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Install PyTorch distributions from the latest wheels.
Project description
Note
This project is deprecated and will see no further development. It is supersededby light-the-torch .
Original README below.
Disclaimer
Neither this project (pytorch_wheel_installer) nor its author (Philip Meier) areaffiliated with PyTorch in any way. PyTorch and any relatedmarks are trademarks of Facebook, Inc.
pytorch_wheel_installer
Commandline utility and tox -plugin toinstall PyTorch distributions from the latest wheels. The computation backend (CPU,CUDA), the language version, and the platform are detected automatically but can beoverwritten manually.
| package |
|---|
| code |
| tests |
Installation
The latest stable version can be installed with
Mcafee Setup Download
The latest potentially unstable version can be installed with
Usage
CLI
The CLI can be invoked by pytorch_wheel_installer or its shorthand pwi.
The --no-install option can be used to pipe or redirect the wheel links such asgenerating a requirements.txt file:
tox
If neither --pytorch-install nor pytorch_install = true is given, nothing isinstalled.
Python
To find the links to the wheels for a specific setup, the function find_links canbe used from within Python:
Release historyRelease notifications | RSS feed
0.2.1
0.2.0
Torch Setup Download Freeclubsoftsoftram Windows 10
0.1.1.post0
0.1.0
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pytorch_wheel_installer-0.2.1-py3-none-any.whl (11.5 kB) | File type Wheel | Python version py3 | Upload date | Hashes |
| Filename, size pytorch_wheel_installer-0.2.1.tar.gz (8.7 kB) | File type Source | Python version None | Upload date | Hashes |
Hashes for pytorch_wheel_installer-0.2.1-py3-none-any.whl
| Algorithm | Hash digest |
|---|---|
| SHA256 | be4814c8b973e1bdc0e5cfb7d9dbdbe459872a3137e6b5fa086e924b172b2fcd |
| MD5 | befda6b4892092cdf16002f14efaf048 |
| BLAKE2-256 | c6c69120db517398c3a72ef177969892a22e9a786ab6af3fb8dfed0e869162c8 |
Hashes for pytorch_wheel_installer-0.2.1.tar.gz
| Algorithm | Hash digest |
|---|---|
| SHA256 | 51827a476ee149ce46ad8ab0773ee814c087384ba2585308ec1d7cbf9648ce40 |
| MD5 | 969ec439ff148ad078ec281bc18cfdce |
| BLAKE2-256 | 79db7f18d7678d4b8296c5540b611645b44a09c2815f11d010c99e078b85c281 |
PyTorch Geometric is a geometric deep learning extension library for PyTorch.
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers.In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds.
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Notes
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Package Reference