Transformer with Normalized Attention

A Transformer that consists of only normalization as its sole non-linearity, as proposed in the paper Normalized Attention Without Probability Cage. This repository will build on the paper's contributions and attempt to make it work for the auto-regressive case.

Update - It works. You can have an entire language model built on only matrix multiplies and normalization.

Pre-requisites

$ pip install -r requirements.txt

Train

$ python train_enwik8.py

Citations

@misc{richter2020normalized,
    title={Normalized Attention Without Probability Cage},
    author={Oliver Richter and Roger Wattenhofer},
    year={2020},
    eprint={2005.09561},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}