GRU

case class GRU(weightXh: Constant, weightHh: Constant, weightXr: Constant, weightXz: Constant, weightHr: Constant, weightHz: Constant, biasR: Constant, biasZ: Constant, biasH: Constant) extends StatefulModule[Variable, Variable, Option[Variable]]

Inputs of size (sequence length * batch * in dim) Outputs of size (sequence length * batch * hidden dim)

Companion:
object
trait Serializable
trait Product
trait Equals
trait GenericModule[(Variable, Option[Variable]), (Variable, Option[Variable])]
class Object
trait Matchable
class Any

Value members

Concrete methods

def forward[S : Sc](a: (Variable, Option[Variable])): (Variable, Option[Variable])
def initState: None.type
override def state: Seq[(Constant, PTag)]
Definition Classes

Inherited methods

def apply[S : Sc](a: (Variable, Option[Variable])): (Variable, Option[Variable])

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

Concrete fields

val hiddenSize: Long
val inputSize: Long