grenade-0.1.0: src/Grenade/Layers/Merge.hs
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE RankNTypes #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE StandaloneDeriving #-}
{-|
Module : Grenade.Core.Network
Description : Merging layer for parallel network composition
Copyright : (c) Huw Campbell, 2016-2017
License : BSD2
Stability : experimental
-}
module Grenade.Layers.Merge (
Merge (..)
) where
import Data.Serialize
import Data.Singletons
import Grenade.Core
-- | A Merging layer.
--
-- Similar to Concat layer, except sums the activations instead of creating a larger
-- shape.
data Merge :: * -> * -> * where
Merge :: x -> y -> Merge x y
instance (Show x, Show y) => Show (Merge x y) where
show (Merge x y) = "Merge\n" ++ show x ++ "\n" ++ show y
-- | Run two layers in parallel, combining their outputs.
-- This just kind of "smooshes" the weights together.
instance (UpdateLayer x, UpdateLayer y) => UpdateLayer (Merge x y) where
type Gradient (Merge x y) = (Gradient x, Gradient y)
runUpdate lr (Merge x y) (x', y') = Merge (runUpdate lr x x') (runUpdate lr y y')
createRandom = Merge <$> createRandom <*> createRandom
-- | Combine the outputs and the inputs, summing the output shape
instance (SingI i, SingI o, Layer x i o, Layer y i o) => Layer (Merge x y) i o where
type Tape (Merge x y) i o = (Tape x i o, Tape y i o)
runForwards (Merge x y) input =
let (xT, xOut) = runForwards x input
(yT, yOut) = runForwards y input
in ((xT, yT), xOut + yOut)
runBackwards (Merge x y) (xTape, yTape) o =
let (x', xB) = runBackwards x xTape o
(y', yB) = runBackwards y yTape o
in ((x', y'), xB + yB)
instance (Serialize a, Serialize b) => Serialize (Merge a b) where
put (Merge a b) = put a *> put b
get = Merge <$> get <*> get