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trait RNN extends AnyRef

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RNN
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  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. final def asInstanceOf[T0]: T0
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  5. def bidirectionalDynamicRNN[Out, State, OutShape, StateShape](cellFw: RNNCell[Out, State, OutShape, StateShape], cellBw: RNNCell[Out, State, OutShape, StateShape], input: Out, initialStateFw: Option[State] = None, initialStateBw: Option[State] = None, timeMajor: Boolean = false, parallelIterations: Int = 32, swapMemory: Boolean = false, sequenceLengths: Output[Int] = null, name: String = "RNN")(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evZeroOut: Aux[Out, OutShape], evZeroState: Aux[State, StateShape]): (Tuple[Out, State], Tuple[Out, State])
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  6. def clone(): AnyRef
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  7. def dynamicRNN[Out, State, OutShape, StateShape](cell: RNNCell[Out, State, OutShape, StateShape], input: Out, initialState: Option[State] = None, timeMajor: Boolean = false, parallelIterations: Int = 32, swapMemory: Boolean = false, sequenceLengths: Output[Int] = null, name: String = "RNN")(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evZeroOut: Aux[Out, OutShape], evZeroState: Aux[State, StateShape]): Tuple[Out, State]
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  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def finalize(): Unit
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  11. final def getClass(): Class[_]
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  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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  16. final def notifyAll(): Unit
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  17. final def synchronized[T0](arg0: ⇒ T0): T0
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  18. def toString(): String
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  19. final def wait(): Unit
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  20. final def wait(arg0: Long, arg1: Int): Unit
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