patrick-kidger / patrick-kidger/diffrax
Use Kahan summation?
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- Dominant language
- Python
- Stars
- 2.1k
- Forks
- 189
- Avg merge
- 3d 18h
- Merged PRs (30d)
- 1
Description
At least as an option, this might be a nice thing to have.
Would need to think about the correct way of backpropagating through it + making sure XLA doesn't compile it away.
C.f. also Section VIII.5 of Hairer-Lubich-Wanner, which is the only reference I know of that actually discusses this.
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
No file, test, or entry point is named; begin by locating the summation logic and its differentiation path. Review Section VIII.5 of Hairer-Lubich-Wanner and determine how an optional Kahan summation mode could preserve correct backpropagation without being compiled away by XLA; done requires an agreed design and tests for both behaviors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100