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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    protected[java.lang]
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    @throws( ... )
  16. def cmax[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]

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

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

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

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

  21. val doubleEpsilon: Double

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

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  23. def equals(arg0: Any): Boolean

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

  25. def finalize(): Unit

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  26. val floatEpsilon: Double

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

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  28. def hashCode(): Int

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  29. final def isInstanceOf[T0]: Boolean

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

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

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

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

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

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

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

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

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

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

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

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

  42. 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

  43. final def notify(): Unit

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  44. final def notifyAll(): Unit

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

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

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

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

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

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

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

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  52. val taskSize: Int

  53. def toString(): String

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  54. final def wait(): Unit

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

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

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