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

Flux.trainable - Handling trivial return case #39

Open

dynamic-queries opened this issue Jun 14, 2022 · 0 comments

Labels

dynamic-queries commented Jun 14, 2022

Issue :
From the example for the FNO, collecting parameters throws an error as such.

Potential cause:
In https://github.com/SciML/OperatorLearning.jl/blob/master/src/FourierLayer.jl#L55-L56 and subsequently https://github.com/FluxML/Flux.jl/blob/master/src/utils.jl#L500-L502, there is trivial Bool return that FourierLayer.jl does not handle, therefore throwing an error.

dynamic-queries mentioned this issue

Closed

pzimbrod linked a pull request

that will close this issue

Closed

pzimbrod added the bug label

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