How to Install and Uninstall python38-onnxconverter-common Package on openSuSE Tumbleweed
Last updated: November 23,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-onnxconverter-common" package
Please follow the step by step instructions below to install python38-onnxconverter-common on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-onnxconverter-common
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2. Uninstall "python38-onnxconverter-common" package
Please follow the steps below to uninstall python38-onnxconverter-common on openSuSE Tumbleweed:
$
sudo zypper remove
python38-onnxconverter-common
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3. Information about the python38-onnxconverter-common package on openSuSE Tumbleweed
Information for package python38-onnxconverter-common:
------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-onnxconverter-common
Version : 1.8.0-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 761,8 KiB
Installed : No
Status : not installed
Source package : python-onnxconverter-common-1.8.0-1.4.src
Summary : ONNX Converter and Optimization Tools
Description :
The onnxconverter-common package provides common functions and utilities for
use in converters from various AI frameworks to ONNX. It also enables the
different converters to work together to convert a model from mixed frameworks,
like a scikit-learn pipeline embedding a xgboost model.
------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-onnxconverter-common
Version : 1.8.0-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 761,8 KiB
Installed : No
Status : not installed
Source package : python-onnxconverter-common-1.8.0-1.4.src
Summary : ONNX Converter and Optimization Tools
Description :
The onnxconverter-common package provides common functions and utilities for
use in converters from various AI frameworks to ONNX. It also enables the
different converters to work together to convert a model from mixed frameworks,
like a scikit-learn pipeline embedding a xgboost model.