Cache

Optimizer cache some metadata on each executor

T: Tensor element type
localModels: cached models
modelWeights: weights of the cached models
modelGradients: gradients of the cached models
localCriterions: cached criterion
localStates: cached state
moduleTimeList: module running time
localMethods: cached validation methods
optimMethods: cached optim methods

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], moduleTimeList: Array[Long] = null, localMethods: Array[Option[Array[ValidationMethod[T]]]], optimMethods: Map[String, OptimMethod[T]])

localModels
cached models
modelWeights
weights of the cached models
modelGradients
gradients of the cached models
localCriterions
cached criterion
localStates
cached state
moduleTimeList
module running time
localMethods
cached validation methods
optimMethods
cached optim methods

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
final def isInstanceOf[T0]: Boolean

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

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

cached validation methods
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]

module running time
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val optimMethods: Map[String, OptimMethod[T]]

cached optim methods
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[_]

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 optimMethods: Map[String, 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