t

com.intel.analytics.bigdl.nn.keras

KerasLayerSerializable

trait KerasLayerSerializable extends ContainerSerializable with TKerasSerializerHelper

Linear Supertypes
TKerasSerializerHelper, ContainerSerializable, ModuleSerializable, Savable, Loadable, AnyRef, Any
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Inherited
  1. KerasLayerSerializable
  2. TKerasSerializerHelper
  3. ContainerSerializable
  4. ModuleSerializable
  5. Savable
  6. Loadable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

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. val _copyWeightAndBias: Boolean
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  5. def appendKerasLabel[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
    Definition Classes
    TKerasSerializerHelper
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. 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
  8. def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  10. 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
  11. 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
  12. def copyWeightAndBias(): Boolean
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  13. 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.

    context

    Deserialization context

    module

    The BigDL module to be re-created

    returns

    Tuple3 contains information of current module and modules adjacent to it

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  14. def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  15. 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
  16. def doSerializeModule[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  19. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  21. def getLock: AnyRef
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  22. def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  23. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. 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
  26. def loadSubModules[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
  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
    Annotations
    @native()
  30. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  31. 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
  32. 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
  33. def serializeSubModules[T](context: SerializeContext[T], containerBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
    Attributes
    protected
    Definition Classes
    ContainerSerializable
  34. def setCopyWeightAndBias(copyWeightAndBias: Boolean): KerasLayerSerializable.this.type
    Definition Classes
    ModuleSerializable
  35. def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  36. def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
    Attributes
    protected
    Definition Classes
    ModuleSerializable
  37. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  38. def toString(): String
    Definition Classes
    AnyRef → Any
  39. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from TKerasSerializerHelper

Inherited from ContainerSerializable

Inherited from ModuleSerializable

Inherited from Savable

Inherited from Loadable

Inherited from AnyRef

Inherited from Any

Ungrouped