How to Install and Uninstall tensorflow_1_15_4-gnu-hpc-devel Package on openSUSE Leap
Last updated: November 05,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "tensorflow_1_15_4-gnu-hpc-devel" package
This tutorial shows how to install tensorflow_1_15_4-gnu-hpc-devel on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
tensorflow_1_15_4-gnu-hpc-devel
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2. Uninstall "tensorflow_1_15_4-gnu-hpc-devel" package
This guide covers the steps necessary to uninstall tensorflow_1_15_4-gnu-hpc-devel on openSUSE Leap:
$
sudo zypper remove
tensorflow_1_15_4-gnu-hpc-devel
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3. Information about the tensorflow_1_15_4-gnu-hpc-devel package on openSUSE Leap
Information for package tensorflow_1_15_4-gnu-hpc-devel:
--------------------------------------------------------
Repository : Main Repository
Name : tensorflow_1_15_4-gnu-hpc-devel
Version : 1.15.4-bp153.1.75
Arch : x86_64
Vendor : openSUSE
Installed Size : 36,3 MiB
Installed : No
Status : not installed
Source package : tensorflow_1_15_4-gnu-hpc-1.15.4-bp153.1.75.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_1_15_4-gnu-hpc-devel
Version : 1.15.4-bp153.1.75
Arch : x86_64
Vendor : openSUSE
Installed Size : 36,3 MiB
Installed : No
Status : not installed
Source package : tensorflow_1_15_4-gnu-hpc-1.15.4-bp153.1.75.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