OpenVinoInferenceSupportive

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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   Any

5. def clearWeightBias(model: Module[Float]): Unit

   

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   InferenceSupportive

6. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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   protected[java.lang]

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   @throws( classOf[java.lang.Throwable] )

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

    

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11. def hashCode(): Int

    

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12. final def isInstanceOf[T0]: Boolean

    

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13. def loadOpenVinoIR(modelFilePath: String, weightFilePath: String, deviceTypeValue: Int): Long

    

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    @native()

14. def loadOpenVinoIRInt8(modelFilePath: String, weightFilePath: String, deviceTypeValue: Int, batchSize: Int): Long

    

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    @native()

15. def makeMetaModel(original: AbstractModule[Activity, Activity, Float]): AbstractModule[Activity, Activity, Float]

    

    Definition Classes

    InferenceSupportive

16. def makeUpModel(clonedModel: Module[Float], weightBias: Array[Tensor[Float]]): AbstractModule[Activity, Activity, Float]

    

    Definition Classes

    InferenceSupportive

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. def predict(executableNetworkReference: Long, data: Array[Float], shape: Array[Int]): JTensor

    

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    @native()

21. def predictInt8(executableNetworkReference: Long, data: Array[Byte], shape: Array[Int]): JTensor

    

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    @native()

22. def predictInt8(executableNetworkReference: Long, data: Array[Float], shape: Array[Int]): JTensor

    

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    @native()

23. def releaseOpenVINOIR(executableNetworkReference: Long): Unit

    

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    @native()

24. def releaseWeightBias(model: Module[Float]): Unit

    

    Definition Classes

    InferenceSupportive

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

    

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26. def timing[T](name: String)(f: ⇒ T): T

    

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    InferenceSupportive

27. def toString(): String

    

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28. def transferBatchTableToJListOfJListOfJTensor(batchTable: Table, batchSize: Int): List[List[JTensor]]

    

    Definition Classes

    InferenceSupportive

29. def transferBatchTensorToJListOfJListOfJTensor(batchTensor: Tensor[Float], batchSize: Int): List[List[JTensor]]

    

    Definition Classes

    InferenceSupportive

30. def transferListOfActivityToActivityOfBatch(inputs: List[List[JTensor]], batchSize: Int): Activity

    

    Definition Classes

    InferenceSupportive

31. def transferTensorToJTensor(input: Tensor[Float]): JTensor

    

    Definition Classes

    InferenceSupportive

32. def transferTensorsToTensorOfBatch(tensors: Array[JTensor]): Tensor[Float]

    

    Definition Classes

    InferenceSupportive

33. final def wait(): Unit

    

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    @throws( ... )

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

    

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

    

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    @throws( ... )