Hi,
I need the Numeric.FAD library, albeit still being completely puzzled by existential types.
This is the code:
error_diffs :: [Double] -> NetworkState [(Int, Int, Double)]
error_diffs desired_outputs = do diff_error <- (diff_op $ error' $ map FAD.lift desired_outputs)::(NetworkState ([FAD.Dual tag Double] -> FAD.Dual tag Double))
weights <- link_weights
let diffs = FAD.grad (diff_error::([FAD.Dual tag a] -> FAD.Dual tag b)) weights
links <- link_list
return $ zipWith (\link diff ->
(linkFrom link, linkTo link, diff)
) links diffs
error' runs in a Reader monad, ran by diff_op, which in turn generates an anonymous function to take the current NetworkState and the differential inputs from FAD.grad and stuffs them into the Reader.
Haskell confuses me with the following:
Inferred type is less polymorphic than expected
Quantified type variable `tag' is mentioned in the environment:
diff_error :: [FAD.Dual tag Double] -> FAD.Dual tag Double
(bound at Operations.hs:100:33)
In the first argument of `FAD.grad', namely
`(diff_error :: [FAD.Dual tag a] -> FAD.Dual tag b)'
In the expression:
FAD.grad (diff_error :: [FAD.Dual tag a] -> FAD.Dual tag b) weights
In the definition of `diffs':
diffs = FAD.grad
(diff_error :: [FAD.Dual tag a] -> FAD.Dual tag b) weights