Maybe. The nice thing with Julia is that all of the ADs just target Julia AST, so you can mix and match them. I'm using ForwardDiff + ReverseDiff compiled tapes

Maybe. The nice thing with Julia is that all of the ADs just target Julia AST, so you can mix and match them. I'm using ForwardDiff + ReverseDiff compiled tapes with Zygote over it, because each have different optimizations that can be done to different parts of the code. ChainRules.jl is a great package that will allow this to pick up more steam. While I don't expect most users to go this deep into AD, if you actually want to use it in the backend of packages in a very deep and high performance way, there's nothing better than mixing the strengths of different approaches together.