Packages

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

Dimensions of a tensor.

dim

Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.

unknownRank

If true, the number of dimensions in the shape is unknown. If true, "dim.size()" must be 0.

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

Instance Constructors

  1. new TensorShapeProto(dim: Seq[Dim] = _root_.scala.Seq.empty, unknownRank: Boolean = false, unknownFields: UnknownFieldSet = ...)

    dim

    Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.

    unknownRank

    If true, the number of dimensions in the shape is unknown. If true, "dim.size()" must be 0.

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[Dim]): TensorShapeProto
  5. def addDim(__vs: Dim*): 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( ... ) @native() @HotSpotIntrinsicCandidate()
  9. def companion: TensorShapeProto.type
    Definition Classes
    TensorShapeProto → GeneratedMessage
  10. val dim: Seq[Dim]
  11. def discardUnknownFields: TensorShapeProto
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  14. def getField(__field: FieldDescriptor): PValue
    Definition Classes
    TensorShapeProto → GeneratedMessage
  15. def getFieldByNumber(__fieldNumber: Int): Any
    Definition Classes
    TensorShapeProto → GeneratedMessage
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  20. def serializedSize: Int
    Definition Classes
    TensorShapeProto → GeneratedMessage
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. final def toByteArray: Array[Byte]
    Definition Classes
    GeneratedMessage
  23. final def toByteString: ByteString
    Definition Classes
    GeneratedMessage
  24. final def toPMessage: PMessage
    Definition Classes
    GeneratedMessage
  25. def toProtoString: String
    Definition Classes
    TensorShapeProto → GeneratedMessage
  26. val unknownFields: UnknownFieldSet
  27. val unknownRank: Boolean
  28. def update(ms: (Lens[TensorShapeProto, TensorShapeProto]) ⇒ Mutation[TensorShapeProto]*): TensorShapeProto
    Definition Classes
    Updatable
  29. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. def withDim(__v: Seq[Dim]): TensorShapeProto
  33. def withUnknownFields(__v: UnknownFieldSet): TensorShapeProto
  34. def withUnknownRank(__v: Boolean): 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

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Updatable[TensorShapeProto]

Inherited from GeneratedMessage

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

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