Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI

Related tags

Deep Learningdeep-learningtransformersartificial-intelligence
Overview

Hourglass Transformer - Pytorch (wip)

Implementation of Hourglass Transformer, in Pytorch. It will also contain some of my own ideas about how to make it work better.

Citations

@misc{nawrot2021hierarchical,
    title   = {Hierarchical Transformers Are More Efficient Language Models}, 
    author  = {Piotr Nawrot and Szymon Tworkowski and Michał Tyrolski and Łukasz Kaiser and Yuhuai Wu and Christian Szegedy and Henryk Michalewski},
    year    = {2021},
    eprint  = {2110.13711},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}
}
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Comments
  • No option for rotary positional embeddings

    No option for rotary positional embeddings

    For the ImageNet64 generation experiments, the original authors used rotary positional embeddings. I think it would be worth adding this feature to the repository.

    I can prepare a pull request that solves this~

    opened by vvvm23 4
  • Issue with an example

    Issue with an example

    @lucidrains Just Awesome to see this super fast launch !

    The third example under "For Images...." throws the following error .,

    image

    Then , when I gave the inputs with num_tokens = 20000, max_seq_len = 1024, I got the following runtime error

    image

    opened by nsankar 1
Owner
Phil Wang
Working with Attention. It's all we need
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