413715afde
Description: 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:
Multi-Arch: same
Homepage: https://onnx.ai
Section: science
Priority: optional
Filename: pool/main/o/onnx/libonnx1_1.14.1-2_amd64.deb