给出一个基于Vector的非常简单的矩阵定义:
import Numeric.AD
import qualified Data.Vector as V
newtype Mat a = Mat { unMat :: V.Vector a }
scale' f = Mat . V.map (*f) . unMat
add' a b = Mat $ V.zipWith (+) (unMat a) (unMat b)
sub' a b = Mat $ V.zipWith (-) (unMat a) (unMat b)
mul' a b = Mat $ V.zipWith (*) (unMat a) (unMat b)
pow' a e = Mat $ V.map (^e) (unMat a)
sumElems' :: Num a => Mat a -> a
sumElems' = V.sum . unMat
(出于演示目的......我正在使用hmatrix,但认为问题存在于某种程度上)
错误函数(eq3
):
eq1' :: Num a => [a] -> [Mat a] -> Mat a
eq1' as φs = foldl1 add' $ zipWith scale' as φs
eq3' :: Num a => Mat a -> [a] -> [Mat a] -> a
eq3' img as φs = negate $ sumElems' (errImg `pow'` (2::Int))
where errImg = img `sub'` (eq1' as φs)
为什么编译器无法在此推断出正确的类型?
diffTest :: forall a . (Fractional a, Ord a) => Mat a -> [Mat a] -> [a] -> [[a]]
diffTest m φs as0 = gradientDescent go as0
where go xs = eq3' m xs φs
确切的错误信息是:
src/Stuff.hs:59:37:
Could not deduce (a ~ Numeric.AD.Internal.Reverse.Reverse s a)
from the context (Fractional a, Ord a)
bound by the type signature for
diffTest :: (Fractional a, Ord a) =>
Mat a -> [Mat a] -> [a] -> [[a]]
at src/Stuff.hs:58:13-69
or from (reflection-1.5.1.2:Data.Reflection.Reifies
s Numeric.AD.Internal.Reverse.Tape)
bound by a type expected by the context:
reflection-1.5.1.2:Data.Reflection.Reifies
s Numeric.AD.Internal.Reverse.Tape =>
[Numeric.AD.Internal.Reverse.Reverse s a]
-> Numeric.AD.Internal.Reverse.Reverse s a
at src/Stuff.hs:59:21-42
‘a’ is a rigid type variable bound by
the type signature for
diffTest :: (Fractional a, Ord a) =>
Mat a -> [Mat a] -> [a] -> [[a]]
at src//Stuff.hs:58:13
Expected type: [Numeric.AD.Internal.Reverse.Reverse s a]
-> Numeric.AD.Internal.Reverse.Reverse s a
Actual type: [a] -> a
Relevant bindings include
go :: [a] -> a (bound at src/Stuff.hs:60:9)
as0 :: [a] (bound at src/Stuff.hs:59:15)
φs :: [Mat a] (bound at src/Stuff.hs:59:12)
m :: Mat a (bound at src/Stuff.hs:59:10)
diffTest :: Mat a -> [Mat a] -> [a] -> [[a]]
(bound at src/Stuff.hs:59:1)
In the first argument of ‘gradientDescent’, namely ‘go’
In the expression: gradientDescent go as0
答案 0 :(得分:7)
gradientDescent
中的ad
函数的类型为
gradientDescent :: (Traversable f, Fractional a, Ord a) =>
(forall s. Reifies s Tape => f (Reverse s a) -> Reverse s a) ->
f a -> [f a]
它的第一个参数需要f r -> r
类型的函数,其中r
是forall s. (Reverse s a)
。 go
的类型为[a] -> a
,其中a
是diffTest
签名中绑定的类型。这些a
是相同的,但Reverse s a
与a
不同。
Reverse
类型包含许多类型类的实例,可以让我们将a
转换为Reverse s a
或返回。最明显的是Fractional a => Fractional (Reverse s a)
,这样我们就可以a
将Reverse s a
转换为realToFrac
。{/ p>
为此,我们需要能够在a -> b
上映射函数Mat a
以获得Mat b
。最简单的方法是为Functor
派生Mat
个实例。
{-# LANGUAGE DeriveFunctor #-}
newtype Mat a = Mat { unMat :: V.Vector a }
deriving Functor
我们可以将m
和fs
转换为Fractional a' => Mat a'
的任何fmap realToFrac
。
diffTest m fs as0 = gradientDescent go as0
where go xs = eq3' (fmap realToFrac m) xs (fmap (fmap realToFrac) fs)
但隐藏在广告包中的方式更好。 Reverse s a
普遍适用于所有s
,但a
与a
的类型签名中绑定的diffTest
相同。a -> (forall s. Reverse s a)
。我们真的只需要一个函数Mode
。此函数来自Reverse s a
类auto
,auto
有一个实例。 Mode t => Scalar t -> t
有一个稍微奇怪的类型type Scalar (Reverse s a) = a
,但Reverse
。专为auto
auto :: (Reifies s Tape, Num a) => a -> Reverse s a
而设的类型为
Mat a
这样,我们就可以将Mat (Reverse s a)
转换为Rational
,而无需与{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE TypeFamilies #-}
diffTest :: forall a . (Fractional a, Ord a) => Mat a -> [Mat a] -> [a] -> [[a]]
diffTest m fs as0 = gradientDescent go as0
where
go :: forall t. (Scalar t ~ a, Mode t) => [t] -> t
go xs = eq3' (fmap auto m) xs (fmap (fmap auto) fs)
进行转换。
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