Packages

object tfi extends API with API

Linear Supertypes
API, API, Random, NN, Math, Cast, Basic, API, AnyRef, Any
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  1. tfi
  2. API
  3. API
  4. Random
  5. NN
  6. Math
  7. Cast
  8. Basic
  9. API
  10. AnyRef
  11. Any
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Type Members

  1. type AbortedException = jni.AbortedException
    Definition Classes
    API
  2. type AlreadyExistsException = jni.AlreadyExistsException
    Definition Classes
    API
  3. type CancelledException = jni.CancelledException
    Definition Classes
    API
  4. type CheckpointNotFoundException = core.exception.CheckpointNotFoundException
    Definition Classes
    API
  5. type DataLossException = jni.DataLossException
    Definition Classes
    API
  6. type DeadlineExceededException = jni.DeadlineExceededException
    Definition Classes
    API
  7. type DeviceSpecification = core.DeviceSpecification
    Definition Classes
    API
  8. type FailedPreconditionException = jni.FailedPreconditionException
    Definition Classes
    API
  9. type GraphMismatchException = core.exception.GraphMismatchException
    Definition Classes
    API
  10. type IllegalNameException = core.exception.IllegalNameException
    Definition Classes
    API
  11. type InternalException = jni.InternalException
    Definition Classes
    API
  12. type InvalidArgumentException = jni.InvalidArgumentException
    Definition Classes
    API
  13. type InvalidDataTypeException = core.exception.InvalidDataTypeException
    Definition Classes
    API
  14. type InvalidDeviceException = core.exception.InvalidDeviceException
    Definition Classes
    API
  15. type InvalidIndexerException = core.exception.InvalidIndexerException
    Definition Classes
    API
  16. type InvalidShapeException = core.exception.InvalidShapeException
    Definition Classes
    API
  17. type NotFoundException = jni.NotFoundException
    Definition Classes
    API
  18. type OpBuilderUsedException = core.exception.OpBuilderUsedException
    Definition Classes
    API
  19. type OutOfRangeException = jni.OutOfRangeException
    Definition Classes
    API
  20. type PermissionDeniedException = jni.PermissionDeniedException
    Definition Classes
    API
  21. type ResourceExhaustedException = jni.ResourceExhaustedException
    Definition Classes
    API
  22. type ShapeMismatchException = core.exception.ShapeMismatchException
    Definition Classes
    API
  23. type UnauthenticatedException = jni.UnauthenticatedException
    Definition Classes
    API
  24. type UnavailableException = jni.UnavailableException
    Definition Classes
    API
  25. type UnimplementedException = jni.UnimplementedException
    Definition Classes
    API
  26. type UnknownException = jni.UnknownException
    Definition Classes
    API

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val AbortedException: core.exception.AbortedException.type
    Definition Classes
    API
  5. val AlreadyExistsException: core.exception.AlreadyExistsException.type
    Definition Classes
    API
  6. val CancelledException: core.exception.CancelledException.type
    Definition Classes
    API
  7. val CheckpointNotFoundException: core.exception.CheckpointNotFoundException.type
    Definition Classes
    API
  8. val DataLossException: core.exception.DataLossException.type
    Definition Classes
    API
  9. val DeadlineExceededException: core.exception.DeadlineExceededException.type
    Definition Classes
    API
  10. val FailedPreconditionException: core.exception.FailedPreconditionException.type
    Definition Classes
    API
  11. val GraphMismatchException: core.exception.GraphMismatchException.type
    Definition Classes
    API
  12. val IllegalNameException: core.exception.IllegalNameException.type
    Definition Classes
    API
  13. val InternalException: core.exception.InternalException.type
    Definition Classes
    API
  14. val InvalidArgumentException: core.exception.InvalidArgumentException.type
    Definition Classes
    API
  15. val InvalidDataTypeException: core.exception.InvalidDataTypeException.type
    Definition Classes
    API
  16. val InvalidDeviceException: core.exception.InvalidDeviceException.type
    Definition Classes
    API
  17. val InvalidIndexerException: core.exception.InvalidIndexerException.type
    Definition Classes
    API
  18. val InvalidShapeException: core.exception.InvalidShapeException.type
    Definition Classes
    API
  19. val NotFoundException: core.exception.NotFoundException.type
    Definition Classes
    API
  20. val OpBuilderUsedException: core.exception.OpBuilderUsedException.type
    Definition Classes
    API
  21. val OutOfRangeException: core.exception.OutOfRangeException.type
    Definition Classes
    API
  22. val PermissionDeniedException: core.exception.PermissionDeniedException.type
    Definition Classes
    API
  23. val ResourceExhaustedException: core.exception.ResourceExhaustedException.type
    Definition Classes
    API
  24. val ShapeMismatchException: core.exception.ShapeMismatchException.type
    Definition Classes
    API
  25. val Timeline: core.client.Timeline.type
    Definition Classes
    API
  26. val UnauthenticatedException: core.exception.UnauthenticatedException.type
    Definition Classes
    API
  27. val UnavailableException: core.exception.UnavailableException.type
    Definition Classes
    API
  28. val UnimplementedException: core.exception.UnimplementedException.type
    Definition Classes
    API
  29. val UnknownException: core.exception.UnknownException.type
    Definition Classes
    API
  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
    Math
  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
    Math
  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
    Math
  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]
    Definition Classes
    Math
  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
    NN
  35. def addN[T](inputs: Seq[tensors.Tensor[T]])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]
    Definition Classes
    Math
  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]
    Definition Classes
    Math
  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
    Math
  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
    Math
  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]
    Definition Classes
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Basic
  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
    Math
  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
    Math
  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
    Math
  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
    Basic
  58. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  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
    Basic
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  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
    Math
  75. def diagPart[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): tensors.Tensor[T]
    Definition Classes
    Math
  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
    Math
  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
    Math
  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], arg1: core.types.IsNumeric[T]): tensors.Tensor[Boolean]
    Definition Classes
    Math
  83. def equals(arg0: Any): 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 finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  90. 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
  91. 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
    Math
  92. 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
  93. 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
  94. 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
  95. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  96. 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
  97. 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
    Math
  98. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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( ... )
  106. def invertPermutation[I](input: tensors.Tensor[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): tensors.Tensor[I]
    Definition Classes
    Basic
  107. 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
  108. 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
  109. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  110. 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
  111. def l2Loss[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): tensors.Tensor[T]
    Definition Classes
    NN
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
  124. 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
  125. 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
  126. def logicalAnd(x: tensors.Tensor[Boolean], y: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]
    Definition Classes
    Math
  127. def logicalNot(x: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]
    Definition Classes
    Math
  128. def logicalOr(x: tensors.Tensor[Boolean], y: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]
    Definition Classes
    Math
  129. def logicalXOr(x: tensors.Tensor[Boolean], y: tensors.Tensor[Boolean]): tensors.Tensor[Boolean]
    Definition Classes
    Math
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. def matrixDiag[T](diagonal: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Math
  136. def matrixDiagPart[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Math
  137. def matrixSetDiag[T](input: tensors.Tensor[T], diagonal: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Math
  138. def matrixTranspose[T](input: tensors.Tensor[T], conjugate: Boolean = false)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Basic
    Annotations
    @throws( ... )
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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
  144. 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
  145. 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
  146. 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
  147. 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
  148. 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
  149. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  150. 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
  151. def notEqual[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
  152. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  153. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  154. def pad[T, I](input: tensors.Tensor[T], paddings: tensors.Tensor[I], mode: ops.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
  155. def parallelStack[T](inputs: Seq[tensors.Tensor[T]])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Basic
  156. 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
  157. 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
  158. def preventGradient[T](input: tensors.Tensor[T], message: String = "")(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Basic
  159. 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
  160. def randomShuffle[T](value: tensors.Tensor[T], seed: Option[Int] = None)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Random
  161. 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
  162. def rank[T <: tensors.TensorLike[_]](input: T): tensors.Tensor[Int]
    Definition Classes
    Basic
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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
  169. 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( ... )
  170. 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
  171. 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
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. 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( ... )
  186. 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( ... )
  187. def shape[T <: tensors.TensorLike[_]](input: T): tensors.Tensor[Int]
    Definition Classes
    Basic
  188. def shapeN(inputs: Seq[tensors.Tensor[_]]): Seq[tensors.Tensor[Int]]
    Definition Classes
    Basic
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. def size[T <: tensors.TensorLike[_]](input: T): tensors.Tensor[Long]
    Definition Classes
    Basic
  195. 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
  196. 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
  197. 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
  198. def softsign[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): tensors.Tensor[T]
    Definition Classes
    NN
  199. 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
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. 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
  207. 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
  208. 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
  209. 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
  210. 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
  211. def squeeze[T](input: tensors.Tensor[T], axes: Seq[Int] = null)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Basic
  212. def stack[T](inputs: Seq[tensors.Tensor[T]], axis: Int = 0)(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Basic
  213. def stopGradient[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): tensors.Tensor[T]
    Definition Classes
    Basic
  214. 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
  215. 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]
    Definition Classes
    Math
  216. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  217. 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]
    Definition Classes
    Math
  218. 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]
    Definition Classes
    Math
  219. 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]
    Definition Classes
    Math
    Annotations
    @throws( ... )
  220. 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
    Math
    Annotations
    @throws( ... )
  221. 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
    Basic
  222. def toString(): String
    Definition Classes
    AnyRef → Any
  223. 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
  224. def trace[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[T]
    Definition Classes
    Math
  225. 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
    Basic
  226. 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
    Math
  227. 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]
    Definition Classes
    Math
  228. 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])
    Definition Classes
    Basic
  229. 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
    Basic
  230. 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
    Math
  231. 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
    Math
  232. def unstack[T](input: tensors.Tensor[T], number: Int = -1, axis: Int = 0)(implicit arg0: core.types.TF[T]): Seq[tensors.Tensor[T]]
    Definition Classes
    Basic
  233. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  234. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  235. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  236. def where[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsBooleanOrNumeric[T]): tensors.Tensor[Long]
    Definition Classes
    Basic
  237. def zerosFraction[T](input: tensors.Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): tensors.Tensor[Float]
    Definition Classes
    Math
  238. 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

Deprecated Value Members

  1. def floorDivide[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
    Annotations
    @deprecated
    Deprecated

    (Since version 0.1) Use truncateDivide instead.

Inherited from API

Inherited from API

Inherited from Random

Inherited from NN

Inherited from Math

Inherited from Cast

Inherited from Basic

Inherited from API

Inherited from AnyRef

Inherited from Any

Ungrouped