How to Install and Uninstall tensorflow-lite-devel Package on openSUSE Leap
Last updated: November 07,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "tensorflow-lite-devel" package
Please follow the guidelines below to install tensorflow-lite-devel on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
tensorflow-lite-devel
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2. Uninstall "tensorflow-lite-devel" package
Please follow the guidance below to uninstall tensorflow-lite-devel on openSUSE Leap:
$
sudo zypper remove
tensorflow-lite-devel
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3. Information about the tensorflow-lite-devel package on openSUSE Leap
Information for package tensorflow-lite-devel:
----------------------------------------------
Repository : Main Repository
Name : tensorflow-lite-devel
Version : 1.15.4-bp153.1.13
Arch : x86_64
Vendor : openSUSE
Installed Size : 23,8 MiB
Installed : No
Status : not installed
Source package : tensorflow-lite-1.15.4-bp153.1.13.src
Summary : Header files of tensorflow
Description :
This open source software library for numerical computation is used for data
flow graphs. The graph nodes represent mathematical operations, while the graph
edges represent the multidimensional data arrays (tensors) that flow between
them. This flexible architecture enables you to deploy computation to one or
more CPUs in a desktop, server, or mobile device without rewriting code.
This package provides necessary headers for the C/C++ Api
----------------------------------------------
Repository : Main Repository
Name : tensorflow-lite-devel
Version : 1.15.4-bp153.1.13
Arch : x86_64
Vendor : openSUSE
Installed Size : 23,8 MiB
Installed : No
Status : not installed
Source package : tensorflow-lite-1.15.4-bp153.1.13.src
Summary : Header files of tensorflow
Description :
This open source software library for numerical computation is used for data
flow graphs. The graph nodes represent mathematical operations, while the graph
edges represent the multidimensional data arrays (tensors) that flow between
them. This flexible architecture enables you to deploy computation to one or
more CPUs in a desktop, server, or mobile device without rewriting code.
This package provides necessary headers for the C/C++ Api