class RNN[Out, State, OutShape, StateShape] extends Layer[Out, Tuple[Out, State]]
Linear Supertypes
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- RNN
- Layer
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Instance Constructors
- new RNN(name: String, cell: RNNCell[Out, State, OutShape, StateShape], initialState: () => State = null, timeMajor: Boolean = false, parallelIterations: Int = 32, swapMemory: Boolean = false, sequenceLengths: tensors.Tensor[Int] = null)(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evOutputToShapeOut: Aux[Out, OutShape], evOutputToShapeState: Aux[State, StateShape], evZeroOut: Aux[Out, OutShape], evZeroState: Aux[State, StateShape])
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- def +(other: Layer[Out, Tuple[Out, State]]): Concatenate[Out, Tuple[Out, State]]
- Definition Classes
- Layer
- def ++(others: Seq[Layer[Out, Tuple[Out, State]]]): Concatenate[Out, Tuple[Out, State]]
- Definition Classes
- Layer
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def >>[S](other: Layer[Tuple[Out, State], S]): Compose[Out, Tuple[Out, State], S]
- Definition Classes
- Layer
- def apply(input: Out)(implicit mode: Mode): Tuple[Out, State]
- Definition Classes
- Layer
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val cell: RNNCell[Out, State, OutShape, StateShape]
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def compose[S](other: Layer[Tuple[Out, State], S]): Compose[Out, Tuple[Out, State], S]
- Definition Classes
- Layer
- def concatenate(others: Layer[Out, Tuple[Out, State]]*): Concatenate[Out, Tuple[Out, State]]
- Definition Classes
- Layer
- final def currentStep: ops.Output[Long]
- Definition Classes
- Layer
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- def forward(input: Out)(implicit mode: Mode): Tuple[Out, State]
- Definition Classes
- Layer
- def forwardWithoutContext(input: Out)(implicit mode: Mode): Tuple[Out, State]
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def getParameter[P](name: String, shape: core.Shape, initializer: Initializer = null, regularizer: Regularizer = null, trainable: Boolean = true, reuse: Reuse = ReuseOrCreateNew, collections: Set[Key[ops.variables.Variable[Any]]] = Set.empty, cachingDevice: (OpSpecification) => String = null)(implicit arg0: core.types.TF[P]): ops.Output[P]
- Definition Classes
- Layer
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- val initialState: () => State
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val layerType: String
- def map[MR](mapFn: (Tuple[Out, State]) => MR): Layer[Out, MR]
- Definition Classes
- Layer
- val name: String
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- val parallelIterations: Int
- val sequenceLengths: tensors.Tensor[Int]
- val swapMemory: Boolean
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- val timeMajor: Boolean
- def toString(): String
- Definition Classes
- Layer → AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])