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object API extends API

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Type Members

  1. 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
  2. sealed trait PaddingMode extends AnyRef
    Definition Classes
    Manipulation

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def batchToSpace[T, I](input: Output[T], blockSize: Int, crops: Output[I], name: String = "BatchToSpace")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
    Manipulation
  6. def batchToSpaceND[T, I1, I2](input: Output[T], blockShape: Output[I1], crops: 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]): Output[T]
    Definition Classes
    Manipulation
  7. def batchToSpaceNDGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[I2])
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  8. def booleanMask[T](input: Output[T], mask: Output[Boolean], name: String = "BooleanMask")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Masking
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  10. def concatenate[T](inputs: Seq[Output[T]], axis: Output[Int] = 0, name: String = "Concatenate")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Manipulation
  11. def concatenateGradient[T](op: Op[(Seq[Output[T]], Output[Int]), Output[T]], outputGradient: OutputLike[T])(implicit arg0: core.types.TF[T]): (Seq[OutputLike[T]], Output[Int])
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  12. def conjugateTransposeGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  13. def constant[T](tensor: tensors.Tensor[T], shape: core.Shape = null, name: String = "Constant"): Output[T]
    Definition Classes
    Constructors
  14. def deepCopy[T](x: Output[T], name: String = "DeepCopy")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Inplace
  15. def depthToSpace[T](input: Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "DepthToSpace")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Manipulation
  16. def depthToSpaceGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
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    Annotations
    @throws( ... )
  17. def empty[T](shape: Output[Int], initialize: Boolean = false, name: String = "Empty")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Constructors
  18. def emptyLike[T](input: Output[T], initialize: Boolean = false, optimize: Boolean = true, name: String = "EmptyLike")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Constructors
  19. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  21. def expandDims[T, I](input: Output[T], axis: Output[I], name: String = "ExpandDims")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
    Manipulation
  22. def expandDimsGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  23. def fill[T, I](dataType: core.types.DataType[T], shape: Output[I])(value: Output[T])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  24. def fill[T, I](shape: Output[I])(value: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  25. def fillGradient[T, I](op: Op[(Output[I], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[I], Output[T])
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  26. def finalize(): Unit
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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  27. def gather[T, I1, I2](input: Output[T], indices: Output[I1], axis: 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]): Output[T]
    Definition Classes
    Manipulation
  28. def gatherGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): (OutputLike[T], Output[I1], Output[I2])
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  29. def gatherND[T, I](input: Output[T], indices: Output[I], name: String = "GatherND")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  30. def gatherNDGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (OutputLike[T], Output[I])
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  31. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  32. def guaranteeConstant[T](input: Output[T], name: String = "GuaranteeConstant"): Output[T]
    Definition Classes
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  33. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  34. def identity[T, OL[A] <: OutputLike[A]](input: OL[T], name: String = "Identity")(implicit arg0: core.types.TF[T]): OL[T]
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  35. def immutableConstant[T](shape: core.Shape, memoryRegionName: String, name: String = "ImmutableConstant")(implicit arg0: core.types.TF[T]): Output[T]
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  36. def indexedSlicesMask[T](input: OutputIndexedSlices[T], maskIndices: Output[Int], name: String = "IndexedSlicesMask")(implicit arg0: core.types.TF[T]): OutputIndexedSlices[T]
    Definition Classes
    Masking
  37. def inplaceAdd[T](x: Output[T], i: Option[Output[Int]], v: Output[T], name: String = "InplaceAdd")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Inplace
  38. def inplaceSubtract[T](x: Output[T], i: Option[Output[Int]], v: Output[T], name: String = "InplaceSubtract")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Inplace
  39. def inplaceUpdate[T](x: Output[T], i: Option[Output[Int]], v: Output[T], name: String = "InplaceUpdate")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Inplace
  40. def invertPermutation[I](input: Output[I], name: String = "InvertPermutation")(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Output[I]
    Definition Classes
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  41. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  42. def listDiff[T, I](x: Output[T], y: 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]): (Output[T], Output[I])
    Definition Classes
    Masking
  43. def matrixTranspose[T](input: Output[T], conjugate: Boolean = false, name: String = "MatrixTranspose")(implicit arg0: core.types.TF[T]): Output[T]
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    Annotations
    @throws( ... )
  44. def mirrorPadGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  45. def mirrorPadHessian[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  46. final def ne(arg0: AnyRef): Boolean
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  47. final def notify(): Unit
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    @native()
  48. final def notifyAll(): Unit
    Definition Classes
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    @native()
  49. def ones[T, I](dataType: core.types.DataType[T], shape: Output[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Output[T]
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  50. def ones[T](dataType: core.types.DataType[T], shape: Output[Int]): Output[T]
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  51. def ones[T, I](shape: Output[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  52. def ones[T](shape: Output[Int])(implicit arg0: core.types.TF[T]): Output[T]
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  53. def onesLike[T](input: Output[T], optimize: Boolean = true, name: String = "OnesLike"): Output[T]
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  54. def pad[T, I](input: Output[T], paddings: Output[I], mode: PaddingMode = ..., name: String = "Pad")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
    Manipulation
  55. def padGradient[T, I](op: Op[(Output[T], Output[I], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I], Output[T])
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  56. def parallelStack[T](inputs: Seq[Output[T]], name: String = "ParallelStack")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Manipulation
  57. def placeholder[T](shape: core.Shape = null, name: String = "Placeholder")(implicit arg0: core.types.TF[T]): Output[T]
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  58. def placeholderWithDefault[T](default: Output[T], shape: core.Shape, name: String = "PlaceholderWithDefault")(implicit arg0: core.types.TF[T]): Output[T]
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  59. def rank[T, OL[A] <: OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Rank")(implicit arg0: core.types.TF[T]): Output[Int]
    Definition Classes
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  60. def requiredSpaceToBatchPaddingsAndCrops(inputShape: Output[Int], blockShape: Output[Int], basePaddings: Output[Int] = null, name: String = "RequiredSpaceToBatchPaddings"): (Output[Int], Output[Int])
    Definition Classes
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  61. def reshape[T, I](input: Output[T], shape: Output[I], name: String = "Reshape")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  62. def reshapeGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  63. def reshapeToInput[T](input: Output[T], gradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
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  64. def reverse[T, I](input: Output[T], axes: Output[I], name: String = "Reverse")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  65. def reverseGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  66. def reverseSequence[T, I](input: Output[T], sequenceLengths: 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]): Output[T]
    Definition Classes
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  67. def reverseSequenceGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  68. def scatterND[T, I](indices: Output[I], updates: Output[T], shape: Output[I], name: String = "ScatterND")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  69. def scatterNDGradient[T, I](op: Op[(Output[I], Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[I], Output[T], Output[I])
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  70. def sequenceMask[T](lengths: Output[T], maxLength: Output[T] = null, name: String = "SequenceMask")(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): Output[Boolean]
    Definition Classes
    Masking
    Annotations
    @throws( ... )
  71. def shape[T, OL[A] <: OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Shape")(implicit arg0: core.types.TF[T]): Output[Int]
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  72. def shapeN[T, I](inputs: Seq[Output[T]], dataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrLong[I]): Seq[Output[I]]
    Definition Classes
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  73. def shapeN[T, I](inputs: Seq[Output[T]])(implicit arg0: core.types.TF[T], arg1: IntDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Seq[Output[I]]
    Definition Classes
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  74. def size[T, OL[A] <: OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Size")(implicit arg0: core.types.TF[T]): Output[Long]
    Definition Classes
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  75. def sliceGradient[T, I](op: Op[(Output[T], Output[I], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I], Output[I])
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  76. def spaceToBatch[T, I](input: Output[T], blockSize: Int, paddings: Output[I], name: String = "SpaceToBatch")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  77. def spaceToBatchND[T, I1, I2](input: Output[T], blockShape: Output[I1], paddings: 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]): Output[T]
    Definition Classes
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  78. def spaceToBatchNDGradient[T, I1, I2](op: Op[(Output[T], Output[I1], Output[I2]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1], arg3: core.types.TF[I2], arg4: core.types.IsIntOrLong[I2]): (Output[T], Output[I1], Output[I2])
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  79. def spaceToDepth[T](input: Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "SpaceToDepth")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
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  80. def spaceToDepthGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
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    @throws( ... )
  81. def sparsePlaceholder[T](shape: core.Shape = null, name: String = "SparsePlaceholder")(implicit arg0: core.types.TF[T]): SparseOutput[T]
    Definition Classes
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  82. def split[T, I](input: Output[T], splitSizes: Output[I], axis: Output[Int] = 0, name: String = "Split")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Seq[Output[T]]
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  83. def splitEvenly[T](input: Output[T], numSplits: Int, axis: Output[Int] = 0, name: String = "Split")(implicit arg0: core.types.TF[T]): Seq[Output[T]]
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  84. def splitEvenlyGradient[T](op: Op[(Output[Int], Output[T]), Seq[Output[T]]], outputGradient: Seq[Output[T]])(implicit arg0: core.types.TF[T]): (Output[Int], Output[T])
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  85. def splitGradient[T, I](op: Op[(Output[T], Output[I], Output[Int]), Seq[Output[T]]], outputGradient: Seq[Output[T]])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I], Output[Int])
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  86. def squeeze[T](input: Output[T], axes: Seq[Int] = null, name: String = "Squeeze")(implicit arg0: core.types.TF[T]): Output[T]
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  87. def squeezeGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
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  88. def stack[T](inputs: Seq[Output[T]], axis: Int = 0, name: String = "Stack")(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
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  89. def stackGradient[T](op: Op[Seq[Output[T]], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Seq[Output[T]]
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  90. def stridedSlice[T, I](input: Output[T], begin: Output[I], end: Output[I], strides: 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]): Output[T]
    Definition Classes
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  91. def stridedSliceGradient[T, I](op: Op[(Output[T], Output[I], Output[I], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I], Output[I], Output[I])
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  92. def stridedSliceHessian[T, I](op: Op[(Output[I], Output[I], Output[I], Output[I], Output[T]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[I], Output[I], Output[I], Output[I], Output[T])
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  93. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  94. def tile[T, I](input: Output[T], multiples: Output[I], name: String = "Tile")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
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  95. def tileGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: OutputLike[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  96. def toString(): String
    Definition Classes
    AnyRef → Any
  97. def transpose[T, I](input: Output[T], permutation: 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]): Output[T]
    Definition Classes
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  98. def transposeGradient[T, I](op: Op[(Output[T], Output[I]), Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Output[T], Output[I])
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  99. def unstack[T](input: Output[T], number: Int = -1, axis: Int = 0, name: String = "Unstack")(implicit arg0: core.types.TF[T]): Seq[Output[T]]
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    @throws( ... ) @throws( ... )
  100. def unstackGradient[T](op: Op[Output[T], Seq[Output[T]]], outputGradient: Seq[Output[T]])(implicit arg0: core.types.TF[T]): Output[T]
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  101. final def wait(): Unit
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    @throws( ... )
  102. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  103. final def wait(arg0: Long): Unit
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    @native() @throws( ... )
  104. def where[T](input: Output[T], name: String = "Where")(implicit arg0: core.types.TF[T], arg1: core.types.IsBooleanOrNumeric[T]): Output[Long]
    Definition Classes
    Masking
  105. def zeros[T, I](dataType: core.types.DataType[T], shape: Output[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
    Constructors
  106. def zeros[T](dataType: core.types.DataType[T], shape: Output[Int]): Output[T]
    Definition Classes
    Constructors
  107. def zeros[T, I](shape: Output[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
    Definition Classes
    Constructors
  108. def zeros[T](shape: Output[Int])(implicit arg0: core.types.TF[T]): Output[T]
    Definition Classes
    Constructors
  109. def zerosLike[T](input: Output[T], optimize: Boolean = true, name: String = "ZerosLike"): Output[T]
    Definition Classes
    Constructors
  110. object ReflectivePadding extends PaddingMode
    Definition Classes
    Manipulation
  111. object SymmetricPadding extends PaddingMode
    Definition Classes
    Manipulation

Inherited from API

Inherited from Masking

Inherited from Manipulation

Inherited from Inplace

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Inherited from AnyRef

Inherited from Any

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