Class/Object

org.platanios.tensorflow.api.ops.rnn.attention

AttentionWrapperCell

Related Docs: object AttentionWrapperCell | package attention

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class AttentionWrapperCell[S, SS, AS, ASS] extends RNNCell[Output, core.Shape, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]], (SS, core.Shape, core.Shape, Seq[core.Shape], Seq[core.Shape], Seq[ASS])]

Linear Supertypes
RNNCell[Output, core.Shape, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]], (SS, core.Shape, core.Shape, Seq[core.Shape], Seq[core.Shape], Seq[ASS])], AnyRef, Any
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  1. AttentionWrapperCell
  2. RNNCell
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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. def apply(input: Tuple[Output, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]]]): Tuple[Output, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]]]

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    Definition Classes
    RNNCell

  5. final def asInstanceOf[T0]: T0

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    Any

  6. val attentionLayerWeights: Seq[Output]

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  7. val attentions: Seq[Attention[AS, ASS]]

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  8. val cell: RNNCell[Output, core.Shape, S, SS]

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  9. val cellInputFn: (Output, Output) ⇒ Output

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  10. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  11. final def eq(arg0: AnyRef): Boolean

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  14. def forward(input: Tuple[Output, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]]]): Tuple[Output, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]]]

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    Definition Classes
    AttentionWrapperCell → RNNCell

  15. final def getClass(): Class[_]

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  16. def hashCode(): Int

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  17. def initialState(initialCellState: S, dataType: types.DataType = null): AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]]

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  18. final def isInstanceOf[T0]: Boolean

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  19. val name: String

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  20. final def ne(arg0: AnyRef): Boolean

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val outputAttention: Boolean

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  24. def outputShape: core.Shape

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    Definition Classes
    AttentionWrapperCell → RNNCell

  25. def stateShape: (SS, core.Shape, core.Shape, Seq[core.Shape], Seq[core.Shape], Seq[ASS])

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    Definition Classes
    AttentionWrapperCell → RNNCell

  26. val storeAlignmentsHistory: Boolean

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  27. final def synchronized[T0](arg0: ⇒ T0): T0

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  28. def toString(): String

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  29. final def wait(): Unit

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  30. final def wait(arg0: Long, arg1: Int): Unit

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  31. final def wait(arg0: Long): Unit

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  32. def zeroState(batchSize: Output, dataType: types.DataType, shape: (SS, core.Shape, core.Shape, Seq[core.Shape], Seq[core.Shape], Seq[ASS]), name: String = "ZeroState"): AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]]

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    Definition Classes
    RNNCell

Inherited from RNNCell[Output, core.Shape, AttentionWrapperState[S, SS, Seq[AS], Seq[ASS]], (SS, core.Shape, core.Shape, Seq[core.Shape], Seq[core.Shape], Seq[ASS])]

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