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1.  final def !=(arg0: Any): Boolean

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2.  final def ##: Int

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3.  final def ==(arg0: Any): Boolean

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4.  val AbortedException: core.exception.AbortedException.type

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5.  val AlreadyExistsException: core.exception.AlreadyExistsException.type

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6.  val CancelledException: core.exception.CancelledException.type

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7.  val CheckpointNotFoundException: core.exception.CheckpointNotFoundException.type

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8.  val DataLossException: core.exception.DataLossException.type

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9.  val DeadlineExceededException: core.exception.DeadlineExceededException.type

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10.  val FailedPreconditionException: core.exception.FailedPreconditionException.type

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11.  val GraphMismatchException: core.exception.GraphMismatchException.type

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12.  val IllegalNameException: core.exception.IllegalNameException.type

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13.  val InternalException: core.exception.InternalException.type

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14.  val InvalidArgumentException: core.exception.InvalidArgumentException.type

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15.  val InvalidDataTypeException: core.exception.InvalidDataTypeException.type

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16.  val InvalidDeviceException: core.exception.InvalidDeviceException.type

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17.  val InvalidIndexerException: core.exception.InvalidIndexerException.type

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18.  val InvalidShapeException: core.exception.InvalidShapeException.type

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19.  val NotFoundException: core.exception.NotFoundException.type

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20.  val OpBuilderUsedException: core.exception.OpBuilderUsedException.type

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21.  val OutOfRangeException: core.exception.OutOfRangeException.type

    Definition Classes

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22.  val PermissionDeniedException: core.exception.PermissionDeniedException.type

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23.  val ResourceExhaustedException: core.exception.ResourceExhaustedException.type

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24.  val ShapeMismatchException: core.exception.ShapeMismatchException.type

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25.  val Timeline: core.client.Timeline.type

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26.  val UnauthenticatedException: core.exception.UnauthenticatedException.type

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27.  val UnavailableException: core.exception.UnavailableException.type

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28.  val UnimplementedException: core.exception.UnimplementedException.type

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29.  val UnknownException: core.exception.UnknownException.type

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30.  def abs[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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31.  def acos[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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32.  def acosh[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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33.  def add[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

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34.  def addBias[T](value: tensors.Tensor[T], bias: tensors.Tensor[T], cNNDataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

    Definition Classes

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35.  def addN[T](inputs: Seq[tensors.Tensor[T]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

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36.  def all[I](input: tensors.Tensor[Boolean], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[Boolean]

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37.  def angleDouble[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexDouble], name: String = "Angle")(implicit ev: Aux[TL, core.types.ComplexDouble]): TL[Double]

    Definition Classes

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38.  def angleFloat[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexFloat], name: String = "Angle")(implicit ev: Aux[TL, core.types.ComplexFloat]): TL[Float]

    Definition Classes

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39.  def any[I](input: tensors.Tensor[Boolean], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[Boolean]

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40.  def approximatelyEqual[T](x: tensors.Tensor[T], y: tensors.Tensor[T], tolerance: Float = 0.00001f)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Boolean]

    Definition Classes

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41.  def argmax[T, I, IR](input: tensors.Tensor[T], axes: tensors.Tensor[I], outputDataType: core.types.DataType[IR])(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[IR], arg5: core.types.IsIntOrLong[IR]): tensors.Tensor[IR]

    Definition Classes

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42.  def argmax[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[Long]

    Definition Classes

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43.  def argmin[T, I, IR](input: tensors.Tensor[T], axes: tensors.Tensor[I], outputDataType: core.types.DataType[IR])(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[IR], arg5: core.types.IsIntOrLong[IR]): tensors.Tensor[IR]

    Definition Classes

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44.  def argmin[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[Long]

    Definition Classes

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45.  final def asInstanceOf[T0]: T0

    Definition Classes

    Any

46.  def asin[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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47.  def asinh[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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48.  def atan[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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49.  def atan2[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): tensors.Tensor[T]

    Definition Classes

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50.  def atanh[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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51.  def batchToSpace[T, I](input: tensors.Tensor[T], blockSize: Int, crops: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

    Definition Classes

    Basic

52.  def batchToSpaceND[T, I1, I2](input: tensors.Tensor[T], blockShape: tensors.Tensor[I1], crops: tensors.Tensor[I2])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): tensors.Tensor[T]

    Definition Classes

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53.  def binCount[T](input: tensors.Tensor[Int], dataType: core.types.DataType[T], weights: tensors.Tensor[T] = null, minLength: tensors.Tensor[Int] = null, maxLength: tensors.Tensor[Int] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLongOrFloatOrDouble[T]): tensors.Tensor[T]

    Definition Classes

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54.  def booleanMask[T](input: tensors.Tensor[T], mask: tensors.Tensor[Boolean])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

    Definition Classes

    Basic

55.  def bucketize[T](input: tensors.Tensor[T], boundaries: Seq[Float])(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLongOrFloatOrDouble[T]): tensors.Tensor[T]

    Definition Classes

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56.  def ceil[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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57.  def checkNumerics[T](input: tensors.Tensor[T], message: String = "")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

    Definition Classes

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58.  def clone(): AnyRef

    Attributes

    protected[lang]

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    AnyRef

    Annotations

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

59.  def complexDouble(real: tensors.Tensor[Double], imag: tensors.Tensor[Double]): tensors.Tensor[core.types.ComplexDouble]

    Definition Classes

    Math

60.  def complexFloat(real: tensors.Tensor[Float], imag: tensors.Tensor[Float]): tensors.Tensor[core.types.ComplexFloat]

    Definition Classes

    Math

61.  def concatenate[T](inputs: Seq[tensors.Tensor[T]], axis: tensors.Tensor[Int] = 0)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

    Definition Classes

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62.  def conjugate[T, TL[A] <: tensors.TensorLike[A]](input: TL[T])(implicit arg0: core.types.TF[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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63.  def conv2D[T](input: tensors.Tensor[T], filter: tensors.Tensor[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

    Definition Classes

    NN

64.  def conv2DBackpropFilter[T](input: tensors.Tensor[T], filterSizes: tensors.Tensor[Int], outputGradient: tensors.Tensor[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

    Definition Classes

    NN

65.  def conv2DBackpropInput[T](inputSizes: tensors.Tensor[Int], filter: tensors.Tensor[T], outputGradient: tensors.Tensor[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

    Definition Classes

    NN

66.  def cos[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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67.  def cosh[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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68.  def countNonZero[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[Long]

    Definition Classes

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69.  def crelu[T](x: tensors.Tensor[T], axis: tensors.Tensor[Int] = -1)(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): tensors.Tensor[T]

    Definition Classes

    NN

70.  def cross[T](a: tensors.Tensor[T], b: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): tensors.Tensor[T]

    Definition Classes

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71.  def cumprod[T, I](input: tensors.Tensor[T], axis: tensors.Tensor[I], exclusive: Boolean = false, reverse: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

    Definition Classes

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72.  def cumsum[T, I](input: tensors.Tensor[T], axis: tensors.Tensor[I], exclusive: Boolean = false, reverse: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

    Definition Classes

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73.  def depthToSpace[T](input: tensors.Tensor[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

    Definition Classes

    Basic

74.  def diag[T](diagonal: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

    Definition Classes

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75.  def diagPart[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

    Definition Classes

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76.  def digamma[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

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77.  def divide[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

    Definition Classes

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78.  def dropout[T, I](input: tensors.Tensor[T], keepProbability: Float, scaleOutput: Boolean = true, noiseShape: tensors.Tensor[I] = null, seed: Option[Int] = None)(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[T]

    Definition Classes

    NN

79.  def editDistance[T](hypothesis: tensors.SparseTensor[T], truth: tensors.SparseTensor[T], normalize: Boolean = true)(implicit arg0: core.types.TF[T]): tensors.Tensor[Float]

    Definition Classes

    Basic

80.  def elu[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

    NN

81.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

82.  def equal[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[Boolean]

    Definition Classes

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83.  def equals(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef → Any

84.  def erf[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

    Math

85.  def erfc[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

    Math

86.  def exp[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

    Math

87.  def expandDims[T, I](input: tensors.Tensor[T], axis: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

    Definition Classes

    Basic

88.  def expm1[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

    Math

89.  def floor[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[TL, T]): TL[T]

    Definition Classes

    Math

90.  def floorMod[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

    Definition Classes

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91.  def gather[T, I1, I2](input: tensors.Tensor[T], indices: tensors.Tensor[I1], axis: tensors.Tensor[I2])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): tensors.Tensor[T]

    Definition Classes

    Basic

92.  def gather[T, I1](input: tensors.Tensor[T], indices: tensors.Tensor[I1])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1]): tensors.Tensor[T]

    Definition Classes

    Basic

93.  def gatherND[T, I](input: tensors.Tensor[T], indices: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

    Definition Classes

    Basic

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

    Definition Classes

    AnyRef → Any

    Annotations

    @native() @HotSpotIntrinsicCandidate()

95.  def greater[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Boolean]

    Definition Classes

    Math

96.  def greaterEqual[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Boolean]

    Definition Classes

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97.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native() @HotSpotIntrinsicCandidate()

98.  def igamma[T](a: tensors.Tensor[T], x: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): tensors.Tensor[T]

    Definition Classes

    Math

99.  def igammac[T](a: tensors.Tensor[T], x: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): tensors.Tensor[T]

    Definition Classes

    Math

100.  def imagDouble[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexDouble], name: String = "Imag")(implicit ev: Aux[TL, core.types.ComplexDouble]): TL[Double]

     Definition Classes

     Math

101.  def imagFloat[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexFloat], name: String = "Imag")(implicit ev: Aux[TL, core.types.ComplexFloat]): TL[Float]

     Definition Classes

     Math

102.  def inTopK[I](predictions: tensors.Tensor[Float], targets: tensors.Tensor[I], k: tensors.Tensor[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): tensors.Tensor[Boolean]

     Definition Classes

     NN

103.  def incompleteBeta[T](a: tensors.Tensor[T], b: tensors.Tensor[T], x: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): tensors.Tensor[T]

     Definition Classes

     Math

104.  def indexedSlicesMask[T](input: tensors.TensorIndexedSlices[T], maskIndices: tensors.Tensor[Int])(implicit arg0: core.types.TF[T]): tensors.TensorIndexedSlices[T]

     Definition Classes

     Basic

     Annotations

     @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])

105.  def invertPermutation[I](input: tensors.Tensor[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): tensors.Tensor[I]

     Definition Classes

     Basic

106.  def isFinite[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[TL, T]): TL[Boolean]

     Definition Classes

     Math

107.  def isInf[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[TL, T]): TL[Boolean]

     Definition Classes

     Math

108.  final def isInstanceOf[T0]: Boolean

     Definition Classes

     Any

109.  def isNaN[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[TL, T]): TL[Boolean]

     Definition Classes

     Math

110.  def l2Loss[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

     Definition Classes

     NN

111.  def l2Normalize[T](x: tensors.Tensor[T], axes: tensors.Tensor[Int], epsilon: Float = 1e-12f)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     NN

112.  def less[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Boolean]

     Definition Classes

     Math

113.  def lessEqual[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Boolean]

     Definition Classes

     Math

114.  def linear[T](x: tensors.Tensor[T], weights: tensors.Tensor[T], bias: tensors.Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     NN

115.  def linspace[T, I](start: tensors.Tensor[T], stop: tensors.Tensor[T], numberOfValues: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrFloatOrDouble[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

116.  def listDiff[T, I](x: tensors.Tensor[T], y: tensors.Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (tensors.Tensor[T], tensors.Tensor[I])

     Definition Classes

     Basic

117.  def localResponseNormalization[T](input: tensors.Tensor[T], depthRadius: Int = 5, bias: Float = 1.0f, alpha: Float = 1.0f, beta: Float = 0.5f)(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrHalfOrFloat[T]): tensors.Tensor[T]

     Definition Classes

     NN

118.  def log[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

119.  def log1p[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

120.  def logGamma[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

121.  def logPoissonLoss[T](logPredictions: tensors.Tensor[T], targets: tensors.Tensor[T], computeFullLoss: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

     Definition Classes

     NN

122.  def logSigmoid[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

123.  def logSoftmax[T](logits: tensors.Tensor[T], axis: Int = -1)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

     Definition Classes

     NN

124.  def logSumExp[T](input: tensors.Tensor[T], axes: Seq[Int] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

125.  def logicalAnd(x: tensors.Tensor[Boolean], y: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]

     Definition Classes

     Math

126.  def logicalNot(x: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]

     Definition Classes

     Math

127.  def logicalOr(x: tensors.Tensor[Boolean], y: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]

     Definition Classes

     Math

128.  def logicalXOr(x: tensors.Tensor[Boolean], y: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]

     Definition Classes

     Math

129.  def lrn[T](input: tensors.Tensor[T], depthRadius: Int = 5, bias: Float = 1.0f, alpha: Float = 1.0f, beta: Float = 0.5f)(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrHalfOrFloat[T]): tensors.Tensor[T]

     Definition Classes

     NN

130.  def magnitudeDouble[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexDouble], name: String = "Magnitude")(implicit ev: Aux[TL, core.types.ComplexDouble]): TL[Double]

     Definition Classes

     Math

131.  def magnitudeFloat[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexFloat], name: String = "Magnitude")(implicit ev: Aux[TL, core.types.ComplexFloat]): TL[Float]

     Definition Classes

     Math

132.  def matmul[T](a: tensors.Tensor[T], b: tensors.Tensor[T], transposeA: Boolean = false, transposeB: Boolean = false, conjugateA: Boolean = false, conjugateB: Boolean = false, aIsSparse: Boolean = false, bIsSparse: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

133.  def matrixBandPart[T, I](input: tensors.Tensor[T], numSubDiagonals: tensors.Tensor[I], numSuperDiagonals: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

134.  def matrixDiag[T](diagonal: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Math

135.  def matrixDiagPart[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Math

136.  def matrixSetDiag[T](input: tensors.Tensor[T], diagonal: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Math

137.  def matrixTranspose[T](input: tensors.Tensor[T], conjugate: Boolean = false)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

     Annotations

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

138.  def max[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

139.  def maxPool[T](input: tensors.Tensor[T], windowSize: Seq[Int], stride1: Int, stride2: Int, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

     Definition Classes

     NN

140.  def maxPoolGrad[T](originalInput: tensors.Tensor[T], originalOutput: tensors.Tensor[T], outputGradient: tensors.Tensor[T], windowSize: Seq[Int], stride1: Int, stride2: Int, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

     Definition Classes

     NN

141.  def maxPoolGradGrad[T](originalInput: tensors.Tensor[T], originalOutput: tensors.Tensor[T], outputGradient: tensors.Tensor[T], windowSize: Seq[Int], stride1: Int, stride2: Int, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

     Definition Classes

     NN

142.  def maximum[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

143.  def mean[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

144.  def min[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

145.  def minimum[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

146.  def mod[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

147.  def multiply[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

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

     Definition Classes

     AnyRef

149.  def negate[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

150.  def notEqual[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[Boolean]

     Definition Classes

     Math

151.  final def notify(): Unit

     Definition Classes

     AnyRef

     Annotations

     @native() @HotSpotIntrinsicCandidate()

152.  final def notifyAll(): Unit

     Definition Classes

     AnyRef

     Annotations

     @native() @HotSpotIntrinsicCandidate()

153.  def pad[T, I](input: tensors.Tensor[T], paddings: tensors.Tensor[I], mode: ops.basic.Basic.PaddingMode = ConstantPadding(Some(Tensor(0))))(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Basic

154.  def parallelStack[T](inputs: Seq[tensors.Tensor[T]])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

155.  def polygamma[T](n: tensors.Tensor[T], x: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): tensors.Tensor[T]

     Definition Classes

     Math

156.  def pow[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

157.  def preventGradient[T](input: tensors.Tensor[T], message: String = "")(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

158.  def prod[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

159.  def randomShuffle[T](value: tensors.Tensor[T], seed: Option[Int] = None)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Random

160.  def range[T](start: tensors.Tensor[T], limit: tensors.Tensor[T], delta: tensors.Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

     Definition Classes

     Math

161.  def rank[T <: tensors.TensorLike[_]](input: T): tensors.Tensor[Int]

     Definition Classes

     Basic

162.  def realDivide[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

163.  def realDouble[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexDouble], name: String = "Real")(implicit ev: Aux[TL, core.types.ComplexDouble]): TL[Double]

     Definition Classes

     Math

164.  def realFloat[TL[A] <: tensors.TensorLike[A]](input: TL[core.types.ComplexFloat], name: String = "Real")(implicit ev: Aux[TL, core.types.ComplexFloat]): TL[Float]

     Definition Classes

     Math

165.  def reciprocal[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

166.  def relu[T](x: tensors.Tensor[T], alpha: Float = 0.0f)(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): tensors.Tensor[T]

     Definition Classes

     NN

167.  def relu6[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     NN

168.  def requiredSpaceToBatchPaddingsAndCrops(inputShape: tensors.Tensor[Int], blockShape: tensors.Tensor[Int], basePaddings: tensors.Tensor[Int] = null): (tensors.Tensor[Int], tensors.Tensor[Int])

     Definition Classes

     Basic

     Annotations

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

169.  def reshape[T, I](input: tensors.Tensor[T], shape: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Basic

170.  def reverse[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Basic

171.  def reverseSequence[T, I](input: tensors.Tensor[T], sequenceLengths: tensors.Tensor[I], sequenceAxis: Int, batchAxis: Int = 0)(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Basic

172.  def round[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

173.  def roundInt[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

174.  def rsqrt[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

175.  def scalarMul[T, TL[A] <: tensors.TensorLike[A]](scalar: tensors.Tensor[T], tensor: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

176.  def scatterND[T, I](indices: tensors.Tensor[I], updates: tensors.Tensor[T], shape: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Basic

177.  def segmentMax[T, I](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

178.  def segmentMean[T, I](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

179.  def segmentMin[T, I](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

180.  def segmentProd[T, I](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

181.  def segmentSum[T, I](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Math

182.  def select[T](condition: tensors.Tensor[Boolean], x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Math

183.  def selu[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     NN

184.  def sequenceLoss[T, I](logits: tensors.Tensor[T], labels: tensors.Tensor[I], weights: tensors.Tensor[T] = null, averageAcrossTimeSteps: Boolean = true, averageAcrossBatch: Boolean = true, lossFn: (tensors.Tensor[T], tensors.Tensor[I]) => tensors.Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     NN

     Annotations

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

185.  def sequenceMask[T](lengths: tensors.Tensor[T], maxLength: tensors.Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): tensors.Tensor[Boolean]

     Definition Classes

     Basic

     Annotations

     @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])

186.  def shape[T <: tensors.TensorLike[_]](input: T): tensors.Tensor[Int]

     Definition Classes

     Basic

187.  def shapeN(inputs: Seq[tensors.Tensor[_]]): Seq[tensors.Tensor[Int]]

     Definition Classes

     Basic

188.  def sigmoid[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

189.  def sigmoidCrossEntropy[T](logits: tensors.Tensor[T], labels: tensors.Tensor[T], weights: tensors.Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

     Definition Classes

     NN

190.  def sign[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

191.  def sin[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

192.  def sinh[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

193.  def size[T <: tensors.TensorLike[_]](input: T): tensors.Tensor[Long]

     Definition Classes

     Basic

194.  def softmax[T](logits: tensors.Tensor[T], axis: Int = -1)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

     Definition Classes

     NN

195.  def softmaxCrossEntropy[T](logits: tensors.Tensor[T], labels: tensors.Tensor[T], axis: Int = -1)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]

     Definition Classes

     NN

196.  def softplus[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     NN

197.  def softsign[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): tensors.Tensor[T]

     Definition Classes

     NN

198.  def spaceToBatch[T, I](input: tensors.Tensor[T], blockSize: Int, paddings: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     Basic

199.  def spaceToBatchND[T, I1, I2](input: tensors.Tensor[T], blockShape: tensors.Tensor[I1], paddings: tensors.Tensor[I2])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): tensors.Tensor[T]

     Definition Classes

     Basic

200.  def spaceToDepth[T](input: tensors.Tensor[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

201.  def sparseSegmentMean[T, I1, I2](data: tensors.Tensor[T], indices: tensors.Tensor[I1], segmentIndices: tensors.Tensor[Int], numSegments: tensors.Tensor[I2] = null)(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]): tensors.Tensor[T]

     Definition Classes

     Math

202.  def sparseSegmentSum[T, I1, I2](data: tensors.Tensor[T], indices: tensors.Tensor[I1], segmentIndices: tensors.Tensor[Int], numSegments: tensors.Tensor[I2] = null)(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]): tensors.Tensor[T]

     Definition Classes

     Math

203.  def sparseSegmentSumSqrtN[T, I1, I2](data: tensors.Tensor[T], indices: tensors.Tensor[I1], segmentIndices: tensors.Tensor[Int], numSegments: tensors.Tensor[I2] = null)(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]): tensors.Tensor[T]

     Definition Classes

     Math

204.  def sparseSoftmaxCrossEntropy[T, I](logits: tensors.Tensor[T], labels: tensors.Tensor[I], axis: Int = -1)(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

     NN

205.  def split[T, I](input: tensors.Tensor[T], splitSizes: tensors.Tensor[I], axis: tensors.Tensor[Int] = 0)(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Seq[tensors.Tensor[T]]

     Definition Classes

     Basic

206.  def splitEvenly[T](input: tensors.Tensor[T], numSplits: Int, axis: tensors.Tensor[Int] = 0)(implicit arg0: core.types.TF[T]): Seq[tensors.Tensor[T]]

     Definition Classes

     Basic

207.  def sqrt[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

208.  def square[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

     Definition Classes

     Math

209.  def squaredDifference[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

210.  def squeeze[T](input: tensors.Tensor[T], axes: Seq[Int] = null)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

211.  def stack[T](inputs: Seq[tensors.Tensor[T]], axis: Int = 0)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

212.  def stopGradient[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]

     Definition Classes

     Basic

213.  def subtract[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

     Math

214.  def sum[T, I](input: tensors.Tensor[T], axes: tensors.Tensor[I] = null, keepDims: Boolean = false)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): tensors.Tensor[T]

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

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216.  def tan[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

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217.  def tanh[T, TL[A] <: tensors.TensorLike[A]](x: TL[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[TL, T]): TL[T]

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218.  def tensorDot[T](a: tensors.Tensor[T], b: tensors.Tensor[T], axesA: tensors.Tensor[Int], axesB: tensors.Tensor[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

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

219.  def tensorDot[T](a: tensors.Tensor[T], b: tensors.Tensor[T], numAxes: tensors.Tensor[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

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

220.  def tile[T, I](input: tensors.Tensor[T], multiples: tensors.Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

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221.  def toString(): String

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     AnyRef → Any

222.  def topK[T](input: tensors.Tensor[T], k: tensors.Tensor[Int] = 1, sorted: Boolean = true)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (tensors.Tensor[T], tensors.Tensor[Int])

     Definition Classes

     NN

223.  def trace[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]

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224.  def transpose[T, I](input: tensors.Tensor[T], permutation: tensors.Tensor[I] = null, conjugate: Boolean = false)(implicit arg0: core.types.TF[T], arg1: IntDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): tensors.Tensor[T]

     Definition Classes

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225.  def truncateDivide[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

     Definition Classes

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226.  def truncateMod[T](x: tensors.Tensor[T], y: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]

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227.  def unique[T, I](input: tensors.Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (tensors.Tensor[T], tensors.Tensor[I])

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228.  def uniqueWithCounts[T, I](input: tensors.Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (tensors.Tensor[T], tensors.Tensor[I], tensors.Tensor[I])

     Definition Classes

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229.  def unsortedSegmentMax[T, I1, I2](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I1], segmentsNumber: tensors.Tensor[I2])(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]): tensors.Tensor[T]

     Definition Classes

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230.  def unsortedSegmentSum[T, I1, I2](data: tensors.Tensor[T], segmentIndices: tensors.Tensor[I1], segmentsNumber: tensors.Tensor[I2])(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]): tensors.Tensor[T]

     Definition Classes

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231.  def unstack[T](input: tensors.Tensor[T], number: Int = -1, axis: Int = 0)(implicit arg0: core.types.TF[T]): Seq[tensors.Tensor[T]]

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

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

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

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

234.  final def wait(): Unit

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

235.  def where[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsBooleanOrNumeric[T]): tensors.Tensor[Long]

     Definition Classes

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236.  def zerosFraction[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Float]

     Definition Classes

     Math

237.  def zeta[T](x: tensors.Tensor[T], q: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): tensors.Tensor[T]

     Definition Classes

     Math