New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

support for frules with keyword arguments #244

Open

oxinabox opened this issue Dec 7, 2023 · 1 comment · May be fixed by #266

Member

oxinabox commented Dec 7, 2023

I wrote an frule with keyword arguments
It doesn't look like diffractor is picking it up.

Member Author

oxinabox commented Dec 7, 2023

Workaround:

Instead of writing
frule((df, dx), ::typeof(f), x; kws...)
I had to write
frule((_, dkw, df, dx), ::typeof(Core.kwcall), kw, ::typeof(f), x)

oxinabox mentioned this issue

Fix ambig with configured frule created by non_differentiable rule JuliaDiff/ChainRulesCore.jl#651

Merged

oxinabox linked a pull request

that will close this issue

Support frules with keyword arguments #266

Open

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment