BatchNormalization

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

8. 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]

9. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

10. def attrValueToFloatArray(attr: AttrValue): Array[Float]

    Convert Attr Value object to Array of Float

    Convert Attr Value object to Array of Float

    returns

    Array[Float]

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

12. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

13. 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

14. 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

15. def copyWeightAndBias(): Boolean

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Re-create BigDL module by deserializing protobuf context.

    Re-create BigDL module by deserializing protobuf context.

    T

    context

    Deserialization context

    module

    The BigDL module to be re-created

    ev

    returns

    Tuple3 contains information of current module and modules adjacent to it

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

18. 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

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

    Definition Classes

    BatchNormalization → ModuleSerializable

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

    Definition Classes

    AnyRef

21. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

22. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

24. def getLock: AnyRef

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

26. def hashCode(): Int

    Definition Classes

    AnyRef → Any

27. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

28. 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

29. val lock: AnyRef

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Definition Classes

    AnyRef

31. final def notify(): Unit

    Definition Classes

    AnyRef

32. final def notifyAll(): Unit

    Definition Classes

    AnyRef

33. def saveMklInt8Attr[T](module: MklInt8Convertible, modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Serialize and save MKL DNN INT8 attributes into BigDL Model of protobuf definition

    Serialize and save MKL DNN INT8 attributes into BigDL Model of protobuf definition

    modelBuilder

    serialized module builder

    Attributes

    protected

    Definition Classes

    ModuleSerializable

34. 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

35. def setCopyWeightAndBias(copyWeightAndBias: Boolean): BatchNormalization.this.type

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Definition Classes

    AnyRef

39. def toString(): String

    Definition Classes

    AnyRef → Any

40. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )