Class

com.thoughtworks.deeplearning.DifferentiableINDArray

INDArrayLayerOps

Related Doc: package DifferentiableINDArray

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final class INDArrayLayerOps[Input <: Batch] extends AnyRef

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  1. INDArrayLayerOps
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Implicitly
  1. by toINDArrayLayerOps
  2. by any2stringadd
  3. by StringFormat
  4. by Ensuring
  5. by ArrowAssoc
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Instance Constructors

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

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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. def +(other: String): String

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

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

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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

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    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

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

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

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

  11. def ensuring(cond: (INDArrayLayerOps[Input]) ⇒ Boolean): INDArrayLayerOps[Input]

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

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

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

  13. def ensuring(cond: Boolean): INDArrayLayerOps[Input]

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

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

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    AnyRef

  15. def equals(arg0: Any): Boolean

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  16. def finalize(): Unit

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

  17. def formatted(fmtstr: String): String

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

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

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  19. def hashCode(): Int

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  20. def im2col(kernel: Array[Int], stride: Array[Int], padding: Array[Int]): Aux[Input, Batch]

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    Im2col ops

    Im2col ops

    kernel

    kernel size / filter size

    stride

    stride size

    padding

    padding size

  21. final def isInstanceOf[T0]: Boolean

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

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  23. def mean: Aux[Input, Batch]

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    Return mean of all elements of NDArray

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

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  25. final def notify(): Unit

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    AnyRef

  26. final def notifyAll(): Unit

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    AnyRef

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

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    [use case]

    [use case]
    Full Signature

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

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

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    [use case]

    [use case]
    Full Signature

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

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

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    [use case]

    [use case]
    Full Signature

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

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

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    [use case]

    [use case]
    Full Signature

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

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

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    Return shape of NDArray

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

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    Return sum dimensions of NDArray,will return an INDArrayPlaceholder

  33. def sum: Aux[Input, Batch]

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    Return sum of all elements of NDArray

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

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    Definition Classes
    AnyRef

  35. def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

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  36. def toString(): String

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    AnyRef → Any

  37. def unary_-: Aux[Input, Batch]

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  38. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

  41. def →[B](y: B): (INDArrayLayerOps[Input], B)

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    Implicit information
    This member is added by an implicit conversion from INDArrayLayerOps[Input] to ArrowAssoc[INDArrayLayerOps[Input]] performed by method ArrowAssoc 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]

    Permalink

    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]

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    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]

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    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]

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    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]

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    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]

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    [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]

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    [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]

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    [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]

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

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    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

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

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    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)

  12. def sum: Aux[Input, Batch]

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    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

  13. def toSeq: Aux[Input, Aux[Seq[Seq[Double]], (Int, (Int, Double))]]

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    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

  14. def unary_-: Aux[Input, Batch]

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    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_-

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 any2stringadd[INDArrayLayerOps[Input]]

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

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

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

Ungrouped