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-- | Operations on matrices (nested parallel vectors). All operations in this
-- module assume rectangular matrices.
module Feldspar.Matrix where
import qualified Prelude as P
import Types.Data.Ord
import Feldspar.Prelude
import Feldspar.Utils
import Feldspar.Core.Types
import Feldspar.Core
import Feldspar.Vector
type Matrix m n a = Par m :>> Par n :>> Data a
-- | Converts a matrix to a core array.
freezeMatrix :: (NaturalT m, NaturalT n, Storable a) =>
Matrix m n a -> Data (m :> n :> a)
freezeMatrix = freezeVector . map freezeVector
-- | Converts a core array to a matrix.
unfreezeMatrix :: (NaturalT m, NaturalT n, Storable a) =>
Data Int -> Data Int -> Data (m :> n :> a) -> Matrix m n a
unfreezeMatrix y x = map (unfreezeVector x) . (unfreezeVector y)
-- | Constructs a matrix.
matrix :: (NaturalT m, NaturalT n, Storable a, ListBased a ~ a) =>
[[a]] -> Matrix m n a
matrix as
| allEqual xs = unfreezeMatrix y x $ array as
| otherwise = error "matrix: Not rectangular"
where
y = value $ P.length as
xs = P.map P.length as
x = value $ P.head (xs P.++ [0])
-- | Transpose of a matrix
transpose :: Matrix m n a -> Matrix n m a
transpose a = Indexed (length $ head a) ixf
where
ixf y = Indexed (length a) (\x -> a ! x ! y)
-- | Matrix multiplication
mul :: (Primitive a, Num a) => Matrix m n a -> Matrix n p a -> Matrix m p a
mul a b = map (\aRow -> map (scalarProd aRow) b') a
where
b' = transpose b
-- | Concatenates the rows of a matrix.
flatten :: Matrix m n a -> VectorP (m :* n) a
flatten matr = Indexed (m*n) ixf
where
m = length matr
n = (m==0) ? (0, length (head matr))
ixf i = matr ! y ! x
where
y = i `div` m
x = i `mod` m
-- | The diagonal vector of a square matrix. It happens to work if the number of
-- rows is less than the number of columns, but not the other way around (this
-- would require some overhead).
diagonal :: Matrix n n a -> VectorP n a
diagonal m = map (uncurry (!)) $ zip m $ enumFromTo 0 (length m - 1)