trait FixedShapeOrBuilder extends MessageOrBuilder
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 - MessageOrBuilder
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Abstract Value Members
-   abstract  def findInitializationErrors(): List[String]
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getDefaultInstanceForType(): Message
- Definition Classes
 - MessageOrBuilder → MessageLiteOrBuilder
 
 -   abstract  def getDescriptorForType(): Descriptor
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  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; -   abstract  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; -   abstract  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; -   abstract  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; -   abstract  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; -   abstract  def getField(field: FieldDescriptor): AnyRef
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getInitializationErrorString(): String
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def getUnknownFields(): UnknownFieldSet
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def hasField(field: FieldDescriptor): Boolean
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
 - MessageOrBuilder
 
 -   abstract  def isInitialized(): Boolean
- Definition Classes
 - MessageLiteOrBuilder
 
 
Concrete Value Members
-   final  def !=(arg0: Any): Boolean
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 -   final  def ##: Int
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 -   final  def ==(arg0: Any): Boolean
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 -    def clone(): AnyRef
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 -   final  def eq(arg0: AnyRef): Boolean
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 -    def equals(arg0: AnyRef): Boolean
- Definition Classes
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 -    def finalize(): Unit
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 -   final  def getClass(): Class[_ <: AnyRef]
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 -    def hashCode(): Int
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 -    def toString(): String
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 -   final  def wait(arg0: Long, arg1: Int): Unit
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 -   final  def wait(arg0: Long): Unit
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