Value Members

1.  final def !=(arg0: Any): Boolean

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   AnyRef → Any

2.  final def ##: Int

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3.  final def ==(arg0: Any): Boolean

   Definition Classes

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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]

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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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

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

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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]

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    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])

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    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

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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

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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]

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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

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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

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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]

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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])

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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[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()

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

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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

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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

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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

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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

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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

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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]): Output[Boolean]
67.  def equals(arg0: AnyRef): 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]

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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]

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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

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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

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76.  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]
77.  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]
78.  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

79.  final def getClass(): Class[_ <: AnyRef]

    Definition Classes

    AnyRef → Any

    Annotations

    @native() @HotSpotIntrinsicCandidate()

80.  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]
81.  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]
82.  def hashCode(): Int

    Definition Classes

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    Annotations

    @native() @HotSpotIntrinsicCandidate()

83.  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]
84.  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

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85.  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]
86.  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

87.  def imagDouble[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Imag")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
88.  def imagDoubleGradient(op: Op[Output[core.types.ComplexDouble], Output[Double]], outputGradient: Output[Double]): Output[core.types.ComplexDouble]

    Attributes

    protected

89.  def imagFloat[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Imag")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
90.  def imagFloatGradient(op: Op[Output[core.types.ComplexFloat], Output[Float]], outputGradient: Output[Float]): Output[core.types.ComplexFloat]

    Attributes

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91.  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]
92.  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

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93.  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]
94.  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]
95.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

96.  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]
97.  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]
98.  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]
99.  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]
100.  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]
101.  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]
102.  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]

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103.  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]
104.  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

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105.  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

106.  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]
107.  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]
108.  def logicalAnd(x: Output[Boolean], y: Output[Boolean], name: String = "LogicalAnd"): Output[Boolean]
109.  def logicalNot(x: Output[Boolean], name: String = "LogicalNot"): Output[Boolean]
110.  def logicalOr(x: Output[Boolean], y: Output[Boolean], name: String = "LogicalOr"): Output[Boolean]
111.  def logicalXOr(x: Output[Boolean], y: Output[Boolean], name: String = "LogicalXOr"): Output[Boolean]
112.  def magnitudeDouble[OL[A] <: OutputLike[A]](x: OL[core.types.ComplexDouble], name: String = "Magnitude")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
113.  def magnitudeDoubleGradient(op: Op[Output[core.types.ComplexDouble], Output[Double]], outputGradient: Output[Double]): Output[core.types.ComplexDouble]

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114.  def magnitudeFloat[OL[A] <: OutputLike[A]](x: OL[core.types.ComplexFloat], name: String = "Magnitude")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
115.  def magnitudeFloatGradient(op: Op[Output[core.types.ComplexFloat], Output[Float]], outputGradient: Output[Float]): Output[core.types.ComplexFloat]

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116.  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]
117.  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])

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118.  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]
119.  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])

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120.  def matrixDiag[T](diagonal: Output[T], name: String = "MatrixDiag")(implicit arg0: core.types.TF[T]): Output[T]
121.  def matrixDiagGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]

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122.  def matrixDiagPart[T](input: Output[T], name: String = "MatrixDiagPart")(implicit arg0: core.types.TF[T]): Output[T]
123.  def matrixDiagPartGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]

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124.  def matrixSetDiag[T](input: Output[T], diagonal: Output[T], name: String = "MatrixSetDiag")(implicit arg0: core.types.TF[T]): Output[T]
125.  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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126.  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]
127.  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]
128.  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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129.  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]
130.  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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131.  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]
132.  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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133.  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]
134.  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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135.  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]
136.  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]
137.  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])

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138.  final def ne(arg0: AnyRef): Boolean

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139.  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]
140.  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]

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141.  def notEqual[T](x: Output[T], y: Output[T], name: String = "NotEqual")(implicit arg0: core.types.TF[T]): Output[Boolean]
142.  final def notify(): Unit

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     @native() @HotSpotIntrinsicCandidate()

143.  final def notifyAll(): Unit

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     @native() @HotSpotIntrinsicCandidate()

144.  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]
145.  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])

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146.  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]
147.  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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148.  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]
149.  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])
150.  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]
151.  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]
152.  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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153.  def realDouble[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Real")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
154.  def realDoubleGradient(op: Op[Output[core.types.ComplexDouble], Output[Double]], outputGradient: Output[Double]): Output[core.types.ComplexDouble]

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155.  def realFloat[OL[A] <: OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Real")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
156.  def realFloatGradient(op: Op[Output[core.types.ComplexFloat], Output[Float]], outputGradient: Output[Float]): Output[core.types.ComplexFloat]

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157.  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]
158.  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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159.  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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160.  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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161.  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]
162.  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]
163.  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]
164.  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]

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165.  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])

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166.  def safeShapeDiv(x: Output[Int], y: Output[Int]): Output[Int]

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167.  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]
168.  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]
169.  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]
170.  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])

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171.  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]
172.  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])

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173.  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]
174.  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]
175.  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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176.  def select[T](condition: Output[Boolean], x: Output[T], y: Output[T], name: String = "Select")(implicit arg0: core.types.TF[T]): Output[T]
177.  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])

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178.  def shapeFullySpecifiedAndEqual[T](x: Output[T], y: Output[T], gradient: Output[T])(implicit arg0: core.types.TF[T]): Boolean

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179.  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]
180.  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]

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181.  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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182.  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]
183.  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]

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184.  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]
185.  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]

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186.  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]
187.  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]

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188.  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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189.  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]
190.  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])

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191.  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])

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192.  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]
193.  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])

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194.  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]
195.  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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196.  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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197.  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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198.  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]
199.  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]

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200.  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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201.  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]
202.  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]

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203.  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]
204.  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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205.  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]
206.  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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207.  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]
208.  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])

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209.  final def synchronized[T0](arg0: => T0): T0

     Definition Classes

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210.  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]
211.  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]

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     protected

212.  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]
213.  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]

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     protected

214.  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])

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     protected

215.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

216.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

217.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

218.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

219.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

220.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

221.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

222.  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(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])

223.  def toString(): String

     Definition Classes

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224.  def trace[T](input: Output[T], name: String = "Trace")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[T]
225.  def transposeConjugateToAdjoint[T](tensor: Output[T], transpose: Boolean, conj: Boolean)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Boolean)

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226.  def transposeConjugateToTranspose[T](tensor: Output[T], transpose: Boolean, conj: Boolean)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (Output[T], Boolean)

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     protected

227.  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]
228.  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]
229.  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]
230.  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]
231.  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]
232.  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])

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233.  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]

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     protected

234.  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]
235.  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

236.  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]
237.  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]
238.  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

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

     Definition Classes

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     Annotations

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

240.  final def wait(arg0: Long): Unit

     Definition Classes

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     Annotations

     @throws(classOf[java.lang.InterruptedException]) @native()

241.  final def wait(): Unit

     Definition Classes

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     Annotations

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

242.  def zerosFraction[T](input: Output[T], name: String = "ZerosFraction")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[Float]
243.  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]
244.  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

245.  object bitwise extends Bitwise