com.intel.analytics.bigdl.optim

AbstractOptimizer

abstract class AbstractOptimizer extends AnyRef

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  1. new AbstractOptimizer()

Abstract Value Members

  1. abstract def getModel[T](models: RDD[Cache[T]], parameters: Map[String, AllReduceParameter[T]], trainingModel: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Module[T]

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

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  7. def checkpoint[T](cacheTrigger: Option[Trigger], cachePath: Option[String], isOverWrite: Boolean, wallClockTime: Long, models: RDD[Cache[T]], state: Table, parameters: Map[String, AllReduceParameter[T]], optimMethods: Map[String, OptimMethod[T]], trainingModel: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    * Create checkpoint.

    * Create checkpoint.

    cacheTrigger

    cache trigger

    cachePath

    cache path

    isOverWrite

    whether over write

    wallClockTime

    wall clock time

    models

    cached models

    state

    state table

    parameters

    all reduce parameters

    optimMethods

    all optim methods

    trainingModel

    training model

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  8. def clone(): AnyRef

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def saveSummary[T](trainSummary: TrainSummary, models: RDD[Cache[T]], driverState: Table, parameters: Map[String, AllReduceParameter[T]], trainingModel: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Save train summaries.

    Save train summaries.

    trainSummary

    train logger

    models

    cached models

    driverState

    driver state

    parameters

    AllReduceParameter

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

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  20. def toString(): String

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  21. def validate[T](validationTrigger: Option[Trigger], validationDataSet: Option[DataSet[MiniBatch[T]]], validationMethods: Option[Array[ValidationMethod[T]]], coresPerNode: Int, models: RDD[Cache[T]], state: Table, validationSummary: Option[ValidationSummary], header: String, parameters: Map[String, AllReduceParameter[T]] = null): Unit

    Validate current model and save the result.

    Validate current model and save the result.

    validationTrigger

    validation trigger

    validationDataSet

    validation dataset

    validationMethods

    validation methods

    coresPerNode

    cores per node

    models

    cached models

    state

    state table

    validationSummary

    validation logger.

    header

    log header string

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  22. final def wait(): Unit

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

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

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