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ShapeIndexedGraph.hs
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70 lines (58 loc) · 2.42 KB
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{-# LANGUAGE GADTs, DataKinds, KindSignatures #-}
-- | Shape-Indexed Graphs with Adaptive Rewriting
--
-- Extends Hoopl's shape-indexed control flow graphs with adaptive
-- rewriting strategies inspired by neural architecture search and
-- reinforcement learning.
module ShapeIndexedGraph where
-- | Open/Closed shape indices (from Hoopl)
data O -- Open: single entry/exit point
data C -- Closed: multiple labeled entry/exit points
-- | Simple instruction nodes
data Insn (e :: *) (x :: *) where
Label :: String -> Insn C O
Assign :: String -> Int -> Insn O O
Branch :: String -> Insn O C
-- | Block structure preserving shape invariants
data Block (e :: *) (x :: *) where
BFirst :: Insn C O -> Block C O
BMiddle :: Insn O O -> Block O O
BLast :: Insn O C -> Block O C
BCat :: Block O O -> Block O O -> Block O O
BClosed :: Block C O -> Block O C -> Block C C
-- | Rewrite strategy with confidence scores (RL-inspired)
data RewriteStrategy = RewriteStrategy
{ strategyName :: String
, confidence :: Double -- learned confidence in [0,1]
, priority :: Int -- exploration priority
}
-- | Adaptive rewrite: select strategy based on learned policy
data AdaptiveRewrite = AdaptiveRewrite
{ strategies :: [RewriteStrategy]
, temperature :: Double -- softmax temperature for exploration
}
-- | Select rewrite strategy using softmax (exploration vs exploitation)
selectStrategy :: AdaptiveRewrite -> IO RewriteStrategy
selectStrategy (AdaptiveRewrite strats temp) =
let scores = map (\s -> confidence s / temp) strats
total = sum $ map exp scores
probs = map (\s -> exp s / total) scores
in return $ strats !! 0 -- simplified: would sample from distribution
-- | Example: constant folding with learned confidence
constantFoldStrategy :: RewriteStrategy
constantFoldStrategy = RewriteStrategy "ConstFold" 0.95 1
-- | Example: dead code elimination with learned confidence
deadCodeStrategy :: RewriteStrategy
deadCodeStrategy = RewriteStrategy "DeadCode" 0.87 2
-- | Adaptive rewriter combining multiple strategies
adaptiveRewriter :: AdaptiveRewrite
adaptiveRewriter = AdaptiveRewrite
[constantFoldStrategy, deadCodeStrategy]
1.0 -- temperature
-- | Demonstration
demo :: IO ()
demo = do
putStrLn "=== Shape-Indexed Adaptive Rewriting ==="
strategy <- selectStrategy adaptiveRewriter
putStrLn $ "Selected strategy: " ++ strategyName strategy
putStrLn $ "Confidence: " ++ show (confidence strategy)