Tensor

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. def abs(leftHandSide: Tensor): InlineTensor

   

5. def apply[A](elements: A, padding: Float = 0.0f)(implicit tensorBuilder: Aux[A, Float]): BufferedTensor

   

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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   protected[java.lang]

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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 exp(leftHandSide: Tensor): InlineTensor

    

11. def fill(value: Float, shape0: Array[Int], padding: Float = 0.0f): InlineTensor

    

12. def finalize(): Unit

    

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

    

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14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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16. def log(leftHandSide: Tensor): InlineTensor

    

17. def max(leftHandSide: Tensor, rightHandSide: Tensor): InlineTensor

    

18. def min(leftHandSide: Tensor, rightHandSide: Tensor): InlineTensor

    

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. def random(shape: Array[Int], seed: Int = Random.nextInt(), padding: Float = 0.0f): BufferedTensor

    

23. def randomNormal(shape: Array[Int], seed: Int = Random.nextInt(), padding: Float = 0.0f): BufferedTensor

    

    Generate random numbers in normal distribution.

24. def scalar(value: Float, padding: Float = 0.0f): InlineTensor

    

25. def sqrt(leftHandSide: Tensor): InlineTensor

    

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

    

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27. def tanh(leftHandSide: Tensor): InlineTensor

    

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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32. def zip(tensors0: Seq[Tensor]): BufferedTensor