com.intel.analytics.bigdl.nn.keras

Sequential

object Sequential extends KerasLayerSerializable with Serializable

Linear Supertypes
Serializable, Serializable, KerasLayerSerializable, TKerasSerializerHelper, ContainerSerializable, ModuleSerializable, Savable, Loadable, AnyRef, Any
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  1. Sequential
  2. Serializable
  3. Serializable
  4. KerasLayerSerializable
  5. TKerasSerializerHelper
  6. ContainerSerializable
  7. ModuleSerializable
  8. Savable
  9. Loadable
  10. AnyRef
  11. Any
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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 appendKerasLabel[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Definition Classes
    TKerasSerializerHelper
  8. def apply[T]()(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Sequential[T]

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  10. def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  11. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. 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
  13. 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
  14. def copyWeightAndBias(): Boolean

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  15. def createBigDLModule[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  16. def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  17. 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
    ContainerSerializableModuleSerializable
  18. def doSerializeModule[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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

    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  21. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  23. def getLock: AnyRef

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  24. def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  25. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  26. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  27. 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
    ModuleSerializableLoadable
  28. def loadSubModules[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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

    Attributes
    protected
    Definition Classes
    ContainerSerializable
  35. def setCopyWeightAndBias(copyWeightAndBias: Boolean): Sequential.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( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from KerasLayerSerializable

Inherited from TKerasSerializerHelper

Inherited from ContainerSerializable

Inherited from ModuleSerializable

Inherited from Savable

Inherited from Loadable

Inherited from AnyRef

Inherited from Any

Ungrouped