Packages

object tf extends API with API

Linear Supertypes
API, API, API, RNN, API, API, API, Lookup, API, ControlFlow, API, Text, Statistics, Sets, Resources, Random, Parsing, NN, Math, Logging, Embedding, DataFlow, Clip, Checks, Cast, Callback, Basic, Masking, Manipulation, Inplace, Constructors, API, AnyRef, Any
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Inherited
  1. tf
  2. API
  3. API
  4. API
  5. RNN
  6. API
  7. API
  8. API
  9. Lookup
  10. API
  11. ControlFlow
  12. API
  13. Text
  14. Statistics
  15. Sets
  16. Resources
  17. Random
  18. Parsing
  19. NN
  20. Math
  21. Logging
  22. Embedding
  23. DataFlow
  24. Clip
  25. Checks
  26. Cast
  27. Callback
  28. Basic
  29. Masking
  30. Manipulation
  31. Inplace
  32. Constructors
  33. API
  34. AnyRef
  35. Any
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Visibility
  1. Public
  2. Protected

Type Members

  1. sealed trait Combiner extends AnyRef
    Definition Classes
    Embedding
  2. sealed trait PartitionStrategy extends AnyRef
    Definition Classes
    Embedding
  3. case class ConstantPadding[V](value: Option[tensors.Tensor[V]] = None)(implicit evidence$48: core.types.TF[V]) extends PaddingMode with Product with Serializable
    Definition Classes
    Manipulation
  4. sealed trait PaddingMode extends AnyRef
    Definition Classes
    Manipulation
  5. type AbortedException = jni.AbortedException
    Definition Classes
    API
  6. type AlreadyExistsException = jni.AlreadyExistsException
    Definition Classes
    API
  7. type Attention[T, State, StateShape] = ops.rnn.attention.Attention[T, State, StateShape]
    Definition Classes
    API
  8. type AttentionWrapperCell[AttentionDataType, CellState, AttentionState, CellStateShape, AttentionStateShape] = ops.rnn.attention.AttentionWrapperCell[AttentionDataType, CellState, AttentionState, CellStateShape, AttentionStateShape]
    Definition Classes
    API
  9. type BahdanauAttention[T] = ops.rnn.attention.BahdanauAttention[T]
    Definition Classes
    API
  10. type BasicLSTMCell[T] = ops.rnn.cell.BasicLSTMCell[T]
    Definition Classes
    API
  11. type BasicRNNCell[T] = ops.rnn.cell.BasicRNNCell[T]
    Definition Classes
    API
  12. type BasicTuple[T] = Tuple[ops.Output[T], ops.Output[T]]
    Definition Classes
    API
  13. type CancelledException = jni.CancelledException
    Definition Classes
    API
  14. type CheckpointNotFoundException = core.exception.CheckpointNotFoundException
    Definition Classes
    API
  15. type DataLossException = jni.DataLossException
    Definition Classes
    API
  16. type DeadlineExceededException = jni.DeadlineExceededException
    Definition Classes
    API
  17. type DeviceSpecification = core.DeviceSpecification
    Definition Classes
    API
  18. type DeviceWrapper[Out, State, OutShape, StateShape] = ops.rnn.cell.DeviceWrapper[Out, State, OutShape, StateShape]
    Definition Classes
    API
  19. type DropoutWrapper[Out, State, OutShape, StateShape] = ops.rnn.cell.DropoutWrapper[Out, State, OutShape, StateShape]
    Definition Classes
    API
  20. type FailedPreconditionException = jni.FailedPreconditionException
    Definition Classes
    API
  21. type GRUCell[T] = ops.rnn.cell.GRUCell[T]
    Definition Classes
    API
  22. type GraphMismatchException = core.exception.GraphMismatchException
    Definition Classes
    API
  23. type HashTable[K, V] = ops.lookup.HashTable[K, V]
    Definition Classes
    API
  24. type IDLookupTableWithHashBuckets[K] = ops.lookup.IDLookupTableWithHashBuckets[K]
    Definition Classes
    API
  25. type IllegalNameException = core.exception.IllegalNameException
    Definition Classes
    API
  26. type InternalException = jni.InternalException
    Definition Classes
    API
  27. type InvalidArgumentException = jni.InvalidArgumentException
    Definition Classes
    API
  28. type InvalidDataTypeException = core.exception.InvalidDataTypeException
    Definition Classes
    API
  29. type InvalidDeviceException = core.exception.InvalidDeviceException
    Definition Classes
    API
  30. type InvalidIndexerException = core.exception.InvalidIndexerException
    Definition Classes
    API
  31. type InvalidShapeException = core.exception.InvalidShapeException
    Definition Classes
    API
  32. type LSTMCell[T] = ops.rnn.cell.LSTMCell[T]
    Definition Classes
    API
  33. type LSTMState[T] = ops.rnn.cell.LSTMState[T]
    Definition Classes
    API
  34. type LSTMTuple[T] = Tuple[ops.Output[T], LSTMState[T]]
    Definition Classes
    API
  35. type LookupTable[K, V] = ops.lookup.LookupTable[K, V]
    Definition Classes
    API
  36. type LookupTableInitializer[K, V] = ops.lookup.LookupTableInitializer[K, V]
    Definition Classes
    API
  37. type LookupTableTensorInitializer[K, V] = ops.lookup.LookupTableTensorInitializer[K, V]
    Definition Classes
    API
  38. type LookupTableTextFileInitializer[K, V] = ops.lookup.LookupTableTextFileInitializer[K, V]
    Definition Classes
    API
  39. type LuongAttention[T] = ops.rnn.attention.LuongAttention[T]
    Definition Classes
    API
  40. type NotFoundException = jni.NotFoundException
    Definition Classes
    API
  41. type OpBuilderUsedException = core.exception.OpBuilderUsedException
    Definition Classes
    API
  42. type OpCreationContext = GraphConstructionScope
    Definition Classes
    API
  43. type OpSpecification = ops.OpSpecification
    Definition Classes
    API
  44. type OutOfRangeException = jni.OutOfRangeException
    Definition Classes
    API
  45. type PermissionDeniedException = jni.PermissionDeniedException
    Definition Classes
    API
  46. type RNNCell[Out, State, OutShape, StateShape] = ops.rnn.cell.RNNCell[Out, State, OutShape, StateShape]
    Definition Classes
    API
  47. type RNNTuple[Out, State] = Tuple[Out, State]
    Definition Classes
    API
  48. type ResidualWrapper[Out, State, OutShape, StateShape] = ops.rnn.cell.ResidualWrapper[Out, State, OutShape, StateShape]
    Definition Classes
    API
  49. type ResourceExhaustedException = jni.ResourceExhaustedException
    Definition Classes
    API
  50. type Saver = ops.variables.Saver
    Definition Classes
    API
  51. type ShapeMismatchException = core.exception.ShapeMismatchException
    Definition Classes
    API
  52. type StackedCell[Out, State, OutShape, StateShape] = ops.rnn.cell.StackedCell[Out, State, OutShape, StateShape]
    Definition Classes
    API
  53. type TextFileFieldExtractor[K] = ops.lookup.TextFileFieldExtractor[K]
    Definition Classes
    API
  54. type UnauthenticatedException = jni.UnauthenticatedException
    Definition Classes
    API
  55. type UnavailableException = jni.UnavailableException
    Definition Classes
    API
  56. type UnimplementedException = jni.UnimplementedException
    Definition Classes
    API
  57. type UnknownException = jni.UnknownException
    Definition Classes
    API
  58. type Variable[T] = ops.variables.Variable[T]
    Definition Classes
    API
  59. type VariableGetter = ops.variables.Variable.VariableGetter
    Definition Classes
    API
  60. type VariableInitializer = Initializer
    Definition Classes
    API
  61. type VariableLike[T] = ops.variables.VariableLike[T]
    Definition Classes
    API
  62. type VariableRegularizer = Regularizer
    Definition Classes
    API
  63. type VariableReuse = Reuse
    Definition Classes
    API
  64. type VariableReuseAllowed = ReuseAllowed
    Definition Classes
    API
  65. type VariableScope = ops.variables.VariableScope
    Definition Classes
    API
  66. type VariableStore = ops.variables.VariableStore
    Definition Classes
    API

Value Members

  1. case object DivStrategy extends PartitionStrategy with Product with Serializable
    Definition Classes
    Embedding
  2. case object MeanCombiner extends Combiner with Product with Serializable
    Definition Classes
    Embedding
  3. case object ModStrategy extends PartitionStrategy with Product with Serializable
    Definition Classes
    Embedding
  4. case object SumCombiner extends Combiner with Product with Serializable
    Definition Classes
    Embedding
  5. case object SumSqrtNCombiner extends Combiner with Product with Serializable
    Definition Classes
    Embedding
  6. object ReflectivePadding extends PaddingMode
    Definition Classes
    Manipulation
  7. object SymmetricPadding extends PaddingMode
    Definition Classes
    Manipulation
  8. object bitwise extends Bitwise
    Definition Classes
    Math
  9. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. final def ##: Int
    Definition Classes
    AnyRef → Any
  11. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. val AbortedException: core.exception.AbortedException.type
    Definition Classes
    API
  13. val AlreadyExistsException: core.exception.AlreadyExistsException.type
    Definition Classes
    API
  14. val AttentionWrapperCell: ops.rnn.attention.AttentionWrapperCell.type
    Definition Classes
    API
  15. val BahdanauAttention: ops.rnn.attention.BahdanauAttention.type
    Definition Classes
    API
  16. val BasicLSTMCell: ops.rnn.cell.BasicLSTMCell.type
    Definition Classes
    API
  17. val BasicRNNCell: ops.rnn.cell.BasicRNNCell.type
    Definition Classes
    API
  18. val CancelledException: core.exception.CancelledException.type
    Definition Classes
    API
  19. val CheckpointNotFoundException: core.exception.CheckpointNotFoundException.type
    Definition Classes
    API
  20. def ConstantInitializer[T](value: ops.Output[T])(implicit arg0: core.types.TF[T]): Initializer
    Definition Classes
    API
  21. def ConstantInitializer[T](value: tensors.Tensor[T])(implicit arg0: core.types.TF[T]): Initializer
    Definition Classes
    API
  22. val CreateNewVariableOnly: CreateNewOnly.type
    Definition Classes
    API
  23. val DataLossException: core.exception.DataLossException.type
    Definition Classes
    API
  24. val DeadlineExceededException: core.exception.DeadlineExceededException.type
    Definition Classes
    API
  25. val DeviceWrapper: ops.rnn.cell.DeviceWrapper.type
    Definition Classes
    API
  26. val DropoutWrapper: ops.rnn.cell.DropoutWrapper.type
    Definition Classes
    API
  27. val FailedPreconditionException: core.exception.FailedPreconditionException.type
    Definition Classes
    API
  28. val GRUCell: ops.rnn.cell.GRUCell.type
    Definition Classes
    API
  29. val GlorotNormalInitializer: ops.variables.GlorotNormalInitializer.type
    Definition Classes
    API
  30. val GlorotUniformInitializer: ops.variables.GlorotUniformInitializer.type
    Definition Classes
    API
  31. val GraphMismatchException: core.exception.GraphMismatchException.type
    Definition Classes
    API
  32. val HashTable: ops.lookup.HashTable.type
    Definition Classes
    API
  33. val IDLookupTableWithHashBuckets: ops.lookup.IDLookupTableWithHashBuckets.type
    Definition Classes
    API
  34. val IllegalNameException: core.exception.IllegalNameException.type
    Definition Classes
    API
  35. val InternalException: core.exception.InternalException.type
    Definition Classes
    API
  36. val InvalidArgumentException: core.exception.InvalidArgumentException.type
    Definition Classes
    API
  37. val InvalidDataTypeException: core.exception.InvalidDataTypeException.type
    Definition Classes
    API
  38. val InvalidDeviceException: core.exception.InvalidDeviceException.type
    Definition Classes
    API
  39. val InvalidIndexerException: core.exception.InvalidIndexerException.type
    Definition Classes
    API
  40. val InvalidShapeException: core.exception.InvalidShapeException.type
    Definition Classes
    API
  41. val LSTMCell: ops.rnn.cell.LSTMCell.type
    Definition Classes
    API
  42. val LSTMState: ops.rnn.cell.LSTMState.type
    Definition Classes
    API
  43. def LSTMTuple[T](output: ops.Output[T], state: LSTMState[T]): LSTMTuple[T]
    Definition Classes
    API
  44. val LookupTableTensorInitializer: ops.lookup.LookupTableTensorInitializer.type
    Definition Classes
    API
  45. val LookupTableTextFileInitializer: ops.lookup.LookupTableTextFileInitializer.type
    Definition Classes
    API
  46. val LuongAttention: ops.rnn.attention.LuongAttention.type
    Definition Classes
    API
  47. val NotFoundException: core.exception.NotFoundException.type
    Definition Classes
    API
  48. val OnesInitializer: ops.variables.OnesInitializer.type
    Definition Classes
    API
  49. val OpBuilderUsedException: core.exception.OpBuilderUsedException.type
    Definition Classes
    API
  50. val OutOfRangeException: core.exception.OutOfRangeException.type
    Definition Classes
    API
  51. val PermissionDeniedException: core.exception.PermissionDeniedException.type
    Definition Classes
    API
  52. val RNNTuple: Tuple.type
    Definition Classes
    API
  53. val RandomNormalInitializer: ops.variables.RandomNormalInitializer.type
    Definition Classes
    API
  54. val RandomTruncatedNormalInitializer: ops.variables.RandomTruncatedNormalInitializer.type
    Definition Classes
    API
  55. val RandomUniformInitializer: ops.variables.RandomUniformInitializer.type
    Definition Classes
    API
  56. val ResidualWrapper: ops.rnn.cell.ResidualWrapper.type
    Definition Classes
    API
  57. val ResourceExhaustedException: core.exception.ResourceExhaustedException.type
    Definition Classes
    API
  58. val ReuseExistingVariableOnly: ReuseExistingOnly.type
    Definition Classes
    API
  59. val ReuseOrCreateNewVariable: ReuseOrCreateNew.type
    Definition Classes
    API
  60. val Saver: ops.variables.Saver.type
    Definition Classes
    API
  61. val ShapeMismatchException: core.exception.ShapeMismatchException.type
    Definition Classes
    API
  62. val StackedCell: ops.rnn.cell.StackedCell.type
    Definition Classes
    API
  63. val TextFileColumn: ops.lookup.TextFileColumn.type
    Definition Classes
    API
  64. val TextFileLineNumber: ops.lookup.TextFileLineNumber.type
    Definition Classes
    API
  65. val TextFileWholeLine: ops.lookup.TextFileWholeLine.type
    Definition Classes
    API
  66. val Timeline: core.client.Timeline.type
    Definition Classes
    API
  67. val UnauthenticatedException: core.exception.UnauthenticatedException.type
    Definition Classes
    API
  68. val UnavailableException: core.exception.UnavailableException.type
    Definition Classes
    API
  69. val UnimplementedException: core.exception.UnimplementedException.type
    Definition Classes
    API
  70. val UnknownException: core.exception.UnknownException.type
    Definition Classes
    API
  71. val VariableScope: ops.variables.VariableScope.type
    Definition Classes
    API
  72. val VariableStore: ops.variables.VariableStore.type
    Definition Classes
    API
  73. val VarianceScalingInitializer: ops.variables.VarianceScalingInitializer.type
    Definition Classes
    API
  74. val ZerosInitializer: ops.variables.ZerosInitializer.type
    Definition Classes
    API
  75. def abs[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Abs")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  76. def absGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  77. def accumulateN[T](inputs: Seq[ops.Output[T]], shape: core.Shape = null, name: String = "AccumulateN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  78. def accumulateNGradient[T](op: ops.Op[Seq[ops.Output[T]], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Seq[ops.Output[T]]
    Attributes
    protected
    Definition Classes
    Math
  79. def acos[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Acos")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  80. def acosGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  81. def acosh[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "ACosh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  82. def acoshGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  83. def add[T](x: ops.Output[T], y: ops.Output[T], name: String = "Add")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  84. def addBias[T](value: ops.Output[T], bias: ops.Output[T], cNNDataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "AddBias")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    NN
  85. def addBiasGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  86. def addBiasHessian[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  87. def addGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  88. def addN[T](inputs: Seq[ops.Output[T]], name: String = "AddN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    Math
  89. def addNGradient[T](op: ops.Op[Seq[ops.Output[T]], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Seq[ops.Output[T]]
    Attributes
    protected
    Definition Classes
    Math
  90. def all[I](input: ops.Output[Boolean], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "All")(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[Boolean]
    Definition Classes
    Math
  91. def angleDouble[OL[A] <: ops.OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Angle")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
    Definition Classes
    Math
  92. def angleFloat[OL[A] <: ops.OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Angle")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
    Definition Classes
    Math
  93. def any[I](input: ops.Output[Boolean], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "Any")(implicit arg0: IntDefault[I], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[Boolean]
    Definition Classes
    Math
  94. def approximatelyEqual[T](x: ops.Output[T], y: ops.Output[T], tolerance: Float = 0.00001f, name: String = "ApproximatelyEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Boolean]
    Definition Classes
    Math
  95. def argmax[T, I, R](input: ops.Output[T], axes: ops.Output[I], outputDataType: core.types.DataType[R], name: String = "ArgMax")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I], arg4: core.types.TF[R]): ops.Output[R]
    Definition Classes
    Math
  96. def argmin[T, I, R](input: ops.Output[T], axes: ops.Output[I], outputDataType: core.types.DataType[R], name: String = "ArgMin")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I], arg4: core.types.TF[R]): ops.Output[R]
    Definition Classes
    Math
  97. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  98. def asin[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Asin")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  99. def asinGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  100. def asinh[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "ASinh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  101. def asinhGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  102. def assert(condition: ops.Output[Boolean], data: Seq[ops.Output[Any]], summarize: Int = 3, name: String = "Assert"): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  103. def assertAtMostNTrue(predicates: Seq[ops.Output[Boolean]], n: Int, message: ops.Output[String] = null, summarize: Int = 3, name: String = "AssertAtMostNTrue"): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  104. def assertEqual[T](x: ops.Output[T], y: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  105. def assertGreater[T](x: ops.Output[T], y: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertGreater")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  106. def assertGreaterEqual[T](x: ops.Output[T], y: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertGreaterEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  107. def assertLess[T](x: ops.Output[T], y: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertLess")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  108. def assertLessEqual[T](x: ops.Output[T], y: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertLessEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  109. def assertNear[T](x: ops.Output[T], y: ops.Output[T], relTolerance: ops.Output[Float] = 0.00001f, absTolerance: ops.Output[Float] = 0.00001f, message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertNear")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  110. def assertNegative[T](input: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertNegative")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  111. def assertNonNegative[T](input: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertNonNegative")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  112. def assertNonPositive[T](input: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertNonPositive")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  113. def assertNoneEqual[T](x: ops.Output[T], y: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertNoneEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  114. def assertPositive[T](input: ops.Output[T], message: ops.Output[String] = null, data: Seq[ops.Output[Any]] = null, summarize: Int = 3, name: String = "AssertPositive")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Op[Seq[ops.Output[Any]], Unit]
    Definition Classes
    Checks
  115. def atan[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Atan")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  116. def atan2[T](x: ops.Output[T], y: ops.Output[T], name: String = "ATan2")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  117. def atan2Gradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  118. def atanGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  119. def atanh[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "ATanh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  120. def atanhGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  121. def batchGather[T, I](input: ops.Output[T], indices: ops.Output[I], axis: Int = 1, batchDimensionCount: Int = 1, name: String = "BatchGather")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  122. def batchMatmulGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  123. def batchNormalization[T](x: ops.Output[T], mean: ops.Output[T], variance: ops.Output[T], offset: Option[ops.Output[T]] = None, scale: Option[ops.Output[T]] = None, epsilon: ops.Output[T], name: String = "BatchNormalization")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  124. def batchToSpace[T, I](input: ops.Output[T], blockSize: Int, crops: ops.Output[I], name: String = "BatchToSpace")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  125. def batchToSpaceND[T, I1, I2](input: ops.Output[T], blockShape: ops.Output[I1], crops: ops.Output[I2], name: String = "BatchToSpaceND")(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]): ops.Output[T]
    Definition Classes
    Manipulation
  126. def batchToSpaceNDGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(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]): (ops.Output[T], ops.Output[I1], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Manipulation
  127. def bidirectionalDynamicRNN[Out, State, OutShape, StateShape](cellFw: ops.rnn.cell.RNNCell[Out, State, OutShape, StateShape], cellBw: ops.rnn.cell.RNNCell[Out, State, OutShape, StateShape], input: Out, initialStateFw: Option[State] = None, initialStateBw: Option[State] = None, timeMajor: Boolean = false, parallelIterations: Int = 32, swapMemory: Boolean = false, sequenceLengths: ops.Output[Int] = null, name: String = "RNN")(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evZeroOut: Aux[Out, OutShape], evZeroState: Aux[State, StateShape]): (Tuple[Out, State], Tuple[Out, State])
    Definition Classes
    RNN
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  128. def binCount[T](input: ops.Output[Int], dataType: core.types.DataType[T], weights: ops.Output[T] = null, minLength: ops.Output[Int] = null, maxLength: ops.Output[Int] = null, name: String = "BinCount")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLongOrFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  129. def booleanMask[T](input: ops.Output[T], mask: ops.Output[Boolean], name: String = "BooleanMask")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Masking
  130. def broadcastGradientArguments[I](shape1: ops.Output[I], shape2: ops.Output[I], name: String = "BroadcastGradientArguments")(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): (ops.Output[I], ops.Output[I])
    Definition Classes
    Basic
  131. def broadcastShapeDynamic[I](shape1: ops.Output[I], shape2: ops.Output[I], name: String = "BroadcastShape")(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): ops.Output[I]
    Definition Classes
    Basic
  132. def broadcastTo[T, I](value: ops.Output[T], shape: ops.Output[I], name: String = "BroadcastTo")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Basic
  133. def bucketize[T](input: ops.Output[T], boundaries: Seq[Float], name: String = "Bucketize")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLongOrFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  134. def callback[IT, IV, OT, OV, OD](function: (IV) => OV, input: IT, outputDataType: OD, stateful: Boolean = true, name: String = "Callback")(implicit arg0: OutputStructure[IT], evOutputToTensorI: Aux[IT, IV], evTensorToOutputO: Aux[OV, OT], evOutputToDataType: Aux[OT, OD]): OT
    Definition Classes
    Callback
  135. def cases[T](predicateFnPairs: Seq[(ops.Output[Boolean], () => T)], default: () => T, exclusive: Boolean = false, name: String = "Cases")(implicit evCondArgT: CondArg[T]): T
    Definition Classes
    ControlFlow
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidDataTypeException])
  136. def castGradient[T, R](op: ops.Op[ops.Output[T], ops.Output[R]], outputGradient: ops.Output[R])(implicit arg0: core.types.TF[R]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Cast
  137. def ceil[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Ceil")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  138. def checkNumerics[T](input: ops.Output[T], message: String = "", name: String = "CheckNumerics")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    Basic
  139. def checkNumericsGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Basic
  140. def clipByAverageNorm[T](input: ops.Output[T], clipNorm: ops.Output[T], name: String = "ClipByAverageNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Clip
  141. def clipByGlobalNorm[T](inputs: Seq[ops.OutputLike[T]], clipNorm: ops.Output[T], globalNorm: ops.Output[T] = null, name: String = "ClipByGlobalNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (Seq[ops.OutputLike[T]], ops.Output[T])
    Definition Classes
    Clip
  142. def clipByNorm[T, I](input: ops.Output[T], clipNorm: ops.Output[T], axes: ops.Output[I] = null, name: String = "ClipByNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Clip
  143. def clipByValue[T](input: ops.Output[T], clipValueMin: ops.Output[T], clipValueMax: ops.Output[T], name: String = "ClipByValue")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Clip
  144. def clipByValueGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Clip
  145. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  146. def colocateWith[R](colocationOps: Set[ops.UntypedOp], ignoreExisting: Boolean = false)(block: => R): R
    Definition Classes
    API
  147. def complexDouble(real: ops.Output[Double], imag: ops.Output[Double], name: String = "Complex"): ops.Output[core.types.ComplexDouble]
    Definition Classes
    Math
  148. def complexDoubleGradient(op: ops.Op[(ops.Output[Double], ops.Output[Double]), ops.Output[core.types.ComplexDouble]], outputGradient: ops.Output[core.types.ComplexDouble]): (ops.Output[Double], ops.Output[Double])
    Definition Classes
    Math
  149. def complexFloat(real: ops.Output[Float], imag: ops.Output[Float], name: String = "Complex"): ops.Output[core.types.ComplexFloat]
    Definition Classes
    Math
  150. def complexFloatGradient(op: ops.Op[(ops.Output[Float], ops.Output[Float]), ops.Output[core.types.ComplexFloat]], outputGradient: ops.Output[core.types.ComplexFloat]): (ops.Output[Float], ops.Output[Float])
    Definition Classes
    Math
  151. def concatenate[T](inputs: Seq[ops.Output[T]], axis: ops.Output[Int] = 0, name: String = "Concatenate")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  152. def concatenateGradient[T](op: ops.Op[(Seq[ops.Output[T]], ops.Output[Int]), ops.Output[T]], outputGradient: ops.OutputLike[T])(implicit arg0: core.types.TF[T]): (Seq[ops.OutputLike[T]], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    Manipulation
  153. def cond[T](predicate: ops.Output[Boolean], trueFn: () => T, falseFn: () => T, name: String = "Cond")(implicit evCondArgT: CondArg[T]): T
    Definition Classes
    ControlFlow
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidDataTypeException])
  154. def conjugate[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "Conjugate")(implicit arg0: core.types.TF[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  155. def conjugateGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  156. def conjugateTransposeGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  157. def constant[T](tensor: tensors.Tensor[T], shape: core.Shape = null, name: String = "Constant"): ops.Output[T]
    Definition Classes
    Constructors
  158. def conv2D[T](input: ops.Output[T], filter: ops.Output[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true, name: String = "Conv2D")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  159. def conv2DBackpropFilter[T](input: ops.Output[T], filterSizes: ops.Output[Int], outputGradient: ops.Output[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true, name: String = "Conv2DBackpropFilter")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  160. def conv2DBackpropInput[T](inputSizes: ops.Output[Int], filter: ops.Output[T], outputGradient: ops.Output[T], stride1: Long, stride2: Long, padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, dilations: (Int, Int, Int, Int) = (1, 1, 1, 1), useCuDNNOnGPU: Boolean = true, name: String = "Conv2DBackpropInput")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  161. def conv2DGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  162. def cos[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Cos")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  163. def cosGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  164. def cosh[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Cosh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  165. def coshGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  166. def countNonZero[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "CountNonZero")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[Long]
    Definition Classes
    Math
  167. def countNonZeroSparse[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "CountNonZero")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Long]
    Definition Classes
    Math
  168. def createWith[R](graph: Graph = null, nameScope: String = null, device: String = "", deviceFunction: Option[(OpSpecification) => String] = None, colocationOps: Set[ops.UntypedOp] = null, controlDependencies: Set[ops.UntypedOp] = null, attributes: Map[String, Any] = null, container: String = null)(block: => R): R
    Definition Classes
    API
  169. def crelu[T](input: ops.Output[T], axis: ops.Output[Int] = -1, name: String = "CReLU")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Definition Classes
    NN
  170. def cross[T](a: ops.Output[T], b: ops.Output[T], name: String = "Cross")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Definition Classes
    Math
  171. def crossGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  172. def cumprod[T, I](input: ops.Output[T], axis: ops.Output[I], exclusive: Boolean = false, reverse: Boolean = false, name: String = "Cumprod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  173. def cumprodGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  174. def cumsum[T, I](input: ops.Output[T], axis: ops.Output[I], exclusive: Boolean = false, reverse: Boolean = false, name: String = "Cumsum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  175. def cumsumGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  176. def currentAttributes: Map[String, Any]
    Definition Classes
    API
  177. def currentColocationOps: Set[ops.UntypedOp]
    Definition Classes
    API
  178. def currentContainer: String
    Definition Classes
    API
  179. def currentControlDependencies: Set[ops.UntypedOp]
    Definition Classes
    API
  180. def currentDevice: String
    Definition Classes
    API
  181. def currentDeviceFunction: (OpSpecification) => String
    Definition Classes
    API
  182. def currentGraph: Graph
    Definition Classes
    API
  183. def currentGraphRandomSeed(opSeed: Option[Int] = None): (Option[Int], Option[Int])
    Definition Classes
    API
  184. def currentNameScope: String
    Definition Classes
    API
  185. def currentVariableGetters: Seq[VariableGetter]
    Definition Classes
    API
  186. def currentVariableScope: VariableScope
    Definition Classes
    API
  187. def currentVariableStore: VariableStore
    Definition Classes
    API
  188. def decodeBase64(input: ops.Output[String], name: String = "DecodeBase64"): ops.Output[String]
    Definition Classes
    Text
  189. def decodeCSV[T](records: ops.Output[String], recordDefaults: Seq[ops.Output[T]], dataTypes: Seq[core.types.DataType[T]], delimiter: String = ",", useQuoteDelimiters: Boolean = true, name: String = "DecodeCSV")(implicit arg0: core.types.TF[T]): Seq[ops.Output[T]]
    Definition Classes
    Parsing
  190. def decodeJSONExample(jsonExamples: ops.Output[String], name: String = "DecodeJSONExample"): ops.Output[String]
    Definition Classes
    Parsing
  191. def decodeRaw[T](bytes: ops.Output[String], littleEndian: Boolean = true, name: String = "DecodeRaw")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Parsing
  192. def decodeTensor[T](data: ops.Output[String], name: String = "DecodeTensor")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Parsing
  193. def deepCopy[T](x: ops.Output[T], name: String = "DeepCopy")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Inplace
  194. def depthToSpace[T](input: ops.Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "DepthToSpace")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  195. def depthToSpaceGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Manipulation
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.jni.InvalidArgumentException])
  196. def device[R](device: String = "", deviceFunction: Option[(OpSpecification) => String] = None)(block: => R): R
    Definition Classes
    API
  197. def diag[T](diagonal: ops.Output[T], name: String = "Diag")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  198. def diagGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  199. def diagPart[T](input: ops.Output[T], name: String = "DiagPart")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  200. def diagPartGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  201. def digamma[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Digamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  202. def digammaGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  203. def divide[T](x: ops.Output[T], y: ops.Output[T], name: String = "Divide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  204. def divideGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  205. def dropout[T, I](input: ops.Output[T], keepProbability: Float, scaleOutput: Boolean = true, noiseShape: ops.Output[I] = null, seed: Option[Int] = None, name: String = "Dropout")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    NN
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  206. def dynamicDropout[T, I](input: ops.Output[T], keepProbability: ops.Output[T], scaleOutput: Boolean = true, noiseShape: ops.Output[I] = null, seed: Option[Int] = None, name: String = "Dropout")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    NN
  207. def dynamicPartition[T](data: ops.Output[T], partitions: ops.Output[Int], numberOfPartitions: Int, name: String = "DynamicPartition")(implicit arg0: core.types.TF[T]): Seq[ops.Output[T]]
    Definition Classes
    DataFlow
  208. def dynamicPartitionGradient[T](op: ops.Op[(ops.Output[T], ops.Output[Int]), Seq[ops.Output[T]]], outputGradient: Seq[ops.Output[T]])(implicit arg0: core.types.TF[T]): (ops.Output[T], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    DataFlow
  209. def dynamicRNN[Out, State, OutShape, StateShape](cell: ops.rnn.cell.RNNCell[Out, State, OutShape, StateShape], input: Out, initialState: Option[State] = None, timeMajor: Boolean = false, parallelIterations: Int = 32, swapMemory: Boolean = false, sequenceLengths: ops.Output[Int] = null, name: String = "RNN")(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evZeroOut: Aux[Out, OutShape], evZeroState: Aux[State, StateShape]): Tuple[Out, State]
    Definition Classes
    RNN
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException]) @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  210. def dynamicStitch[T](indices: Seq[ops.Output[Int]], data: Seq[ops.Output[T]], name: String = "DynamicStitch")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    DataFlow
  211. def dynamicStitchGradient[T](op: ops.Op[(Seq[ops.Output[Int]], Seq[ops.Output[T]]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): (Seq[ops.Output[Int]], Seq[ops.Output[T]])
    Attributes
    protected
    Definition Classes
    DataFlow
  212. def editDistance[T](hypothesis: ops.SparseOutput[T], truth: ops.SparseOutput[T], normalize: Boolean = true, name: String = "EditDistance")(implicit arg0: core.types.TF[T]): ops.Output[Float]
    Definition Classes
    Basic
  213. def elu[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "ELU")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    NN
  214. def eluGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  215. def eluHessian[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  216. def embeddingLookup[T, I](parameters: EmbeddingMap[T], ids: ops.Output[I], partitionStrategy: PartitionStrategy = ModStrategy, transformFn: (ops.Output[T]) => ops.Output[T] = null, maxNorm: ops.Output[T] = null, name: String = "EmbeddingLookup")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Embedding
  217. def empty[T](shape: ops.Output[Int], initialize: Boolean = false, name: String = "Empty")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  218. def emptyLike[T](input: ops.Output[T], initialize: Boolean = false, optimize: Boolean = true, name: String = "EmptyLike")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  219. def encodeBase64(input: ops.Output[String], pad: Boolean = false, name: String = "EncodeBase64"): ops.Output[String]
    Definition Classes
    Text
  220. def encodeTensor[T](tensor: ops.Output[T], name: String = "EncodeTensor")(implicit arg0: core.types.TF[T]): ops.Output[String]
    Definition Classes
    Parsing
  221. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  222. def equal[T](x: ops.Output[T], y: ops.Output[T], name: String = "Equal")(implicit arg0: core.types.TF[T]): ops.Output[Boolean]
    Definition Classes
    Math
  223. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  224. def erf[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Erf")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  225. def erfGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  226. def erfc[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Erfc")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  227. def erfcGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  228. def exp[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Exp")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  229. def expGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  230. def expandDims[T, I](input: ops.Output[T], axis: ops.Output[I], name: String = "ExpandDims")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  231. def expandDimsGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  232. def expm1[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Expm1")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  233. def expm1Gradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  234. def fill[T, I](dataType: core.types.DataType[T], shape: ops.Output[I])(value: ops.Output[T])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Constructors
  235. def fill[T, I](shape: ops.Output[I])(value: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Constructors
  236. def fillGradient[T, I](op: ops.Op[(ops.Output[I], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[I], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Constructors
  237. def floor[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Floor")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  238. def floorMod[T](x: ops.Output[T], y: ops.Output[T], name: String = "FloorMod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  239. def fusedBatchNormalization[T](x: ops.Output[T], scale: ops.Output[Float], offset: ops.Output[Float], mean: Option[ops.Output[Float]] = None, variance: Option[ops.Output[Float]] = None, epsilon: Float = 0.0001f, dataFormat: CNNDataFormat = NWCFormat, isTraining: Boolean = true, name: String = "FusedBatchNormalization")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (ops.Output[T], ops.Output[Float], ops.Output[Float], ops.Output[Float], ops.Output[Float])
    Definition Classes
    NN
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  240. def fusedBatchNormalizationGradient[T](op: ops.Op[(ops.Output[T], ops.Output[Float], ops.Output[Float], ops.Output[Float], ops.Output[Float]), (ops.Output[T], ops.Output[Float], ops.Output[Float], ops.Output[Float], ops.Output[Float])], outputGradient: (ops.Output[T], ops.Output[Float], ops.Output[Float], ops.Output[Float], ops.Output[Float]))(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (ops.Output[T], ops.Output[Float], ops.Output[Float], ops.Output[Float], ops.Output[Float])
    Attributes
    protected
    Definition Classes
    NN
  241. def gather[T, I1, I2](input: ops.Output[T], indices: ops.Output[I1], axis: ops.Output[I2] = null, name: String = "Gather")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: IntDefault[I2], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Manipulation
  242. def gatherDropNegatives[T, I](parameters: ops.Output[T], indices: ops.Output[I], zeroClippedIndices: ops.Output[I] = null, isPositive: ops.Output[Boolean] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I], ops.Output[Boolean])
    Attributes
    protected
    Definition Classes
    Math
  243. def gatherGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(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]): (ops.OutputLike[T], ops.Output[I1], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Manipulation
  244. def gatherND[T, I](input: ops.Output[T], indices: ops.Output[I], name: String = "GatherND")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  245. def gatherNDGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.OutputLike[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  246. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  247. def globalNorm[T](inputs: Seq[ops.OutputLike[T]], name: String = "GlobalNorm")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    Clip
  248. def globalVariablesInitializer(name: String = "GlobalVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  249. val gradients: Gradients.type
    Definition Classes
    API
  250. def greater[T](x: ops.Output[T], y: ops.Output[T], name: String = "Greater")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Boolean]
    Definition Classes
    Math
  251. def greaterEqual[T](x: ops.Output[T], y: ops.Output[T], name: String = "GreaterEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Boolean]
    Definition Classes
    Math
  252. def group(inputs: Set[ops.UntypedOp], name: String = "Group"): ops.Op[Unit, Unit]
    Definition Classes
    ControlFlow
  253. def guaranteeConstant[T](input: ops.Output[T], name: String = "GuaranteeConstant"): ops.Output[T]
    Definition Classes
    Constructors
  254. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  255. def identity[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "Identity")(implicit arg0: core.types.TF[T]): OL[T]
    Definition Classes
    Manipulation
  256. def igamma[T](a: ops.Output[T], x: ops.Output[T], name: String = "Igamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  257. def igammaGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  258. def igammac[T](a: ops.Output[T], x: ops.Output[T], name: String = "Igammac")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  259. def igammacGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  260. def imagDouble[OL[A] <: ops.OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Imag")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
    Definition Classes
    Math
  261. def imagDoubleGradient(op: ops.Op[ops.Output[core.types.ComplexDouble], ops.Output[Double]], outputGradient: ops.Output[Double]): ops.Output[core.types.ComplexDouble]
    Attributes
    protected
    Definition Classes
    Math
  262. def imagFloat[OL[A] <: ops.OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Imag")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
    Definition Classes
    Math
  263. def imagFloatGradient(op: ops.Op[ops.Output[core.types.ComplexFloat], ops.Output[Float]], outputGradient: ops.Output[Float]): ops.Output[core.types.ComplexFloat]
    Attributes
    protected
    Definition Classes
    Math
  264. def immutableConstant[T](shape: core.Shape, memoryRegionName: String, name: String = "ImmutableConstant")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  265. def inTopK[I](predictions: ops.Output[Float], targets: ops.Output[I], k: ops.Output[I], name: String = "InTopK")(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): ops.Output[Boolean]
    Definition Classes
    NN
  266. def incompleteBeta[T](a: ops.Output[T], b: ops.Output[T], x: ops.Output[T], name: String = "IncompleteBeta")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  267. def incompleteBetaGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  268. def indexTableFromFile[K](filename: String, keysDataType: core.types.DataType[K], delimiter: String = "\t", vocabularySize: Int = -1, defaultValue: Long = -1L, numOOVBuckets: Int = 0, hashSpecification: HashSpecification = FAST_HASH, name: String = "IndexTableFromFile")(implicit arg0: core.types.TF[K], arg1: core.types.IsStringOrInteger[K]): ops.lookup.LookupTable[K, Long]
    Definition Classes
    Lookup
  269. def indexedSlicesMask[T](input: ops.OutputIndexedSlices[T], maskIndices: ops.Output[Int], name: String = "IndexedSlicesMask")(implicit arg0: core.types.TF[T]): ops.OutputIndexedSlices[T]
    Definition Classes
    Masking
  270. def initializationScope[R](block: => R): R
    Definition Classes
    API
  271. def inplaceAdd[T](x: ops.Output[T], i: Option[ops.Output[Int]], v: ops.Output[T], name: String = "InplaceAdd")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Inplace
  272. def inplaceSubtract[T](x: ops.Output[T], i: Option[ops.Output[Int]], v: ops.Output[T], name: String = "InplaceSubtract")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Inplace
  273. def inplaceUpdate[T](x: ops.Output[T], i: Option[ops.Output[Int]], v: ops.Output[T], name: String = "InplaceUpdate")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Inplace
  274. def invertPermutation[I](input: ops.Output[I], name: String = "InvertPermutation")(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): ops.Output[I]
    Definition Classes
    Manipulation
  275. def isFinite[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "IsFinite")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[Boolean]
    Definition Classes
    Math
  276. def isInf[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "IsInf")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[Boolean]
    Definition Classes
    Math
  277. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  278. def isNaN[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "IsNaN")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[Boolean]
    Definition Classes
    Math
  279. def l2Loss[T](input: ops.Output[T], name: String = "L2Loss")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  280. def l2LossGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  281. def l2Normalize[T, I](x: ops.Output[T], axes: ops.Output[I], epsilon: Float = 1e-12f, name: String = "L2Normalize")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    NN
  282. def less[T](x: ops.Output[T], y: ops.Output[T], name: String = "Less")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Boolean]
    Definition Classes
    Math
  283. def lessEqual[T](x: ops.Output[T], y: ops.Output[T], name: String = "LessEqual")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Boolean]
    Definition Classes
    Math
  284. def linear[T](x: ops.Output[T], weights: ops.Output[T], bias: ops.Output[T] = null, name: String = "Linear")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    NN
  285. def linspace[T, I](start: ops.Output[T], stop: ops.Output[T], numberOfValues: ops.Output[I], name: String = "LinSpace")(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrFloatOrDouble[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  286. def listDiff[T, I](x: ops.Output[T], y: ops.Output[T], indicesDataType: core.types.DataType[I], name: String = "ListDiff")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Definition Classes
    Masking
  287. def localResources: Set[ResourceWrapper]
    Definition Classes
    Resources
  288. def localResponseNormalization[T](input: ops.Output[T], depthRadius: Int = 5, bias: Float = 1.0f, alpha: Float = 1.0f, beta: Float = 0.5f, name: String = "LocalResponseNormalization")(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrHalfOrFloat[T]): ops.Output[T]
    Definition Classes
    NN
  289. def localVariable[T](name: String, shape: core.Shape = null, initializer: VariableInitializer = null, regularizer: VariableRegularizer = null, reuse: Reuse = ReuseOrCreateNew, collections: Set[Key[Variable[Any]]] = Set.empty, cachingDevice: (ops.OpSpecification) => String = null)(implicit arg0: core.types.TF[T]): Variable[T]
    Definition Classes
    API
  290. def localVariablesInitializer(name: String = "LocalVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  291. def log[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Log")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  292. def log1p[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Log1p")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  293. def log1pGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  294. def logGamma[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "LogGamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  295. def logGammaGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  296. def logGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  297. def logPoissonLoss[T](logPredictions: ops.Output[T], targets: ops.Output[T], computeFullLoss: Boolean = false, name: String = "LogPoissonLoss")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  298. def logSigmoid[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "LogSigmoid")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  299. def logSoftmax[T](logits: ops.Output[T], axis: Int = -1, name: String = "LogSoftmax")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  300. def logSoftmaxGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  301. def logSumExp[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "LogSumExp")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  302. def logicalAnd(x: ops.Output[Boolean], y: ops.Output[Boolean], name: String = "LogicalAnd"): ops.Output[Boolean]
    Definition Classes
    Math
  303. def logicalNot(x: ops.Output[Boolean], name: String = "LogicalNot"): ops.Output[Boolean]
    Definition Classes
    Math
  304. def logicalOr(x: ops.Output[Boolean], y: ops.Output[Boolean], name: String = "LogicalOr"): ops.Output[Boolean]
    Definition Classes
    Math
  305. def logicalXOr(x: ops.Output[Boolean], y: ops.Output[Boolean], name: String = "LogicalXOr"): ops.Output[Boolean]
    Definition Classes
    Math
  306. def lrn[T](input: ops.Output[T], depthRadius: Int = 5, bias: Float = 1.0f, alpha: Float = 1.0f, beta: Float = 0.5f, name: String = "LRN")(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrHalfOrFloat[T]): ops.Output[T]
    Definition Classes
    NN
  307. def lrnGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsTruncatedHalfOrHalfOrFloat[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  308. def magnitudeDouble[OL[A] <: ops.OutputLike[A]](x: OL[core.types.ComplexDouble], name: String = "Magnitude")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
    Definition Classes
    Math
  309. def magnitudeDoubleGradient(op: ops.Op[ops.Output[core.types.ComplexDouble], ops.Output[Double]], outputGradient: ops.Output[Double]): ops.Output[core.types.ComplexDouble]
    Attributes
    protected
    Definition Classes
    Math
  310. def magnitudeFloat[OL[A] <: ops.OutputLike[A]](x: OL[core.types.ComplexFloat], name: String = "Magnitude")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
    Definition Classes
    Math
  311. def magnitudeFloatGradient(op: ops.Op[ops.Output[core.types.ComplexFloat], ops.Output[Float]], outputGradient: ops.Output[Float]): ops.Output[core.types.ComplexFloat]
    Attributes
    protected
    Definition Classes
    Math
  312. def matmul[T](a: ops.Output[T], b: ops.Output[T], transposeA: Boolean = false, transposeB: Boolean = false, conjugateA: Boolean = false, conjugateB: Boolean = false, aIsSparse: Boolean = false, bIsSparse: Boolean = false, name: String = "MatMul")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  313. def matmulGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  314. def matrixBandPart[T, I](input: ops.Output[T], numSubDiagonals: ops.Output[I], numSuperDiagonals: ops.Output[I], name: String = "MatrixBandPart")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  315. def matrixBandPartGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  316. def matrixDiag[T](diagonal: ops.Output[T], name: String = "MatrixDiag")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Math
  317. def matrixDiagGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  318. def matrixDiagPart[T](input: ops.Output[T], name: String = "MatrixDiagPart")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Math
  319. def matrixDiagPartGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  320. def matrixSetDiag[T](input: ops.Output[T], diagonal: ops.Output[T], name: String = "MatrixSetDiag")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Math
  321. def matrixSetDiagGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  322. def matrixTranspose[T](input: ops.Output[T], conjugate: Boolean = false, name: String = "MatrixTranspose")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  323. def max[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "Max")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  324. def maxPool[T](input: ops.Output[T], windowSize: ops.Output[Int], strides: ops.Output[Int], padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "MaxPool")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    NN
  325. def maxPoolGrad[T](originalInput: ops.Output[T], originalOutput: ops.Output[T], outputGradient: ops.Output[T], windowSize: ops.Output[Int], strides: ops.Output[Int], padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "MaxPoolGrad")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    NN
  326. def maxPoolGradGrad[T](originalInput: ops.Output[T], originalOutput: ops.Output[T], outputGradient: ops.Output[T], windowSize: ops.Output[Int], strides: ops.Output[Int], padding: ConvPaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "MaxPoolGradGrad")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    NN
  327. def maxPoolGradient[T](op: ops.Op[(ops.Output[T], ops.Output[Int], ops.Output[Int]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): (ops.Output[T], ops.Output[Int], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    NN
  328. def maxPoolHessian[T](op: ops.Op[(ops.Output[T], ops.Output[T], ops.Output[T], ops.Output[Int], ops.Output[Int]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): (ops.Output[T], ops.Output[T], ops.Output[T], ops.Output[Int], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    NN
  329. def maxPoolHessianGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T], ops.Output[T], ops.Output[Int], ops.Output[Int]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): (ops.Output[T], ops.Output[T], ops.Output[T], ops.Output[Int], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    NN
  330. def maximum[T](x: ops.Output[T], y: ops.Output[T], name: String = "Maximum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  331. def maximumGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  332. def mean[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "Mean")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  333. def meanGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  334. def meshGrid[T](inputs: Seq[ops.Output[T]], useCartesianIndexing: Boolean = true, name: String = "MeshGrid")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): Seq[ops.Output[T]]
    Definition Classes
    Basic
  335. def metricVariablesInitializer(name: String = "MetricVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  336. def min[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "Min")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  337. def minOrMaxGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  338. def minimum[T](x: ops.Output[T], y: ops.Output[T], name: String = "Minimum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  339. def minimumGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  340. def mirrorPadGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  341. def mirrorPadHessian[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  342. def mod[T](x: ops.Output[T], y: ops.Output[T], name: String = "Mod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  343. def modelVariablesInitializer(name: String = "ModelVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  344. def moments[T](input: ops.Output[T], axes: Seq[Int], weights: ops.Output[T] = null, keepDims: Boolean = false, name: String = "Moments")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Definition Classes
    Statistics
  345. def momentsFromSufficientStatistics[T](counts: ops.Output[T], meanSS: ops.Output[T], varSS: ops.Output[T], shift: ops.Output[T] = null, name: String = "MomentsFromSufficientStatistics")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Definition Classes
    Statistics
  346. def multiply[T](x: ops.Output[T], y: ops.Output[T], name: String = "Multiply")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  347. def multiplyGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  348. def nameScope[R](nameScope: String)(block: => R): R
    Definition Classes
    API
  349. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  350. def negate[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Negate")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  351. def negateGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  352. def newStack(maxSize: ops.Output[Int], elementType: core.types.DataType[Any], stackName: String = "", name: String = "NewStack"): ops.Output[core.types.Resource]
    Definition Classes
    DataFlow
  353. def noOp(name: String = "NoOp"): ops.Op[Unit, Unit]
    Definition Classes
    ControlFlow
  354. def notEqual[T](x: ops.Output[T], y: ops.Output[T], name: String = "NotEqual")(implicit arg0: core.types.TF[T]): ops.Output[Boolean]
    Definition Classes
    Math
  355. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  356. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  357. def oneHot[T, I](indices: ops.Output[I], depth: ops.Output[Int], onValue: ops.Output[T] = null, offValue: ops.Output[T] = null, axis: Int = -1, name: String = "OneHot")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLongOrUByte[I]): ops.Output[T]
    Definition Classes
    Basic
  358. def ones[T, I](dataType: core.types.DataType[T], shape: ops.Output[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Constructors
  359. def ones[T](dataType: core.types.DataType[T], shape: ops.Output[Int]): ops.Output[T]
    Definition Classes
    Constructors
  360. def ones[T, I](shape: ops.Output[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Constructors
  361. def ones[T](shape: ops.Output[Int])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  362. def onesLike[T](input: ops.Output[T], optimize: Boolean = true, name: String = "OnesLike"): ops.Output[T]
    Definition Classes
    Constructors
  363. def pad[T, I](input: ops.Output[T], paddings: ops.Output[I], mode: ops.basic.Manipulation.PaddingMode = Manipulation.ConstantPadding(Some(Tensor(0).reshape(Shape()))), name: String = "Pad")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  364. def padGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Manipulation
  365. def parallelStack[T](inputs: Seq[ops.Output[T]], name: String = "ParallelStack")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  366. def parseExample[T, R](serialized: ops.Output[String], features: T, debugNames: ops.Output[String] = Tensor.fill[String](Shape())("").toOutput, name: String = "ParseExample")(implicit ev: Aux[T, R]): R
    Definition Classes
    Parsing
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  367. def parseSingleExample[T, R](serialized: ops.Output[String], features: T, name: String = "ParseSingleExample")(implicit ev: Aux[T, R]): R
    Definition Classes
    Parsing
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  368. def placeholder[T](shape: core.Shape = null, name: String = "Placeholder")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  369. def placeholderWithDefault[T](default: ops.Output[T], shape: core.Shape, name: String = "PlaceholderWithDefault")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  370. def polygamma[T](n: ops.Output[T], x: ops.Output[T], name: String = "Polygamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  371. def polygammaGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  372. def pow[T](x: ops.Output[T], y: ops.Output[T], name: String = "Pow")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  373. def powGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  374. def preventGradient[T](input: ops.Output[T], message: String = "", name: String = "PreventGradient")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Basic
  375. def preventGradientGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradients: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Basic
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  376. def print[T, OL[A] <: ops.OutputLike[A]](input: OL[T], data: Seq[ops.Output[Any]], message: String = "", firstN: Int = -1, summarize: Int = 3, name: String = "Print")(implicit arg0: core.types.TF[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Logging
  377. def printGradient[T](op: ops.Op[(ops.Output[T], Seq[ops.Output[Any]]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): (ops.Output[T], Seq[ops.Output[Any]])
    Attributes
    protected
    Definition Classes
    Logging
  378. def prod[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "Prod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  379. def prodGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Definition Classes
    Math
  380. def randomNormal[T, I](shape: ops.Output[I], mean: ops.Output[T] = null, standardDeviation: ops.Output[T] = null, seed: Option[Int] = None, name: String = "RandomNormal")(implicit arg0: FloatDefault[T], arg1: core.types.TF[T], arg2: core.types.IsHalfOrFloatOrDouble[T], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Random
  381. def randomShuffle[T](value: ops.Output[T], seed: Option[Int] = None, name: String = "RandomShuffle")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Random
  382. def randomTruncatedNormal[T, I](shape: ops.Output[I], mean: ops.Output[T] = null, standardDeviation: ops.Output[T] = null, seed: Option[Int] = None, name: String = "RandomTruncatedNormal")(implicit arg0: FloatDefault[T], arg1: core.types.TF[T], arg2: core.types.IsHalfOrFloatOrDouble[T], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Random
  383. def randomUniform[T, I](shape: ops.Output[I], minValue: ops.Output[T] = null, maxValue: ops.Output[T] = null, seed: Option[Int] = None, name: String = "RandomUniform")(implicit arg0: FloatDefault[T], arg1: core.types.TF[T], arg2: core.types.IsIntOrLongOrHalfOrFloatOrDouble[T], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Random
  384. def range[T](start: ops.Output[T], limit: ops.Output[T], delta: ops.Output[T] = null, name: String = "Range")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    Math
  385. def rank[T, OL[A] <: ops.OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Rank")(implicit arg0: core.types.TF[T]): ops.Output[Int]
    Definition Classes
    Manipulation
  386. def realDivide[T](x: ops.Output[T], y: ops.Output[T], name: String = "RealDivide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  387. def realDivideGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  388. def realDouble[OL[A] <: ops.OutputLike[A]](input: OL[core.types.ComplexDouble], name: String = "Real")(implicit ev: Aux[OL, core.types.ComplexDouble]): OL[Double]
    Definition Classes
    Math
  389. def realDoubleGradient(op: ops.Op[ops.Output[core.types.ComplexDouble], ops.Output[Double]], outputGradient: ops.Output[Double]): ops.Output[core.types.ComplexDouble]
    Attributes
    protected
    Definition Classes
    Math
  390. def realFloat[OL[A] <: ops.OutputLike[A]](input: OL[core.types.ComplexFloat], name: String = "Real")(implicit ev: Aux[OL, core.types.ComplexFloat]): OL[Float]
    Definition Classes
    Math
  391. def realFloatGradient(op: ops.Op[ops.Output[core.types.ComplexFloat], ops.Output[Float]], outputGradient: ops.Output[Float]): ops.Output[core.types.ComplexFloat]
    Attributes
    protected
    Definition Classes
    Math
  392. def reciprocal[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Reciprocal")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  393. def reciprocalGradient[T](op: ops.Op[ops.OutputLike[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.OutputLike[T]
    Attributes
    protected
    Definition Classes
    Math
  394. def reciprocalHessian[T](op: ops.Op[(ops.Output[T], ops.OutputLike[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.OutputLike[T])
    Attributes
    protected
    Definition Classes
    Math
  395. def reductionAxes[T, I, OL[A] <: ops.OutputLike[A]](tensor: OL[T], axes: ops.Output[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[I]
    Attributes
    protected
    Definition Classes
    Math
  396. def regexReplace(input: ops.Output[String], pattern: ops.Output[String], rewrite: ops.Output[String], replaceGlobal: Boolean = true, name: String = "RegexReplace"): ops.Output[String]
    Definition Classes
    Text
  397. def relu[T](input: ops.Output[T], alpha: Float = 0.0f, name: String = "ReLU")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Definition Classes
    NN
  398. def relu6[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "ReLU6")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    NN
  399. def relu6Gradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  400. def relu6Hessian[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  401. def reluGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  402. def reluHessian[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  403. def requiredSpaceToBatchPaddingsAndCrops(inputShape: ops.Output[Int], blockShape: ops.Output[Int], basePaddings: ops.Output[Int] = null, name: String = "RequiredSpaceToBatchPaddings"): (ops.Output[Int], ops.Output[Int])
    Definition Classes
    Manipulation
  404. def reshape[T, I](input: ops.Output[T], shape: ops.Output[I], name: String = "Reshape")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  405. def reshapeGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  406. def reshapeToInput[T](input: ops.Output[T], gradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Manipulation
  407. def reverse[T, I](input: ops.Output[T], axes: ops.Output[I], name: String = "Reverse")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  408. def reverseGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  409. def reverseSequence[T, I](input: ops.Output[T], sequenceLengths: ops.Output[I], sequenceAxis: Int, batchAxis: Int = 0, name: String = "ReverseSequence")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  410. def reverseSequenceGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  411. def round[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Round")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  412. def roundInt[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "RoundInt")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  413. def rsqrt[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Rqsrt")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  414. def rsqrtGradient[T](op: ops.Op[ops.OutputLike[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.OutputLike[T]
    Attributes
    protected
    Definition Classes
    Math
  415. def rsqrtHessian[T](op: ops.Op[(ops.Output[T], ops.OutputLike[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.OutputLike[T])
    Attributes
    protected
    Definition Classes
    Math
  416. def safeShapeDiv(x: ops.Output[Int], y: ops.Output[Int]): ops.Output[Int]
    Attributes
    protected
    Definition Classes
    Math
  417. def saver(saveables: Set[Saveable] = null, reshape: Boolean = false, sharded: Boolean = false, maxToKeep: Int = 5, keepCheckpointEveryNHours: Float = 10000.0f, restoreSequentially: Boolean = false, filename: String = "model", builder: SaverDefBuilder = DefaultSaverDefBuilder, allowEmpty: Boolean = false, writerVersion: WriterVersion = V2, saveRelativePaths: Boolean = false, padGlobalStep: Boolean = false, name: String = "Saver"): Saver
    Definition Classes
    API
  418. def scalarMul[T, OL[A] <: ops.OutputLike[A]](scalar: ops.Output[T], tensor: OL[T], name: String = "ScalarMul")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  419. def scatterND[T, I](indices: ops.Output[I], updates: ops.Output[T], shape: ops.Output[I], name: String = "ScatterND")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  420. def scatterNDGradient[T, I](op: ops.Op[(ops.Output[I], ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[I], ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  421. def segmentMax[T, I](data: ops.Output[T], segmentIndices: ops.Output[I], name: String = "SegmentMax")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  422. def segmentMean[T, I](data: ops.Output[T], segmentIndices: ops.Output[I], name: String = "SegmentMean")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  423. def segmentMeanGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  424. def segmentMin[T, I](data: ops.Output[T], segmentIndices: ops.Output[I], name: String = "SegmentMin")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  425. def segmentMinOrMaxGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  426. def segmentProd[T, I](data: ops.Output[T], segmentIndices: ops.Output[I], name: String = "SegmentProd")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  427. def segmentSum[T, I](data: ops.Output[T], segmentIndices: ops.Output[I], name: String = "SegmentSum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  428. def segmentSumGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  429. def select[T](condition: ops.Output[Boolean], x: ops.Output[T], y: ops.Output[T], name: String = "Select")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Math
  430. def selectGradient[T](op: ops.Op[(ops.Output[Boolean], ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): (ops.Output[Boolean], ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  431. def selu[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "SELU")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    NN
  432. def seluGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  433. def seluHessian[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  434. def sequenceLoss[T, L](logits: ops.Output[T], labels: ops.Output[L], lossFn: (ops.Output[T], ops.Output[L]) => ops.Output[T], weights: ops.Output[T] = null, averageAcrossTimeSteps: Boolean = true, averageAcrossBatch: Boolean = true, name: String = "SequenceLoss")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], arg2: core.types.TF[L]): ops.Output[T]
    Definition Classes
    NN
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  435. def sequenceMask[T](lengths: ops.Output[T], maxLength: ops.Output[T] = null, name: String = "SequenceMask")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): ops.Output[Boolean]
    Definition Classes
    Masking
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  436. def setCurrentGraphRandomSeed(value: Int): Unit
    Definition Classes
    API
  437. def setDifference[A, B, T](a: A, b: B, aMinusB: Boolean = true, validateIndices: Boolean = true, name: String = "SetDifference")(implicit ev: Aux[A, B, T], evSupported: core.types.TF[T]): ops.SparseOutput[T]
    Definition Classes
    Sets
  438. def setIntersection[A, B, T](a: A, b: B, validateIndices: Boolean = true, name: String = "SetIntersection")(implicit ev: Aux[A, B, T], evSupported: core.types.TF[T]): ops.SparseOutput[T]
    Definition Classes
    Sets
  439. def setSize[T](input: ops.SparseOutput[T], validateIndices: Boolean = true, name: String = "SetSize")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): ops.Output[Int]
    Definition Classes
    Sets
  440. def setUnion[A, B, T](a: A, b: B, validateIndices: Boolean = true, name: String = "SetUnion")(implicit ev: Aux[A, B, T], evSupported: core.types.TF[T]): ops.SparseOutput[T]
    Definition Classes
    Sets
  441. def shape[T, OL[A] <: ops.OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Shape")(implicit arg0: core.types.TF[T]): ops.Output[Int]
    Definition Classes
    Manipulation
  442. def shapeFullySpecifiedAndEqual[T](x: ops.Output[T], y: ops.Output[T], gradient: ops.Output[T])(implicit arg0: core.types.TF[T]): Boolean
    Attributes
    protected
    Definition Classes
    Math
  443. def shapeN[T, I](inputs: Seq[ops.Output[T]], dataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLong[I]): Seq[ops.Output[I]]
    Definition Classes
    Manipulation
  444. def shapeN[T, I](inputs: Seq[ops.Output[T]])(implicit arg0: core.types.TF[T], arg1: IntDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Seq[ops.Output[I]]
    Definition Classes
    Manipulation
  445. def sharedResources: Set[ResourceWrapper]
    Definition Classes
    Resources
  446. def sigmoid[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Sigmoid")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  447. def sigmoidCrossEntropy[T](logits: ops.Output[T], labels: ops.Output[T], weights: ops.Output[T] = null, name: String = "SigmoidCrossEntropy")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  448. def sigmoidGradient[T](op: ops.Op[ops.OutputLike[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.OutputLike[T]
    Attributes
    protected
    Definition Classes
    Math
  449. def sigmoidHessian[T](op: ops.Op[(ops.Output[T], ops.OutputLike[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.OutputLike[T])
    Attributes
    protected
    Definition Classes
    Math
  450. def sign[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Sign")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  451. def signGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  452. def sin[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Sin")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  453. def sinGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  454. def sinh[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Sinh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  455. def sinhGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  456. def size[T, OL[A] <: ops.OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Size")(implicit arg0: core.types.TF[T]): ops.Output[Long]
    Definition Classes
    Manipulation
  457. def slice[T, I](input: ops.Output[T], begin: ops.Output[I], size: ops.Output[I], name: String = "Slice")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  458. def sliceGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  459. def softmax[T](logits: ops.Output[T], axis: Int = -1, name: String = "Softmax")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  460. def softmaxCrossEntropy[T](logits: ops.Output[T], labels: ops.Output[T], axis: Int = -1, name: String = "SoftmaxCrossEntropy")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Definition Classes
    NN
  461. def softmaxCrossEntropyGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), (ops.Output[T], ops.Output[T])], outputGradient: (ops.Output[T], ops.Output[T]))(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  462. def softmaxGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  463. def softmaxHelper[T](logits: ops.Output[T], opType: String, axis: Int = -1, name: String = "Softmax")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  464. def softplus[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "Softplus")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    NN
  465. def softplusGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  466. def softplusHessian[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    NN
  467. def softsign[T, OL[A] <: ops.OutputLike[A]](input: OL[T], name: String = "Softsign")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    NN
  468. def softsignGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    NN
  469. def spaceToBatch[T, I](input: ops.Output[T], blockSize: Int, paddings: ops.Output[I], name: String = "SpaceToBatch")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  470. def spaceToBatchND[T, I1, I2](input: ops.Output[T], blockShape: ops.Output[I1], paddings: ops.Output[I2], name: String = "SpaceToBatchND")(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]): ops.Output[T]
    Definition Classes
    Manipulation
  471. def spaceToBatchNDGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(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]): (ops.Output[T], ops.Output[I1], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Manipulation
  472. def spaceToDepth[T](input: ops.Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "SpaceToDepth")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  473. def spaceToDepthGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Manipulation
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.jni.InvalidArgumentException])
  474. def sparseEmbeddingLookup[T, I](parameters: EmbeddingMap[T], sparseIds: ops.SparseOutput[I], sparseWeights: ops.SparseOutput[T] = null, partitionStrategy: PartitionStrategy = ModStrategy, combiner: Combiner = SumSqrtNCombiner, maxNorm: ops.Output[T] = null, name: String = "SparseEmbeddingLookup")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Embedding
  475. def sparseMatmulGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  476. def sparsePlaceholder[T](shape: core.Shape = null, name: String = "SparsePlaceholder")(implicit arg0: core.types.TF[T]): ops.SparseOutput[T]
    Definition Classes
    Constructors
  477. def sparseSegmentMean[T, I1, I2](data: ops.Output[T], indices: ops.Output[I1], segmentIndices: ops.Output[Int], numSegments: ops.Output[I2] = null, name: String = "SparseSegmentMean")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: IntDefault[I2], arg5: core.types.TF[I2], arg6: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  478. def sparseSegmentMeanGradient[T, I1](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[Int]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1]): (ops.Output[T], ops.Output[I1], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    Math
  479. def sparseSegmentMeanWithNumSegmentsGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[Int], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (ops.Output[T], ops.Output[I1], ops.Output[Int], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Math
  480. def sparseSegmentSum[T, I1, I2](data: ops.Output[T], indices: ops.Output[I1], segmentIndices: ops.Output[Int], numSegments: ops.Output[I2] = null, name: String = "SparseSegmentSum")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: IntDefault[I2], arg5: core.types.TF[I2], arg6: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  481. def sparseSegmentSumGradient[T, I1](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[Int]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1]): (ops.Output[T], ops.Output[I1], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    Math
  482. def sparseSegmentSumSqrtN[T, I1, I2](data: ops.Output[T], indices: ops.Output[I1], segmentIndices: ops.Output[Int], numSegments: ops.Output[I2] = null, name: String = "SparseSegmentSumSqrtN")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: IntDefault[I2], arg5: core.types.TF[I2], arg6: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  483. def sparseSegmentSumSqrtNGradient[T, I1](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[Int]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1]): (ops.Output[T], ops.Output[I1], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    Math
  484. def sparseSegmentSumSqrtNWithNumSegmentsGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[Int], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (ops.Output[T], ops.Output[I1], ops.Output[Int], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Math
  485. def sparseSegmentSumWithNumSegmentsGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[Int], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (ops.Output[T], ops.Output[I1], ops.Output[Int], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Math
  486. def sparseSoftmaxCrossEntropy[T, I](logits: ops.Output[T], labels: ops.Output[I], axis: Int = -1, name: String = "SparseSoftmaxCrossEntropy")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    NN
  487. def sparseSoftmaxCrossEntropyGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), (ops.Output[T], ops.Output[T])], outputGradient: (ops.Output[T], ops.Output[T]))(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    NN
  488. def split[T, I](input: ops.Output[T], splitSizes: ops.Output[I], axis: ops.Output[Int] = 0, name: String = "Split")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Seq[ops.Output[T]]
    Definition Classes
    Manipulation
  489. def splitEvenly[T](input: ops.Output[T], numSplits: Int, axis: ops.Output[Int] = 0, name: String = "Split")(implicit arg0: core.types.TF[T]): Seq[ops.Output[T]]
    Definition Classes
    Manipulation
  490. def splitEvenlyGradient[T](op: ops.Op[(ops.Output[Int], ops.Output[T]), Seq[ops.Output[T]]], outputGradient: Seq[ops.Output[T]])(implicit arg0: core.types.TF[T]): (ops.Output[Int], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Manipulation
  491. def splitGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I], ops.Output[Int]), Seq[ops.Output[T]]], outputGradient: Seq[ops.Output[T]])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    Manipulation
  492. def sqrt[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Sqrt")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  493. def sqrtGradient[T](op: ops.Op[ops.OutputLike[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.OutputLike[T]
    Attributes
    protected
    Definition Classes
    Math
  494. def sqrtHessian[T](op: ops.Op[(ops.Output[T], ops.OutputLike[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.OutputLike[T])
    Attributes
    protected
    Definition Classes
    Math
  495. def square[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Reciprocal")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  496. def squareGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  497. def squaredDifference[T](x: ops.Output[T], y: ops.Output[T], name: String = "SquaredDifference")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  498. def squaredDifferenceGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  499. def squeeze[T](input: ops.Output[T], axes: Seq[Int] = null, name: String = "Squeeze")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  500. def squeezeGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Manipulation
  501. def stack[T](inputs: Seq[ops.Output[T]], axis: Int = 0, name: String = "Stack")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  502. def stackClose(stackHandle: ops.Output[core.types.Resource], name: String = "StackClose"): ops.Op[ops.Output[core.types.Resource], Unit]
    Definition Classes
    DataFlow
  503. def stackGradient[T](op: ops.Op[Seq[ops.Output[T]], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T]): Seq[ops.Output[T]]
    Attributes
    protected
    Definition Classes
    Manipulation
  504. def stackPop[T](stackHandle: ops.Output[core.types.Resource], elementType: core.types.DataType[T], name: String = "StackPop")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    DataFlow
  505. def stackPush[T](stackHandle: ops.Output[core.types.Resource], element: ops.Output[T], swapMemory: Boolean = false, name: String = "StackPush")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    DataFlow
  506. def stopGradient[T](input: ops.Output[T], name: String = "StopGradient")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Basic
  507. def stridedSlice[T, I](input: ops.Output[T], begin: ops.Output[I], end: ops.Output[I], strides: ops.Output[I] = null, beginMask: Long = 0, endMask: Long = 0, ellipsisMask: Long = 0, newAxisMask: Long = 0, shrinkAxisMask: Long = 0, name: String = "StridedSlice")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  508. def stridedSliceGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I], ops.Output[I], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I], ops.Output[I], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  509. def stridedSliceHessian[T, I](op: ops.Op[(ops.Output[I], ops.Output[I], ops.Output[I], ops.Output[I], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[I], ops.Output[I], ops.Output[I], ops.Output[I], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Manipulation
  510. def stringJoin(inputs: Seq[ops.Output[String]], separator: String = "", name: String = "StringJoin"): ops.Output[String]
    Definition Classes
    Text
  511. def stringSplit(input: ops.Output[String], delimiter: ops.Output[String] = Tensor.fill[String](Shape())(" ").toOutput, skipEmpty: Boolean = true, name: String = "StringSplit"): ops.SparseOutput[String]
    Definition Classes
    Text
  512. def stringToHashBucketFast(input: ops.Output[String], numBuckets: Int, name: String = "StringToHashBucketFast"): ops.Output[Long]
    Definition Classes
    Text
  513. def stringToHashBucketStrong(input: ops.Output[String], numBuckets: Int, key1: Long, key2: Long, name: String = "StringToHashBucketStrong"): ops.Output[Long]
    Definition Classes
    Text
  514. def stringToNumber[T](data: ops.Output[String], name: String = "StringToNumber")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Parsing
  515. def subtract[T](x: ops.Output[T], y: ops.Output[T], name: String = "Subtract")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  516. def subtractGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  517. def sufficientStatistics[T, I](input: ops.Output[T], axes: ops.Output[I], shift: ops.Output[T] = null, keepDims: Boolean = false, name: String = "SufficientStatistics")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[T], ops.Output[T], ops.Output[T])
    Definition Classes
    Statistics
  518. def sum[T, I](input: ops.Output[T], axes: ops.Output[I] = null, keepDims: Boolean = false, name: String = "Sum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Math
  519. def sumGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Math
  520. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  521. def tableInitializers: Set[ops.UntypedOp]
    Definition Classes
    Lookup
  522. def tan[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Tan")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  523. def tanGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  524. def tanh[T, OL[A] <: ops.OutputLike[A]](x: OL[T], name: String = "Tanh")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], ev: Aux[OL, T]): OL[T]
    Definition Classes
    Math
  525. def tanhGradient[T](op: ops.Op[ops.OutputLike[T], ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.OutputLike[T]
    Attributes
    protected
    Definition Classes
    Math
  526. def tanhHessian[T](op: ops.Op[(ops.Output[T], ops.OutputLike[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.OutputLike[T])
    Attributes
    protected
    Definition Classes
    Math
  527. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], axesA: Seq[Int], axesB: Seq[Int], name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  528. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], axesA: Seq[Int], axesB: Seq[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  529. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], numAxes: Int, name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  530. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], numAxes: Int)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  531. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], axesA: ops.Output[Int], axesB: ops.Output[Int], name: String = "TensorDot")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  532. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], axesA: ops.Output[Int], axesB: ops.Output[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  533. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], numAxes: ops.Output[Int], name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  534. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], numAxes: ops.Output[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  535. def tile[T, I](input: ops.Output[T], multiples: ops.Output[I], name: String = "Tile")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  536. def tileGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.OutputLike[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  537. def timestamp(name: String = "Timestamp"): ops.Output[Double]
    Definition Classes
    Logging
  538. def toString(): String
    Definition Classes
    AnyRef → Any
  539. def topK[T](input: ops.Output[T], k: ops.Output[Int], sorted: Boolean = true, name: String = "TopK")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[Int])
    Definition Classes
    NN
  540. def topKGradient[T](op: ops.Op[(ops.Output[T], ops.Output[Int]), (ops.Output[T], ops.Output[Int])], outputGradient: (ops.Output[T], ops.Output[Int]))(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T]): (ops.Output[T], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    NN
  541. def trace[T](input: ops.Output[T], name: String = "Trace")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[T]
    Definition Classes
    Math
  542. def trainableVariablesInitializer(name: String = "TrainableVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  543. def transpose[T, I](input: ops.Output[T], permutation: ops.Output[I] = null, conjugate: Boolean = false, name: String = "Transpose")(implicit arg0: core.types.TF[T], arg1: IntDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Manipulation
  544. def transposeConjugateToAdjoint[T](tensor: ops.Output[T], transpose: Boolean, conj: Boolean)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], Boolean)
    Attributes
    protected
    Definition Classes
    Math
  545. def transposeConjugateToTranspose[T](tensor: ops.Output[T], transpose: Boolean, conj: Boolean)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], Boolean)
    Attributes
    protected
    Definition Classes
    Math
  546. def transposeGradient[T, I](op: ops.Op[(ops.Output[T], ops.Output[I]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (ops.Output[T], ops.Output[I])
    Attributes
    protected
    Definition Classes
    Manipulation
  547. def truncateDivide[T](x: ops.Output[T], y: ops.Output[T], name: String = "TruncateDivide")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  548. def truncateMod[T](x: ops.Output[T], y: ops.Output[T], name: String = "TruncateMod")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  549. def tuple[T, OL[A] <: ops.OutputLike[A]](inputs: Seq[OL[T]], controlInputs: Set[ops.UntypedOp] = Set.empty, name: String = "Tuple")(implicit arg0: core.types.TF[T]): Seq[OL[T]]
    Definition Classes
    ControlFlow
  550. def unique[T, I1, I2](input: ops.Output[T], axis: ops.Output[I1], indicesDataType: core.types.DataType[I2], name: String = "Unique")(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]): (ops.Output[T], ops.Output[I2])
    Definition Classes
    Basic
  551. def uniqueWithCounts[T, I1, I2](input: ops.Output[T], axis: ops.Output[I1], indicesDataType: core.types.DataType[I2], name: String = "UniqueWithCounts")(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]): (ops.Output[T], ops.Output[I2], ops.Output[I2])
    Definition Classes
    Basic
  552. def unsortedSegmentMax[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentMax")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  553. def unsortedSegmentMean[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentMean")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  554. def unsortedSegmentMin[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentMin")(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  555. def unsortedSegmentMinOrMaxGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsReal[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (ops.Output[T], ops.Output[I1], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Math
  556. def unsortedSegmentN[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Math
  557. def unsortedSegmentProd[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentProd")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  558. def unsortedSegmentProdGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (ops.Output[T], ops.Output[I1], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Math
  559. def unsortedSegmentSqrtN[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentSqrtN")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  560. def unsortedSegmentSum[T, I1, I2](data: ops.Output[T], segmentIndices: ops.Output[I1], segmentsNumber: ops.Output[I2], name: String = "UnsortedSegmentSum")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): ops.Output[T]
    Definition Classes
    Math
  561. def unsortedSegmentSumGradient[T, I1, I2](op: ops.Op[(ops.Output[T], ops.Output[I1], ops.Output[I2]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[I1], arg3: core.types.IsIntOrLong[I1], arg4: core.types.TF[I2], arg5: core.types.IsIntOrLong[I2]): (ops.Output[T], ops.Output[I1], ops.Output[I2])
    Attributes
    protected
    Definition Classes
    Math
  562. def unstack[T](input: ops.Output[T], number: Int = -1, axis: Int = 0, name: String = "Unstack")(implicit arg0: core.types.TF[T]): Seq[ops.Output[T]]
    Definition Classes
    Manipulation
    Annotations
    @throws(scala.this.throws.<init>$default$1[IndexOutOfBoundsException]) @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  563. def unstackGradient[T](op: ops.Op[ops.Output[T], Seq[ops.Output[T]]], outputGradient: Seq[ops.Output[T]])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Manipulation
  564. def updatedVariableScope[R](variableScope: VariableScope = VariableScope.current, reuse: VariableReuse = ReuseOrCreateNewVariable, initializer: VariableInitializer = null, regularizer: VariableRegularizer = null, cachingDevice: (ops.OpSpecification) => String = null, underlyingGetter: VariableGetter = null, isPure: Boolean = false)(block: => R): R
    Definition Classes
    API
  565. def variable[T](name: String, shape: core.Shape = null, initializer: VariableInitializer = null, regularizer: VariableRegularizer = null, trainable: Boolean = true, reuse: Reuse = ReuseOrCreateNew, collections: Set[Key[Variable[Any]]] = Set.empty, cachingDevice: (ops.OpSpecification) => String = null)(implicit arg0: core.types.TF[T]): Variable[T]
    Definition Classes
    API
  566. def variableGetter[R](getter: VariableGetter)(block: => R): R
    Definition Classes
    API
  567. def variableScope[R](name: String, reuse: VariableReuse = ReuseOrCreateNewVariable, initializer: VariableInitializer = null, regularizer: VariableRegularizer = null, cachingDevice: (ops.OpSpecification) => String = null, underlyingGetter: VariableGetter = null, isDefaultName: Boolean = false, isPure: Boolean = false)(block: => R): R
    Definition Classes
    API
  568. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  569. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  570. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  571. def where[T](input: ops.Output[T], name: String = "Where")(implicit arg0: core.types.TF[T], arg1: core.types.IsBooleanOrNumeric[T]): ops.Output[Long]
    Definition Classes
    Masking
  572. def whileLoop[T, S](predicateFn: (T) => ops.Output[Boolean], bodyFn: (T) => T, loopVariables: T, shapeInvariants: Option[S] = None, parallelIterations: Int = 10, enableBackPropagation: Boolean = true, swapMemory: Boolean = false, maximumIterations: ops.Output[Int] = null, name: String = "WhileLoop")(implicit evOutputToShape: Aux[T, S]): T
    Definition Classes
    ControlFlow
  573. def zeros[T, I](dataType: core.types.DataType[T], shape: ops.Output[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Constructors
  574. def zeros[T](dataType: core.types.DataType[T], shape: ops.Output[Int]): ops.Output[T]
    Definition Classes
    Constructors
  575. def zeros[T, I](shape: ops.Output[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    Constructors
  576. def zeros[T](shape: ops.Output[Int])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  577. def zerosFraction[T](input: ops.Output[T], name: String = "ZerosFraction")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): ops.Output[Float]
    Definition Classes
    Math
  578. def zerosLike[T](input: ops.Output[T], optimize: Boolean = true, name: String = "ZerosLike"): ops.Output[T]
    Definition Classes
    Constructors
  579. def zeta[T](x: ops.Output[T], q: ops.Output[T], name: String = "Zeta")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  580. def zetaGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  581. object data extends API
    Definition Classes
    API
  582. object image extends Image
    Definition Classes
    API
  583. object io extends Files
    Definition Classes
    API
  584. object learn extends API
  585. object metrics extends API
    Definition Classes
    API
  586. object sparse extends Sparse
    Definition Classes
    API
  587. object summary extends Summary
    Definition Classes
    API
  588. object train extends API
    Definition Classes
    API

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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

    (Since version 0.1) Use truncateDivide instead.

  3. def stringToHashBucket(input: ops.Output[String], numBuckets: Int, name: String = "StringToHashBucket"): ops.Output[Long]
    Definition Classes
    Text
    Annotations
    @deprecated
    Deprecated

    (Since version 0.1.0) It is recommended to use stringToHashBucketFast or stringToHashBucketStrong.

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