Safe Haskell	Safe-Inferred
Language	Haskell2010

Torch.GraduallyTyped.NN.Dropout

Synopsis

newtype Dropout where
- Dropout :: Double -> Dropout

Documentation

newtype Dropout where Source #

Given a random generator, randomly zeroes some of the elements of the input tensor with probability p using samples from a Bernoulli distribution. Each channel will be zeroed out independently on every forward call.

Constructors

Dropout
Fields :: Double probability of an element to be zeroed -> Dropout

Instances

Instances details

Generic Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Associated Types type Rep Dropout :: Type -> Type Source # Methods from :: Dropout -> Rep Dropout x Source # to :: Rep Dropout x -> Dropout Source #
Show Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Methods showsPrec :: Int -> Dropout -> ShowS Source # show :: Dropout -> String Source # showList :: [Dropout] -> ShowS Source #
Eq Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Methods (==) :: Dropout -> Dropout -> Bool Source # (/=) :: Dropout -> Dropout -> Bool Source #
Ord Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Methods compare :: Dropout -> Dropout -> Ordering Source # (<) :: Dropout -> Dropout -> Bool Source # (<=) :: Dropout -> Dropout -> Bool Source # (>) :: Dropout -> Dropout -> Bool Source # (>=) :: Dropout -> Dropout -> Bool Source # max :: Dropout -> Dropout -> Dropout Source # min :: Dropout -> Dropout -> Dropout Source #
HasStateDict Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Methods fromStateDict :: (MonadIO m, MonadThrow m, MonadState StateDict m) => ModelSpec Dropout -> StateDictKey -> m Dropout Source # toStateDict :: (MonadThrow m, MonadState StateDict m) => StateDictKey -> Dropout -> m () Source #
HasInitialize Dropout generatorDevice Dropout generatorDevice Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Methods initialize :: MonadThrow m => ModelSpec Dropout -> Generator generatorDevice -> m (Dropout, Generator generatorDevice) Source #
(input ~ Tensor gradient layout device dataType shape, output ~ Tensor gradient layout (device <+> generatorDevice) dataType shape, generatorOutputDevice ~ (device <+> generatorDevice), SGetDevice device, SGetGeneratorDevice generatorDevice) => HasForward Dropout input generatorDevice output generatorOutputDevice Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout Methods forward :: MonadThrow m => Dropout -> input -> Generator generatorDevice -> m (output, Generator generatorOutputDevice) Source #
type Rep Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout type Rep Dropout = D1 ('MetaData "Dropout" "Torch.GraduallyTyped.NN.Dropout" "hasktorch-gradually-typed-0.2.0.0-1KV1aIPzzbp6JpSr37tC1K" 'True) (C1 ('MetaCons "Dropout" 'PrefixI 'False) (S1 ('MetaSel ('Nothing :: Maybe Symbol) 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Double)))
type ModelSpec Dropout Source #
Instance details Defined in Torch.GraduallyTyped.NN.Dropout type ModelSpec Dropout = Dropout