Packages

final class FixedShape extends GeneratedMessageV3 with FixedShapeOrBuilder

Specifies a fixed shape for the feature's values. The immediate implication
is that each feature has a fixed number of values. Moreover, these values
can be parsed in a multi-dimensional tensor using the specified axis sizes.
The FixedShape defines a lexicographical ordering of the data. For instance,
if there is a FixedShape {
  dim {size:3} dim {size:2}
}
then tensor[0][0]=field[0]
then tensor[0][1]=field[1]
then tensor[1][0]=field[2]
then tensor[1][1]=field[3]
then tensor[2][0]=field[4]
then tensor[2][1]=field[5]

The FixedShape message is identical with the tensorflow.TensorShape proto
message for fully defined shapes. The FixedShape message cannot represent
unknown dimensions or an unknown rank.

Protobuf type tensorflow.metadata.v0.FixedShape

Source
FixedShape.java
Linear Supertypes
FixedShapeOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. FixedShape
  2. FixedShapeOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. Protected

Value Members

  1. def equals(obj: AnyRef): Boolean
    Definition Classes
    FixedShape → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  2. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  3. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  4. def getDefaultInstanceForType(): FixedShape
    Definition Classes
    FixedShape → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  5. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  6. def getDim(index: Int): Dim

    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.


    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.

    repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;

    Definition Classes
    FixedShape → FixedShapeOrBuilder
    Annotations
    @Override()
  7. def getDimCount(): Int

    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.


    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.

    repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;

    Definition Classes
    FixedShape → FixedShapeOrBuilder
    Annotations
    @Override()
  8. def getDimList(): List[Dim]

    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.


    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.

    repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;

    Definition Classes
    FixedShape → FixedShapeOrBuilder
    Annotations
    @Override()
  9. def getDimOrBuilder(index: Int): DimOrBuilder

    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.


    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.

    repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;

    Definition Classes
    FixedShape → FixedShapeOrBuilder
    Annotations
    @Override()
  10. def getDimOrBuilderList(): List[_ <: DimOrBuilder]

    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.


    The dimensions that define the shape. The total number of values in each
example is the product of sizes of each dimension.

    repeated .tensorflow.metadata.v0.FixedShape.Dim dim = 2;

    Definition Classes
    FixedShape → FixedShapeOrBuilder
    Annotations
    @Override()
  11. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  12. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  13. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  14. def getParserForType(): Parser[FixedShape]
    Definition Classes
    FixedShape → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  15. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  16. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. def getSerializedSize(): Int
    Definition Classes
    FixedShape → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  18. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  19. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  20. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  21. def hashCode(): Int
    Definition Classes
    FixedShape → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  22. final def isInitialized(): Boolean
    Definition Classes
    FixedShape → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  23. def newBuilderForType(): Builder
    Definition Classes
    FixedShape → Message → MessageLite
    Annotations
    @Override()
  24. def toBuilder(): Builder
    Definition Classes
    FixedShape → Message → MessageLite
    Annotations
    @Override()
  25. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  26. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  27. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  28. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  29. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    FixedShape → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  30. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])