Class

com.thoughtworks.deeplearning.DifferentiableINDArray.Layers

MaxPool

Related Doc: package Layers

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final case class MaxPool[Input0 <: Batch](operand: Aux[Input0, Batch], dimensions: Int*) extends Unary with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Unary, BufferedLayer, Layer, AnyRef, Any
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Inherited
  1. MaxPool
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Unary
  7. BufferedLayer
  8. Layer
  9. AnyRef
  10. Any
Implicitly
  1. by toINDArrayLayerOps
  2. by any2stringadd
  3. by StringFormat
  4. by Ensuring
  5. by ArrowAssoc
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MaxPool(operand: Aux[Input0, Batch], dimensions: Int*)

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Type Members

  1. type BufferedBatch = INDArraySemigroupBatch with SemigroupBatch with UnaryBatch

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    Definition Classes
    MaxPool → Unary → BufferedLayer

  2. type Input = Input0

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    Definition Classes
    MaxPool → Layer

  3. trait MonoidBatch extends ReferenceCount

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    Attributes
    protected
    Definition Classes
    BufferedLayer

  4. type Output = (BufferedBatch)#Self

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    Definition Classes
    BufferedLayer → Layer

  5. trait ReferenceCount extends Batch

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    Attributes
    protected
    Definition Classes
    BufferedLayer

  6. trait SemigroupBatch extends ReferenceCount

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    Attributes
    protected
    Definition Classes
    BufferedLayer

  7. trait UnaryBatch extends BufferedLayer.Unary.ReferenceCount

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    Attributes
    protected
    Definition Classes
    Unary

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 MaxPool[Input0] to any2stringadd[MaxPool[Input0]] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd

  4. def ->[B](y: B): (MaxPool[Input0], B)

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to ArrowAssoc[MaxPool[Input0]] 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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @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 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 MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  9. val dimensions: Int*

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

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  11. def dynamicReshape(newShape: Aux[Input, Aux[Seq[Int], (Int, Float)]]): Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  12. def ensuring(cond: (MaxPool[Input0]) ⇒ Boolean, msg: ⇒ Any): MaxPool[Input0]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to Ensuring[MaxPool[Input0]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  13. def ensuring(cond: (MaxPool[Input0]) ⇒ Boolean): MaxPool[Input0]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to Ensuring[MaxPool[Input0]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  14. def ensuring(cond: Boolean, msg: ⇒ Any): MaxPool[Input0]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to Ensuring[MaxPool[Input0]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  15. def ensuring(cond: Boolean): MaxPool[Input0]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to Ensuring[MaxPool[Input0]] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

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

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    Definition Classes
    AnyRef

  17. def finalize(): Unit

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

  18. def formatted(fmtstr: String): String

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to StringFormat[MaxPool[Input0]] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()

  19. final def forward(input: Input): Output

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    Definition Classes
    BufferedLayer → Layer

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

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    Definition Classes
    AnyRef → Any

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

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  22. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  23. def maxPool(dimensions: Int*): Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  24. def mean: Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

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

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    Definition Classes
    AnyRef

  26. final def notify(): Unit

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    Definition Classes
    AnyRef

  27. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  28. val operand: Aux[Input0, Batch]

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    Definition Classes
    MaxPool → Unary

  29. 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 MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps
    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]

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    [use case]

    [use case]
    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps
    Full Signature

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

  31. def rawForward(input0: Input): BufferedBatch

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    Attributes
    protected
    Definition Classes
    MaxPool → BufferedLayer

  32. 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 MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps
    Full Signature

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

  33. 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 MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps
    Full Signature

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

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

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

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

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  36. def sum: Aux[Input, Batch]

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

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

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    Definition Classes
    AnyRef

  38. 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 MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

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

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] 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[MaxPool[Input0], 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.
    Definition Classes
    INDArrayLayerOps

  40. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  43. def →[B](y: B): (MaxPool[Input0], B)

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    Implicit information
    This member is added by an implicit conversion from MaxPool[Input0] to ArrowAssoc[MaxPool[Input0]] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Unary

Inherited from BufferedLayer

Inherited from Layer

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion toINDArrayLayerOps from MaxPool[Input0] to INDArrayLayerOps[Input]

Inherited by implicit conversion any2stringadd from MaxPool[Input0] to any2stringadd[MaxPool[Input0]]

Inherited by implicit conversion StringFormat from MaxPool[Input0] to StringFormat[MaxPool[Input0]]

Inherited by implicit conversion Ensuring from MaxPool[Input0] to Ensuring[MaxPool[Input0]]

Inherited by implicit conversion ArrowAssoc from MaxPool[Input0] to ArrowAssoc[MaxPool[Input0]]

Ungrouped