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com.intel.analytics.bigdl.tensor

DenseTensorMath

Related Doc: package tensor

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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

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

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

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  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]

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  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]

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  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]

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  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]

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

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

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  13. def clone(): AnyRef

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

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

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

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

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

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

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  20. val doubleEpsilon: Double

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  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]

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  24. def finalize(): Unit

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  25. val floatEpsilon: Double

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

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  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]

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

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

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

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

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

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

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

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

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  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

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

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

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    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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  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]

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

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

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

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

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

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

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

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

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

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  54. val taskSize: Int

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  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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