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trait Manipulation extends AnyRef

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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
  2. sealed trait PaddingMode extends AnyRef

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 batchGather[T, I](input: Output[T], indices: 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]): Output[T]
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  6. 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]
  7. 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]
  8. 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])
    Attributes
    protected
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  10. def concatenate[T](inputs: Seq[Output[T]], axis: Output[Int] = 0, name: String = "Concatenate")(implicit arg0: core.types.TF[T]): Output[T]
  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])
    Attributes
    protected
  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])
    Attributes
    protected
  13. def depthToSpace[T](input: Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "DepthToSpace")(implicit arg0: core.types.TF[T]): Output[T]
  14. def depthToSpaceGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
    protected
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.jni.InvalidArgumentException])
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  17. 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]
  18. 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])
    Attributes
    protected
  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])
    Attributes
    protected
  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])
    Attributes
    protected
  23. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  24. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  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
    Definition Classes
    Any
  28. def matrixTranspose[T](input: Output[T], conjugate: Boolean = false, name: String = "MatrixTranspose")(implicit arg0: core.types.TF[T]): Output[T]
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  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])
    Attributes
    protected
  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])
    Attributes
    protected
  31. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  32. final def notify(): Unit
    Definition Classes
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    Annotations
    @native() @HotSpotIntrinsicCandidate()
  33. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  34. def pad[T, I](input: Output[T], paddings: Output[I], mode: 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]): 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])
    Attributes
    protected
  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])
    Attributes
    protected
  41. def reshapeToInput[T](input: Output[T], gradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
    protected
  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])
    Attributes
    protected
  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])
    Attributes
    protected
  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])
    Attributes
    protected
  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 slice[T, I](input: Output[T], begin: Output[I], size: Output[I], name: String = "Slice")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Output[T]
  53. 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])
    Attributes
    protected
  54. 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]
  55. 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]
  56. 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])
    Attributes
    protected
  57. def spaceToDepth[T](input: Output[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "SpaceToDepth")(implicit arg0: core.types.TF[T]): Output[T]
  58. def spaceToDepthGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
    protected
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.jni.InvalidArgumentException])
  59. 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]]
  60. def splitEvenly[T](input: Output[T], numSplits: Int, axis: Output[Int] = 0, name: String = "Split")(implicit arg0: core.types.TF[T]): Seq[Output[T]]
  61. 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])
    Attributes
    protected
  62. 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])
    Attributes
    protected
  63. def squeeze[T](input: Output[T], axes: Seq[Int] = null, name: String = "Squeeze")(implicit arg0: core.types.TF[T]): Output[T]
  64. def squeezeGradient[T](op: Op[Output[T], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
    protected
  65. def stack[T](inputs: Seq[Output[T]], axis: Int = 0, name: String = "Stack")(implicit arg0: core.types.TF[T]): Output[T]
  66. def stackGradient[T](op: Op[Seq[Output[T]], Output[T]], outputGradient: Output[T])(implicit arg0: core.types.TF[T]): Seq[Output[T]]
    Attributes
    protected
  67. 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]
  68. 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])
    Attributes
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  69. 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])
    Attributes
    protected
  70. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
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  71. 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]
  72. 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])
    Attributes
    protected
  73. def toString(): String
    Definition Classes
    AnyRef → Any
  74. 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]
  75. 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])
    Attributes
    protected
  76. def unstack[T](input: Output[T], number: Int = -1, axis: Int = 0, name: String = "Unstack")(implicit arg0: core.types.TF[T]): Seq[Output[T]]
    Annotations
    @throws(scala.this.throws.<init>$default$1[IndexOutOfBoundsException]) @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  77. def unstackGradient[T](op: Op[Output[T], Seq[Output[T]]], outputGradient: Seq[Output[T]])(implicit arg0: core.types.TF[T]): Output[T]
    Attributes
    protected
  78. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException])
  79. final def wait(arg0: Long): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  80. final def wait(): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException])
  81. object ReflectivePadding extends PaddingMode
  82. object SymmetricPadding extends PaddingMode

Deprecated Value Members

  1. def finalize(): Unit
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    protected[lang]
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    @throws(classOf[java.lang.Throwable]) @Deprecated @deprecated
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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