BatchNormalization

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 apply[T](affine: Option[Int])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): BatchNormalization[T]

   

5. def apply[T](nOutput: Int, eps: Double = 1e-5, momentum: Double = 0.1, affine: Boolean = true, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): BatchNormalization[T]

   

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

   

   Attributes

   protected

   Definition Classes

   ModuleSerializable

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

   

   copy serialized data (weight and bias if exist) to BigDL module

   copy serialized data (weight and bias if exist) to BigDL module

   context

   deserialized context

   module

   bigDL Module with relationships

   Attributes

   protected

   Definition Classes

   ModuleSerializable

10. def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    

    copy BigDL module data (weight and bias if exist) to BigDL Model to be persisted

    copy BigDL module data (weight and bias if exist) to BigDL Model to be persisted

    context

    serialization context

    modelBuilder

    serialized module builder

    Attributes

    protected

    Definition Classes

    ModuleSerializable

11. def createBigDLModule[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    

    Attributes

    protected

    Definition Classes

    ModuleSerializable

12. def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    

    Attributes

    protected

    Definition Classes

    ModuleSerializable

13. def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

    

    Default deserialization using reflection

    Default deserialization using reflection

    context

    deserialize context

    returns

    BigDL module

    Definition Classes

    BatchNormalization → ModuleSerializable

14. def doSerializeModule[T](context: SerializeContext[T], batchNormBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    

    Definition Classes

    BatchNormalization → ModuleSerializable

15. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

16. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

17. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

18. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

19. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

20. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

21. def loadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    

    Default deserialization to provide the template

    Default deserialization to provide the template

    returns

    BigDL module instance with linkages with other modules

    Definition Classes

    ModuleSerializable → Loadable

22. val lock: AnyRef

    

    Attributes

    protected

    Definition Classes

    ModuleSerializable

23. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

24. final def notify(): Unit

    

    Definition Classes

    AnyRef

25. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

26. def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    

    Default serialization skeleton using reflection

    Default serialization skeleton using reflection

    context

    Serialization context

    returns

    serialized protobuf module instace

    Definition Classes

    ModuleSerializable → Savable

27. def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    

    Attributes

    protected

    Definition Classes

    ModuleSerializable

28. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

29. def toString(): String

    

    Definition Classes

    AnyRef → Any

30. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

31. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

32. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )