JuliaGPU / JuliaGPU/KernelAbstractions.jl

@Const macro raises an error if using `import KernelAbstractions`

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Dominant language
Julia
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Forks
88
Avg merge
1d 11h
Merged PRs (30d)
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Description

As the title suggests, there is a behaviour discrepancy between import KernelAbstractions and using KernelAbstractions in relation to the @Const macro. The following minimum example demonstrates the issue.

import KernelAbstractions as KA

KA.@kernel function example(KA.@Const(x)) end
# OUTPUT:
# ERROR: LoadError: MethodError: no method matching var"@Const"(::LineNumberNode, ::Module, ::Symbol)
# The function `@Const` exists, but no method is defined for this combination of argument types.

using KernelAbstractions: @Const
KA.@kernel function example(@Const(x)) end
# OUTPUT:
# example (generic function with 4 methods)

A brief search indicates that the issue almost certainly originates from these lines which compare to the literal value Symbol("@Const").

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with src/macros.jl at the linked lines 21-26 and reproduce the minimal example in Julia using both import KernelAbstractions as KA and using KernelAbstractions: @Const. Trace how the @Const macro is identified in each form; done means the qualified KA.@Const example works without the reported MethodError.

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
Clearly specified
Newbie friendliness
55/100

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