SpatialDivisiveNormalization

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. var _copyWeightAndBias: Boolean

   Attributes

   protected

   Definition Classes

   ModuleSerializable

7. def apply[T](nInputPlane: Int = 1, kernel: Tensor[T] = null, threshold: Double = 1e-4, thresval: Double = 1e-4)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SpatialDivisiveNormalization[T]

8. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

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

   Attributes

   protected

   Definition Classes

   ModuleSerializable

10. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

11. 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

12. 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

13. def copyWeightAndBias(): Boolean

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

16. 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

    SpatialDivisiveNormalization → ModuleSerializable

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

    Definition Classes

    SpatialDivisiveNormalization → ModuleSerializable

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

    Definition Classes

    AnyRef

19. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

20. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

22. def getLock: AnyRef

    Attributes

    protected

    Definition Classes

    ModuleSerializable

23. def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])

    Attributes

    protected

    Definition Classes

    ModuleSerializable

24. def hashCode(): Int

    Definition Classes

    AnyRef → Any

25. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

26. 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

27. val lock: AnyRef

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Definition Classes

    AnyRef

29. final def notify(): Unit

    Definition Classes

    AnyRef

30. final def notifyAll(): Unit

    Definition Classes

    AnyRef

31. 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

32. def setCopyWeightAndBias(copyWeightAndBias: Boolean): SpatialDivisiveNormalization.this.type

    Definition Classes

    ModuleSerializable

33. def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Definition Classes

    AnyRef

36. def toString(): String

    Definition Classes

    AnyRef → Any

37. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )