Object

com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric

NumericFloat

Related Doc: package TensorNumeric

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implicit object NumericFloat extends UndefinedTensorNumeric[Float]

Linear Supertypes
UndefinedTensorNumeric[Float], TensorNumeric[Float], Serializable, Serializable, AnyRef, Any
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  1. NumericFloat
  2. UndefinedTensorNumeric
  3. TensorNumeric
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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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(x: Float): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  5. def add(n: Int, a: Array[Float], offset: Int, v: Float, stride: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  6. def addcdiv(value: Float, n: Int, self: Array[Float], selfOffset: Int, a: Array[Float], aOffset: Int, b: Array[Float], bOffset: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  7. def addcmul(value: Float, n: Int, self: Array[Float], selfOffset: Int, a: Array[Float], aOffset: Int, b: Array[Float], bOffset: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  8. def and(x: Float, y: Float): Float

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    UndefinedTensorNumeric → TensorNumeric

  9. def arraycopy(src: Array[Float], srcPos: Int, dest: Array[Float], destPos: Int, length: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  10. final def asInstanceOf[T0]: T0

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  11. def axpy(n: Int, da: Float, dx: Array[Float], _dx_offset: Int, incx: Int, dy: Array[Float], _dy_offset: Int, incy: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  12. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  13. def divide(x: Float, y: Float): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  14. def dot(n: Int, dx: Array[Float], _dx_offset: Int, incx: Int, dy: Array[Float], _dy_offset: Int, incy: Int): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

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

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  16. def equals(arg0: Any): Boolean

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  17. def exp(x: Float): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  18. def fill(data: Array[Float], fromIndex: Int, toIndex: Int, value: Float): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  19. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  20. def floor(a: Float): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  21. def fromType[K](k: K)(implicit c: ConvertableFrom[K]): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  22. def gemm(transa: Char, transb: Char, m: Int, n: Int, k: Int, alpha: Float, a: Array[Float], aOffset: Int, lda: Int, b: Array[Float], bOffset: Int, ldb: Int, beta: Float, c: Array[Float], cOffset: Int, ldc: Int): Unit

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    Definition Classes
    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  23. def gemv(trans: Char, m: Int, n: Int, alpha: Float, a: Array[Float], aoffset: Int, lda: Int, x: Array[Float], xOffset: Int, incx: Int, beta: Float, y: Array[Float], yOffset: Int, incy: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  24. def ger(m: Int, n: Int, alpha: Float, x: Array[Float], _x_offset: Int, incx: Int, y: Array[Float], _y_offset: Int, incy: Int, a: Array[Float], _a_offset: Int, lda: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

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

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  26. def getType(): TensorDataType

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  27. def hashCode(): Int

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  28. def inv(v: Float): Float

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  29. def isGreater(x: Float, y: Float): Boolean

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  30. def isGreaterEq(x: Float, y: Float): Boolean

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  31. final def isInstanceOf[T0]: Boolean

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  32. def log(x: Float): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  33. def log1p(x: Float): Float

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  34. def max(x: Float, y: Float): Float

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  35. def minus(x: Float, y: Float): Float

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

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  37. def nearlyEqual(a: Float, b: Float, epsilon: Double): Boolean

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  38. def negative(x: Float): Float

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  39. final def notify(): Unit

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  40. final def notifyAll(): Unit

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  41. def one: Float

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    TensorNumeric

  42. def or(x: Float, y: Float): Float

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    UndefinedTensorNumeric → TensorNumeric

  43. def plus(x: Float, y: Float): Float

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  44. def pow(x: Float, y: Float): Float

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  45. def pow(x: Float): Float

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  46. def prod(n: Int, a: Array[Float], aOffset: Int, stride: Int): Float

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  47. def rand(): Float

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  48. def randn(): Float

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  49. def scal(n: Int, sa: Float, sx: Array[Float], offset: Int, incx: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  50. def sqrt(x: Float): Float

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  51. def sub(n: Int, a: Array[Float], offset: Int, v: Float, stride: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  52. def sum(n: Int, a: Array[Float], aOffset: Int, stride: Int): Float

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

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  54. def tanh(x: Float): Float

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  55. def times(x: Float, y: Float): Float

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  56. def toString(): String

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  57. def toType[K](t: Float)(implicit c: ConvertableTo[K]): K

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  58. def vAbs(n: Int, a: Array[Float], aOffset: Int, y: Array[Float], yOffset: Int): Unit

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  59. def vAdd(n: Int, a: Array[Float], aOffset: Int, b: Array[Float], bOffset: Int, y: Array[Float], yOffset: Int): Unit

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  60. def vDiv(n: Int, a: Array[Float], aOffset: Int, b: Array[Float], bOffset: Int, y: Array[Float], yOffset: Int): Unit

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  61. def vExp(n: Int, a: Array[Float], aOffset: Int, y: Array[Float], yOffset: Int): Unit

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    NumericFloat → UndefinedTensorNumeric → TensorNumeric

  62. def vLn(n: Int, a: Array[Float], aOffset: Int, y: Array[Float], yOffset: Int): Unit

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  63. def vLog1p(n: Int, a: Array[Float], aOffset: Int, y: Array[Float], yOffset: Int): Unit

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  64. def vMul(n: Int, a: Array[Float], aOffset: Int, b: Array[Float], bOffset: Int, y: Array[Float], yOffset: Int): Unit

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  65. def vPowx(n: Int, a: Array[Float], aOffset: Int, b: Float, y: Array[Float], yOffset: Int): Unit

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  66. def vSqrt(n: Int, a: Array[Float], aOffset: Int, y: Array[Float], yOffset: Int): Unit

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  67. def vSub(n: Int, a: Array[Float], aOffset: Int, b: Array[Float], bOffset: Int, y: Array[Float], yOffset: Int): Unit

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  68. def vTanh(n: Int, a: Array[Float], aOffset: Int, y: Array[Float], yOffset: Int): Unit

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  69. final def wait(): Unit

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

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

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  72. def zero: Float

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    TensorNumeric

Inherited from UndefinedTensorNumeric[Float]

Inherited from TensorNumeric[Float]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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