JuliaDiff / JuliaDiff/AbstractDifferentiation.jl
API for user code to detect if it's being differentiated
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 138
- Forks
- 18
- PR merge metrics
- No merged PRs in 30d
Description
The most recent iteration of this discussion was https://github.com/FluxML/NNlib.jl/pull/434, but it goes back to https://github.com/JuliaDiff/ChainRulesCore.jl/issues/547 and much further. Given that not all ADs are ChainRules compatible but this package seeks to support (/eventually be supported by) all ADs, it feels like a much better home for such functionality than a domain-specific package like NNlib.
Contributor guide
No contributing guide indexed for this repository
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 by reading the linked NNlib.jl pull request and ChainRulesCore.jl issue, then trace the discussion back through the related history. The work is complete when the project has an agreed API for user code to detect differentiation across the automatic-differentiation systems it aims to support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend-api-design, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100