我正在尝试在Haskell中使用automatic differentiation来解决非线性控制问题,但是在使其工作时遇到了一些问题。我基本上有一个cost
函数,应该针对初始状态对其进行优化。类型是:
data Reference a = Reference a deriving Functor
data Plant a = Plant a deriving Functor
optimize :: (RealFloat a) => Reference a -> Plant a -> [a] -> [[a]]
optimize ref plant initialInputs = gradientDescent (cost ref plant) initialInputs
cost :: (RealFloat a) => Reference a -> Plant a -> [a] -> a
cost = ...
这将导致以下错误消息:
Couldn't match expected type `Reference
(Numeric.AD.Internal.Reverse.Reverse s a)'
with actual type `t'
because type variable `s' would escape its scope
This (rigid, skolem) type variable is bound by
a type expected by the context:
Data.Reflection.Reifies s Numeric.AD.Internal.Reverse.Tape =>
[Numeric.AD.Internal.Reverse.Reverse s a]
-> Numeric.AD.Internal.Reverse.Reverse s a
at test.hs:13:5-50
Relevant bindings include
initialInputs :: [a] (bound at test.hs:12:20)
ref :: t (bound at test.hs:12:10)
optimize :: t -> t1 -> [a] -> [[a]] (bound at test.hs:12:1)
In the first argument of `cost', namely `ref'
In the first argument of `gradientDescent', namely
`(cost ref plant)'
我什至不确定我是否正确理解该错误。是
ref
和plant
的类型需要访问s
,它在gradientDescent
的第一个参数的范围之内?有可能使这项工作吗?在寻找解决方案时,我尝试将问题简化为最小示例,发现以下定义会产生类似的错误消息:
optimize f inputs = gradientDescent f inputs
这似乎很奇怪,因为
optimize = gradientDescent
不会产生任何错误。 最佳答案
cost ref plant
具有[a] -> a
类型,其中a
与a
签名中的optimize
相同
optimize :: (RealFloat a) => Reference a -> Plant a -> [a] -> [[a]]
^ ^
| ------------
------------------v v
optimize ref plant initialInputs = gradientDescent (cost ref plant) initialInputs
^ ^
----------------------- |
v v---------------
cost :: (RealFloat a) => Reference a -> Plant a -> [a] -> a
cost = ...
但是
gradientDescent
的类型是gradientDescent :: (Traversable f, Fractional a, Ord a) =>
(forall s. Reifies s Tape => f (Reverse s a) -> Reverse s a) ->
f a -> [f a]
gradientDescent
的第一个参数必须能够接受(对于任何s
)[Reverse s a]
并返回Reverse s a
,但是cost ref plant
只能接受[a]
并返回a
。由于
Reference
和Plant
都是Functor
,因此可以通过ref
到 plant
将Reference a
和Plant a
从Reference (Reverse s a)
和Plant (Reverse s a)
转换为fmap
和auto
。optimize :: (RealFloat a) => Reference a -> Plant a -> [a] -> [[a]]
optimize ref plant initialInputs = gradientDescent (cost (fmap auto ref) (fmap auto plant)) initialInputs
关于haskell - Numeric.AD-类型变量,转义其范围,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/32027302/