com.intel.analytics.zoo.pipeline.inference

AbstractInferenceModel

abstract class AbstractInferenceModel extends Serializable

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Instance Constructors

  1. new AbstractInferenceModel(supportedConcurrentNum: Int)

  2. new AbstractInferenceModel()

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 equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def load(modelPath: String, weightPath: String): Unit

  15. def load(modelPath: String): Unit

  16. def loadCaffe(modelPath: String, weightPath: String): Unit

  17. def loadCaffe(modelPath: String): Unit

  18. def loadTF(modelPath: String, intraOpParallelismThreads: Int, interOpParallelismThreads: Int, usePerSessionThreads: Boolean): Unit

  19. def loadTF(modelPath: String): Unit

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. def predict(inputs: List[JTensor]): List[List[JTensor]]

  24. def predict(input: List[Float], shape: <repeated...>[Int]): List[Float]

  25. def reload(modelPath: String, weightPath: String): Unit

  26. def reload(modelPath: String): Unit

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

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  28. def toString(): String

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  29. final def wait(): Unit

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

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

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