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The new
Flux.jl
architecture (to be made permanent inv0.14
) requires:Flux.@functor
macroNumber
s,Function
s, etc) then they should be specified withFlux.trainable()
or as an extra argument toFlux.@functor
.Flux.trainable()
now must return aNamedTuple
, not just an array orTuple
.RobustNeuralNetworks.jl
has been updated to meet these new requirements, and I've added some tests to check them too.