downhill-0.4.0.0: src/Downhill/BVar.hs
{-# LANGUAGE AllowAmbiguousTypes #-}
{-# LANGUAGE ConstraintKinds #-}
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE DerivingVia #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE PatternSynonyms #-}
{-# LANGUAGE PolyKinds #-}
{-# LANGUAGE RankNTypes #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE UndecidableInstances #-}
{-# LANGUAGE ViewPatterns #-}
module Downhill.BVar
( BVar (..),
var,
constant,
backprop,
-- * Pattern synonyms
pattern T2,
pattern T3,
)
where
import Data.AdditiveGroup (AdditiveGroup)
import Data.AffineSpace (AffineSpace ((.+^), (.-.)))
import qualified Data.AffineSpace as AffineSpace
import Data.VectorSpace
( AdditiveGroup (..),
InnerSpace ((<.>)),
VectorSpace (Scalar, (*^)),
)
import Downhill.Grad
( Dual (evalGrad),
HasGrad,
HasGradAffine,
HilbertSpace (coriesz, riesz),
MScalar,
Manifold (Grad, Tang),
)
import Downhill.Linear.BackGrad
( BackGrad (..),
realNode,
)
import qualified Downhill.Linear.Backprop as BP
import Downhill.Linear.Expr (BasicVector (..), Expr (ExprVar))
import Downhill.Linear.Lift (lift1_dense, lift2_dense)
import qualified Downhill.Linear.Prelude as Linear
import Prelude hiding (id, (.))
-- | Variable is a value paired with derivative.
data BVar r a = BVar
{ bvarValue :: a,
bvarGrad :: BackGrad r (Grad a)
}
instance (AdditiveGroup b, HasGrad b) => AdditiveGroup (BVar r b) where
zeroV = BVar zeroV zeroV
negateV (BVar y0 dy) = BVar (negateV y0) (negateV dy)
BVar y0 dy ^-^ BVar z0 dz = BVar (y0 ^-^ z0) (dy ^-^ dz)
BVar y0 dy ^+^ BVar z0 dz = BVar (y0 ^+^ z0) (dy ^+^ dz)
instance (Num b, HasGrad b, MScalar b ~ b) => Num (BVar r b) where
(BVar f0 df) + (BVar g0 dg) = BVar (f0 + g0) (df ^+^ dg)
(BVar f0 df) - (BVar g0 dg) = BVar (f0 - g0) (df ^-^ dg)
(BVar f0 df) * (BVar g0 dg) = BVar (f0 * g0) (f0 *^ dg ^+^ g0 *^ df)
negate (BVar f0 df) = BVar (negate f0) (negateV df)
abs (BVar f0 df) = BVar (abs f0) (signum f0 *^ df) -- TODO: ineffiency: multiplication by 1
signum (BVar f0 _) = BVar (signum f0) zeroV
fromInteger x = BVar (fromInteger x) zeroV
sqr :: Num a => a -> a
sqr x = x * x
rsqrt :: Floating a => a -> a
rsqrt x = recip (sqrt x)
instance (Fractional b, HasGrad b, MScalar b ~ b) => Fractional (BVar r b) where
fromRational x = BVar (fromRational x) zeroV
recip (BVar x dx) = BVar (recip x) (df *^ dx)
where
df = negate (recip (sqr x))
BVar x dx / BVar y dy = BVar (x / y) ((recip y *^ dx) ^-^ ((x / sqr y) *^ dy))
instance (Floating b, HasGrad b, MScalar b ~ b) => Floating (BVar r b) where
pi = BVar pi zeroV
exp (BVar x dx) = BVar (exp x) (exp x *^ dx)
log (BVar x dx) = BVar (log x) (recip x *^ dx)
sin (BVar x dx) = BVar (sin x) (cos x *^ dx)
cos (BVar x dx) = BVar (cos x) (negate (sin x) *^ dx)
asin (BVar x dx) = BVar (asin x) (rsqrt (1 - sqr x) *^ dx)
acos (BVar x dx) = BVar (acos x) (negate (rsqrt (1 - sqr x)) *^ dx)
atan (BVar x dx) = BVar (atan x) (recip (1 + sqr x) *^ dx)
sinh (BVar x dx) = BVar (sinh x) (cosh x *^ dx)
cosh (BVar x dx) = BVar (cosh x) (sinh x *^ dx)
asinh (BVar x dx) = BVar (asinh x) (rsqrt (1 + sqr x) *^ dx)
acosh (BVar x dx) = BVar (acosh x) (rsqrt (sqr x - 1) *^ dx)
atanh (BVar x dx) = BVar (atanh x) (recip (1 - sqr x) *^ dx)
instance
( VectorSpace v,
HasGrad v,
Tang v ~ v,
HasGrad (MScalar v),
Grad (Scalar v) ~ Scalar v
) =>
VectorSpace (BVar r v)
where
type Scalar (BVar r v) = BVar r (MScalar v)
BVar a da *^ BVar v dv = BVar (a *^ v) (lift2_dense bpA bpV da dv)
where
bpA :: Grad v -> MScalar v
bpA dz = evalGrad dz v
bpV :: Grad v -> Grad v
bpV dz = a *^ dz
instance (HasGrad p, HasGradAffine p) => AffineSpace (BVar r p) where
type Diff (BVar r p) = BVar r (Tang p)
BVar y0 dy .+^ BVar z0 dz = BVar (y0 .+^ z0) (dy ^+^ dz)
BVar y0 dy .-. BVar z0 dz = BVar (y0 .-. z0) (dy ^-^ dz)
-- maybe move all those equality constraints to Dual class?
instance
( HasGrad (Scalar v),
HasGrad v,
HasGrad dv,
Dual v dv,
Grad dv ~ v,
Grad v ~ dv,
Tang v ~ v,
Tang dv ~ dv,
Grad (Scalar dv) ~ Scalar dv
) =>
Dual (BVar r v) (BVar r dv)
where
evalGrad (BVar dv d_dv) (BVar v d_v) = BVar (evalGrad dv v) (lift2_dense (*^ v) (*^ dv) d_dv d_v)
instance
( HasGrad (MScalar p),
HasGrad (Tang p),
HasGrad (Grad p),
Grad (Grad p) ~ Tang p,
Tang (Grad p) ~ Grad p,
Tang (Tang p) ~ Tang p,
Grad (Tang p) ~ Grad p,
Grad (MScalar p) ~ MScalar p,
Scalar (Grad p) ~ Scalar (Tang p),
Manifold p
) =>
Manifold (BVar r p)
where
type Tang (BVar r p) = BVar r (Tang p)
type Grad (BVar r p) = BVar r (Grad p)
instance
( HilbertSpace v dv,
HasGrad (Scalar v),
HasGrad v,
HasGrad dv,
Grad dv ~ v,
Grad v ~ dv,
Tang v ~ v,
Tang dv ~ dv,
Grad (Scalar dv) ~ Scalar dv
) =>
HilbertSpace (BVar r v) (BVar r dv)
where
riesz (BVar v dv) = BVar (riesz v) (lift1_dense riesz dv)
coriesz (BVar v dv) = BVar (coriesz v) (lift1_dense coriesz dv)
instance
( VectorSpace v,
HasGrad v,
Tang v ~ v,
HilbertSpace (Tang v) (Grad v),
BasicVector (MScalar v),
Grad (MScalar v) ~ MScalar v,
InnerSpace v,
HasGrad (MScalar v)
) =>
InnerSpace (BVar r v)
where
BVar u du <.> BVar v dv = BVar (u <.> v) (lift2_dense bpU bpV du dv)
where
bpU :: MScalar v -> Grad v
bpU dz = dz *^ riesz v
bpV :: MScalar v -> Grad v
bpV dz = dz *^ riesz u
-- | A variable with derivative of zero.
constant :: forall r a. (BasicVector (Grad a), AdditiveGroup (Grad a)) => a -> BVar r a
constant x = BVar x zeroV
-- | A variable with identity derivative.
var :: a -> BVar (Grad a) a
var x = BVar x (realNode ExprVar)
-- | Reverse mode differentiation.
backprop :: forall r a. (HasGrad a, BasicVector r) => BVar r a -> Grad a -> r
backprop (BVar _y0 x) = BP.backprop x
splitPair :: (BasicVector (Grad a), BasicVector (Grad b)) => BVar r (a, b) -> (BVar r a, BVar r b)
splitPair (BVar (a, b) (Linear.T2 da db)) = (BVar a da, BVar b db)
pattern T2 :: forall r a b. (BasicVector (Grad a), BasicVector (Grad b)) => BVar r a -> BVar r b -> BVar r (a, b)
pattern T2 a b <-
(splitPair -> (a, b))
where
T2 (BVar a da) (BVar b db) = BVar (a, b) (Linear.T2 da db)
splitTriple :: (BasicVector (Grad a), BasicVector (Grad b), BasicVector (Grad c)) => BVar r (a, b, c) -> (BVar r a, BVar r b, BVar r c)
splitTriple (BVar (a, b, c) (Linear.T3 da db dc)) = (BVar a da, BVar b db, BVar c dc)
pattern T3 ::
forall r a b c.
(BasicVector (Grad a), BasicVector (Grad b), BasicVector (Grad c)) =>
BVar r a ->
BVar r b ->
BVar r c ->
BVar r (a, b, c)
pattern T3 a b c <-
(splitTriple -> (a, b, c))
where
T3 (BVar a da) (BVar b db) (BVar c dc) = BVar (a, b, c) (Linear.T3 da db dc)