JuliaDiff / JuliaDiff/DifferentiationInterface.jl
Adding TaylorDiff.jl
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backend
- Dominant language
- Julia
- Stars
- 313
- Forks
- 35
- PR merge metrics
- No merged PRs in 30d
Description
TaylorDiff.jl is a package to compute higher-order directional derivative with Taylor mode efficiently. I am interested in integrating it intuo DifferentiationInterface.jl, could you briefly describe where I should look into?
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 by reading the TaylorDiff.jl package and the DifferentiationInterface.jl repository to understand how automatic-differentiation backends are integrated. Identify the relevant integration entry points, then confirm the expected interface and tests before defining completion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend-api-design
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100