hasktorch-0.2.0.0: Functional differentiable programming in Haskell
Safe HaskellSafe-Inferred
LanguageHaskell2010

Torch.Autograd

Synopsis

Documentation

newtype IndependentTensor Source #

Note: to create an IndependentTensor use makeIndependent; | otherwise, Torch will complain the parameter does not require a gradient.

Constructors

IndependentTensor 

Fields

Instances

Instances details
Generic IndependentTensor Source # 
Instance details

Defined in Torch.Autograd

Associated Types

type Rep IndependentTensor :: Type -> Type Source #

Methods

from :: IndependentTensor -> Rep IndependentTensor x Source #

to :: Rep IndependentTensor x -> IndependentTensor Source #

Show IndependentTensor Source # 
Instance details

Defined in Torch.Autograd

Methods

showsPrec :: Int -> IndependentTensor -> ShowS Source #

show :: IndependentTensor -> String Source #

showList :: [IndependentTensor] -> ShowS Source #

Parameterized Parameter Source # 
Instance details

Defined in Torch.NN

Methods

flattenParameters :: Parameter -> [Parameter] Source #

_replaceParameters :: Parameter -> ParamStream Parameter Source #

type Rep IndependentTensor Source # 
Instance details

Defined in Torch.Autograd

type Rep IndependentTensor = D1 ('MetaData "IndependentTensor" "Torch.Autograd" "hasktorch-0.2.0.0-F6yFRaDiRF49lpq95SVuR8" 'True) (C1 ('MetaCons "IndependentTensor" 'PrefixI 'True) (S1 ('MetaSel ('Just "toDependent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Tensor)))

grad :: Tensor -> [IndependentTensor] -> [Tensor] Source #

requiresGrad :: Tensor -> Bool Source #

setRequiresGrad :: Bool -> Tensor -> Tensor Source #

makeIndependent :: Tensor -> IO IndependentTensor Source #

makeIndependentWithRequiresGrad :: Tensor -> Bool -> IO IndependentTensor Source #