Graph

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](input: ModuleNode[T], output: ModuleNode[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Graph[T]

   Build a single input, single output graph container

   Build a single input, single output graph container

   input

   input nodes

   output

   output nodes

   returns

   a graph container

8. def apply[T](input: Array[ModuleNode[T]], output: ModuleNode[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Graph[T]

   Build a multiple inputs, single output graph container

   Build a multiple inputs, single output graph container

   input

   input nodes

   output

   output node

   returns

   a graph container

9. def apply[T](input: ModuleNode[T], output: Array[ModuleNode[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Graph[T]

   Build a single input, multiple outputs graph container

   Build a single input, multiple outputs graph container

   input

   input node

   output

   output nodes

   returns

   a graph container

10. def apply[T](preprocessor: Module[T], trainable: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Graph[T]

11. def apply[T](input: Array[ModuleNode[T]], output: Array[ModuleNode[T]], variables: Option[(Array[Tensor[T]], Array[Tensor[T]])] = None)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Graph[T]

    Build multiple inputs, multiple outputs graph container.

    Build multiple inputs, multiple outputs graph container.

    input

    input node

    output

    output node

    returns

    a graph container

12. final def asInstanceOf[T0]: T0

    Definition Classes

    Any

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

14. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

15. 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

16. 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

17. def copyWeightAndBias(): Boolean

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

20. 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

    GraphSerializable → ContainerSerializable → ModuleSerializable

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

    Definition Classes

    GraphSerializable → ContainerSerializable → ModuleSerializable

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

    Definition Classes

    AnyRef

23. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

24. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

26. def getLock: AnyRef

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

28. def hashCode(): Int

    Definition Classes

    AnyRef → Any

29. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

30. 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

31. def loadSubModules[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes

    protected

    Definition Classes

    ContainerSerializable

32. val lock: AnyRef

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Definition Classes

    AnyRef

34. final def notify(): Unit

    Definition Classes

    AnyRef

35. final def notifyAll(): Unit

    Definition Classes

    AnyRef

36. 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

37. def serializeSubModules[T](context: SerializeContext[T], containerBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes

    protected

    Definition Classes

    ContainerSerializable

38. def setCopyWeightAndBias(copyWeightAndBias: Boolean): Graph.this.type

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Attributes

    protected

    Definition Classes

    ModuleSerializable

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

    Definition Classes

    AnyRef

42. def toString(): String

    Definition Classes

    AnyRef → Any

43. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )