JuliaGPU / JuliaGPU/KernelAbstractions.jl
More information on "Reason: unsupported dynamic function invocation"
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enhancement
upstream
- Dominant language
- Julia
- Stars
- 523
- Forks
- 88
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 25
Description
Often if a method is missing we see an error message of the form:
Reason: unsupported dynamic function invocation (call to boundary_state!)
Would it be possible to get an error message similar to a MethodError (with the signature and close matches)?
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First steps
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Research direction
Start by locating the code that emits the exact “unsupported dynamic function invocation” message, then compare its diagnostics with Julia’s MethodError formatting. Determine how the signature and close matches should be presented; done means missing dynamic calls report that additional information consistently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100