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com.intel.analytics.bigdl.tensor

DenseTensorMath

object DenseTensorMath

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. def add[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  5. def add[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  6. 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]
  7. 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]
  8. 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]
  9. final def asInstanceOf[T0]: T0
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  10. 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]
  11. def cadd[T](self: DenseTensor[T], x: Tensor[T], value: T, y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
  12. def cdiv[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
  13. def clone(): AnyRef
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    @native() @throws( ... )
  14. def cmax[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
  15. def cmin[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
  16. def cmul[T](self: DenseTensor[T], x: DenseTensor[T], y: DenseTensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
  17. def csub[T](self: DenseTensor[T], x: Tensor[T], value: T, y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
  18. def divide[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  19. def divide[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  20. val doubleEpsilon: Double
  21. final def eq(arg0: AnyRef): Boolean
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  22. def equals(arg0: Any): Boolean
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  23. def exp[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  24. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  25. val floatEpsilon: Double
  26. final def getClass(): Class[_]
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    @native()
  27. def hashCode(): Int
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  28. final def isInstanceOf[T0]: Boolean
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  29. def log[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  30. def log1p[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  31. def maxAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
  32. def mean[T](self: DenseTensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  33. def meanAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
  34. def minAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
  35. def mul[T](self: Tensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  36. def mul[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  37. def mul[T](self: DenseTensor[T], x: Tensor[T], value: T)(implicit ev: TensorNumeric[T]): Tensor[T]
  38. final def ne(arg0: AnyRef): Boolean
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  39. def nearlyEqual[T](a: T, b: T, epsilon: Double)(implicit ev: TensorNumeric[T]): Boolean
  40. def neg[T](self: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  41. 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.

    value

    value-norms

    _dim

    the dimension dim

  42. final def notify(): Unit
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    @native()
  43. final def notifyAll(): Unit
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  44. def pow[T](self: DenseTensor[T], x: Tensor[T], n: T)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  45. def prod[T](self: DenseTensor[T], x: Tensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  46. def prodAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
  47. def sqrt[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  48. def sub[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  49. def sub[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  50. def sum[T](self: DenseTensor[T], x: Tensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  51. def sumAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
  52. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  53. def tanh[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
  54. val taskSize: Int
  55. def toString(): String
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  56. final def wait(): Unit
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  57. final def wait(arg0: Long, arg1: Int): Unit
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  58. final def wait(arg0: Long): Unit
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