MappedState

case class MappedState[A, B, C, D, M <: StatefulModule[A, B, C]](statefulModule: M & StatefulModule[A, B, C], map: C => D) extends StatefulModule2[A, B, C, D]
Companion:
object
trait Serializable
trait Product
trait Equals
trait GenericModule[(A, C), (B, D)]
class Object
trait Matchable
class Any

Value members

Concrete methods

def forward[S : Sc](x: (A, C)): (B, D)
def state: Seq[(Constant, PTag)]

Inherited methods

def apply[S : Sc](a: (A, C)): (B, D)

Alias of forward

Alias of forward

Inherited from:
GenericModule
final def gradients(loss: Variable, zeroGrad: Boolean): Seq[Option[STen]]

Computes the gradient of loss with respect to the parameters.

Computes the gradient of loss with respect to the parameters.

Inherited from:
GenericModule
final def learnableParameters: Long

Returns the total number of optimizable parameters.

Returns the total number of optimizable parameters.

Inherited from:
GenericModule
final def parameters: Seq[(Constant, PTag)]

Returns the state variables which need gradient computation.

Returns the state variables which need gradient computation.

Inherited from:
GenericModule
def productElementNames: Iterator[String]
Inherited from:
Product
def productIterator: Iterator[Any]
Inherited from:
Product
final def zeroGrad(): Unit
Inherited from:
GenericModule