RNNEncoder

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
var _copyWeightAndBias: Boolean

Attributes
protected
Definition Classes
ModuleSerializable
def appendKerasLabel[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Definition Classes
TKerasSerializerHelper
def apply[T](rnnType: String, numLayers: Int, hiddenSize: Int, embedding: KerasLayer[Tensor[T], Tensor[T], T] = null, inputShape: Shape = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RNNEncoder[T]

RNNEncoder A generic recurrent neural network encoder
RNNEncoder A generic recurrent neural network encoder
rnnType
style of recurrent unit, one of [SimpleRNN, LSTM, GRU]
numLayers
number of layers used in encoder
hiddenSize
hidden size of encoder
embedding
embedding layer in encoder
inputShape
shape of input
def apply[T](rnns: Array[Recurrent[T]], embedding: KerasLayer[Tensor[T], Tensor[T], T], inputShape: Shape)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RNNEncoder[T]

RNNEncoder A generic recurrent neural network encoder
RNNEncoder A generic recurrent neural network encoder
rnns
rnn layers used for encoder, support stacked rnn layers
embedding
embedding layer in encoder
inputShape
shape of input
final def asInstanceOf[T0]: T0

Definition Classes
Any
def attrValueToFloatArray(attr: AttrValue): Array[Float]

Attributes
protected
Definition Classes
ModuleSerializable
def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ModuleSerializable
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ModuleSerializable
def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ModuleSerializable
def copyWeightAndBias(): Boolean

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

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

Attributes
protected
Definition Classes
ModuleSerializable
def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

Definition Classes
RNNEncoder → ContainerSerializable → ModuleSerializable
def doSerializeModule[T](context: SerializeContext[T], encoderBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Definition Classes
RNNEncoder → KerasLayerSerializable → ContainerSerializable → ModuleSerializable
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def finalize(): Unit

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

Definition Classes
AnyRef → Any
def getLock: AnyRef

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

Attributes
protected
Definition Classes
ModuleSerializable
def hashCode(): Int

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

Definition Classes
Any
def loadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

Definition Classes
ModuleSerializable → Loadable
def loadSubModules[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Definition Classes
KerasLayerSerializable → ContainerSerializable
val lock: AnyRef

Attributes
protected
Definition Classes
ModuleSerializable
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def saveMklInt8Attr[T](module: MklInt8Convertible, modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ModuleSerializable
def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

Definition Classes
ModuleSerializable → Savable
def serializeSubModules[T](context: SerializeContext[T], containerBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ContainerSerializable
def setCopyWeightAndBias(copyWeightAndBias: Boolean): RNNEncoder.this.type

Definition Classes
ModuleSerializable
def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ModuleSerializable
def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Attributes
protected
Definition Classes
ModuleSerializable
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: class RNNEncoder | package seq2seq

object RNNEncoder extends KerasLayerSerializable with Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _copyWeightAndBias: Boolean

def appendKerasLabel[T](context: SerializeContext[T], moduleBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def apply[T](rnnType: String, numLayers: Int, hiddenSize: Int, embedding: KerasLayer[Tensor[T], Tensor[T], T] = null, inputShape: Shape = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RNNEncoder[T]

def apply[T](rnns: Array[Recurrent[T]], embedding: KerasLayer[Tensor[T], Tensor[T], T], inputShape: Shape)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): RNNEncoder[T]

final def asInstanceOf[T0]: T0

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

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

def clone(): AnyRef

def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def copyWeightAndBias(): Boolean

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

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

def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

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

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getLock: AnyRef

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

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def loadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

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

val lock: AnyRef

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

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

def setCopyWeightAndBias(copyWeightAndBias: Boolean): RNNEncoder.this.type

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

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

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

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