com.intel.analytics.bigdl.models.utils

DistriOptimizerPerfParam

case class DistriOptimizerPerfParam(batchSize: Int = 128, maxEpoch: Int = 5, dataType: String = "float", module: String = "inception_v1", inputData: String = "random") extends Product with Serializable

The parameters of a distributed optimizer

batchSize

batch size

maxEpoch

how many epochs to run

dataType

data type (double / float)

module

module name

inputData

inputData input data type (constant / random)

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Instance Constructors

  1. new DistriOptimizerPerfParam(batchSize: Int = 128, maxEpoch: Int = 5, dataType: String = "float", module: String = "inception_v1", inputData: String = "random")

    batchSize

    batch size

    maxEpoch

    how many epochs to run

    dataType

    data type (double / float)

    module

    module name

    inputData

    inputData input data type (constant / random)

Value Members

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

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    AnyRef

  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. val batchSize: Int

    batch size

  8. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  9. val dataType: String

    data type (double / float)

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

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  11. def finalize(): Unit

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

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  13. val inputData: String

    inputData input data type (constant / random)

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  15. val maxEpoch: Int

    how many epochs to run

  16. val module: String

    module name

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

    Definition Classes
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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. final def wait(): Unit

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

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

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