torch implement of TQT
Project description
TQT
TQT's pytorch implementation.
Notice
Now availabel at pip install tqt
!
Networks quantized via this package could be find at https://github.com/PannenetsF/QuantizationPool.
Contributing
It will be great of you to make this project better! There is some ways to contribute!
- To start with, issues and feature request could let maintainers know what's wrong or anything essential to be added.
- If you use the package in you work/repo, just cite the repo and add a dependency note!
- You can add some function in
torch.nn
likeHardTanh
and feel free to open a pull request! The code style is simple as here.
Acknowledgment
The initial version of tqt-torch is developed by Jinyu Bai.
The beta version was tested by Jinghan Xu, based on whose feedback a lot of bugs were fixed.
The original papar could be find at Arxiv, Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tqt-1.0.2.tar.gz
(15.2 kB
view hashes)
Built Distribution
tqt-1.0.2-py3-none-any.whl
(26.1 kB
view hashes)