Cache

Optimizer cache some metadata on each executor

T
localModels: cached models
modelWeights: weights of the cached models
modelGradients: gradients of the cached models
localCriterions: cached criterion
localStates: cached state
gradient: tensor buffer

Linear Supertypes

Serializable, Serializable, Product, Equals, AnyRef, Any

Instance Constructors

new Cache(localModels: Array[Module[T]], modelWeights: Array[Tensor[T]], modelGradients: Array[Tensor[T]], localCriterions: Array[Criterion[T]], localStates: Array[Table], gradient: Tensor[T], moduleTimeList: Array[Long] = null, localMethods: Array[Option[Array[ValidationMethod[T]]]], optimMethod: OptimMethod[T])

localModels
cached models
modelWeights
weights of the cached models
modelGradients
gradients of the cached models
localCriterions
cached criterion
localStates
cached state
gradient
tensor buffer

Value Members

final def !=(arg0: AnyRef): Boolean

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

Definition Classes
Any
final def ##(): Int

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

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

Definition Classes
Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

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

Definition Classes
AnyRef → Any
val gradient: Tensor[T]

tensor buffer
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val localCriterions: Array[Criterion[T]]

cached criterion
val localMethods: Array[Option[Array[ValidationMethod[T]]]]
val localModels: Array[Module[T]]

cached models
val localStates: Array[Table]

cached state
val modelGradients: Array[Tensor[T]]

gradients of the cached models
val modelWeights: Array[Tensor[T]]

weights of the cached models
var moduleTimeList: Array[Long]
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val optimMethod: OptimMethod[T]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
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( ... )

Instance Constructors

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

val gradient: Tensor[T]

final def isInstanceOf[T0]: Boolean

val localCriterions: Array[Criterion[T]]

val localMethods: Array[Option[Array[ValidationMethod[T]]]]

val localModels: Array[Module[T]]

val localStates: Array[Table]

val modelGradients: Array[Tensor[T]]

val modelWeights: Array[Tensor[T]]

var moduleTimeList: Array[Long]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val optimMethod: OptimMethod[T]

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

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 Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped