JuliaGPU / JuliaGPU/KernelAbstractions.jl
Implement `KernelAbstractions.get_backend(::PyArray)`
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- Dominant language
- Julia
- Stars
- 523
- Forks
- 88
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 25
Description
Our library will be called from Python by some users via PythonCall.jl, and this override is needed to ensure they can plug-and-play numpy arrays in the same framework. Such an override can be added to this package using a PythonCall extension.
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
Locate the existing get_backend definitions and the package's extension setup first. Then inspect how a PythonCall PyArray can be handled and verify that NumPy arrays use the expected backend through the extension.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, numpy
- Domain
- backend-api-design
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100