patrick-kidger / patrick-kidger/diffrax
Support integral losses with `BacksolveAdjoint`
Open
Nobody has claimed this yet.
feature
- Dominant language
- Python
- Stars
- 2.1k
- Forks
- 189
- Avg merge
- 3d 18h
- Merged PRs (30d)
- 1
Description
c.f. the discussion in #60.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the discussion in issue #60, then trace the BacksolveAdjoint entry point in the Diffrax source. Determine the intended behavior for integral losses and identify the relevant validation or test coverage; the work is done when that behavior is supported and verified.
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
- 15/100