syntactic-3.0: examples/NanoFeldspar.hs
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE UndecidableInstances #-}
{-# OPTIONS_GHC -fno-warn-missing-methods #-}
-- | A minimal Feldspar core language implementation. The intention of this module is to demonstrate
-- how to quickly make a language prototype using Syntactic.
module NanoFeldspar where
import Prelude hiding (max, min, not, (==), length, map, sum, zip, zipWith)
import qualified Prelude
import Data.Typeable
import Language.Syntactic hiding (fold, printExpr, showAST, drawAST, writeHtmlAST)
import qualified Language.Syntactic as Syntactic
import Language.Syntactic.Functional
import Language.Syntactic.Functional.Sharing
import Language.Syntactic.Functional.Tuple
import Language.Syntactic.Sugar.BindingT ()
import Language.Syntactic.Sugar.TupleT ()
--------------------------------------------------------------------------------
-- * Types
--------------------------------------------------------------------------------
-- | Convenient class alias
class (Typeable a, Show a, Eq a, Ord a) => Type a
instance (Typeable a, Show a, Eq a, Ord a) => Type a
type Length = Int
type Index = Int
--------------------------------------------------------------------------------
-- * Abstract syntax
--------------------------------------------------------------------------------
data Arithmetic sig
where
Add :: (Type a, Num a) => Arithmetic (a :-> a :-> Full a)
Sub :: (Type a, Num a) => Arithmetic (a :-> a :-> Full a)
Mul :: (Type a, Num a) => Arithmetic (a :-> a :-> Full a)
instance Symbol Arithmetic
where
symSig Add = signature
symSig Sub = signature
symSig Mul = signature
instance Render Arithmetic
where
renderSym Add = "(+)"
renderSym Sub = "(-)"
renderSym Mul = "(*)"
renderArgs = renderArgsSmart
interpretationInstances ''Arithmetic
instance Eval Arithmetic
where
evalSym Add = (+)
evalSym Sub = (-)
evalSym Mul = (*)
instance EvalEnv Arithmetic env
data Parallel sig
where
Parallel :: Type a => Parallel (Length :-> (Index -> a) :-> Full [a])
instance Symbol Parallel
where
symSig Parallel = signature
instance Render Parallel
where
renderSym Parallel = "parallel"
interpretationInstances ''Parallel
instance Eval Parallel
where
evalSym Parallel = \len ixf -> Prelude.map ixf [0 .. len-1]
instance EvalEnv Parallel env
data ForLoop sig
where
ForLoop :: Type st => ForLoop (Length :-> st :-> (Index -> st -> st) :-> Full st)
instance Symbol ForLoop
where
symSig ForLoop = signature
instance Render ForLoop
where
renderSym ForLoop = "forLoop"
interpretationInstances ''ForLoop
instance Eval ForLoop
where
evalSym ForLoop = \len init body -> foldl (flip body) init [0 .. len-1]
instance EvalEnv ForLoop env
type FeldDomain = Typed
( BindingT
:+: Let
:+: Tuple
:+: Arithmetic
:+: Parallel
:+: ForLoop
:+: Construct
)
-- `Construct` can be used to create arbitrary symbols from a name and an
-- evaluation function. We could have used `Construct` for all symbols, but
-- the problem with `Construct` is that it does not know about the arity or
-- type of the construct it represents, so it's easy to make mistakes, e.g.
-- when transforming expressions with `Construct` symbols.
newtype Data a = Data { unData :: ASTF FeldDomain a }
-- | Declaring 'Data' as syntactic sugar
instance Type a => Syntactic (Data a)
where
type Domain (Data a) = FeldDomain
type Internal (Data a) = a
desugar = unData
sugar = Data
-- | Specialization of the 'Syntactic' class for the Feldspar domain
class (Syntactic a, Domain a ~ FeldDomain, Type (Internal a)) => Syntax a
instance (Syntactic a, Domain a ~ FeldDomain, Type (Internal a)) => Syntax a
instance Type a => Show (Data a)
where
show = showExpr
--------------------------------------------------------------------------------
-- * "Backends"
--------------------------------------------------------------------------------
cmInterface :: CodeMotionInterface FeldDomain
cmInterface = defaultInterfaceT sharable (const True)
where
sharable :: ASTF FeldDomain a -> ASTF FeldDomain b -> Bool
sharable (Sym _) _ = False
-- Simple expressions not shared
sharable (lam :$ _) _
| Just _ <- prLam lam = False
-- Lambdas not shared
sharable _ (lam :$ _)
| Just _ <- prLam lam = False
-- Don't place let bindings over lambdas. This ensures that function
-- arguments of higher-order constructs such as `Parallel` are always
-- lambdas.
sharable (sel :$ _) _
| Just Sel1 <- prj sel = False
| Just Sel2 <- prj sel = False
| Just Sel3 <- prj sel = False
| Just Sel4 <- prj sel = False
-- Tuple selection not shared
sharable (arrl :$ _ ) _
| Just (Construct "arrLen" _) <- prj arrl = False
-- Array length not shared
sharable (gix :$ _ :$ _) _
| Just (Construct "arrIx" _) <- prj gix = False
-- Array indexing not shared
sharable _ _ = True
-- | Show the expression
showExpr :: (Syntactic a, Domain a ~ FeldDomain) => a -> String
showExpr = render . codeMotion cmInterface . desugar
-- | Print the expression
printExpr :: (Syntactic a, Domain a ~ FeldDomain) => a -> IO ()
printExpr = putStrLn . showExpr
-- | Show the syntax tree using unicode art
showAST :: (Syntactic a, Domain a ~ FeldDomain) => a -> String
showAST = Syntactic.showAST . codeMotion cmInterface . desugar
-- | Draw the syntax tree on the terminal using unicode art
drawAST :: (Syntactic a, Domain a ~ FeldDomain) => a -> IO ()
drawAST = putStrLn . showAST
-- | Write the syntax tree to an HTML file with foldable nodes
writeHtmlAST :: (Syntactic a, Domain a ~ FeldDomain) => a -> IO ()
writeHtmlAST =
Syntactic.writeHtmlAST "tree.html" . codeMotion cmInterface . desugar
-- | Evaluate an expression
eval :: (Syntactic a, Domain a ~ FeldDomain) => a -> Internal a
eval = evalClosed . desugar
--------------------------------------------------------------------------------
-- * Front end
--------------------------------------------------------------------------------
-- | Literal
value :: Syntax a => Internal a -> a
value a = sugar $ injT $ Construct (show a) a
false :: Data Bool
false = value False
true :: Data Bool
true = value True
-- | Force computation
force :: Syntax a => a -> a
force = resugar
instance (Type a, Num a) => Num (Data a)
where
fromInteger = value . fromInteger
(+) = sugarSymT Add
(-) = sugarSymT Sub
(*) = sugarSymT Mul
-- | Explicit sharing
share :: (Syntax a, Syntax b) => a -> (a -> b) -> b
share = sugarSymT Let
-- | Parallel array
parallel :: Type a => Data Length -> (Data Index -> Data a) -> Data [a]
parallel = sugarSymT Parallel
-- | For loop
forLoop :: Syntax st => Data Length -> st -> (Data Index -> st -> st) -> st
forLoop = sugarSymT ForLoop
-- | Conditional expression
(?) :: forall a . Syntax a => Data Bool -> (a,a) -> a
c ? (t,f) = sugarSymT sym c t f
where
sym :: Construct (Bool :-> Internal a :-> Internal a :-> Full (Internal a))
sym = Construct "cond" (\c t f -> if c then t else f)
-- | Get the length of an array
arrLen :: Type a => Data [a] -> Data Length
arrLen = sugarSymT $ Construct "arrLen" Prelude.length
-- | Index into an array
arrIx :: Type a => Data [a] -> Data Index -> Data a
arrIx = sugarSymT $ Construct "arrIx" eval
where
eval as i
| i >= len || i < 0 = error "arrIx: index out of bounds"
| otherwise = as !! i
where
len = Prelude.length as
not :: Data Bool -> Data Bool
not = sugarSymT $ Construct "not" Prelude.not
(==) :: Type a => Data a -> Data a -> Data Bool
(==) = sugarSymT $ Construct "(==)" (Prelude.==)
max :: Type a => Data a -> Data a -> Data a
max = sugarSymT $ Construct "max" Prelude.max
min :: Type a => Data a -> Data a -> Data a
min = sugarSymT $ Construct "min" Prelude.min
--------------------------------------------------------------------------------
-- * Vector library
--------------------------------------------------------------------------------
data Vector a
where
Indexed :: Data Length -> (Data Index -> a) -> Vector a
instance Syntax a => Syntactic (Vector a)
where
type Domain (Vector a) = FeldDomain
type Internal (Vector a) = [Internal a]
desugar = desugar . freezeVector . map resugar
sugar = map resugar . thawVector . sugar
length :: Vector a -> Data Length
length (Indexed len _) = len
indexed :: Data Length -> (Data Index -> a) -> Vector a
indexed = Indexed
index :: Vector a -> Data Index -> a
index (Indexed _ ixf) = ixf
(!) :: Vector a -> Data Index -> a
Indexed _ ixf ! i = ixf i
infixl 9 !
freezeVector :: Type a => Vector (Data a) -> Data [a]
freezeVector vec = parallel (length vec) (index vec)
thawVector :: Type a => Data [a] -> Vector (Data a)
thawVector arr = Indexed (arrLen arr) (arrIx arr)
zip :: Vector a -> Vector b -> Vector (a,b)
zip a b = indexed (length a `min` length b) (\i -> (index a i, index b i))
unzip :: Vector (a,b) -> (Vector a, Vector b)
unzip ab = (indexed len (fst . index ab), indexed len (snd . index ab))
where
len = length ab
permute :: (Data Length -> Data Index -> Data Index) -> (Vector a -> Vector a)
permute perm vec = indexed len (index vec . perm len)
where
len = length vec
reverse :: Vector a -> Vector a
reverse = permute $ \len i -> len-i-1
(...) :: Data Index -> Data Index -> Vector (Data Index)
l ... h = indexed (h-l+1) (+l)
map :: (a -> b) -> Vector a -> Vector b
map f (Indexed len ixf) = Indexed len (f . ixf)
zipWith :: (a -> b -> c) -> Vector a -> Vector b -> Vector c
zipWith f a b = map (uncurry f) $ zip a b
fold :: Syntax b => (a -> b -> b) -> b -> Vector a -> b
fold f b (Indexed len ixf) = forLoop len b (\i st -> f (ixf i) st)
fold1 :: Syntax a => (a -> a -> a) -> Vector a -> a
fold1 f (Indexed len ixf) = forLoop len (ixf 0) (\i st -> f (ixf i) st)
sum :: (Num a, Syntax a) => Vector a -> a
sum = fold (+) 0
type Matrix a = Vector (Vector (Data a))
-- | Transpose of a matrix. Assumes that the number of rows is > 0.
transpose :: Type a => Matrix a -> Matrix a
transpose a = indexed (length (a!0)) $ \k -> indexed (length a) $ \l -> a ! l ! k
--------------------------------------------------------------------------------
-- * Examples
--------------------------------------------------------------------------------
-- | Fibonacci function
fib :: Data Int -> Data Int
fib n = fst $ forLoop n (0,1) $ \_ (a,b) -> (b,a+b)
-- | The span of a vector (difference between greatest and smallest element)
spanVec :: Vector (Data Int) -> Data Int
spanVec vec = hi-lo
where
(lo,hi) = fold (\a (l,h) -> (min a l, max a h)) (vec!0,vec!0) vec
-- This demonstrates how tuples interplay with sharing. Tuples are essentially
-- useless without sharing. This function would get two identical for loops if
-- it wasn't for sharing.
-- | Scalar product
scProd :: Vector (Data Float) -> Vector (Data Float) -> Data Float
scProd a b = sum (zipWith (*) a b)
forEach = flip map
-- | Matrix multiplication
matMul :: Matrix Float -> Matrix Float -> Matrix Float
matMul a b = forEach a $ \a' ->
forEach (transpose b) $ \b' ->
scProd a' b'