Support gradient over function with multiple inputs #679
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This is motivated by SciML/juliatorch#12. It is proof of concept implementation to see if folks here think this would be reasonable to include in ForwardDiff or if it would be better to use a separate package or simply put this in the juliatorch package.
The idea is to automatically pack and unpack inputs into a single array which works with the existing ForwardDiff.gradient API.