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Lux.ActivationFunction
The updated docs have used ActivationFunction in https://diffeqflux.sciml.ai/dev/examples/neural_ode/ (and possibly other places). Note that the semantics of ActivationFunction is different from the intended use case -- See http://lux.csail.mit.edu/stable/api/layers/#Lux.WrappedFunction vs http://lux.csail.mit.edu/stable/api/layers/#Lux.ActivationFunction (the intention of having this layer was to allow a very rudimentary implementation of layer fusion, which I might still implement later on)
ActivationFunction
Additionally, this should not be done, since http://lux.csail.mit.edu/stable/api/layers/#Lux.Chain will automatically do it for the user (and IMO makes code less clunky)
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Should we switch to WrappedFunction in the docs then?
WrappedFunction
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No no. Just remove any wrapper, Chain will do it on its own.
Oh, yeah it returns it as a WrappedFunction by default
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The updated docs have used
ActivationFunction
in https://diffeqflux.sciml.ai/dev/examples/neural_ode/ (and possibly other places). Note that the semantics of ActivationFunction is different from the intended use case -- See http://lux.csail.mit.edu/stable/api/layers/#Lux.WrappedFunction vs http://lux.csail.mit.edu/stable/api/layers/#Lux.ActivationFunction (the intention of having this layer was to allow a very rudimentary implementation of layer fusion, which I might still implement later on)Additionally, this should not be done, since http://lux.csail.mit.edu/stable/api/layers/#Lux.Chain will automatically do it for the user (and IMO makes code less clunky)
The text was updated successfully, but these errors were encountered: