final case class TensorShapeProto(dim: Seq[Dimension] = _root_.scala.Seq.empty, unknownFields: UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty) extends GeneratedMessage with Updatable[TensorShapeProto] with Product with Serializable

Defines a tensor shape. A dimension can be either an integer value or a symbolic variable. A symbolic variable represents an unknown dimension.

Annotations
@SerialVersionUID()
Linear Supertypes
Updatable[TensorShapeProto], GeneratedMessage, Serializable, Product, Equals, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. TensorShapeProto
  2. Updatable
  3. GeneratedMessage
  4. Serializable
  5. Product
  6. Equals
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new TensorShapeProto(dim: Seq[Dimension] = _root_.scala.Seq.empty, unknownFields: UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty)

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. def addAllDim(__vs: Iterable[Dimension]): TensorShapeProto
  5. def addDim(__vs: Dimension*): TensorShapeProto
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clearDim: TensorShapeProto
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  9. def companion: TensorShapeProto.type
    Definition Classes
    TensorShapeProto → GeneratedMessage
  10. val dim: Seq[Dimension]
  11. def discardUnknownFields: TensorShapeProto
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  14. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getField(__field: FieldDescriptor): PValue
    Definition Classes
    TensorShapeProto → GeneratedMessage
  16. def getFieldByNumber(__fieldNumber: Int): Any
    Definition Classes
    TensorShapeProto → GeneratedMessage
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def productElementNames: Iterator[String]
    Definition Classes
    Product
  22. def serializedSize: Int
    Definition Classes
    TensorShapeProto → GeneratedMessage
  23. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  24. final def toByteArray: Array[Byte]
    Definition Classes
    GeneratedMessage
  25. final def toByteString: ByteString
    Definition Classes
    GeneratedMessage
  26. final def toPMessage: PMessage
    Definition Classes
    GeneratedMessage
  27. def toProtoString: String
    Definition Classes
    TensorShapeProto → GeneratedMessage
  28. val unknownFields: UnknownFieldSet
  29. def update(ms: (Lens[TensorShapeProto, TensorShapeProto]) => Mutation[TensorShapeProto]*): TensorShapeProto
    Definition Classes
    Updatable
  30. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  31. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  32. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  33. def withDim(__v: Seq[Dimension]): TensorShapeProto
  34. def withUnknownFields(__v: UnknownFieldSet): TensorShapeProto
  35. final def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    GeneratedMessage
  36. def writeTo(_output__: CodedOutputStream): Unit
    Definition Classes
    TensorShapeProto → GeneratedMessage
  37. final def writeTo(output: OutputStream): Unit
    Definition Classes
    GeneratedMessage

Inherited from Updatable[TensorShapeProto]

Inherited from GeneratedMessage

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped