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org.platanios.tensorflow.api.ops

Basic

Related Doc: package ops

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object Basic extends Basic

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  1. case class BasicOps(output: Output) extends Product with Serializable

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  2. sealed trait PaddingMode extends AnyRef

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Value Members

  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. object ConstantPadding extends PaddingMode

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  5. object ReflectivePadding extends PaddingMode

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  6. object SymmetricPadding extends PaddingMode

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  7. final def asInstanceOf[T0]: T0

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  8. def batchToSpace(input: Output, blockSize: Int, crops: Output, name: String = "BatchToSpace"): Output

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  9. def batchToSpaceND(input: Output, blockShape: Output, crops: Output, name: String = "BatchToSpaceND"): Output

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    @throws( ... )

  10. def booleanMask(input: Output, mask: Output, name: String = "BooleanMask"): Output

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  11. def broadcastShapeDynamic(shape1: Output, shape2: Output, name: String = "BroadcastShape"): Output

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  12. def checkNumerics(input: Output, message: String = "", name: String = "CheckNumerics"): Output

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  13. def clone(): AnyRef

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  14. def concatenate(inputs: Seq[Output], axis: Output = 0, name: String = "Concatenate"): Output

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  15. def constant(tensor: tensors.Tensor, dataType: types.DataType = null, shape: core.Shape = null, name: String = "Constant")(implicit context: DynamicVariable[Context]): Output

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  16. def depthToSpace(input: Output, blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "DepthToSpace"): Output

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  17. def editDistance(hypothesis: SparseOutput, truth: SparseOutput, normalize: Boolean = true, name: String = "EditDistance"): Output

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  18. final def eq(arg0: AnyRef): Boolean

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  19. def equals(arg0: Any): Boolean

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  20. def expandDims(input: Output, axis: Output, name: String = "ExpandDims"): Output

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  21. def fill(dataType: types.DataType = null, shape: Output = null)(value: Output, name: String = "Fill"): Output

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  22. def finalize(): Unit

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  23. def gather(input: Output, indices: Output, axis: Output = 0, name: String = "Gather"): Output

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  24. def gatherND(input: Output, indices: Output, name: String = "GatherND"): Output

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  25. final def getClass(): Class[_]

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  26. def guaranteeConstant(input: Output, name: String = "GuaranteeConstant"): Output

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  27. def hashCode(): Int

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  28. def identity[T <: OutputLike](input: T, name: String = "Identity"): T

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  29. def indexedSlicesMask(input: OutputIndexedSlices, maskIndices: Output, name: String = "IndexedSlicesMask"): OutputIndexedSlices

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  30. def invertPermutation(input: Output, name: String = "InvertPermutation"): Output

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  31. final def isInstanceOf[T0]: Boolean

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  32. def listDiff(x: Output, y: Output, indicesDataType: types.DataType = INT32, name: String = "ListDiff"): (Output, Output)

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  33. def matrixTranspose(input: Output, conjugate: Boolean = false, name: String = "MatrixTranspose"): Output

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  34. def meshGrid(inputs: Seq[Output], useCartesianIndexing: Boolean = true, name: String = "MeshGrid"): Seq[Output]

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  35. final def ne(arg0: AnyRef): Boolean

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  36. final def notify(): Unit

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  37. final def notifyAll(): Unit

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  38. def oneHot(indices: Output, depth: Output, onValue: Output = null, offValue: Output = null, axis: Int = 1, dataType: types.DataType = null, name: String = "OneHot"): Output

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  39. def ones(dataType: types.DataType, shape: Output, name: String = "Ones"): Output

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  40. def onesLike(input: Output, dataType: types.DataType = null, optimize: Boolean = true, name: String = "OnesLike"): Output

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  41. def pad(input: Output, paddings: Output, mode: PaddingMode = ConstantPadding, name: String = "Pad"): Output

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  42. def parallelStack(inputs: Array[Output], name: String = "ParallelStack"): Output

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  43. def placeholder(dataType: types.DataType, shape: core.Shape = null, name: String = "Placeholder"): Output

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  44. def placeholderWithDefault(default: Output, shape: core.Shape, name: String = "PlaceholderWithDefault"): Output

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  45. def preventGradient(input: Output, message: String = "", name: String = "PreventGradient"): Output

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  46. def rank[T <: OutputLike](input: T, optimize: Boolean = true, name: String = "Rank"): Output

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  47. def requiredSpaceToBatchPaddingsAndCrops(inputShape: Output, blockShape: Output, basePaddings: Output = null, name: String = "RequiredSpaceToBatchPaddings"): (Output, Output)

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  48. def reshape(input: Output, shape: Output, name: String = "Reshape"): Output

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  49. def reverse(input: Output, axes: Output, name: String = "Reverse"): Output

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  50. def reverseSequence(input: Output, sequenceLengths: Output, sequenceAxis: Int, batchAxis: Int = 0, name: String = "ReverseSequence"): Output

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  51. def scatterND(indices: Output, updates: Output, shape: Output, name: String = "ScatterND"): Output

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  52. def sequenceMask(lengths: Output, maxLength: Output = null, dataType: types.DataType = BOOLEAN, name: String = "SequenceMask"): Output

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  53. def shape[T <: OutputLike](input: T, dataType: types.DataType = INT32, optimize: Boolean = true, name: String = "Shape"): Output

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  54. def shapeN(inputs: Seq[Output], dataType: types.DataType = INT32, optimize: Boolean = true, name: String = "ShapeN"): Seq[Output]

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  55. def size[T <: OutputLike](input: T, dataType: types.DataType = INT32, optimize: Boolean = true, name: String = "Size"): Output

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  56. def slice(input: Output, begin: Output, size: Output, name: String = "Slice"): Output

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  57. def spaceToBatch(input: Output, blockSize: Int, paddings: Output, name: String = "SpaceToBatch"): Output

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  58. def spaceToBatchND(input: Output, blockShape: Output, paddings: Output, name: String = "SpaceToBatchND"): Output

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  59. def spaceToDepth(input: Output, blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default, name: String = "SpaceToDepth"): Output

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  60. def sparsePlaceholder(dataType: types.DataType, shape: core.Shape = null, name: String = "SparsePlaceholder"): SparseOutput

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  61. def split(input: Output, splitSizes: Output, axis: Output = 0, name: String = "Split"): Seq[Output]

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  62. def splitEvenly(input: Output, numSplits: Int, axis: Output = 0, name: String = "Split"): Seq[Output]

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  63. def squeeze(input: Output, axes: Seq[Int] = null, name: String = "Squeeze"): Output

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  64. def stack(inputs: Seq[Output], axis: Int = 0, name: String = "Stack"): Output

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  65. def stopGradient(input: Output, name: String = "StopGradient"): Output

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  66. final def synchronized[T0](arg0: ⇒ T0): T0

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  67. def tile(input: Output, multiples: Output, name: String = "Tile"): Output

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  68. def toString(): String

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  69. def transpose(input: Output, permutation: Output = null, conjugate: Boolean = false, name: String = "Transpose"): Output

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  70. def unique(input: Output, axis: Output, indicesDataType: types.DataType = INT32, name: String = "Unique"): (Output, Output)

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  71. def uniqueWithCounts(input: Output, indicesDataType: types.DataType = INT32, name: String = "UniqueWithCounts"): (Output, Output, Output)

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  72. def unstack(input: Output, number: Int = 1, axis: Int = 0, name: String = "Unstack"): Seq[Output]

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  73. final def wait(): Unit

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

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  75. final def wait(arg0: Long): Unit

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  76. def where(input: Output, name: String = "Where"): Output

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  77. def zeros(dataType: types.DataType, shape: Output, name: String = "Zeros"): Output

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  78. def zerosLike(input: Output, dataType: types.DataType = null, optimize: Boolean = true, name: String = "ZerosLike"): Output

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