Resources about transformer in jax:

• Attention is all you need: https://arxiv.org/abs/1706.03762
• Annotated transformer (Pytorch): https://nlp.seas.harvard.edu/2018/04/03/attention.html
• einsum:
  • videos:
    • Youtube: https://youtu.be/ULY6pncbRY8
    • Bilibili: https://www.bilibili.com/video/BV1ee411g7Sv
  • code snippets: https://numpy.org/doc/stable/reference/generated/numpy.einsum.html
  • einops: https://github.com/arogozhnikov/einops/
• Jax:
  • Jax: https://jax.readthedocs.io/en/latest/index.html
    • jax is "functional" https://jax.readthedocs.io/en/latest/jax-101/01-jax-basics.html#differences-from-numpy
  • Haiku: https://dm-haiku.readthedocs.io/en/latest/index.html
    • Haiku101: Haiku库的基本使用逻辑 - 谷雨的文章 - 知乎 https://zhuanlan.zhihu.com/p/471892075
• reference implementations I used yesterday:
  • haiku: this is cleaner but more functional & the transformer is not complete
    • https://github.com/deepmind/dm-haiku/blob/c18be3df5e85796492f2915af261b5517f12bacc/examples/transformer/model.py
    • https://github.com/deepmind/dm-haiku/blob/c18be3df5e85796492f2915af261b5517f12bacc/haiku/_src/attention.py
  • flax: this is more complex and easier to get lost
    • https://github.com/google/flax/blob/6dba29098fba23a457e87f104bfef2704dbf54cd/examples/wmt/models.py
    • https://github.com/google/flax/blob/cc88a73f5cf3d5970981c104364bc5864841db1a/flax/linen/attention.py
  • elegy: perhaps use it for training loop
    • https://github.com/poets-ai/elegy