lamp-core/lamp.nn/Sequential

Sequential

case class Sequential[A, M <: GenericModule[A, A]](members: M*) extends GenericModule[A, A]
Companion:
object
trait Serializable
trait Product
trait Equals
trait GenericModule[A, A]
class Object
trait Matchable
class Any

Value members

Concrete methods

def forward[S : Sc](x: A): A
override def state: Seq[(Constant, PTag)]
Definition Classes

Inherited methods

def apply[S : Sc](a: A): A

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