Trait

com.thoughtworks.deeplearning.plugins.Builtins

ImplicitsApi

Related Doc: package Builtins

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trait ImplicitsApi extends Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi

Source
Builtins.scala
Linear Supertypes
Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, DoubleInstances, DoubleInstances, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, FloatInstances, FloatInstances, Builtins.ImplicitsApi, ToDeepLearningOps, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, AnyRef, Any
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  4. ImplicitsApi
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  6. ImplicitsApi
  7. ImplicitsApi
  8. ImplicitsApi
  9. ImplicitsApi
  10. DoubleInstances
  11. DoubleInstances
  12. ImplicitsApi
  13. ImplicitsApi
  14. ImplicitsApi
  15. FloatInstances
  16. FloatInstances
  17. ImplicitsApi
  18. ToDeepLearningOps
  19. ImplicitsApi
  20. ImplicitsApi
  21. ImplicitsApi
  22. AnyRef
  23. Any
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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 FloatLayerOps[Operand0] extends AnyRef

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

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

    Definition Classes
    ImplicitsApi

  3. 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.

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

    Definition Classes
    ImplicitsApi

  4. implicit final class PolymorphicOps[Operand0] extends AnyRef

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    An implicit wrapper that adds extension methods of common mathematics operations.

    An implicit wrapper that adds extension methods of common mathematics operations.

    Definition Classes
    ImplicitsApi

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    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 <: Builtins.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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  7. implicit def Double*INDArray[Operand0, Operand1, Out <: Builtins.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 <: Builtins.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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  9. implicit def Double+INDArray[Operand0, Operand1, Out <: Builtins.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 <: Builtins.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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  11. implicit def Double-INDArray[Operand0, Operand1, Out <: Builtins.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 <: Builtins.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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  13. implicit def Double/INDArray[Operand0, Operand1, Out <: Builtins.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. val DoubleMinMaxLattice: DistributiveLattice[Double]

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    DoubleInstances

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

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  16. implicit def Float+Float[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  17. implicit def Float-Float[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  18. implicit def Float/Float[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  19. val FloatMinMaxLattice: DistributiveLattice[Float]

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  20. implicit def INDArray*Double[Operand0, Operand1, Out <: Builtins.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 <: Builtins.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 INDArray+Double[Operand0, Operand1, Out <: Builtins.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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  23. implicit def INDArray+INDArray[Operand0, Operand1, Out <: Builtins.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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  24. implicit def INDArray-Double[Operand0, Operand1, Out <: Builtins.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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  25. implicit def INDArray-INDArray[Operand0, Operand1, Out <: Builtins.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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  26. implicit def INDArray/Double[Operand0, Operand1, Out <: Builtins.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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  27. implicit def INDArray/INDArray[Operand0, Operand1, Out <: Builtins.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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  28. implicit def abs(Double)[Operand0, Out <: Builtins.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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  29. implicit def abs(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }

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  30. implicit def abs(INDArray)[Operand0, Out <: Builtins.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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  31. final def asInstanceOf[T0]: T0

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    Any

  32. implicit val catsKernelStdGroupForDouble: CommutativeGroup[Double]

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    DoubleInstances

  33. implicit val catsKernelStdGroupForFloat: CommutativeGroup[Float]

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    FloatInstances

  34. implicit val catsKernelStdOrderForDouble: Order[Double]

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    DoubleInstances

  35. implicit val catsKernelStdOrderForFloat: Order[Float]

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    FloatInstances

  36. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  37. implicit val doubleAlgebra: Field[Double]

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    DoubleInstances

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

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

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  40. implicit def eagerFloatDsl[Differentiable, Data, Delta, Constructor, Out <: Builtins.FloatLayer](implicit implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Dsl[Eager[Differentiable, Data, Delta], Builtins.FloatLayer, Data]

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

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  42. 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

  43. 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

  44. 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

  45. 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.
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    Ensuring

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

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  47. def equals(arg0: Any): Boolean

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  48. implicit def exp(Double)[Operand0, Out <: Builtins.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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  49. implicit def exp(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }

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  50. implicit def exp(INDArray)[Operand0, Out <: Builtins.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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  51. def finalize(): Unit

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

  52. implicit val floatAlgebra: Field[Float]

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  53. implicit def floatLiteralDeepLearning: DeepLearning.Aux[Float, Float, Float]

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  54. 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()

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

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  56. def hashCode(): Int

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  57. implicit def hconsDeepLearning[Head, Tail <: HList, HeadData, TailData <: HList, HeadDelta, TailDelta <: HList](implicit headDeepLearning: DeepLearning.Aux[Head, HeadData, HeadDelta], tailDeepLearning: DeepLearning.Aux[Tail, TailData, TailDelta]): DeepLearning.Aux[::[Head, Tail], ::[HeadData, TailData], ::[HeadDelta, TailDelta]]

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  58. implicit def hnilDeepLearning[L <: HNil]: DeepLearning.Aux[L, HNil, HNil]

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

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    @inline()

  60. implicit def indArrayLiteralDeepLearning: DeepLearning.Aux[INDArray, INDArray, INDArray]

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  61. implicit final def indArrayMultiplicativeMonoid: MultiplicativeMonoid[INDArray]

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  62. final def isInstanceOf[T0]: Boolean

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

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  64. implicit def log(Double)[Operand0, Out <: Builtins.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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  65. implicit def log(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }

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  66. implicit def log(INDArray)[Operand0, Out <: Builtins.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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  67. implicit def max(Double,Double)[Operand0, Operand1, Out <: Builtins.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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  68. implicit def max(Double,INDArray)[Operand0, Operand1, Out <: Builtins.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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  69. implicit def max(Float,Float)[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  70. implicit def max(INDArray,Double)[Operand0, Operand1, Out <: Builtins.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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  71. implicit def max(INDArray,INDArray)[Operand0, Operand1, Out <: Builtins.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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  72. implicit def min(Double,Double)[Operand0, Operand1, Out <: Builtins.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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  73. implicit def min(Double,INDArray)[Operand0, Operand1, Out <: Builtins.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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  74. implicit def min(Float,Float)[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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  75. implicit def min(INDArray,Double)[Operand0, Operand1, Out <: Builtins.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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  76. implicit def min(INDArray,INDArray)[Operand0, Operand1, Out <: Builtins.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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  77. final def ne(arg0: AnyRef): Boolean

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  78. final def notify(): Unit

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  79. final def notifyAll(): Unit

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  80. implicit def pow(Double,Double)[Operand0, Operand1, Out <: Builtins.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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  81. implicit def pow(Float,Float)[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.pow.Case[Operand0, Operand1] { type Result = Out }

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  82. implicit def pow(INDArray,Double)[Operand0, Operand1, Out <: Builtins.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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  83. implicit def productDeepLearning[Operand, L, DataHList <: HList, DeltaHList <: HList, DataTuple, DeltaTuple](implicit generic: shapeless.Generic.Aux[Operand, L], deepLearning: DeepLearning.Aux[L, DataHList, DeltaHList], dataTupler: shapeless.ops.hlist.Tupler.Aux[DataHList, DataTuple], deltaTupler: shapeless.ops.hlist.Tupler.Aux[DeltaHList, DeltaTuple], genericDelta: shapeless.Generic.Aux[DeltaTuple, DeltaHList]): DeepLearning.Aux[Operand, DataTuple, DeltaTuple]

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  84. implicit def sqrt(Double)[Operand0, Out <: Builtins.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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    ImplicitsApi

  85. implicit def sqrt(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.sqrt.Case[Operand0] { type Result = Out }

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    ImplicitsApi

  86. implicit def sqrt(INDArray)[Operand0, Out <: Builtins.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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    ImplicitsApi

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

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    AnyRef

  88. implicit def toDeepLearningOps[Differentiable](target: Differentiable)(implicit tc: DeepLearning[Differentiable]): Ops[Differentiable] { type TypeClassType = com.thoughtworks.deeplearning.DeepLearning[Differentiable]{type Data = tc.Data; type Delta = tc.Delta} }

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    Definition Classes
    ToDeepLearningOps
    Annotations
    @SuppressWarnings()

  89. def toString(): String

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    AnyRef → Any

  90. final def wait(): Unit

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    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    @throws( ... )

  93. implicit def weightDeepLearning[SubtypeOfWeight, Data0, Delta0, OriginalDeltaRest, SubtypeOfOptimizer](implicit asWeight: <:<[SubtypeOfWeight, Builtins.WeightApi { ... /* 3 definitions in type refinement */ }], implicitApplyRest: feature.ImplicitApply.Aux[OriginalDeltaRest, SubtypeOfOptimizer], asOptimizer: <:<[SubtypeOfOptimizer, Builtins.OptimizerApi { type Delta = Delta0 }]): DeepLearning.Aux[SubtypeOfWeight, Data0, Delta0]

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    Definition Classes
    ImplicitsApi

  94. 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 Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from DoubleInstances

Inherited from DoubleInstances

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from FloatInstances

Inherited from FloatInstances

Inherited from Builtins.ImplicitsApi

Inherited from ToDeepLearningOps

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.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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