com.intel.analytics.bigdl.tensor.TensorNumericMath

TensorNumeric

trait TensorNumeric[T] extends Serializable

define tensor math operation

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Abstract Value Members

  1. abstract def abs(x: T): T

  2. abstract def add(n: Int, a: Array[T], offset: Int, v: T, stride: Int): Unit

  3. abstract def arraycopy(src: Array[T], srcPos: Int, dest: Array[T], destPos: Int, length: Int): Unit

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

  5. abstract def divide(x: T, y: T): T

  6. abstract def dot(n: Int, dx: Array[T], _dx_offset: Int, incx: Int, dy: Array[T], _dy_offset: Int, incy: Int): T

  7. abstract def exp(x: T): T

  8. abstract def fill(data: Array[T], fromIndex: Int, toIndex: Int, value: T): Unit

  9. abstract def fromType[K](k: K)(implicit c: ConvertableFrom[K]): T

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

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

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

  13. abstract def getType(): TensorDataType

  14. abstract def inv(v: T): T

  15. abstract def isGreater(x: T, y: T): Boolean

  16. abstract def isGreaterEq(x: T, y: T): Boolean

  17. abstract def log(x: T): T

  18. abstract def log1p(x: T): T

  19. abstract def max(x: T, y: T): T

  20. abstract def minus(x: T, y: T): T

  21. abstract def negative(x: T): T

  22. abstract def plus(x: T, y: T): T

  23. abstract def pow(x: T, y: T): T

  24. abstract def pow(x: T): T

  25. abstract def rand(): T

  26. abstract def randn(): T

  27. abstract def scal(n: Int, sa: T, sx: Array[T], offset: Int, incx: Int): Unit

  28. abstract def sqrt(x: T): T

  29. abstract def sub(n: Int, a: Array[T], offset: Int, v: T, stride: Int): Unit

  30. abstract def sum(n: Int, a: Array[T], aOffset: Int, stride: Int): T

  31. abstract def times(x: T, y: T): T

  32. abstract def toType[K](t: T)(implicit c: ConvertableTo[K]): K

  33. abstract def vAbs(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit

  34. abstract def vAdd(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit

  35. abstract def vDiv(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit

  36. abstract def vExp(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit

  37. abstract def vLn(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit

  38. abstract def vLog1p(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit

  39. abstract def vMul(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit

  40. abstract def vPowx(n: Int, a: Array[T], aOffset: Int, b: T, y: Array[T], yOffset: Int): Unit

  41. abstract def vSqrt(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit

  42. abstract def vSub(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit

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  1. final def !=(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def one: T

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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  23. def zero: T

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