class TensorflowT5 extends Serializable

This class is used to run T5 model for For Sequence Batches of WordpieceTokenizedSentence. Input for this model must be tokenized with a SentencePieceModel,

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Instance Constructors

  1. new TensorflowT5(tensorflow: TensorflowWrapper, spp: SentencePieceWrapper, configProtoBytes: Option[Array[Byte]] = None, signatures: Option[Map[String, String]] = None)

    tensorflow

    Albert Model wrapper with TensorFlowWrapper

    spp

    Albert SentencePiece model with SentencePieceWrapper

    configProtoBytes

    Configuration for TensorFlow session

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  6. def createNextTokenLogitsPenalties(inputIds: Seq[Array[Int]], logits: Array[Array[Float]], repetitionPenalty: Double): Array[Array[Float]]
  7. def decode(sentences: Array[Array[Int]]): Seq[String]
  8. def encode(sentences: Seq[Annotation], task: String): Seq[Array[Int]]
  9. final def eq(arg0: AnyRef): Boolean
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  11. def finalize(): Unit
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  12. def generateNoBeamSearch(inputIds: Seq[Array[Int]], decoderEncoderStateTensors: Tensor, encoderAttentionMaskTensors: Tensor, maxOutputLength: Int, minOutputLength: Int, doSample: Boolean, temperature: Double, topK: Int, topP: Double, repetitionPenalty: Double, noRepeatNgramSize: Int, batch_size: Int, vocab_size: Int, randomSeed: Option[Long], session: Session, ignoreTokenIds: Array[Int] = Array()): Array[Array[Int]]
  13. final def getClass(): Class[_]
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    @native()
  14. def getGeneratedNgrams(prevInputIds: Seq[Array[Int]], generatedNgrams: Array[Map[IndexedSeq[Int], List[Int]]], hypoIdx: Int, curLen: Int, noRepeatNgramSize: Int): Array[Int]
  15. def hashCode(): Int
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  18. final def notify(): Unit
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  19. final def notifyAll(): Unit
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  20. def predict(sentences: Seq[Annotation], batchSize: Int, minOutputLength: Int, maxOutputLength: Int, doSample: Boolean, temperature: Double, topK: Int, topP: Double, repetitionPenalty: Double, noRepeatNgramSize: Int, task: String, randomSeed: Option[Long] = None, ignoreTokenIds: Array[Int] = Array()): Seq[Annotation]
  21. val spp: SentencePieceWrapper
  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. def tag(batch: Seq[Array[Int]], minOutputLength: Int, maxOutputLength: Int, doSample: Boolean, temperature: Double, topK: Int, topP: Double, repetitionPenalty: Double, noRepeatNgramSize: Int, randomSeed: Option[Long], ignoreTokenIds: Array[Int] = Array()): Array[Array[Int]]
  24. val tensorflow: TensorflowWrapper
  25. def toString(): String
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  26. final def wait(): Unit
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  28. final def wait(arg0: Long): Unit
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