BasicOps

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

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2. final def ##(): Int

   

   Definition Classes

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3. final def ==(arg0: Any): Boolean

   

   Definition Classes

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4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def batchToSpace(blockSize: Int, crops: Output): Output

   

6. def batchToSpaceND(blockShape: Output, crops: Output): Output

   

7. def booleanMask(mask: Output): Output

   

8. def checkNumerics(message: String = ""): Output

   

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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   @throws( ... )

10. def depthToSpace(blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default): Output

    

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

    

    Definition Classes

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12. def expandDims(axis: Output): Output

    

13. def finalize(): Unit

    

    Attributes

    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

14. def gather(indices: Output, axis: Output = 0): Output

    

15. def gatherND(indices: Output): Output

    

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

    

    Definition Classes

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17. def invertPermutation(): Output

    

18. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

19. def listDiff(other: Output, indicesDataType: types.DataType = INT32): (Output, Output)

    

20. def matrixTranspose(conjugate: Boolean = false): Output

    

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

    

    Definition Classes

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22. final def notify(): Unit

    

    Definition Classes

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23. final def notifyAll(): Unit

    

    Definition Classes

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24. def oneHot(depth: Output, onValue: Output = null, offValue: Output = null, axis: Int = 1, dataType: types.DataType = null): Output

    

25. val output: Output

    

26. def pad(paddings: Output, mode: Basic.PaddingMode = ConstantPadding): Output

    

27. def preventGradient(message: String = ""): Output

    

28. def reshape(shape: Output): Output

    

29. def reverse(axes: Output): Output

    

30. def reverseSequence(sequenceLengths: Output, sequenceAxis: Int, batchAxis: Int = 0): Output

    

31. def scatterND(updates: Output, shape: Output): Output

    

32. def sequenceMask(maxLength: Output = null, dataType: types.DataType = BOOLEAN): Output

    

33. def slice(indexers: core.Indexer*): Output

    

34. def spaceToBatch(blockSize: Int, paddings: Output): Output

    

35. def spaceToBatchND(blockShape: Output, paddings: Output): Output

    

36. def spaceToDepth(blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default): Output

    

37. def split(splitSizes: Output, axis: Output = 0): Seq[Output]

    

38. def splitEvenly(numSplits: Int, axis: Output = 0): Seq[Output]

    

39. def squeeze(axes: Seq[Int] = null): Output

    

40. def stopGradient(): Output

    

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

    

    Definition Classes

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42. def tile(multiples: Output): Output

    

43. def transpose(permutation: Output = null, conjugate: Boolean = false): Output

    

44. def unique(axis: Output, indicesDataType: types.DataType = INT32): (Output, Output)

    

45. def uniqueWithCounts(indicesDataType: types.DataType = INT32): (Output, Output, Output)

    

46. def unstack(number: Int, axis: Int = 0): Seq[Output]

    

47. final def wait(): Unit

    

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

50. def where(): Output