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 Logging: core.Logging.type
    Definition Classes
    API
  45. val LookupTableTensorInitializer: ops.lookup.LookupTableTensorInitializer.type
    Definition Classes
    API
  46. val LookupTableTextFileInitializer: ops.lookup.LookupTableTextFileInitializer.type
    Definition Classes
    API
  47. val LuongAttention: ops.rnn.attention.LuongAttention.type
    Definition Classes
    API
  48. val NotFoundException: core.exception.NotFoundException.type
    Definition Classes
    API
  49. val OnesInitializer: ops.variables.OnesInitializer.type
    Definition Classes
    API
  50. val OpBuilderUsedException: core.exception.OpBuilderUsedException.type
    Definition Classes
    API
  51. val OutOfRangeException: core.exception.OutOfRangeException.type
    Definition Classes
    API
  52. val PermissionDeniedException: core.exception.PermissionDeniedException.type
    Definition Classes
    API
  53. val RNNTuple: Tuple.type
    Definition Classes
    API
  54. val RandomNormalInitializer: ops.variables.RandomNormalInitializer.type
    Definition Classes
    API
  55. val RandomTruncatedNormalInitializer: ops.variables.RandomTruncatedNormalInitializer.type
    Definition Classes
    API
  56. val RandomUniformInitializer: ops.variables.RandomUniformInitializer.type
    Definition Classes
    API
  57. val ResidualWrapper: ops.rnn.cell.ResidualWrapper.type
    Definition Classes
    API
  58. val ResourceExhaustedException: core.exception.ResourceExhaustedException.type
    Definition Classes
    API
  59. val ReuseExistingVariableOnly: ReuseExistingOnly.type
    Definition Classes
    API
  60. val ReuseOrCreateNewVariable: ReuseOrCreateNew.type
    Definition Classes
    API
  61. val Saver: ops.variables.Saver.type
    Definition Classes
    API
  62. val ShapeMismatchException: core.exception.ShapeMismatchException.type
    Definition Classes
    API
  63. val StackedCell: ops.rnn.cell.StackedCell.type
    Definition Classes
    API
  64. val TextFileColumn: ops.lookup.TextFileColumn.type
    Definition Classes
    API
  65. val TextFileLineNumber: ops.lookup.TextFileLineNumber.type
    Definition Classes
    API
  66. val TextFileWholeLine: ops.lookup.TextFileWholeLine.type
    Definition Classes
    API
  67. val Timeline: core.client.Timeline.type
    Definition Classes
    API
  68. val UnauthenticatedException: core.exception.UnauthenticatedException.type
    Definition Classes
    API
  69. val UnavailableException: core.exception.UnavailableException.type
    Definition Classes
    API
  70. val UnimplementedException: core.exception.UnimplementedException.type
    Definition Classes
    API
  71. val UnknownException: core.exception.UnknownException.type
    Definition Classes
    API
  72. val VariableScope: ops.variables.VariableScope.type
    Definition Classes
    API
  73. val VariableStore: ops.variables.VariableStore.type
    Definition Classes
    API
  74. val VarianceScalingInitializer: ops.variables.VarianceScalingInitializer.type
    Definition Classes
    API
  75. val ZerosInitializer: ops.variables.ZerosInitializer.type
    Definition Classes
    API
  76. 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
  77. 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
  78. 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])
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. 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
  108. 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
  109. 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
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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])
  123. 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
  124. 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
  125. 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
  126. 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
  127. 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
  128. 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])
  129. 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
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. 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
  136. 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])
  137. 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
  138. 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
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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
  144. 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
  145. 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
  146. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  147. def colocateWith[R](colocationOps: Set[ops.UntypedOp], ignoreExisting: Boolean = false)(block: => R): R
    Definition Classes
    API
  148. def complexDouble(real: ops.Output[Double], imag: ops.Output[Double], name: String = "Complex"): ops.Output[core.types.ComplexDouble]
    Definition Classes
    Math
  149. 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
  150. def complexFloat(real: ops.Output[Float], imag: ops.Output[Float], name: String = "Complex"): ops.Output[core.types.ComplexFloat]
    Definition Classes
    Math
  151. 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
  152. 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
  153. 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
  154. 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])
  155. 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
  156. 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
  157. 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
  158. def constant[T](tensor: tensors.Tensor[T], shape: core.Shape = null, name: String = "Constant"): ops.Output[T]
    Definition Classes
    Constructors
  159. 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
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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
  169. 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
  170. 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
  171. 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
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. def currentAttributes: Map[String, Any]
    Definition Classes
    API
  178. def currentColocationOps: Set[ops.UntypedOp]
    Definition Classes
    API
  179. def currentContainer: String
    Definition Classes
    API
  180. def currentControlDependencies: Set[ops.UntypedOp]
    Definition Classes
    API
  181. def currentDevice: String
    Definition Classes
    API
  182. def currentDeviceFunction: (OpSpecification) => String
    Definition Classes
    API
  183. def currentGraph: Graph
    Definition Classes
    API
  184. def currentGraphRandomSeed(opSeed: Option[Int] = None): (Option[Int], Option[Int])
    Definition Classes
    API
  185. def currentNameScope: String
    Definition Classes
    API
  186. def currentVariableGetters: Seq[VariableGetter]
    Definition Classes
    API
  187. def currentVariableScope: VariableScope
    Definition Classes
    API
  188. def currentVariableStore: VariableStore
    Definition Classes
    API
  189. def decodeBase64(input: ops.Output[String], name: String = "DecodeBase64"): ops.Output[String]
    Definition Classes
    Text
  190. 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
  191. def decodeJSONExample(jsonExamples: ops.Output[String], name: String = "DecodeJSONExample"): ops.Output[String]
    Definition Classes
    Parsing
  192. 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
  193. def decodeTensor[T](data: ops.Output[String], name: String = "DecodeTensor")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Parsing
  194. def deepCopy[T](x: ops.Output[T], name: String = "DeepCopy")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Inplace
  195. 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
  196. 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])
  197. def device[R](device: String = "", deviceFunction: Option[(OpSpecification) => String] = None)(block: => R): R
    Definition Classes
    API
  198. 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
  199. 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
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. 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$1[IllegalArgumentException])
  207. def dynamicDropout[T, I](input: ops.Output[T], keepProbability: ops.Output[T], scaleOutput: Boolean = true, noiseShape: ops.Output[I] = null, seed: Option[Int] = None, name: String = "Dropout")(implicit arg0: core.types.TF[T], arg1: core.types.IsHalfOrFloatOrDouble[T], arg2: IntDefault[I], arg3: core.types.TF[I], arg4: core.types.IsIntOrLong[I]): ops.Output[T]
    Definition Classes
    NN
  208. def dynamicPartition[T](data: ops.Output[T], partitions: ops.Output[Int], numberOfPartitions: Int, name: String = "DynamicPartition")(implicit arg0: core.types.TF[T]): Seq[ops.Output[T]]
    Definition Classes
    DataFlow
  209. def dynamicPartitionGradient[T](op: ops.Op[(ops.Output[T], ops.Output[Int]), Seq[ops.Output[T]]], outputGradient: Seq[ops.Output[T]])(implicit arg0: core.types.TF[T]): (ops.Output[T], ops.Output[Int])
    Attributes
    protected
    Definition Classes
    DataFlow
  210. def dynamicRNN[Out, State, OutShape, StateShape](cell: ops.rnn.cell.RNNCell[Out, State, OutShape, StateShape], input: Out, initialState: Option[State] = None, timeMajor: Boolean = false, parallelIterations: Int = 32, swapMemory: Boolean = false, sequenceLengths: ops.Output[Int] = null, name: String = "RNN")(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evZeroOut: Aux[Out, OutShape], evZeroState: Aux[State, StateShape]): Tuple[Out, State]
    Definition Classes
    RNN
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException]) @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  211. 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
  212. 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
  213. 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
  214. 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
  215. 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
  216. 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
  217. 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
  218. 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
  219. 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
  220. def encodeBase64(input: ops.Output[String], pad: Boolean = false, name: String = "EncodeBase64"): ops.Output[String]
    Definition Classes
    Text
  221. def encodeTensor[T](tensor: ops.Output[T], name: String = "EncodeTensor")(implicit arg0: core.types.TF[T]): ops.Output[String]
    Definition Classes
    Parsing
  222. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  223. 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
  224. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  225. 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
  226. 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
  227. 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
  228. 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
  229. 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
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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
  237. 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
  238. 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
  239. 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
  240. 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])
  241. 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
  242. 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
  243. 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
  244. 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
  245. 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
  246. 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
  247. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  248. 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
  249. def globalVariablesInitializer(name: String = "GlobalVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  250. val gradients: Gradients.type
    Definition Classes
    API
  251. 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
  252. 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
  253. def group(inputs: Set[ops.UntypedOp], name: String = "Group"): ops.Op[Unit, Unit]
    Definition Classes
    ControlFlow
  254. def guaranteeConstant[T](input: ops.Output[T], name: String = "GuaranteeConstant"): ops.Output[T]
    Definition Classes
    Constructors
  255. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  256. 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
  257. 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
  258. 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
  259. 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
  260. 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
  261. 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
  262. 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
  263. 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
  264. 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
  265. def immutableConstant[T](shape: core.Shape, memoryRegionName: String, name: String = "ImmutableConstant")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  266. 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
  267. 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
  268. 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
  269. 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
  270. 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
  271. def initializationScope[R](block: => R): R
    Definition Classes
    API
  272. 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
  273. 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
  274. 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
  275. 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
  276. 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
  277. 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
  278. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  279. 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
  280. 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
  281. 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
  282. 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
  283. 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
  284. 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
  285. 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
  286. 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
  287. 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
  288. def localResources: Set[ResourceWrapper]
    Definition Classes
    Resources
  289. 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
  290. 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
  291. def localVariablesInitializer(name: String = "LocalVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  292. 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
  293. 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
  294. 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
  295. 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
  296. 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
  297. 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
  298. 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
  299. 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
  300. 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
  301. 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
  302. 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
  303. def logicalAnd(x: ops.Output[Boolean], y: ops.Output[Boolean], name: String = "LogicalAnd"): ops.Output[Boolean]
    Definition Classes
    Math
  304. def logicalNot(x: ops.Output[Boolean], name: String = "LogicalNot"): ops.Output[Boolean]
    Definition Classes
    Math
  305. def logicalOr(x: ops.Output[Boolean], y: ops.Output[Boolean], name: String = "LogicalOr"): ops.Output[Boolean]
    Definition Classes
    Math
  306. def logicalXOr(x: ops.Output[Boolean], y: ops.Output[Boolean], name: String = "LogicalXOr"): ops.Output[Boolean]
    Definition Classes
    Math
  307. 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
  308. 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
  309. 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
  310. 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
  311. 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
  312. 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
  313. 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
  314. 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
  315. 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
  316. 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
  317. def matrixDiag[T](diagonal: ops.Output[T], name: String = "MatrixDiag")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Math
  318. 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
  319. def matrixDiagPart[T](input: ops.Output[T], name: String = "MatrixDiagPart")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Math
  320. 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
  321. 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
  322. 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
  323. 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])
  324. 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
  325. 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
  326. 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
  327. 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
  328. 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
  329. 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
  330. 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
  331. 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
  332. 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
  333. 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
  334. 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
  335. 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
  336. def metricVariablesInitializer(name: String = "MetricVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  337. 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
  338. 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
  339. 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
  340. 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
  341. 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
  342. 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
  343. 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
  344. def modelVariablesInitializer(name: String = "ModelVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  345. def modifyDefaultSessionConfig(fn: (SessionConfig) => SessionConfig): SessionConfig
    Definition Classes
    API
  346. 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
  347. 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
  348. 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
  349. 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
  350. def nameScope[R](nameScope: String)(block: => R): R
    Definition Classes
    API
  351. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  352. 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
  353. 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
  354. def newStack(maxSize: ops.Output[Int], elementType: core.types.DataType[Any], stackName: String = "", name: String = "NewStack"): ops.Output[core.types.Resource]
    Definition Classes
    DataFlow
  355. def noOp(name: String = "NoOp"): ops.Op[Unit, Unit]
    Definition Classes
    ControlFlow
  356. 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
  357. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  358. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  359. 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
  360. 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
  361. def ones[T](dataType: core.types.DataType[T], shape: ops.Output[Int]): ops.Output[T]
    Definition Classes
    Constructors
  362. 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
  363. def ones[T](shape: ops.Output[Int])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  364. def onesLike[T](input: ops.Output[T], optimize: Boolean = true, name: String = "OnesLike"): ops.Output[T]
    Definition Classes
    Constructors
  365. 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
  366. 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
  367. def parallelStack[T](inputs: Seq[ops.Output[T]], name: String = "ParallelStack")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Manipulation
  368. 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$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  369. def parseSingleExample[T, R](serialized: ops.Output[String], features: T, name: String = "ParseSingleExample")(implicit ev: Aux[T, R]): R
    Definition Classes
    Parsing
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  370. def placeholder[T](shape: core.Shape = null, name: String = "Placeholder")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  371. def placeholderWithDefault[T](default: ops.Output[T], shape: core.Shape, name: String = "PlaceholderWithDefault")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  372. def polygamma[T](n: ops.Output[T], x: ops.Output[T], name: String = "Polygamma")(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): ops.Output[T]
    Definition Classes
    Math
  373. def polygammaGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsFloatOrDouble[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  374. def pow[T](x: ops.Output[T], y: ops.Output[T], name: String = "Pow")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
  375. def powGradient[T](op: ops.Op[(ops.Output[T], ops.Output[T]), ops.Output[T]], outputGradient: ops.Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): (ops.Output[T], ops.Output[T])
    Attributes
    protected
    Definition Classes
    Math
  376. def preventGradient[T](input: ops.Output[T], message: String = "", name: String = "PreventGradient")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Basic
  377. def preventGradientGradient[T](op: ops.Op[ops.Output[T], ops.Output[T]], outputGradients: ops.Output[T])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Attributes
    protected
    Definition Classes
    Basic
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  378. 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
  379. 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
  380. 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
  381. 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
  382. 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
  383. 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
  384. 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
  385. 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
  386. 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
  387. 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
  388. 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
  389. 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
  390. 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
  391. 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
  392. 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
  393. 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
  394. 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
  395. 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
  396. 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
  397. 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
  398. 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
  399. 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
  400. 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
  401. 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
  402. 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
  403. 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
  404. 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
  405. 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
  406. 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
  407. 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
  408. 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
  409. 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
  410. 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
  411. 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
  412. 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
  413. 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
  414. 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
  415. 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
  416. 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
  417. 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
  418. def safeShapeDiv(x: ops.Output[Int], y: ops.Output[Int]): ops.Output[Long]
    Attributes
    protected
    Definition Classes
    Math
  419. 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
  420. 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
  421. 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
  422. 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
  423. 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
  424. 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
  425. 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
  426. 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
  427. 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
  428. 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
  429. 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
  430. 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
  431. 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
  432. 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
  433. 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
  434. 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
  435. 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
  436. 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$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  437. def sequenceMask[T](lengths: ops.Output[T], maxLength: ops.Output[T] = null, name: String = "SequenceMask")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): ops.Output[Boolean]
    Definition Classes
    Masking
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  438. def setCurrentGraphRandomSeed(value: Int): Unit
    Definition Classes
    API
  439. 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
  440. 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
  441. 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
  442. 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
  443. 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
  444. 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
  445. 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
  446. 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
  447. def sharedResources: Set[ResourceWrapper]
    Definition Classes
    Resources
  448. 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
  449. 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
  450. 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
  451. 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
  452. 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
  453. 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
  454. 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
  455. 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
  456. 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
  457. 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
  458. 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
  459. 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
  460. 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
  461. 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
  462. 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
  463. 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
  464. 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
  465. 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
  466. 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
  467. 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
  468. 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
  469. 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
  470. 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
  471. 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
  472. 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
  473. 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
  474. 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
  475. 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])
  476. 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
  477. 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
  478. def sparsePlaceholder[T](shape: core.Shape = null, name: String = "SparsePlaceholder")(implicit arg0: core.types.TF[T]): ops.SparseOutput[T]
    Definition Classes
    Constructors
  479. 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
  480. 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
  481. 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
  482. 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
  483. 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
  484. 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
  485. 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
  486. 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
  487. 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
  488. 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
  489. 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
  490. 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
  491. 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
  492. 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
  493. 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
  494. 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
  495. 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
  496. 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
  497. 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
  498. 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
  499. 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
  500. 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
  501. 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
  502. 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
  503. 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
  504. def stackClose(stackHandle: ops.Output[core.types.Resource], name: String = "StackClose"): ops.Op[ops.Output[core.types.Resource], Unit]
    Definition Classes
    DataFlow
  505. 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
  506. 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
  507. 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
  508. def stopGradient[T](input: ops.Output[T], name: String = "StopGradient")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Basic
  509. 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
  510. 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
  511. 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
  512. def stringJoin(inputs: Seq[ops.Output[String]], separator: String = "", name: String = "StringJoin"): ops.Output[String]
    Definition Classes
    Text
  513. 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
  514. def stringToHashBucketFast(input: ops.Output[String], numBuckets: Int, name: String = "StringToHashBucketFast"): ops.Output[Long]
    Definition Classes
    Text
  515. def stringToHashBucketStrong(input: ops.Output[String], numBuckets: Int, key1: Long, key2: Long, name: String = "StringToHashBucketStrong"): ops.Output[Long]
    Definition Classes
    Text
  516. def stringToNumber[T](data: ops.Output[String], name: String = "StringToNumber")(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Parsing
  517. 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
  518. 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
  519. 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
  520. 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
  521. 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
  522. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  523. def tableInitializers: Set[ops.UntypedOp]
    Definition Classes
    Lookup
  524. 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
  525. 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
  526. 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
  527. 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
  528. 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
  529. 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$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  530. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], axesA: Seq[Int], axesB: Seq[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  531. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], numAxes: Int, name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  532. def tensorDot[T](a: ops.Output[T], b: ops.Output[T], numAxes: Int)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  533. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], axesA: ops.Output[Int], axesB: ops.Output[Int], name: String = "TensorDot")(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  534. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], axesA: ops.Output[Int], axesB: ops.Output[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  535. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], numAxes: ops.Output[Int], name: String)(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  536. def tensorDotDynamic[T](a: ops.Output[T], b: ops.Output[T], numAxes: ops.Output[Int])(implicit arg0: core.types.TF[T], arg1: core.types.IsNotQuantized[T]): ops.Output[T]
    Definition Classes
    Math
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
  537. 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
  538. 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
  539. def timestamp(name: String = "Timestamp"): ops.Output[Double]
    Definition Classes
    Logging
  540. def toString(): String
    Definition Classes
    AnyRef → Any
  541. 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
  542. 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
  543. 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
  544. def trainableVariablesInitializer(name: String = "TrainableVariablesInitializer"): ops.UntypedOp
    Definition Classes
    API
  545. 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
  546. 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
  547. 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
  548. 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
  549. 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
  550. 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
  551. 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
  552. 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
  553. 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
  554. 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
  555. 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
  556. 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
  557. 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
  558. 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
  559. 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
  560. 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
  561. 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
  562. 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
  563. 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
  564. 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])
  565. 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
  566. 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
  567. 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
  568. def variableGetter[R](getter: VariableGetter)(block: => R): R
    Definition Classes
    API
  569. 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
  570. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  571. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  572. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  573. 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
  574. 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
  575. 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
  576. def zeros[T](dataType: core.types.DataType[T], shape: ops.Output[Int]): ops.Output[T]
    Definition Classes
    Constructors
  577. 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
  578. def zeros[T](shape: ops.Output[Int])(implicit arg0: core.types.TF[T]): ops.Output[T]
    Definition Classes
    Constructors
  579. 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
  580. def zerosLike[T](input: ops.Output[T], optimize: Boolean = true, name: String = "ZerosLike"): ops.Output[T]
    Definition Classes
    Constructors
  581. 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
  582. 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
  583. object data extends API
    Definition Classes
    API
  584. object image extends Image
    Definition Classes
    API
  585. object io extends Files
    Definition Classes
    API
  586. object learn extends API
  587. object metrics extends API
    Definition Classes
    API
  588. object sparse extends Sparse
    Definition Classes
    API
  589. object summary extends Summary
    Definition Classes
    API
  590. 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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