JuliaDiff / JuliaDiff/DiffResults.jl
impossible to differentiate over integer array
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- Dominant language
- Julia
- Stars
- 37
- Forks
- 9
- PR merge metrics
- No merged PRs in 30d
Description
l(xu) = sum(sqrt(i^2 + 1) for i in xu)
xu = Vector(1:6)
result = DiffResults.HessianResult(xu)
result = ForwardDiff.hessian!(result, l, xu) will give
InexactError: Int64(Int64, 22.11744686954993)
Problem will be solve if xu = Vector{Float64}(1:6)
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 reproducing the reported call with xu = Vector(1:6) and compare it with the Float64 version. Trace how DiffResults.HessianResult(xu) stores results and identify what behavior should be considered done: integer input should work without the reported InexactError, or the required input type should be made explicit.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100