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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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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]
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]
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 clone(): AnyRef

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9.  def concatenate[T](inputs: Seq[Output[T]], axis: Output[Int] = 0, name: String = "Concatenate")(implicit arg0: core.types.TF[T]): Output[T]
10.  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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11.  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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12.  def depthToSpace[T](input: Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "DepthToSpace")(implicit arg0: core.types.TF[T]): Output[T]
13.  def depthToSpaceGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]

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

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15.  def equals(arg0: Any): Boolean

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16.  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]
17.  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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18.  def finalize(): Unit

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19.  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]
20.  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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21.  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]
22.  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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23.  final def getClass(): Class[_]

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24.  def hashCode(): Int

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25.  def identity[T, OL[A] <: OutputLike[A]](input: OL[T], name: String = "Identity")(implicit arg0: core.types.TF[T]): OL[T]
26.  def invertPermutation[I](input: Output[I], name: String = "InvertPermutation")(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Output[I]
27.  final def isInstanceOf[T0]: Boolean

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28.  def matrixTranspose[T](input: Output[T], conjugate: Boolean = false, name: String = "MatrixTranspose")(implicit arg0: core.types.TF[T]): Output[T]

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29.  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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30.  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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31.  final def ne(arg0: AnyRef): Boolean

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32.  final def notify(): Unit

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33.  final def notifyAll(): Unit

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34.  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]
35.  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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36.  def parallelStack[T](inputs: Seq[Output[T]], name: String = "ParallelStack")(implicit arg0: core.types.TF[T]): Output[T]
37.  def rank[T, OL[A] <: OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Rank")(implicit arg0: core.types.TF[T]): Output[Int]
38.  def requiredSpaceToBatchPaddingsAndCrops(inputShape: Output[Int], blockShape: Output[Int], basePaddings: Output[Int] = null, name: String = "RequiredSpaceToBatchPaddings"): (Output[Int], Output[Int])
39.  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]
40.  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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41.  def reshapeToInput[T](input: Output[T], gradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]

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42.  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]
43.  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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44.  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]
45.  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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46.  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]
47.  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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48.  def shape[T, OL[A] <: OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Shape")(implicit arg0: core.types.TF[T]): Output[Int]
49.  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]]
50.  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]]
51.  def size[T, OL[A] <: OutputLike[A]](input: OL[T], optimize: Boolean = true, name: String = "Size")(implicit arg0: core.types.TF[T]): Output[Long]
52.  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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53.  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]
54.  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]
55.  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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56.  def spaceToDepth[T](input: Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "SpaceToDepth")(implicit arg0: core.types.TF[T]): Output[T]
57.  def spaceToDepthGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]

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58.  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]]
59.  def splitEvenly[T](input: Output[T], numSplits: Int, axis: Output[Int] = 0, name: String = "Split")(implicit arg0: core.types.TF[T]): Seq[Output[T]]
60.  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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61.  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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62.  def squeeze[T](input: Output[T], axes: Seq[Int] = null, name: String = "Squeeze")(implicit arg0: core.types.TF[T]): Output[T]
63.  def squeezeGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]

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64.  def stack[T](inputs: Seq[Output[T]], axis: Int = 0, name: String = "Stack")(implicit arg0: core.types.TF[T]): Output[T]
65.  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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66.  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]
67.  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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68.  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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69.  final def synchronized[T0](arg0: ⇒ T0): T0

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70.  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]
71.  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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72.  def toString(): String

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73.  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]
74.  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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75.  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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76.  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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77.  final def wait(): Unit

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

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

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80.  object ReflectivePadding extends PaddingMode
81.  object SymmetricPadding extends PaddingMode