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trait Basic extends AnyRef

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Basic
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  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[T, I](input: Tensor[T], blockSize: Int, crops: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  6. def batchToSpaceND[T, I1, I2](input: Tensor[T], blockShape: Tensor[I1], crops: Tensor[I2])(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]): Tensor[T]
  7. def booleanMask[T](input: Tensor[T], mask: Tensor[Boolean])(implicit arg0: core.types.TF[T]): Tensor[T]
  8. def checkNumerics[T](input: Tensor[T], message: String = "")(implicit arg0: core.types.TF[T], arg1: core.types.IsDecimal[T]): Tensor[T]
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  10. def concatenate[T](inputs: Seq[Tensor[T]], axis: Tensor[Int] = 0)(implicit arg0: core.types.TF[T]): Tensor[T]
  11. def depthToSpace[T](input: Tensor[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T]): Tensor[T]
  12. def editDistance[T](hypothesis: SparseTensor[T], truth: SparseTensor[T], normalize: Boolean = true)(implicit arg0: core.types.TF[T]): Tensor[Float]
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  15. def expandDims[T, I](input: Tensor[T], axis: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  16. def gather[T, I1, I2](input: Tensor[T], indices: Tensor[I1], axis: Tensor[I2])(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]): Tensor[T]
  17. def gather[T, I1](input: Tensor[T], indices: Tensor[I1])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I1], arg2: core.types.IsIntOrLong[I1]): Tensor[T]
  18. def gatherND[T, I](input: Tensor[T], indices: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  19. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  20. def hashCode(): Int
    Definition Classes
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    Annotations
    @native() @HotSpotIntrinsicCandidate()
  21. def indexedSlicesMask[T](input: TensorIndexedSlices[T], maskIndices: Tensor[Int])(implicit arg0: core.types.TF[T]): TensorIndexedSlices[T]
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  22. def invertPermutation[I](input: Tensor[I])(implicit arg0: core.types.TF[I], arg1: core.types.IsIntOrLong[I]): Tensor[I]
  23. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  24. def listDiff[T, I](x: Tensor[T], y: Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Tensor[T], Tensor[I])
  25. def matrixTranspose[T](input: Tensor[T], conjugate: Boolean = false)(implicit arg0: core.types.TF[T]): Tensor[T]
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  26. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  27. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  28. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  29. def pad[T, I](input: Tensor[T], paddings: Tensor[I], mode: ops.basic.Basic.PaddingMode = ConstantPadding(Some(Tensor(0))))(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  30. def parallelStack[T](inputs: Seq[Tensor[T]])(implicit arg0: core.types.TF[T]): Tensor[T]
  31. def preventGradient[T](input: Tensor[T], message: String = "")(implicit arg0: core.types.TF[T]): Tensor[T]
  32. def rank[T <: TensorLike[_]](input: T): Tensor[Int]
  33. def requiredSpaceToBatchPaddingsAndCrops(inputShape: Tensor[Int], blockShape: Tensor[Int], basePaddings: Tensor[Int] = null): (Tensor[Int], Tensor[Int])
    Annotations
    @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidShapeException])
  34. def reshape[T, I](input: Tensor[T], shape: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  35. def reverse[T, I](input: Tensor[T], axes: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  36. def reverseSequence[T, I](input: Tensor[T], sequenceLengths: Tensor[I], sequenceAxis: Int, batchAxis: Int = 0)(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  37. def scatterND[T, I](indices: Tensor[I], updates: Tensor[T], shape: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  38. def sequenceMask[T](lengths: Tensor[T], maxLength: Tensor[T] = null)(implicit arg0: core.types.TF[T], arg1: core.types.IsIntOrUInt[T]): Tensor[Boolean]
    Annotations
    @throws(scala.this.throws.<init>$default$1[IllegalArgumentException])
  39. def shape[T <: TensorLike[_]](input: T): Tensor[Int]
  40. def shapeN(inputs: Seq[Tensor[_]]): Seq[Tensor[Int]]
  41. def size[T <: TensorLike[_]](input: T): Tensor[Long]
  42. def spaceToBatch[T, I](input: Tensor[T], blockSize: Int, paddings: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  43. def spaceToBatchND[T, I1, I2](input: Tensor[T], blockShape: Tensor[I1], paddings: Tensor[I2])(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]): Tensor[T]
  44. def spaceToDepth[T](input: Tensor[T], blockSize: Int, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit arg0: core.types.TF[T]): Tensor[T]
  45. def split[T, I](input: Tensor[T], splitSizes: Tensor[I], axis: Tensor[Int] = 0)(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Seq[Tensor[T]]
  46. def splitEvenly[T](input: Tensor[T], numSplits: Int, axis: Tensor[Int] = 0)(implicit arg0: core.types.TF[T]): Seq[Tensor[T]]
  47. def squeeze[T](input: Tensor[T], axes: Seq[Int] = null)(implicit arg0: core.types.TF[T]): Tensor[T]
  48. def stack[T](inputs: Seq[Tensor[T]], axis: Int = 0)(implicit arg0: core.types.TF[T]): Tensor[T]
  49. def stopGradient[T](input: Tensor[T])(implicit arg0: core.types.TF[T]): Tensor[T]
  50. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
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  51. def tile[T, I](input: Tensor[T], multiples: Tensor[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): Tensor[T]
  52. def toString(): String
    Definition Classes
    AnyRef → Any
  53. def transpose[T, I](input: Tensor[T], permutation: Tensor[I] = null, conjugate: Boolean = false)(implicit arg0: core.types.TF[T], arg1: IntDefault[I], arg2: core.types.TF[I], arg3: core.types.IsIntOrLong[I]): Tensor[T]
  54. def unique[T, I](input: Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Tensor[T], Tensor[I])
  55. def uniqueWithCounts[T, I](input: Tensor[T], indicesDataType: core.types.DataType[I])(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): (Tensor[T], Tensor[I], Tensor[I])
  56. def unstack[T](input: Tensor[T], number: Int = -1, axis: Int = 0)(implicit arg0: core.types.TF[T]): Seq[Tensor[T]]
  57. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException])
  58. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws(classOf[java.lang.InterruptedException]) @native()
  59. final def wait(): Unit
    Definition Classes
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    Annotations
    @throws(classOf[java.lang.InterruptedException])
  60. def where[T](input: Tensor[T])(implicit arg0: core.types.TF[T], arg1: core.types.IsBooleanOrNumeric[T]): Tensor[Long]

Deprecated Value Members

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

    (Since version ) see corresponding Javadoc for more information.

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