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org.platanios.tensorflow.api

tfi

Related Doc: package api

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object tfi extends API with API with API

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Type Members

  1. type AbortedException = jni.AbortedException

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  2. type AlreadyExistsException = jni.AlreadyExistsException

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  3. type CancelledException = jni.CancelledException

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  4. type CheckpointNotFoundException = core.exception.CheckpointNotFoundException

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  5. type DataLossException = jni.DataLossException

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  6. type DeadlineExceededException = jni.DeadlineExceededException

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  7. type DeviceSpecification = core.DeviceSpecification

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  8. type FailedPreconditionException = jni.FailedPreconditionException

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  9. type GraphMismatchException = core.exception.GraphMismatchException

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  10. type IllegalNameException = core.exception.IllegalNameException

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  11. type InternalException = jni.InternalException

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  12. type InvalidArgumentException = jni.InvalidArgumentException

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  13. type InvalidDataTypeException = core.exception.InvalidDataTypeException

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  14. type InvalidDeviceException = core.exception.InvalidDeviceException

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  15. type InvalidIndexerException = core.exception.InvalidIndexerException

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  16. type InvalidShapeException = core.exception.InvalidShapeException

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  17. type NotFoundException = jni.NotFoundException

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  18. type OpBuilderUsedException = core.exception.OpBuilderUsedException

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  19. type OutOfRangeException = jni.OutOfRangeException

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  20. type PermissionDeniedException = jni.PermissionDeniedException

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  21. type ResourceExhaustedException = jni.ResourceExhaustedException

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  22. type ShapeMismatchException = core.exception.ShapeMismatchException

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  23. type UnauthenticatedException = jni.UnauthenticatedException

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  24. type UnavailableException = jni.UnavailableException

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  25. type UnimplementedException = jni.UnimplementedException

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  26. type UnknownException = jni.UnknownException

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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. val AbortedException: core.exception.AbortedException.type

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  5. val AlreadyExistsException: core.exception.AlreadyExistsException.type

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  6. val CancelledException: core.exception.CancelledException.type

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  7. val CheckpointNotFoundException: core.exception.CheckpointNotFoundException.type

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  8. val DataLossException: core.exception.DataLossException.type

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  9. val DeadlineExceededException: core.exception.DeadlineExceededException.type

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  10. val FailedPreconditionException: core.exception.FailedPreconditionException.type

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  11. val GraphMismatchException: core.exception.GraphMismatchException.type

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  12. val IllegalNameException: core.exception.IllegalNameException.type

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  13. val InternalException: core.exception.InternalException.type

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  14. val InvalidArgumentException: core.exception.InvalidArgumentException.type

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  15. val InvalidDataTypeException: core.exception.InvalidDataTypeException.type

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  16. val InvalidDeviceException: core.exception.InvalidDeviceException.type

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  17. val InvalidIndexerException: core.exception.InvalidIndexerException.type

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  18. val InvalidShapeException: core.exception.InvalidShapeException.type

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  19. val NotFoundException: core.exception.NotFoundException.type

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  20. val OpBuilderUsedException: core.exception.OpBuilderUsedException.type

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  21. val OutOfRangeException: core.exception.OutOfRangeException.type

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  22. val PermissionDeniedException: core.exception.PermissionDeniedException.type

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  23. val ResourceExhaustedException: core.exception.ResourceExhaustedException.type

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  24. val ShapeMismatchException: core.exception.ShapeMismatchException.type

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  25. val UnauthenticatedException: core.exception.UnauthenticatedException.type

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  26. val UnavailableException: core.exception.UnavailableException.type

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  27. val UnimplementedException: core.exception.UnimplementedException.type

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  28. val UnknownException: core.exception.UnknownException.type

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  29. def abs[T <: TensorLike](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  30. def acos[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  31. def acosh[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  32. def add(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  33. def addBias(value: tensors.Tensor, bias: tensors.Tensor, cNNDataFormat: CNNDataFormat = CNNDataFormat.default)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  34. def addN(inputs: Seq[tensors.Tensor])(implicit context: DynamicVariable[Context]): tensors.Tensor

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  35. def all(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  36. def angle[T <: TensorLike](input: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  37. def any(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  38. def approximatelyEqual(x: tensors.Tensor, y: tensors.Tensor, tolerance: Float = 0.00001f)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  39. def argmax(input: tensors.Tensor, axes: tensors.Tensor = 0, outputDataType: types.DataType = INT64)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  40. def argmin(input: tensors.Tensor, axes: tensors.Tensor = 0, outputDataType: types.DataType = INT64)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  41. final def asInstanceOf[T0]: T0

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  42. def asin[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  43. def asinh[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  44. def atan[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  45. def atan2(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  46. def atanh[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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

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

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  49. def binCount(input: tensors.Tensor, weights: tensors.Tensor = null, minLength: tensors.Tensor = null, maxLength: tensors.Tensor = null, dataType: types.DataType = INT32)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  50. def bitcast(input: tensors.Tensor, dataType: types.DataType)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  52. def bucketize(input: tensors.Tensor, boundaries: Seq[Float])(implicit context: DynamicVariable[Context]): tensors.Tensor

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  53. def cast[T <: TensorLike](x: T, dataType: types.DataType)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  54. def ceil[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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

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  56. def clone(): AnyRef

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  57. def complex(real: tensors.Tensor, imag: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  59. def conjugate[T <: TensorLike](input: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  60. def conv2D(input: tensors.Tensor, filter: tensors.Tensor, stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, useCuDNNOnGPU: Boolean = true)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  61. def conv2DBackpropFilter(input: tensors.Tensor, filterSizes: tensors.Tensor, outputGradient: tensors.Tensor, stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, useCuDNNOnGPU: Boolean = true)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  62. def conv2DBackpropInput(inputSizes: tensors.Tensor, filter: tensors.Tensor, outputGradient: tensors.Tensor, stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default, useCuDNNOnGPU: Boolean = true)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  63. def cos[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  64. def cosh[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  65. def countNonZero(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  66. def crelu(input: tensors.Tensor): tensors.Tensor

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  67. def cross(a: tensors.Tensor, b: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  68. def cumprod(input: tensors.Tensor, axis: tensors.Tensor = 0, exclusive: Boolean = false, reverse: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  69. def cumsum(input: tensors.Tensor, axis: tensors.Tensor = 0, exclusive: Boolean = false, reverse: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  70. def dataType(name: String): types.DataType

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  71. def dataType(cValue: Int): types.DataType

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  72. def dataTypeOf[T](value: T)(implicit arg0: SupportedType[T]): types.DataType

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

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  74. def diag(diagonal: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  75. def diagPart(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  76. def digamma[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  77. def divide(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  78. def dropout(input: tensors.Tensor, keepProbability: Float, noiseShape: tensors.Tensor = null, seed: Option[Int] = None): tensors.Tensor

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

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  80. def elu(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  82. def equal(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  83. def equals(arg0: Any): Boolean

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  84. def erf[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  85. def erfc[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  86. def exp[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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

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  88. def expm1[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  89. def finalize(): Unit

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  90. def floor[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  91. def floorMod(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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

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

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  95. def greater(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  96. def greaterEqual(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  97. def hashCode(): Int

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  98. def igamma(a: tensors.Tensor, x: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  99. def igammac(a: tensors.Tensor, x: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  100. def imag[T <: TensorLike](input: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  101. def inTopK(predictions: tensors.Tensor, targets: tensors.Tensor, k: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  102. def incompleteBeta(a: tensors.Tensor, b: tensors.Tensor, x: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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

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  105. def isFinite[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  106. def isInf[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  107. final def isInstanceOf[T0]: Boolean

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  108. def isNaN[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  109. def l2Loss(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  110. def l2Normalize(x: tensors.Tensor, axes: tensors.Tensor, epsilon: Float = 1e-12f): tensors.Tensor

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  111. def leastPreciseDataType(dataTypes: types.DataType*): types.DataType

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  112. def less(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  113. def lessEqual(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  114. def linear(x: tensors.Tensor, weights: tensors.Tensor, bias: tensors.Tensor = null): tensors.Tensor

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  115. def linspace(start: tensors.Tensor, stop: tensors.Tensor, numberOfValues: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  117. def log[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  118. def log1p[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  119. def logGamma[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  120. def logPoissonLoss(logPredictions: tensors.Tensor, targets: tensors.Tensor, computeFullLoss: Boolean = false): tensors.Tensor

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  121. def logSoftmax(logits: tensors.Tensor, axis: Int = 1)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  122. def logSumExp(input: tensors.Tensor, axes: Seq[Int] = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  123. def logicalAnd(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  124. def logicalNot(x: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  125. def logicalOr(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  126. def logicalXOr(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  127. def matmul(a: tensors.Tensor, b: tensors.Tensor, transposeA: Boolean = false, transposeB: Boolean = false, conjugateA: Boolean = false, conjugateB: Boolean = false, aIsSparse: Boolean = false, bIsSparse: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  128. def matrixBandPart(input: tensors.Tensor, numSubDiagonals: tensors.Tensor, numSuperDiagonals: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  129. def matrixDiag(diagonal: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  130. def matrixDiagPart(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  131. def matrixSetDiag(input: tensors.Tensor, diagonal: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  133. def max(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  134. def maxPool(input: tensors.Tensor, windowSize: Seq[Long], stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  135. def maxPoolGrad(originalInput: tensors.Tensor, originalOutput: tensors.Tensor, outputGradient: tensors.Tensor, windowSize: Seq[Long], stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  136. def maxPoolGradGrad(originalInput: tensors.Tensor, originalOutput: tensors.Tensor, outputGradient: tensors.Tensor, windowSize: Seq[Long], stride1: Long, stride2: Long, padding: PaddingMode, dataFormat: CNNDataFormat = CNNDataFormat.default)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  137. def maximum(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  138. def mean(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  139. def min(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  140. def minimum(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  141. def mod(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  142. def mostPreciseDataType(dataTypes: types.DataType*): types.DataType

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  143. def multiply(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  145. def negate[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  146. def notEqual(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  147. final def notify(): Unit

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  148. final def notifyAll(): Unit

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

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

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

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  152. def polygamma(n: tensors.Tensor, x: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  153. def pow(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  155. def prod(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  156. def randomNormal(dataType: types.DataType = FLOAT32, shape: tensors.Tensor = Shape.scalar(), mean: tensors.Tensor = 0.0, standardDeviation: tensors.Tensor = 1.0, seed: Option[Int] = None)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  157. def randomTruncatedNormal(dataType: types.DataType = FLOAT32, shape: tensors.Tensor = Shape.scalar(), mean: tensors.Tensor = 0.0, standardDeviation: tensors.Tensor = 1.0, seed: Option[Int] = None)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  158. def randomUniform(dataType: types.DataType = FLOAT32, shape: tensors.Tensor = Shape.scalar(), minValue: tensors.Tensor = 0.0, maxValue: tensors.Tensor = 1.0, seed: Option[Int] = None)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  159. def range(start: tensors.Tensor, limit: tensors.Tensor, delta: tensors.Tensor = 1, dataType: types.DataType = null)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  161. def real[T <: TensorLike](input: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  162. def realDivide(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  163. def reciprocal[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  164. def relu(input: tensors.Tensor, alpha: Float = 0.0f)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  165. def relu6(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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

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

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

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  170. def round[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  171. def roundInt[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  172. def rsqrt[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  173. def scalarMul[T](scalar: tensors.Tensor, tensor: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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

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  175. def segmentMax(data: tensors.Tensor, segmentIndices: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  176. def segmentMean(data: tensors.Tensor, segmentIndices: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  177. def segmentMin(data: tensors.Tensor, segmentIndices: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  178. def segmentProd(data: tensors.Tensor, segmentIndices: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  179. def segmentSum(data: tensors.Tensor, segmentIndices: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  180. def select(condition: tensors.Tensor, x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  181. def selu(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  182. def sequenceLoss(logits: tensors.Tensor, labels: tensors.Tensor, weights: tensors.Tensor = null, averageAcrossTimeSteps: Boolean = true, averageAcrossBatch: Boolean = true, lossFn: (tensors.Tensor, tensors.Tensor) ⇒ tensors.Tensor = sparseSoftmaxCrossEntropy(_, _)): tensors.Tensor

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

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

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

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  186. def sigmoid[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  187. def sigmoidCrossEntropy(logits: tensors.Tensor, labels: tensors.Tensor, weights: tensors.Tensor = null): tensors.Tensor

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  188. def sign[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  189. def sin[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  190. def sinh[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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

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  192. def softmax(logits: tensors.Tensor, axis: Int = 1)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  193. def softmaxCrossEntropy(logits: tensors.Tensor, labels: tensors.Tensor, axis: Int = 1): tensors.Tensor

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  194. def softplus(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  195. def softsign(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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

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

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  199. def sparseSegmentMean(data: tensors.Tensor, indices: tensors.Tensor, segmentIndices: tensors.Tensor, numSegments: tensors.Tensor = null)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  200. def sparseSegmentSum(data: tensors.Tensor, indices: tensors.Tensor, segmentIndices: tensors.Tensor, numSegments: tensors.Tensor = null)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  201. def sparseSegmentSumSqrtN(data: tensors.Tensor, indices: tensors.Tensor, segmentIndices: tensors.Tensor, numSegments: tensors.Tensor = null)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  202. def sparseSoftmaxCrossEntropy(logits: tensors.Tensor, labels: tensors.Tensor, axis: Int = 1): tensors.Tensor

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

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

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  205. def sqrt[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  206. def square[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  207. def squaredDifference(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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

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

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  211. def subtract(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  212. def sum(input: tensors.Tensor, axes: tensors.Tensor = null, keepDims: Boolean = false)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  214. def tan[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  215. def tanh[T](x: T)(implicit arg0: TensorOps[T], context: DynamicVariable[Context]): T

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  216. def tensorDot(a: tensors.Tensor, b: tensors.Tensor, axesA: tensors.Tensor, axesB: tensors.Tensor): tensors.Tensor

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  217. def tensorDot(a: tensors.Tensor, b: tensors.Tensor, numAxes: tensors.Tensor): tensors.Tensor

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

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  219. def toString(): String

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  220. def topK(input: tensors.Tensor, k: tensors.Tensor = 1, sorted: Boolean = true)(implicit context: DynamicVariable[Context]): (tensors.Tensor, tensors.Tensor)

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  221. def trace(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  223. def truncateDivide(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  224. def truncateMod(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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

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  227. def unsortedSegmentMax(data: tensors.Tensor, segmentIndices: tensors.Tensor, segmentsNumber: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  228. def unsortedSegmentSum(data: tensors.Tensor, segmentIndices: tensors.Tensor, segmentsNumber: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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

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  230. final def wait(): Unit

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

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

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

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  234. def zerosFraction(input: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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  235. def zeta(x: tensors.Tensor, q: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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Deprecated Value Members

  1. def floorDivide(x: tensors.Tensor, y: tensors.Tensor)(implicit context: DynamicVariable[Context]): tensors.Tensor

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    @deprecated
    Deprecated

    (Since version 0.1) Use truncateDivide instead.

Inherited from API

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Inherited from Random

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Inherited from Math

Inherited from Basic

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