Define `typemin` for tracked reals.

In NNlib.maxpool we encounter typemin to initialize the prospective maximum value.
typemin is not implemented for ReverseDiff.TrackedReal
This definition seems to work (it allows for taking derivatives):

Base.typemin(tr::Type{<:T}) where{V, D, O, T<:ReverseDiff.TrackedReal{V, D, O}} = T(typemin(V))

but I do not really know if that is sensible.

MWE for failure:

import NNlib: maxpool
import ReverseDiff as RD
x = reshape(Float32[ 1 2; 3 4 ], (2,2,1,1))
RD.gradient(_x -> only(maxpool(_x,(2,2))), x)[:,:,1,1] # == [0 0; 0 1]

Start by reproducing the NNlib.maxpool MWE with ReverseDiff.TrackedReal, then inspect how Base.typemin is handled for tracked values. Done means maxpool differentiates successfully with a sensible typemin definition and the behavior is covered by an appropriate test.