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object BeamSearchDecoder

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  1. case class BeamSearchDecoderOutput(scores: Output[Float], predictedIDs: Output[Int], parentIDs: Output[Int]) extends Product with Serializable
  2. case class BeamSearchDecoderState[State](modelState: State, logProbabilities: Output[Float], sequenceLengths: Output[Int], finished: Output[Boolean]) extends Product with Serializable
  3. case class BeamSearchFinalOutput(predictedIDs: Output[Int], output: BeamSearchDecoderOutput) extends Product with Serializable
  4. case class MaybeSortTensorArrayBeamsConverter(sequenceLengths: Output[Int], parentIDs: Output[Int], batchSize: Output[Int], beamWidth: Int) extends Converter with Product with Serializable
  5. case class TileBatchConverter(multiplier: Int) extends Converter with Product with Serializable

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  4. def apply[T, State, StateShape](cell: RNNCell[Output[T], State, core.Shape, StateShape], initialCellState: State, embeddingFn: (Output[Int]) ⇒ Output[T], beginTokens: Output[Int], endToken: Output[Int], beamWidth: Int, lengthPenalty: LengthPenalty = NoPenalty, outputLayer: (Output[T]) ⇒ Output[T] = (o: Output[T]) => o, reorderTensorArrays: Boolean = true, name: String = "BeamSearchRNNDecoder")(implicit arg0: core.types.TF[T], arg1: OutputStructure[State], evOutputToShapeState: Aux[State, StateShape]): BeamSearchDecoder[T, State, StateShape]
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