com.thoughtworks.deeplearning.DifferentiableINDArray

INDArrayLayerOps

final class INDArrayLayerOps[Input <: Batch] extends AnyRef

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  1. INDArrayLayerOps
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  1. by toINDArrayLayerOps
  2. by any2stringadd
  3. by any2stringfmt
  4. by any2ArrowAssoc
  5. by any2Ensuring
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Instance Constructors

  1. new INDArrayLayerOps(operand: Aux[Input, Batch])

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. def +(other: String): String

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to StringAdd performed by method any2stringadd in scala.Predef.
    Definition Classes
    StringAdd
  5. def ->[B](y: B): (INDArrayLayerOps[Input], B)

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to ArrowAssoc[INDArrayLayerOps[Input]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  7. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( ... )
  10. def convn(weight: Aux[Input, Batch], bias: Aux[Input, Batch], kernel: (Int, Int), stride: (Int, Int), padding: (Int, Int)): Aux[Input, Batch]

    calculate the convolution

    calculate the convolution

    weight

    4 dimensions weight

    bias

    1 dimension bias

    kernel

    the kernel/filter width and height

    stride

    the stride width and height

    padding

    the padding width and height

    returns

    convolution result

  11. def dot(right: Aux[Input, Batch]): Aux[Input, Batch]

  12. def ensuring(cond: (INDArrayLayerOps[Input]) ⇒ Boolean, msg: ⇒ Any): INDArrayLayerOps[Input]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to Ensuring[INDArrayLayerOps[Input]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  13. def ensuring(cond: (INDArrayLayerOps[Input]) ⇒ Boolean): INDArrayLayerOps[Input]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to Ensuring[INDArrayLayerOps[Input]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  14. def ensuring(cond: Boolean, msg: ⇒ Any): INDArrayLayerOps[Input]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to Ensuring[INDArrayLayerOps[Input]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  15. def ensuring(cond: Boolean): INDArrayLayerOps[Input]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to Ensuring[INDArrayLayerOps[Input]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  16. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  17. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  18. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. def formatted(fmtstr: String): String

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to StringFormat performed by method any2stringfmt in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  20. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  21. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  22. def im2col(kernel: Array[Int], stride: Array[Int], padding: Array[Int]): Aux[Input, Batch]

    Im2col ops

    Im2col ops

    kernel

    kernel size / filter size

    stride

    stride size

    padding

    padding size

  23. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  24. def maxPool(dimensions: Int*): Aux[Input, Batch]

  25. def mean: Aux[Input, Batch]

    Return mean of all elements of NDArray

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

    Definition Classes
    AnyRef
  27. final def notify(): Unit

    Definition Classes
    AnyRef
  28. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  29. def permute(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

    [use case]

    [use case]
    Full Signature

    def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  30. def permute(newShape: Int*): Aux[Input, Batch]

    [use case]

    [use case]
    Full Signature

    def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  31. def reshape(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

    [use case]

    [use case]
    Full Signature

    def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  32. def reshape(newShape: Int*): Aux[Input, Batch]

    [use case]

    [use case]
    Full Signature

    def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  33. def shape: Aux[Input, Aux[Seq[Int], (Int, Float)]]

    Return shape of NDArray

  34. def sum(dimensions: Int*): Aux[Input, Batch]

    Return sum dimensions of NDArray,will return an INDArrayPlaceholder

  35. def sum: Aux[Input, Batch]

    Return sum of all elements of NDArray

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

    Definition Classes
    AnyRef
  37. def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

  38. def toString(): String

    Definition Classes
    AnyRef → Any
  39. def unary_-: Aux[Input, Batch]

  40. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
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    Annotations
    @throws( ... )
  42. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. def [B](y: B): (INDArrayLayerOps[Input], B)

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to ArrowAssoc[INDArrayLayerOps[Input]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Shadowed Implicit Value Members

  1. def convn(weight: Aux[Input, Batch], bias: Aux[Input, Batch], kernel: (Int, Int), stride: (Int, Int), padding: (Int, Int)): Aux[Input, Batch]

    calculate the convolution

    calculate the convolution

    weight

    4 dimensions weight

    bias

    1 dimension bias

    kernel

    the kernel/filter width and height

    stride

    the stride width and height

    padding

    the padding width and height

    returns

    convolution result

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).convn(weight, bias, kernel, stride, padding)
  2. def dot(right: Aux[Input, Batch]): Aux[Input, Batch]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).dot(right)
  3. def im2col(kernel: Array[Int], stride: Array[Int], padding: Array[Int]): Aux[Input, Batch]

    Im2col ops

    Im2col ops

    kernel

    kernel size / filter size

    stride

    stride size

    padding

    padding size

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).im2col(kernel, stride, padding)
  4. def maxPool(dimensions: Int*): Aux[Input, Batch]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).maxPool(dimensions)
  5. def mean: Aux[Input, Batch]

    Return mean of all elements of NDArray

    Return mean of all elements of NDArray

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).mean
  6. def permute(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).permute(newShape)
    Full Signature

    def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  7. def permute(newShape: Int*): Aux[Input, Batch]

    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).permute(newShape)
    Full Signature

    def permute[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  8. def reshape(newShape: Aux[Input, Aux[Int, Float]]*): Aux[Input, Batch]

    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).reshape(newShape)
    Full Signature

    def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  9. def reshape(newShape: Int*): Aux[Input, Batch]

    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).reshape(newShape)
    Full Signature

    def reshape[Element](newShape: Element*)(implicit toLayer: Aux[Element, Input, Int, Float]): Aux[Input, Batch]

  10. val self: Any

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to StringAdd performed by method any2stringadd in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: StringAdd).self
    Definition Classes
    StringAdd
  11. val self: Any

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to StringFormat performed by method any2stringfmt in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: StringFormat).self
    Definition Classes
    StringFormat
  12. def shape: Aux[Input, Aux[Seq[Int], (Int, Float)]]

    Return shape of NDArray

    Return shape of NDArray

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).shape
  13. def sum(dimensions: Int*): Aux[Input, Batch]

    Return sum dimensions of NDArray,will return an INDArrayPlaceholder

    Return sum dimensions of NDArray,will return an INDArrayPlaceholder

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).sum(dimensions)
  14. def sum: Aux[Input, Batch]

    Return sum of all elements of NDArray

    Return sum of all elements of NDArray

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).sum
  15. def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).toSeq
  16. def unary_-: Aux[Input, Batch]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to INDArrayLayerOps[Input] performed by method toINDArrayLayerOps in com.thoughtworks.deeplearning.DifferentiableINDArray. This conversion will take place only if an implicit value of type Aux[INDArrayLayerOps[Input], Input, OutputData, OutputDelta] is in scope and at the same time an implicit value of type <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[INDArray, INDArray]]] is in scope.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: INDArrayLayerOps[Input]).unary_-

Deprecated Value Members

  1. def x: INDArrayLayerOps[Input]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to ArrowAssoc[INDArrayLayerOps[Input]] performed by method any2ArrowAssoc in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: ArrowAssoc[INDArrayLayerOps[Input]]).x
    Definition Classes
    ArrowAssoc
    Annotations
    @deprecated
    Deprecated

    (Since version 2.10.0) Use leftOfArrow instead

  2. def x: INDArrayLayerOps[Input]

    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to Ensuring[INDArrayLayerOps[Input]] performed by method any2Ensuring in scala.Predef.
    Shadowing
    This implicitly inherited member is ambiguous. One or more implicitly inherited members have similar signatures, so calling this member may produce an ambiguous implicit conversion compiler error.
    To access this member you can use a type ascription:
    (iNDArrayLayerOps: Ensuring[INDArrayLayerOps[Input]]).x
    Definition Classes
    Ensuring
    Annotations
    @deprecated
    Deprecated

    (Since version 2.10.0) Use resultOfEnsuring instead

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion toINDArrayLayerOps from INDArrayLayerOps[Input] to INDArrayLayerOps[Input]

Inherited by implicit conversion any2stringadd from INDArrayLayerOps[Input] to StringAdd

Inherited by implicit conversion any2stringfmt from INDArrayLayerOps[Input] to StringFormat

Inherited by implicit conversion any2ArrowAssoc from INDArrayLayerOps[Input] to ArrowAssoc[INDArrayLayerOps[Input]]

Inherited by implicit conversion any2Ensuring from INDArrayLayerOps[Input] to Ensuring[INDArrayLayerOps[Input]]

Ungrouped