JuliaDiff / JuliaDiff/FiniteDiff.jl
scalar -> vector and vector -> scalar control flow
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- Dominant language
- Julia
- Stars
- 304
- Forks
- 42
- Avg merge
- 24m
- Merged PRs (30d)
- 2
Description
Currently derivatives of functions with scalar inputs and vector outputs are called gradients, and the control flow is mixed in with
vector -> scalar functions.
In my opinion, this is confusing and error-prone.
Additionally, for the former an in-place f! can make sense while for the latter it does not.
Contributor guide
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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 reviewing the existing derivative APIs for scalar-to-vector and vector-to-scalar functions. Determine how their control flow is currently shared and whether in-place variants are exposed. Done means the two cases have a clear, agreed separation and the relevant API behavior is covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100