com.intel.analytics.bigdl.example.loadmodel

ModelValidator

object ModelValidator

ModelValidator provides an integrated example to load models, and test over imagenet validation dataset (running as a local Java program, or a standard Spark program).

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  1. sealed trait ModelType extends AnyRef

    This is a trait meaning the model type.

  2. case class TestLocalParams(folder: String = "./", modelType: ModelType = null, modelName: String = "", caffeDefPath: Option[String] = scala.None, modelPath: String = "", batchSize: Int = 32, meanFile: Option[String] = scala.None) extends Product with Serializable

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  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. object BigDlModel extends ModelType with Product with Serializable

  7. object CaffeModel extends ModelType with Product with Serializable

  8. object TorchModel extends ModelType with Product with Serializable

  9. final def asInstanceOf[T0]: T0

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  10. def clone(): AnyRef

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. val logger: Logger

  18. def main(args: Array[String]): Unit

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

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  23. val testLocalParser: OptionParser[TestLocalParams]

  24. def toString(): String

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  25. final def wait(): Unit

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

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

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