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org.platanios.tensorflow.api.tensors.ops

Basic

Related Doc: package ops

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object Basic extends Basic

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  1. case class BasicOps(tensor: Tensor) extends Product with Serializable

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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. final def asInstanceOf[T0]: T0

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  5. def batchToSpace(input: Tensor, blockSize: Int, crops: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  6. def batchToSpaceND(input: Tensor, blockShape: Tensor, crops: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  7. def booleanMask(input: Tensor, mask: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  8. def checkNumerics(input: Tensor, message: String = "")(implicit context: DynamicVariable[Context]): Tensor

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  9. def clone(): AnyRef

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  10. def concatenate(inputs: Seq[Tensor], axis: Tensor = 0)(implicit context: DynamicVariable[Context]): Tensor

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  11. def depthToSpace(input: Tensor, blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit context: DynamicVariable[Context]): Tensor

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  12. def editDistance(hypothesis: SparseTensor, truth: SparseTensor, normalize: Boolean = true)(implicit context: DynamicVariable[Context]): Tensor

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

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  14. def equals(arg0: Any): Boolean

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  15. def expandDims(input: Tensor, axis: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  16. def finalize(): Unit

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  17. def gather(input: Tensor, indices: Tensor, axis: Tensor = 0)(implicit context: DynamicVariable[Context]): Tensor

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  18. def gatherND(input: Tensor, indices: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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

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  20. def hashCode(): Int

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  21. def indexedSlicesMask(input: TensorIndexedSlices, maskIndices: Tensor)(implicit context: DynamicVariable[Context]): TensorIndexedSlices

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  22. def invertPermutation(input: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  23. final def isInstanceOf[T0]: Boolean

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  24. def listDiff(x: Tensor, y: Tensor, indicesDataType: types.DataType = INT32)(implicit context: DynamicVariable[Context]): (Tensor, Tensor)

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  25. def matrixTranspose(input: Tensor, conjugate: Boolean = false)(implicit context: DynamicVariable[Context]): Tensor

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

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  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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  29. def oneHot(indices: Tensor, depth: Tensor, onValue: Tensor = null, offValue: Tensor = null, axis: Int = 1, dataType: types.DataType = null)(implicit context: DynamicVariable[Context]): Tensor

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  30. def pad(input: Tensor, paddings: Tensor, mode: ops.Basic.PaddingMode = ConstantPadding)(implicit context: DynamicVariable[Context]): Tensor

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  31. def parallelStack(inputs: Array[Tensor])(implicit context: DynamicVariable[Context]): Tensor

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  32. def preventGradient(input: Tensor, message: String = "")(implicit context: DynamicVariable[Context]): Tensor

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  33. def rank[T <: TensorLike](input: T): Tensor

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  34. def requiredSpaceToBatchPaddingsAndCrops(inputShape: Tensor, blockShape: Tensor, basePaddings: Tensor = null)(implicit context: DynamicVariable[Context]): (Tensor, Tensor)

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  35. def reshape(input: Tensor, shape: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  36. def reverse(input: Tensor, axes: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  37. def reverseSequence(input: Tensor, sequenceLengths: Tensor, sequenceAxis: Int, batchAxis: Int = 0)(implicit context: DynamicVariable[Context]): Tensor

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  38. def scatterND(indices: Tensor, updates: Tensor, shape: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  39. def sequenceMask(lengths: Tensor, maxLength: Tensor = null, dataType: types.DataType = BOOLEAN)(implicit context: DynamicVariable[Context]): Tensor

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  40. def shape[T <: TensorLike](input: T, dataType: types.DataType = INT32): Tensor

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  41. def shapeN(inputs: Seq[Tensor], dataType: types.DataType = INT32): Seq[Tensor]

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  42. def size[T <: TensorLike](input: T, dataType: types.DataType = INT32): Tensor

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  43. def spaceToBatch(input: Tensor, blockSize: Int, paddings: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  44. def spaceToBatchND(input: Tensor, blockShape: Tensor, paddings: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  45. def spaceToDepth(input: Tensor, blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit context: DynamicVariable[Context]): Tensor

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  46. def split(input: Tensor, splitSizes: Tensor, axis: Tensor = 0)(implicit context: DynamicVariable[Context]): Seq[Tensor]

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  47. def splitEvenly(input: Tensor, numSplits: Int, axis: Tensor = 0)(implicit context: DynamicVariable[Context]): Seq[Tensor]

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  48. def squeeze(input: Tensor, axes: Seq[Int] = null)(implicit context: DynamicVariable[Context]): Tensor

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  49. def stack(inputs: Seq[Tensor], axis: Int = 0)(implicit context: DynamicVariable[Context]): Tensor

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  50. def stopGradient(input: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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

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  52. def tile(input: Tensor, multiples: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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  53. def toString(): String

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  54. def transpose(input: Tensor, permutation: Tensor = null, conjugate: Boolean = false)(implicit context: DynamicVariable[Context]): Tensor

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  55. def unique(input: Tensor, indicesDataType: types.DataType = INT32)(implicit context: DynamicVariable[Context]): (Tensor, Tensor)

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  56. def uniqueWithCounts(input: Tensor, indicesDataType: types.DataType = INT32)(implicit context: DynamicVariable[Context]): (Tensor, Tensor, Tensor)

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  57. def unstack(input: Tensor, number: Int = 1, axis: Int = 0)(implicit context: DynamicVariable[Context]): Seq[Tensor]

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  58. final def wait(): Unit

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

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

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  61. def where(input: Tensor)(implicit context: DynamicVariable[Context]): Tensor

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