Graph

Type Members

type ModuleNode[T] = Node[AbstractModule[Activity, Activity, T]]

Node for graph container.
Node for graph container. The module should have a tensor/table input while a tensor output

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 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
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
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
def apply[T](preprocessor: Module[T], trainable: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Graph[T]
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
final def asInstanceOf[T0]: T0

Definition Classes
Any
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

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
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
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]

Default deserialization using reflection
Default deserialization using reflection
context
deserialize context
returns
BigDL module

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

Definition Classes
GraphSerializable → 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]

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

Attributes
protected
Definition Classes
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 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
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): Graph.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 Graph | package nn

object Graph extends GraphSerializable with Serializable

Type Members

type ModuleNode[T] = Node[AbstractModule[Activity, Activity, T]]

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _copyWeightAndBias: Boolean

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

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

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

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

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]

final def asInstanceOf[T0]: T0

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], graphBuilder: 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 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): Graph.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 GraphSerializable

Inherited from ContainerSerializable

Inherited from ModuleSerializable

Inherited from Savable

Inherited from Loadable

Inherited from AnyRef

Inherited from Any

Ungrouped