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trait Math extends AnyRef

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Math
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  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def abs[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Abs")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[OL, T]): OL[T]
  5. def absGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): Output[T]
    Attributes
    protected
  6. def accumulateN[T](inputs: Seq[Output[T]], shape: core.Shape = null, name: String = "AccumulateN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[T]
    Annotations
    @throws( ... )
  7. def accumulateNGradient[T](op: Op[Seq[Output[T]], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Seq[Output[T]]
    Attributes
    protected
  8. def acos[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Acos")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  9. def acosGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  10. def acosh[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "ACosh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  11. def acoshGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  12. def add[T](x: Output[T], y: Output[T], name: String = "Add")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  13. def addGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
    Attributes
    protected
  14. def addN[T](inputs: Seq[Output[T]], name: String = "AddN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[T]
  15. def addNGradient[T](op: Op[Seq[Output[T]], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Seq[Output[T]]
    Attributes
    protected
  16. def all[I](input: Output[Boolean], axes: Output[I] = null, keepDims: Boolean = false, name: String = "All")(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[Boolean]
  17. def angleDouble[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Angle")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
  18. def angleFloat[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Angle")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
  19. def any[I](input: Output[Boolean], axes: Output[I] = null, keepDims: Boolean = false, name: String = "Any")(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[Boolean]
  20. def approximatelyEqual[T](x: Output[T], y: Output[T], tolerance: Float = 0.00001f, name: String = "ApproximatelyEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  21. def argmax[T, I, R](input: Output[T], axes: Output[I], outputDataType: core.types.DataType[R], name: String = "ArgMax")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I], arg4: core.types.TF[R]): Output[R]
  22. def argmin[T, I, R](input: Output[T], axes: Output[I], outputDataType: core.types.DataType[R], name: String = "ArgMin")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I], arg4: core.types.TF[R]): Output[R]
  23. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  24. def asin[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Asin")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  25. def asinGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  26. def asinh[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "ASinh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  27. def asinhGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  28. def atan[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Atan")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  29. def atan2[T](x: Output[T], y: Output[T], name: String = "ATan2")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  30. def atan2Gradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (Output[T], Output[T])
    Attributes
    protected
  31. def atanGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  32. def atanh[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "ATanh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  33. def atanhGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  34. def batchMatmulGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
    Attributes
    protected
  35. def binCount[T](input: Output[Int], dataType: core.types.DataType[T], weights: Output[T] = null, minLength: Output[Int] = null, maxLength: Output[Int] = null, name: String = "BinCount")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLongOrFloatOrDouble[T]): Output[T]
  36. def bucketize[T](input: Output[T], boundaries: Seq[Float], name: String = "Bucketize")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLongOrFloatOrDouble[T]): Output[T]
  37. def ceil[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Ceil")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
  38. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  39. def complexDouble(real: Output[Double], imag: Output[Double], name: String = "Complex"): Output[core.types.ComplexDouble]
  40. def complexDoubleGradient(op: Op[(Output[Double], Output[Double]), Output[core.types.ComplexDouble]], outputGradient: Output[core.types.ComplexDouble]): (Output[Double], Output[Double])
  41. def complexFloat(real: Output[Float], imag: Output[Float], name: String = "Complex"): Output[core.types.ComplexFloat]
  42. def complexFloatGradient(op: Op[(Output[Float], Output[Float]), Output[core.types.ComplexFloat]], outputGradient: Output[core.types.ComplexFloat]): (Output[Float], Output[Float])
  43. def conjugate[T, OL[A] <: OutputLike[A]](input: OL[T], name: String = "Conjugate")(implicit arg0: core.types.TF[T], ev: Aux[OL, T]): OL[T]
  44. def conjugateGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
    protected
  45. def cos[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Cos")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  46. def cosGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  47. def cosh[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Cosh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  48. def coshGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  49. def countNonZero[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "CountNonZero")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[Long]
  50. def countNonZeroSparse[T, OL[A] <: OutputLike[A]](input: OL[T], name: String = "CountNonZero")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Long]
  51. def cross[T](a: Output[T], b: Output[T], name: String = "Cross")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): Output[T]
  52. def crossGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (Output[T], Output[T])
    Attributes
    protected
  53. def cumprod[T, I](input: Output[T], axis: Output[I], exclusive: Boolean = false, reverse: Boolean = false, name: String = "Cumprod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  54. def cumprodGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
    Attributes
    protected
  55. def cumsum[T, I](input: Output[T], axis: Output[I], exclusive: Boolean = false, reverse: Boolean = false, name: String = "Cumsum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  56. def cumsumGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
    Attributes
    protected
  57. def diag[T](diagonal: Output[T], name: String = "Diag")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  58. def diagGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  59. def diagPart[T](input: Output[T], name: String = "DiagPart")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  60. def diagPartGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  61. def digamma[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Digamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
  62. def digammaGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  63. def divide[T](x: Output[T], y: Output[T], name: String = "Divide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  64. def divideGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
    Attributes
    protected
  65. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  66. def equal[T](x: Output[T], y: Output[T], name: String = "Equal")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  67. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  68. def erf[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Erf")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  69. def erfGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  70. def erfc[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Erfc")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  71. def erfcGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  72. def exp[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Exp")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  73. def expGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  74. def expm1[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Expm1")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  75. def expm1Gradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  76. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  77. def floor[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Floor")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
  78. def floorMod[T](x: Output[T], y: Output[T], name: String = "FloorMod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  79. def gatherDropNegatives[T, I](parameters: Output[T], indices: Output[I], zeroClippedIndices: Output[I] = null, isPositive: Output[Boolean] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I], Output[Boolean])
    Attributes
    protected
  80. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  81. def greater[T](x: Output[T], y: Output[T], name: String = "Greater")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  82. def greaterEqual[T](x: Output[T], y: Output[T], name: String = "GreaterEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  83. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  84. def igamma[T](a: Output[T], x: Output[T], name: String = "Igamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  85. def igammaGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (Output[T], Output[T])
    Attributes
    protected
  86. def igammac[T](a: Output[T], x: Output[T], name: String = "Igammac")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  87. def igammacGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (Output[T], Output[T])
    Attributes
    protected
  88. def imagDouble[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Imag")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
  89. def imagDoubleGradient(op: Op[Output[core.types.ComplexDouble], Output[Double]], outputGradient: Output[Double]): Output[core.types.ComplexDouble]
    Attributes
    protected
  90. def imagFloat[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Imag")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
  91. def imagFloatGradient(op: Op[Output[core.types.ComplexFloat], Output[Float]], outputGradient: Output[Float]): Output[core.types.ComplexFloat]
    Attributes
    protected
  92. def incompleteBeta[T](a: Output[T], b: Output[T], x: Output[T], name: String = "IncompleteBeta")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  93. def incompleteBetaGradient[T](op: Op[(Output[T], Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (Output[T], Output[T], Output[T])
    Attributes
    protected
  94. def isFinite[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "IsFinite")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[Boolean]
  95. def isInf[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "IsInf")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[Boolean]
  96. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  97. def isNaN[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "IsNaN")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[Boolean]
  98. def less[T](x: Output[T], y: Output[T], name: String = "Less")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  99. def lessEqual[T](x: Output[T], y: Output[T], name: String = "LessEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  100. def linspace[T, I](start: Output[T], stop: Output[T], numberOfValues: Output[I], name: String = "LinSpace")(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrFloatOrDouble[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  101. def log[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Log")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  102. def log1p[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Log1p")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  103. def log1pGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  104. def logGamma[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "LogGamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
  105. def logGammaGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
    Attributes
    protected
  106. def logGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
    protected
  107. def logSigmoid[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "LogSigmoid")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], ev: Aux[OL, T]): OL[T]
  108. def logSumExp[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "LogSumExp")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
  109. def logicalAnd(x: Output[Boolean], y: Output[Boolean], name: String = "LogicalAnd"): Output[Boolean]
  110. def logicalNot(x: Output[Boolean], name: String = "LogicalNot"): Output[Boolean]
  111. def logicalOr(x: Output[Boolean], y: Output[Boolean], name: String = "LogicalOr"): Output[Boolean]
  112. def logicalXOr(x: Output[Boolean], y: Output[Boolean], name: String = "LogicalXOr"): Output[Boolean]
  113. def magnitudeDouble[OL[A] <: OutputLike[A]](x: OL[core.types.ComplexDouble], name: String = "Magnitude")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
  114. def magnitudeDoubleGradient(op: Op[Output[core.types.ComplexDouble], Output[Double]], outputGradient: Output[Double]): Output[core.types.ComplexDouble]
    Attributes
    protected
  115. def magnitudeFloat[OL[A] <: OutputLike[A]](x: OL[core.types.ComplexFloat], name: String = "Magnitude")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
  116. def magnitudeFloatGradient(op: Op[Output[core.types.ComplexFloat], Output[Float]], outputGradient: Output[Float]): Output[core.types.ComplexFloat]
    Attributes
    protected
  117. def matmul[T](a: Output[T], b: Output[T], transposeA: Boolean = false, transposeB: Boolean = false, conjugateA: Boolean = false, conjugateB: Boolean = false, aIsSparse: Boolean = false, bIsSparse: Boolean = false, name: String = "MatMul")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  118. def matmulGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
    Attributes
    protected
  119. def matrixBandPart[T, I](input: Output[T], numSubDiagonals: Output[I], numSuperDiagonals: Output[I], name: String = "MatrixBandPart")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
  120. def matrixBandPartGradient[T, I](op: Op[(Output[T], Output[I], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I], Output[I])
    Attributes
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  121. def matrixDiag[T](diagonal: Output[T], name: String = "MatrixDiag")(implicit arg0: core.types.TF[T]): Output[T]
  122. def matrixDiagGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
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  123. def matrixDiagPart[T](input: Output[T], name: String = "MatrixDiagPart")(implicit arg0: core.types.TF[T]): Output[T]
  124. def matrixDiagPartGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
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  125. def matrixSetDiag[T](input: Output[T], diagonal: Output[T], name: String = "MatrixSetDiag")(implicit arg0: core.types.TF[T]): Output[T]
  126. def matrixSetDiagGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): (Output[T], Output[T])
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  127. def max[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "Max")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
  128. def maximum[T](x: Output[T], y: Output[T], name: String = "Maximum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  129. def maximumGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  130. def mean[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "Mean")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
  131. def meanGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  132. def min[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "Min")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
  133. def minOrMaxGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  134. def minimum[T](x: Output[T], y: Output[T], name: String = "Minimum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  135. def minimumGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  136. def mod[T](x: Output[T], y: Output[T], name: String = "Mod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  137. def multiply[T](x: Output[T], y: Output[T], name: String = "Multiply")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  138. def multiplyGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
    Attributes
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  139. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  140. def negate[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Negate")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  141. def negateGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
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  142. def notEqual[T](x: Output[T], y: Output[T], name: String = "NotEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Boolean]
  143. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  144. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  145. def polygamma[T](n: Output[T], x: Output[T], name: String = "Polygamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  146. def polygammaGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (Output[T], Output[T])
    Attributes
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  147. def pow[T](x: Output[T], y: Output[T], name: String = "Pow")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  148. def powGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  149. def prod[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "Prod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
  150. def prodGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
  151. def range[T](start: Output[T], limit: Output[T], delta: Output[T] = null, name: String = "Range")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[T]
  152. def realDivide[T](x: Output[T], y: Output[T], name: String = "RealDivide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  153. def realDivideGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  154. def realDouble[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Real")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
  155. def realDoubleGradient(op: Op[Output[core.types.ComplexDouble], Output[Double]], outputGradient: Output[Double]): Output[core.types.ComplexDouble]
    Attributes
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  156. def realFloat[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Real")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
  157. def realFloatGradient(op: Op[Output[core.types.ComplexFloat], Output[Float]], outputGradient: Output[Float]): Output[core.types.ComplexFloat]
    Attributes
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  158. def reciprocal[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Reciprocal")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  159. def reciprocalGradient[T](op: Op[OutputLike[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): OutputLike[T]
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  160. def reciprocalHessian[T](op: Op[(Output[T], OutputLike[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], OutputLike[T])
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  161. def reductionAxes[T, I, OL[A] <: OutputLike[A]](tensor: OL[T], axes: Output[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[I]
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  162. def round[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Round")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  163. def roundInt[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "RoundInt")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
  164. def rsqrt[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Rqsrt")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  165. def rsqrtGradient[T](op: Op[OutputLike[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): OutputLike[T]
    Attributes
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  166. def rsqrtHessian[T](op: Op[(Output[T], OutputLike[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], OutputLike[T])
    Attributes
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  167. def safeShapeDiv(x: Output[Int], y: Output[Int]): Output[Int]
    Attributes
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  168. def scalarMul[T, OL[A] <: OutputLike[A]](scalar: Output[T], tensor: OL[T], name: String = "ScalarMul")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  169. def segmentMax[T, I](data: Output[T], segmentIndices: Output[I], name: String = "SegmentMax")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  170. def segmentMean[T, I](data: Output[T], segmentIndices: Output[I], name: String = "SegmentMean")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  171. def segmentMeanGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
    Attributes
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  172. def segmentMin[T, I](data: Output[T], segmentIndices: Output[I], name: String = "SegmentMin")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  173. def segmentMinOrMaxGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
    Attributes
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  174. def segmentProd[T, I](data: Output[T], segmentIndices: Output[I], name: String = "SegmentProd")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  175. def segmentSum[T, I](data: Output[T], segmentIndices: Output[I], name: String = "SegmentSum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Output[T]
  176. def segmentSumGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  177. def select[T](condition: Output[Boolean], x: Output[T], y: Output[T], name: String = "Select")(implicit arg0: core.types.TF[T]): Output[T]
  178. def selectGradient[T](op: Op[(Output[Boolean], Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): (Output[Boolean], Output[T], Output[T])
    Attributes
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  179. def shapeFullySpecifiedAndEqual[T](x: Output[T], y: Output[T], gradient: Output[T])(implicit arg0: core.types.TF[T]): Boolean
    Attributes
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  180. def sigmoid[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Sigmoid")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  181. def sigmoidGradient[T](op: Op[OutputLike[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): OutputLike[T]
    Attributes
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  182. def sigmoidHessian[T](op: Op[(Output[T], OutputLike[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], OutputLike[T])
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  183. def sign[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Sign")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  184. def signGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
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  185. def sin[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Sin")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  186. def sinGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
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  187. def sinh[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Sinh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  188. def sinhGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
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  189. def sparseMatmulGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  190. def sparseSegmentMean[T, I1, I2](data: Output[T], indices: Output[I1], segmentIndices: Output[Int], numSegments: Output[I2] = null, name: String = "SparseSegmentMean")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: IntDefault[I2], arg5: core.types.TF[I2], arg6: core.types.IsIntOrLong[I2]): Output[T]
  191. def sparseSegmentMeanGradient[T, I1](op: Op[(Output[T], Output[I1], Output[Int]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1]): (Output[T], Output[I1], Output[Int])
    Attributes
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  192. def sparseSegmentMeanWithNumSegmentsGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[Int], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[Int], Output[I2])
    Attributes
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  193. def sparseSegmentSum[T, I1, I2](data: Output[T], indices: Output[I1], segmentIndices: Output[Int], numSegments: Output[I2] = null, name: String = "SparseSegmentSum")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: IntDefault[I2], arg5: core.types.TF[I2], arg6: core.types.IsIntOrLong[I2]): Output[T]
  194. def sparseSegmentSumGradient[T, I1](op: Op[(Output[T], Output[I1], Output[Int]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1]): (Output[T], Output[I1], Output[Int])
    Attributes
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  195. def sparseSegmentSumSqrtN[T, I1, I2](data: Output[T], indices: Output[I1], segmentIndices: Output[Int], numSegments: Output[I2] = null, name: String = "SparseSegmentSumSqrtN")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: IntDefault[I2], arg5: core.types.TF[I2], arg6: core.types.IsIntOrLong[I2]): Output[T]
  196. def sparseSegmentSumSqrtNGradient[T, I1](op: Op[(Output[T], Output[I1], Output[Int]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1]): (Output[T], Output[I1], Output[Int])
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  197. def sparseSegmentSumSqrtNWithNumSegmentsGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[Int], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[Int], Output[I2])
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  198. def sparseSegmentSumWithNumSegmentsGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[Int], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[Int], Output[I2])
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  199. def sqrt[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Sqrt")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  200. def sqrtGradient[T](op: Op[OutputLike[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): OutputLike[T]
    Attributes
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  201. def sqrtHessian[T](op: Op[(Output[T], OutputLike[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], OutputLike[T])
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  202. def square[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Reciprocal")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  203. def squareGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
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  204. def squaredDifference[T](x: Output[T], y: Output[T], name: String = "SquaredDifference")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  205. def squaredDifferenceGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  206. def subtract[T](x: Output[T], y: Output[T], name: String = "Subtract")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  207. def subtractGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Output[T])
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  208. def sum[T, I](input: Output[T], axes: Output[I] = null, keepDims: Boolean = false, name: String = "Sum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): Output[T]
  209. def sumGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (Output[T], Output[I])
    Attributes
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  210. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  211. def tan[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Tan")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  212. def tanGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Attributes
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  213. def tanh[T, OL[A] <: OutputLike[A]](x: OL[T], name: String = "Tanh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
  214. def tanhGradient[T](op: Op[OutputLike[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): OutputLike[T]
    Attributes
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  215. def tanhHessian[T](op: Op[(Output[T], OutputLike[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], OutputLike[T])
    Attributes
    protected
  216. def tensorDot[T](a: Output[T], b: Output[T], axesA: Seq[Int], axesB: Seq[Int], name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  217. def tensorDot[T](a: Output[T], b: Output[T], axesA: Seq[Int], axesB: Seq[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  218. def tensorDot[T](a: Output[T], b: Output[T], numAxes: Int, name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  219. def tensorDot[T](a: Output[T], b: Output[T], numAxes: Int)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  220. def tensorDotDynamic[T](a: Output[T], b: Output[T], axesA: Output[Int], axesB: Output[Int], name: String = "TensorDot")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  221. def tensorDotDynamic[T](a: Output[T], b: Output[T], axesA: Output[Int], axesB: Output[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  222. def tensorDotDynamic[T](a: Output[T], b: Output[T], numAxes: Output[Int], name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  223. def tensorDotDynamic[T](a: Output[T], b: Output[T], numAxes: Output[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @throws( ... )
  224. def toString(): String
    Definition Classes
    AnyRef → Any
  225. def trace[T](input: Output[T], name: String = "Trace")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[T]
  226. def transposeConjugateToAdjoint[T](tensor: Output[T], transpose: Boolean, conj: Boolean)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Boolean)
    Attributes
    protected
  227. def transposeConjugateToTranspose[T](tensor: Output[T], transpose: Boolean, conj: Boolean)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Boolean)
    Attributes
    protected
  228. def truncateDivide[T](x: Output[T], y: Output[T], name: String = "TruncateDivide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  229. def truncateMod[T](x: Output[T], y: Output[T], name: String = "TruncateMod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
  230. def unsortedSegmentMax[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentMax")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
  231. def unsortedSegmentMean[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentMean")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
  232. def unsortedSegmentMin[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentMin")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
  233. def unsortedSegmentMinOrMaxGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[I2])
    Attributes
    protected
  234. def unsortedSegmentN[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
    Attributes
    protected
  235. def unsortedSegmentProd[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentProd")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
  236. def unsortedSegmentProdGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[I2])
    Attributes
    protected
  237. def unsortedSegmentSqrtN[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentSqrtN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
  238. def unsortedSegmentSum[T, I1, I2](data: Output[T], segmentIndices: Output[I1], segmentsNumber: Output[I2], name: String = "UnsortedSegmentSum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): Output[T]
  239. def unsortedSegmentSumGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[I2])
    Attributes
    protected
  240. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  241. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  242. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  243. def zerosFraction[T](input: Output[T], name: String = "ZerosFraction")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Float]
  244. def zeta[T](x: Output[T], q: Output[T], name: String = "Zeta")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): Output[T]
  245. def zetaGradient[T](op: Op[(Output[T], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (Output[T], Output[T])
    Attributes
    protected

Deprecated Value Members

  1. def floorDivide[T](x: Output[T], y: Output[T], name: String = "FloorDivide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Output[T]
    Annotations
    @deprecated
    Deprecated

    (Since version 0.1) Use truncateDivide instead.

Inherited from AnyRef

Inherited from Any

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