com.intel.analytics.bigdl.optim.DistriOptimizer

Cache

case class Cache[T](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]], parameterSynchronizer: DistriParameterSynchronizer[T] = null) extends Product with Serializable

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

parameterSynchronizer

cached parameter synchronizer

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Instance Constructors

  1. 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]], parameterSynchronizer: DistriParameterSynchronizer[T] = null)

    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

    parameterSynchronizer

    cached parameter synchronizer

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. final def isInstanceOf[T0]: Boolean

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  12. val localCriterions: Array[Criterion[T]]

    cached criterion

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

    cached validation methods

  14. val localModels: Array[Module[T]]

    cached models

  15. val localStates: Array[Table]

    cached state

  16. val modelGradients: Array[Tensor[T]]

    gradients of the cached models

  17. val modelWeights: Array[Tensor[T]]

    weights of the cached models

  18. var moduleTimeList: Array[Long]

    module running time

  19. final def ne(arg0: AnyRef): Boolean

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. var optimMethods: Map[String, OptimMethod[T]]

    cached optim methods

  23. val parameterSynchronizer: DistriParameterSynchronizer[T]

    cached parameter synchronizer

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

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  25. final def wait(): Unit

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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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  27. final def wait(arg0: Long): Unit

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