simplest prod(xs; dims) gradient

Will not treat zeros correctly, see FluxML/Flux.jl#524

src/lib/array.jl

@@ -300,15 +300,13 @@ Base.sum(f::Union{Function,Type},xs::TrackedArray) = sum(f.(xs))
 @grad sum(xs; dims = :) = sum(data(xs), dims = dims),
   Δ -> (zero(xs) .+ Δ, )
 
-Base.prod(xs::TrackedArray, dim) = track(prod, xs, dim)
-Base.prod(xs::TrackedArray) = track(prod, xs)
+Base.prod(xs::TrackedArray; dims=:) = track(prod, xs; dims=dims)
 Base.prod(f::Union{Function, Type}, xs::TrackedArray) = prod(f.(xs))
 
-@grad prod(xs) = prod(data(xs)), Δ -> (prod(xs) ./ xs .* Δ,)
-@grad prod(xs, dim) = prod(data(xs), dims = dim),
-  Δ -> (nobacksies(:sum,
-          reshape(.*(circshift.([reshape(data(xs), length(xs))], 1:length(xs)-1)...), size(xs)) .* Δ),
-        nothing)
+@grad function prod(xs; dims=:)
+  p = prod(data(xs); dims=dims)
+  p, Δ -> (p ./ xs .* Δ,)
+end
 
 Base.findfirst(xs::TrackedArray, args...) = findfirst(xs.data, args...)