case class Seq4[T1, T2, T3, T4, T5, M1 <: GenericModule[T1, T2], M2 <: GenericModule[T2, T3], M3 <: GenericModule[T3, T4], M4 <: GenericModule[T4, T5]](m1: M1 with GenericModule[T1, T2], m2: M2 with GenericModule[T2, T3], m3: M3 with GenericModule[T3, T4], m4: M4 with GenericModule[T4, T5]) extends GenericModule[T1, T5] with Product with Serializable
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Instance Constructors
- new Seq4(m1: M1 with GenericModule[T1, T2], m2: M2 with GenericModule[T2, T3], m3: M3 with GenericModule[T3, T4], m4: M4 with GenericModule[T4, T5])
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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def
apply[S](a: T1)(implicit arg0: Sc[S]): T5
Alias of forward
Alias of forward
- Definition Classes
- GenericModule
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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def
clone(): AnyRef
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- protected[lang]
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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- protected[lang]
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def
forward[S](x: T1)(implicit arg0: Sc[S]): T5
The implementation of the function.
The implementation of the function.
In addition of
x
it can also use all thestate to compute its value.
- Definition Classes
- Seq4 → GenericModule
-
final
def
getClass(): Class[_]
- Definition Classes
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- @native()
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final
def
gradients(loss: Variable, zeroGrad: Boolean = true): Seq[Option[STen]]
Computes the gradient of loss with respect to the parameters.
Computes the gradient of loss with respect to the parameters.
- Definition Classes
- GenericModule
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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final
def
learnableParameters: Long
Returns the total number of optimizable parameters.
Returns the total number of optimizable parameters.
- Definition Classes
- GenericModule
- val m1: M1 with GenericModule[T1, T2]
- val m2: M2 with GenericModule[T2, T3]
- val m3: M3 with GenericModule[T3, T4]
- val m4: M4 with GenericModule[T4, T5]
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
- Definition Classes
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final
def
notifyAll(): Unit
- Definition Classes
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final
def
parameters: Seq[(Constant, PTag)]
Returns the state variables which need gradient computation.
Returns the state variables which need gradient computation.
- Definition Classes
- GenericModule
-
def
state: Seq[(Constant, PTag)]
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.
- Definition Classes
- Seq4 → GenericModule
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
- Definition Classes
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final
def
zeroGrad(): Unit
- Definition Classes
- GenericModule