google-deepmind / google-deepmind/spectral_ssm
step helper
Open
- Dominant language
- Python
- Stars
- 36
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
Would you have an idea how one can adapt the code to be able to do auto-regressive steps (for inference)? Is the fact that the `input_len` is fixed an issue?
Contributor guide
Research direction
Start by reading the repository's Python implementation and the code that uses input_len for inference. Determine how auto-regressive steps should work when input_len is fixed, then define a concrete completion criterion for supporting inference-time stepping and validate it with the repository's existing checks.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100