lol-0.5.0.0: benchmarks/TensorBenches.hs
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE UndecidableInstances #-}
module TensorBenches (tensorBenches) where
import Apply.Cyc
import Benchmarks
import BenchParams
import Control.Applicative
import Control.Monad.Random
import Crypto.Lol.Prelude
import Crypto.Lol.Cyclotomic.Tensor
import Crypto.Lol.Types
import Crypto.Random.DRBG
tensorBenches :: IO Benchmark
tensorBenches = benchGroup "Tensor" [
benchGroup "unzipPow" $ [hideArgs bench_unzip testParam],
benchGroup "unzipDec" $ [hideArgs bench_unzip testParam],
benchGroup "unzipCRT" $ [hideArgs bench_unzip testParam],
benchGroup "zipWith (*)" $ [hideArgs bench_mul testParam],
benchGroup "crt" $ [hideArgs bench_crt testParam],
benchGroup "crtInv" $ [hideArgs bench_crtInv testParam],
benchGroup "l" $ [hideArgs bench_l testParam],
benchGroup "lInv" $ [hideArgs bench_lInv testParam],
benchGroup "*g Pow" $ [hideArgs bench_mulgPow testParam],
benchGroup "*g Dec" $ [hideArgs bench_mulgDec testParam],
benchGroup "*g CRT" $ [hideArgs bench_mulgCRT testParam],
benchGroup "divg Pow" $ [hideArgs bench_divgPow testParam],
benchGroup "divg Dec" $ [hideArgs bench_divgDec testParam],
benchGroup "divg CRT" $ [hideArgs bench_divgCRT testParam],
benchGroup "lift" $ [hideArgs bench_liftPow testParam],
benchGroup "error" $ [hideArgs (bench_errRounded 0.1) testParam'],
benchGroup "twacePow" $ [hideArgs bench_twacePow twoIdxParam],
benchGroup "twaceDec" $ [hideArgs bench_twacePow twoIdxParam], -- yes, twacePow is correct here. It's the same function!
benchGroup "twaceCRT" $ [hideArgs bench_twaceCRT twoIdxParam],
benchGroup "embedPow" $ [hideArgs bench_embedPow twoIdxParam],
benchGroup "embedDec" $ [hideArgs bench_embedDec twoIdxParam],
benchGroup "embedCRT" $ [hideArgs bench_embedCRT twoIdxParam]
]
bench_unzip :: (UnzipCtx t m r) => t m (r,r) -> Bench '(t,m,r)
bench_unzip = bench unzipT
-- no CRT conversion, just coefficient-wise multiplication
bench_mul :: (BasicCtx t m r) => t m r -> t m r -> Bench '(t,m,r)
bench_mul a = bench (zipWithT (*) a)
-- convert input from Pow basis to CRT basis
bench_crt :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_crt = bench (fromJust' "TensorBenches.bench_crt" crt)
-- convert input from CRT basis to Pow basis
bench_crtInv :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_crtInv = bench (fromJust' "TensorBenches.bench_crtInv" crtInv)
-- convert input from Dec basis to Pow basis
bench_l :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_l = bench l
-- convert input from Dec basis to Pow basis
bench_lInv :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_lInv = bench lInv
-- lift an element in the Pow basis
bench_liftPow :: forall t m r . (LiftCtx t m r) => t m r -> Bench '(t,m,r)
bench_liftPow = bench (fmapT lift)
-- multiply by g when input is in Pow basis
bench_mulgPow :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_mulgPow = bench mulGPow
-- multiply by g when input is in Dec basis
bench_mulgDec :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_mulgDec = bench mulGDec
-- multiply by g when input is in CRT basis
bench_mulgCRT :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_mulgCRT = bench (fromJust' "TensorBenches.bench_mulgCRT" mulGCRT)
-- divide by g when input is in Pow basis
bench_divgPow :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_divgPow x =
let y = mulGPow x
in bench divGPow y
-- divide by g when input is in Dec basis
bench_divgDec :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_divgDec x =
let y = mulGDec x
in bench divGDec y
-- divide by g when input is in CRT basis
bench_divgCRT :: (BasicCtx t m r) => t m r -> Bench '(t,m,r)
bench_divgCRT = bench (fromJust' "TensorBenches.bench_divgCRT" divGCRT)
-- generate a rounded error term
bench_errRounded :: forall t m r gen . (ErrorCtx t m r gen)
=> Double -> Bench '(t,m,r,gen)
bench_errRounded v = benchIO $ do
gen <- newGenIO
return $ evalRand
(fmapT (roundMult one) <$>
(tGaussianDec v :: Rand (CryptoRand gen) (t m Double)) :: Rand (CryptoRand gen) (t m (LiftOf r))) gen
bench_twacePow :: forall t m m' r . (TwoIdxCtx t m m' r)
=> t m' r -> Bench '(t,m,m',r)
bench_twacePow = bench (twacePowDec :: t m' r -> t m r)
bench_twaceCRT :: forall t m m' r . (TwoIdxCtx t m m' r)
=> t m' r -> Bench '(t,m,m',r)
bench_twaceCRT = bench (fromJust' "TensorBenches.bench_twaceCRT" twaceCRT :: t m' r -> t m r)
bench_embedPow :: forall t m m' r . (TwoIdxCtx t m m' r)
=> t m r -> Bench '(t,m,m',r)
bench_embedPow = bench (embedPow :: t m r -> t m' r)
bench_embedDec :: forall t m m' r . (TwoIdxCtx t m m' r)
=> t m r -> Bench '(t,m,m',r)
bench_embedDec = bench (embedDec :: t m r -> t m' r)
bench_embedCRT :: forall t m m' r . (TwoIdxCtx t m m' r)
=> t m r -> Bench '(t,m,m',r)
bench_embedCRT = bench (fromJust' "TensorBenches.bench_embedCRT" embedCRT :: t m r -> t m' r)