ORTModelBackend

Value Members

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

   

   Definition Classes

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2. final def ##(): Int

   

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

   

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4. val allNodeNamesAndDims: (PointerPointer[BytePointer], Array[LongPointer], PointerPointer[BytePointer])

   

5. val allocator: AllocatorWithDefaultOptions

   

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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   @throws( ... )

8. def close(): Unit

   

   Definition Classes

   ORTModelBackend → AutoCloseable

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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    protected[java.lang]

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

12. def fullModel[T, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17](inputs: (T, T1, T2, T3, T4, T5, T6, T7, T8))(implicit arg0: ClassTag[T], arg1: ClassTag[T1], arg2: ClassTag[T2], arg3: ClassTag[T3], arg4: ClassTag[T4], arg5: ClassTag[T5], arg6: ClassTag[T6], arg7: ClassTag[T7], arg8: ClassTag[T8], arg9: ClassTag[T9], arg10: ClassTag[T10], arg11: ClassTag[T11], arg12: ClassTag[T12], arg13: ClassTag[T13], arg14: ClassTag[T14], arg15: ClassTag[T15], arg16: ClassTag[T16], arg17: ClassTag[T17]): T9

    

    Definition Classes

    ORTModelBackend → Model

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

    

    Definition Classes

    AnyRef → Any

14. def getInput[T](input: T)(implicit arg0: ClassTag[T]): Option[Value]

    

15. def getInputAndOutputNodeNamesAndDims(sess: Session): (PointerPointer[BytePointer], Array[LongPointer], PointerPointer[BytePointer])

    

16. def getSession(bytes: Array[Byte]): Session

    

17. def getTensor[T](input: T)(implicit arg0: ClassTag[T]): Value

    

18. def getTensorByte(tens: Tensor[Byte]): Value

    

19. def getTensorDouble(tens: Tensor[Double]): Value

    

20. def getTensorFloat(tens: Tensor[Float]): Value

    

21. def getTensorFromValue(value: Value, shapePointer: LongPointer): (Array[_1], Array[Int]) forSome {type _1 >: Float with Double with Byte with Short with Int with Long <: AnyVal}

    

22. def getTensorInt(tens: Tensor[Int]): Value

    

23. def getTensorLong(tens: Tensor[Long]): Value

    

24. def getTensorShort(tens: Tensor[Short]): Value

    

25. def hashCode(): Int

    

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26. final def isInstanceOf[T0]: Boolean

    

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27. val memory_info: MemoryInfo

    

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

    

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29. final def notify(): Unit

    

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30. final def notifyAll(): Unit

    

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31. def runModel(sess: Session, input_tensor_values: Array[Value], inputNames: PointerPointer[BytePointer], nodeDims: Array[LongPointer], outputNames: PointerPointer[BytePointer]): (Array[_1], Array[Int]) forSome {type _1 >: Float with Double with Byte with Short with Int with Long <: AnyVal}

    

32. val session: Session

    

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

    

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34. def toString(): String

    

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35. final def wait(): Unit

    

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    @throws( ... )

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

    

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

    

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