JuliaGaussianProcesses / JuliaGaussianProcesses/KernelFunctions.jl
Known AD Failures
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help wanted
- Dominant language
- Julia
- Stars
- 275
- Forks
- 41
- PR merge metrics
- No merged PRs in 30d
Description
Here is a list of the failures in the tests made in #114 I observed with the different ADs : ForwardDiff.jl, Zygote.jl and ReverseDiff.jl :
- FBMKernel : ForwardDiff/Zygote
- GaborKernel : Zygote (ForwardDiff+ReverseDiff randomly)
- MaternKernel : Zygote
- SpectralMixture : All
- PeriodicKernel : Zygote (need to define an adjoint) #531, ForwardDiff and ReverseDiff fail randomly (edge cases might need to be looked at) #389
- Wiener : All
- GammaExponentialKernel : Zygote
- NeuralNetworkKernel : Zygote
- PiecewisePolynomialKernel : All
- PolynomialKernel : All
- GammaRationalQuadratic : All
- KernelProduct : Zygote
- KernelSum : Zygote
- FunctionTransform : Zygote
- ChainTransform : Zygote #415
This is a good starting point to try to find solutions
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 with the tests from issue #114 and reproduce the unchecked failures across ForwardDiff.jl, Zygote.jl, and ReverseDiff.jl. Review the referenced issues #531, #389, and #415 for existing context on PeriodicKernel and ChainTransform. Done means the listed automatic-differentiation failures are resolved and the corresponding tests pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100