Trait

com.thoughtworks.deeplearning.plugins.INDArrayLayers

ImplicitsApi

Related Doc: package INDArrayLayers

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trait ImplicitsApi extends INDArrayLayers.ImplicitsApi with INDArrayLayers.ImplicitsApi

Source
INDArrayLayers.scala
Linear Supertypes
INDArrayLayers.ImplicitsApi, INDArrayLayers.ImplicitsApi, INDArrayLayers.ImplicitsApi, AnyRef, Any
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Implicits, ImplicitsApi
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  1. by any2stringadd
  2. by StringFormat
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Type Members

  1. implicit final class DoubleLayerOps[Operand0] extends AnyRef

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    An implicit wrapper that adds extension methods for differentiable double types that support the DeepLearning type class.

    An implicit wrapper that adds extension methods for differentiable double types that support the DeepLearning type class.

    Definition Classes
    ImplicitsApi

  2. implicit final class INDArrayLayerOps[Operand0] extends AnyRef

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    An implicit wrapper that adds extension methods for differentiable n-dimensional array types that support the DeepLearning type class.

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def +(other: String): String

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to any2stringadd[ImplicitsApi] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd

  4. def ->[B](y: B): (ImplicitsApi, B)

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to ArrowAssoc[ImplicitsApi] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()

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

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    Definition Classes
    AnyRef → Any

  6. implicit def Double*Double[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  7. implicit def Double*INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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  8. implicit def Double+Double[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  9. implicit def Double+INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  10. implicit def Double-Double[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  11. implicit def Double-INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  12. implicit def Double/Double[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  13. implicit def Double/INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  14. implicit def INDArray*Double[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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  15. implicit def INDArray*INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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  16. implicit def INDArray+Double[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  17. implicit def INDArray+INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  18. implicit def INDArray-Double[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  19. implicit def INDArray-INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  20. implicit def INDArray/Double[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  21. implicit def INDArray/INDArray[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  22. implicit def abs(Double)[Operand0, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  23. implicit def abs(INDArray)[Operand0, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }

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  24. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  25. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  26. implicit def doubleLiteralDeepLearning: DeepLearning.Aux[Double, Double, Double]

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    Definition Classes
    ImplicitsApi

  27. implicit def eagerDoubleDsl[Differentiable, Data, Delta, Constructor, Out <: INDArrayLayers.DoubleLayer](implicit implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Dsl[Eager[Differentiable, Data, Delta], INDArrayLayers.DoubleLayer, Data]

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    Definition Classes
    ImplicitsApi

  28. implicit def eagerINDArrayDsl[Differentiable, Data, Delta, Constructor, Out <: INDArrayLayer](implicit implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Dsl[Eager[Differentiable, Data, Delta], INDArrayLayer, Data]

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  29. def ensuring(cond: (ImplicitsApi) ⇒ Boolean, msg: ⇒ Any): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  30. def ensuring(cond: (ImplicitsApi) ⇒ Boolean): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  31. def ensuring(cond: Boolean, msg: ⇒ Any): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  32. def ensuring(cond: Boolean): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

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

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    Definition Classes
    AnyRef

  34. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  35. implicit def exp(Double)[Operand0, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  36. implicit def exp(INDArray)[Operand0, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }

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  37. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  38. def formatted(fmtstr: String): String

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to StringFormat[ImplicitsApi] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()

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

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    Definition Classes
    AnyRef → Any

  40. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  41. implicit def implicitEager[Operand0](a: Operand0)(implicit deepLearning: DeepLearning[Operand0]): Eager[Operand0, Data, Delta]

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    Definition Classes
    ImplicitsApi
    Annotations
    @inline()

  42. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  43. implicit def layerDeepLearning[From, Data0, Delta0](implicit asLayer: <:<[From, INDArrayLayers.LayerApi { ... /* 2 definitions in type refinement */ }]): DeepLearning.Aux[From, Data0, Delta0]

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    Definition Classes
    ImplicitsApi

  44. implicit def log(Double)[Operand0, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  45. implicit def log(INDArray)[Operand0, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }

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  46. implicit def max(Double,Double)[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  47. implicit def max(Double,INDArray)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  48. implicit def max(INDArray,Double)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  49. implicit def max(INDArray,INDArray)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  50. implicit def min(Double,Double)[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  51. implicit def min(Double,INDArray)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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  52. implicit def min(INDArray,Double)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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  53. implicit def min(INDArray,INDArray)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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

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    Definition Classes
    AnyRef

  55. final def notify(): Unit

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  56. final def notifyAll(): Unit

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    AnyRef

  57. implicit def pow(Double,Double)[Operand0, Operand1, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.pow.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  58. implicit def pow(INDArray,Double)[Operand0, Operand1, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.pow.Case[Operand0, Operand1] { type Result = Out }

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  59. implicit def sqrt(Double)[Operand0, Out <: INDArrayLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.sqrt.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi

  60. implicit def sqrt(INDArray)[Operand0, Out <: INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.sqrt.Case[Operand0] { type Result = Out }

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

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    AnyRef

  62. def toString(): String

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  63. final def wait(): Unit

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    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  66. def →[B](y: B): (ImplicitsApi, B)

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to ArrowAssoc[ImplicitsApi] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from INDArrayLayers.ImplicitsApi

Inherited from INDArrayLayers.ImplicitsApi

Inherited from INDArrayLayers.ImplicitsApi

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion any2stringadd from ImplicitsApi to any2stringadd[ImplicitsApi]

Inherited by implicit conversion StringFormat from ImplicitsApi to StringFormat[ImplicitsApi]

Inherited by implicit conversion Ensuring from ImplicitsApi to Ensuring[ImplicitsApi]

Inherited by implicit conversion ArrowAssoc from ImplicitsApi to ArrowAssoc[ImplicitsApi]

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