JuliaDiff / JuliaDiff/DifferentiationInterface.jl
Split preparation methods into 4
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- Dominant language
- Julia
- Stars
- 313
- Forks
- 35
- PR merge metrics
- No merged PRs in 30d
Description
Instead of having prepare_hessian, we would have:
prepare_hessianprepare_hessian!prepare_value_gradient_and_hessianprepare_value_gradient_and_hessian!
This is necessary for:
- Reactant integration #265 #918
- Sparse Hessians with HyperHessians https://github.com/KristofferC/HyperHessians.jl/issues/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
Search the repository for prepare_hessian and its callers to map the current preparation API and affected integrations. Review the Reactant integration references in #265 and #918 and the HyperHessians issue #60. Done means the four listed preparation methods are consistently exposed and the referenced use cases are supported.
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
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100