How to Install and Uninstall python3-torch Package on openSUSE Leap
Last updated: December 24,2024
1. Install "python3-torch" package
This tutorial shows how to install python3-torch on openSUSE Leap
$
sudo zypper refresh
Copied
$
sudo zypper install
python3-torch
Copied
2. Uninstall "python3-torch" package
Learn how to uninstall python3-torch on openSUSE Leap:
$
sudo zypper remove
python3-torch
Copied
3. Information about the python3-torch package on openSUSE Leap
Information for package python3-torch:
--------------------------------------
Repository : Main Repository
Name : python3-torch
Version : 1.4.0-bp155.2.12
Arch : x86_64
Vendor : openSUSE
Installed Size : 93.9 MiB
Installed : No
Status : not installed
Source package : python-torch-1.4.0-bp155.2.12.src
Upstream URL : https://pytorch.org
Summary : Deep learning framework aka pytorch/Caffe2
Description :
PyTorch enables fast, flexible experimentation and efficient production through
a hybrid front-end, distributed training, and ecosystem of tools and libraries.
The library is developed by Facebook and other groups.
PyTorch provides two high-level features:
* Tensor computing (like NumPy) with strong acceleration via graphics
* processing units (GPU) Deep neural networks built on a tape-based autodiff
system
--------------------------------------
Repository : Main Repository
Name : python3-torch
Version : 1.4.0-bp155.2.12
Arch : x86_64
Vendor : openSUSE
Installed Size : 93.9 MiB
Installed : No
Status : not installed
Source package : python-torch-1.4.0-bp155.2.12.src
Upstream URL : https://pytorch.org
Summary : Deep learning framework aka pytorch/Caffe2
Description :
PyTorch enables fast, flexible experimentation and efficient production through
a hybrid front-end, distributed training, and ecosystem of tools and libraries.
The library is developed by Facebook and other groups.
PyTorch provides two high-level features:
* Tensor computing (like NumPy) with strong acceleration via graphics
* processing units (GPU) Deep neural networks built on a tape-based autodiff
system