com.intel.analytics.bigdl.tensor

DenseTensorMath

object DenseTensorMath

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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. def add[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  7. def add[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  8. def addmm[T](r: Tensor[T], beta: T, t: Tensor[T], alpha: T, m1: Tensor[T], m2: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  9. def addmv[T](r: Tensor[T], beta: T, t: Tensor[T], alpha: T, mat: Tensor[T], vec: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  10. def addr[T](r: Tensor[T], beta: T, t: Tensor[T], alpha: T, vec1: Tensor[T], vec2: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  11. final def asInstanceOf[T0]: T0

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  12. def baddbmm[T](result: Tensor[T], beta: T, M: Tensor[T], alpha: T, batch1: Tensor[T], batch2: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  13. def cadd[T](self: DenseTensor[T], x: Tensor[T], value: T, y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  14. def cdiv[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  15. def clone(): AnyRef

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  16. def cmax[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  17. def cmin[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  18. def cmul[T](self: DenseTensor[T], x: DenseTensor[T], y: DenseTensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  19. def csub[T](self: DenseTensor[T], x: Tensor[T], value: T, y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

  20. def divide[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  21. def divide[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  22. val doubleEpsilon: Double

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

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  24. def equals(arg0: Any): Boolean

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  25. def exp[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  26. def finalize(): Unit

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  27. val floatEpsilon: Double

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

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  29. def hashCode(): Int

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  30. final def isInstanceOf[T0]: Boolean

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  31. def log[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  32. def log1p[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  33. def maxAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T

  34. def mean[T](self: DenseTensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  35. def meanAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T

  36. def minAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T

  37. def mul[T](self: Tensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  38. def mul[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  39. def mul[T](self: DenseTensor[T], x: Tensor[T], value: T)(implicit ev: TensorNumeric[T]): Tensor[T]

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

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  41. def nearlyEqual[T](a: T, b: T, epsilon: Double)(implicit ev: TensorNumeric[T]): Boolean

  42. def neg[T](self: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  43. def norm[T](self: DenseTensor[T], result: Tensor[T], value: Int, _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

    returns the p-norms of the Tensor x computed over the dimension dim.

    returns the p-norms of the Tensor x computed over the dimension dim.

    self
    value

    value-norms

    _dim

    the dimension dim

    returns

  44. final def notify(): Unit

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  45. final def notifyAll(): Unit

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  46. def pow[T](self: DenseTensor[T], x: Tensor[T], n: T)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  47. def prod[T](self: DenseTensor[T], x: Tensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  48. def prodAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T

  49. def sqrt[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  50. def sub[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  51. def sub[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  52. def sum[T](self: DenseTensor[T], x: Tensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  53. def sumAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T

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

    Definition Classes
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  55. def tanh[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

  56. val taskSize: Int

  57. def toString(): String

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  58. final def wait(): Unit

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

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

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