How to Install and Uninstall python3-onnx Package on Kali Linux
Last updated: December 23,2024
1. Install "python3-onnx" package
This guide let you learn how to install python3-onnx on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-onnx
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2. Uninstall "python3-onnx" package
Please follow the instructions below to uninstall python3-onnx on Kali Linux:
$
sudo apt remove
python3-onnx
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-onnx package on Kali Linux
Package: python3-onnx
Source: onnx
Version: 1.14.1-2
Installed-Size: 5384
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-numpy, python3-protobuf, python3-typing-extensions, python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libonnx1 (>= 1.14.1), libprotobuf32 (>= 3.21.12), libstdc++6 (>= 13.1)
Size: 881068
SHA256: 8c34ac87cf65fb9d28348c8c8c748c55914f60fc114e53eedb74bebad6ebd90c
SHA1: a522b5883d53714cc57e42b675f245f0ce3ed4bf
MD5sum: 5508ce4bee57d290039c9ed71bf892f6
Description: Open Neural Network Exchange (ONNX) (Python)
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 python interface.
Description-md5:
Homepage: https://onnx.ai
Section: science
Priority: optional
Filename: pool/main/o/onnx/python3-onnx_1.14.1-2_amd64.deb
Source: onnx
Version: 1.14.1-2
Installed-Size: 5384
Maintainer: Debian Deep Learning Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-numpy, python3-protobuf, python3-typing-extensions, python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libonnx1 (>= 1.14.1), libprotobuf32 (>= 3.21.12), libstdc++6 (>= 13.1)
Size: 881068
SHA256: 8c34ac87cf65fb9d28348c8c8c748c55914f60fc114e53eedb74bebad6ebd90c
SHA1: a522b5883d53714cc57e42b675f245f0ce3ed4bf
MD5sum: 5508ce4bee57d290039c9ed71bf892f6
Description: Open Neural Network Exchange (ONNX) (Python)
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 python interface.
Description-md5:
Homepage: https://onnx.ai
Section: science
Priority: optional
Filename: pool/main/o/onnx/python3-onnx_1.14.1-2_amd64.deb