AI-Hypercomputer / AI-Hypercomputer/maxtext
Support beam search
- 主要语言
- Python
- 星标
- 2.4k
- 派生
- 607
- 平均合并
- 2 天 19 小时
- 30 天内合并 PR
- 158
描述
Hi,
It would be nice to support beam search.
There is [the reference flax implementation in wmt example](https://github.com/google/flax/blob/main/examples/wmt/decode.py) and [the equivalent one from `transformers`](https://github.com/huggingface/transformers/blob/main/src/transformers/generation/flax_utils.py).
I am guessing that we could:
* duplicate inputs per num_beams initially
* at each step we do:
* decode_step
* select top beams
* overwrite entire past cache per selected beams
* update cache with new selected tokens
So maybe the extra step here is to add the "overwrite entire past cache per selected beams"?
Curious if you have suggestions for implementation
贡献指南
评估
这个 Issue 还没有评估数据。