lamp.nn.Seq5
See theSeq5 companion object
case class Seq5[T1, T2, T3, T4, T5, T6, M1 <: GenericModule[T1, T2], M2 <: GenericModule[T2, T3], M3 <: GenericModule[T3, T4], M4 <: GenericModule[T4, T5], M5 <: GenericModule[T5, T6]](m1: M1 & GenericModule[T1, T2], m2: M2 & GenericModule[T2, T3], m3: M3 & GenericModule[T3, T4], m4: M4 & GenericModule[T4, T5], m5: M5 & GenericModule[T5, T6]) extends GenericModule[T1, T6]
Attributes
- Companion
- object
- Graph
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- Supertypes
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trait Serializabletrait Producttrait Equalsclass Objecttrait Matchableclass AnyShow all
Members list
Value members
Concrete methods
The implementation of the function.
The implementation of the function.
In addition of x
it can also use all the `state to compute its value.
Attributes
List of optimizable, or non-optimizable, but stateful parameters
List of optimizable, or non-optimizable, but stateful parameters
Stateful means that the state is carried over the repeated forward calls.
Attributes
- Definition Classes
Inherited methods
Alias of forward
Computes the gradient of loss with respect to the parameters.
Computes the gradient of loss with respect to the parameters.
Attributes
- Inherited from:
- GenericModule
Returns the total number of optimizable parameters.
Returns the state variables which need gradient computation.
Returns the state variables which need gradient computation.
Attributes
- Inherited from:
- GenericModule
Attributes
- Inherited from:
- Product
Attributes
- Inherited from:
- Product
Attributes
- Inherited from:
- GenericModule
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