How to Install and Uninstall python3-tensorboard-cmd Package on openSuSE Tumbleweed
Last updated: November 22,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python3-tensorboard-cmd" package
This is a short guide on how to install python3-tensorboard-cmd on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python3-tensorboard-cmd
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2. Uninstall "python3-tensorboard-cmd" package
This guide covers the steps necessary to uninstall python3-tensorboard-cmd on openSuSE Tumbleweed:
$
sudo zypper remove
python3-tensorboard-cmd
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3. Information about the python3-tensorboard-cmd package on openSuSE Tumbleweed
Information for package python3-tensorboard-cmd:
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-tensorboard-cmd
Version : 2.6.0-2.1
Arch : noarch
Vendor : openSUSE
Installed Size : 28,8 KiB
Installed : No
Status : not installed
Source package : python-tensorboard-2.6.0-2.1.src
Summary : TensorFlow's Visualization Toolkit -- standalone command
Description :
TensorBoard is a suite of web applications for inspecting and understanding
your TensorFlow runs and graphs.
TensorBoard is designed to run entirely offline, without requiring any access
to the Internet. For instance, this may be on your local machine, behind a
corporate firewall, or in a datacenter.
This package provides the command if it is meant to be used without tensorflow2
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-tensorboard-cmd
Version : 2.6.0-2.1
Arch : noarch
Vendor : openSUSE
Installed Size : 28,8 KiB
Installed : No
Status : not installed
Source package : python-tensorboard-2.6.0-2.1.src
Summary : TensorFlow's Visualization Toolkit -- standalone command
Description :
TensorBoard is a suite of web applications for inspecting and understanding
your TensorFlow runs and graphs.
TensorBoard is designed to run entirely offline, without requiring any access
to the Internet. For instance, this may be on your local machine, behind a
corporate firewall, or in a datacenter.
This package provides the command if it is meant to be used without tensorflow2