JuliaDiff / JuliaDiff/ChainRulesCore.jl
Extend scalar_rule to handle broadcast
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- Dominant language
- Julia
- Stars
- 267
- Forks
- 66
- PR merge metrics
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Description
As a follow up to https://github.com/FluxML/NNlib.jl/pull/257 and https://github.com/FluxML/NNlib.jl/pull/258,
I wish the @scalar_rule macro could be extended with an optional keyword argument so that it also defines
the broadcasted version of a rule, so something like
@scalar_rule tanh(x) 1 - Ω^2 broadcast=true
I would have attempted a PR, but I quickly realized that this above my very very little macro expertise :(
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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 reading the linked pull requests and the @scalar_rule macro implementation. Determine how an optional broadcast=true argument should define the broadcasted rule, and verify that the example @scalar_rule tanh(x) 1 - Ω^2 broadcast=true is accepted and produces the intended behavior.
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Assessment
- Tech stack
- julia
- Domain
- backend-api-design
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100