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case class TensorArray[T] extends Product with Serializable

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  1. TensorArray
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def asUntyped: TensorArray[Any]
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  7. def close(name: String = "TensorArrayClose"): Op[Output[core.types.Resource], Unit]
  8. val colocateWithFirstWrite: Boolean
  9. def concatenate(name: String = "TensorArrayConcatenate"): Output[T]
  10. val dataType: core.types.DataType[T]
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. val flow: Output[Float]
  14. def gather(indices: Output[Int], name: String = "TensorArrayGather"): Output[T]
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. val handle: Output[core.types.Resource]
  17. def identity: TensorArray[T]
  18. val inferShape: Boolean
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. def read(index: Output[Int], name: String = "TensorArrayRead"): Output[T]
  24. def scatter(indices: Output[Int], value: Output[T], name: String = "TensorArrayScatter"): TensorArray[T]
  25. def size(name: String = "TensorArraySize"): Output[Int]
  26. def split(input: Output[T], lengths: Output[Long], name: String = "TensorArraySplit"): TensorArray[T]
  27. def stack(name: String = "TensorArrayStack"): Output[T]
  28. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  29. def toOutput: Output[T]
  30. def unstack(value: Output[T], name: String = "TensorArrayUnstack"): TensorArray[T]
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  34. def write(index: Output[Int], value: Output[T], name: String = "TensorArrayWrite"): TensorArray[T]

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