Class

toolkit.neuralnetwork.function

RightCrop

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case class RightCrop(input: DifferentiableField, cropSizes: Seq[Int]) extends DifferentiableField with Product with Serializable

Crop an N-dimensional input from the "right" (the highest-indexed data in each dimension).

input

the input signal

cropSizes

the amount of padding to remove for all dimensions

Linear Supertypes
Serializable, Serializable, Product, Equals, DifferentiableField, GradientPropagation, DifferentiableFieldOps, BasicOps, AnyRef, Any
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Inherited
  1. RightCrop
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. DifferentiableField
  7. GradientPropagation
  8. DifferentiableFieldOps
  9. BasicOps
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RightCrop(input: DifferentiableField, cropSizes: Seq[Int])

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    input

    the input signal

    cropSizes

    the amount of padding to remove for all dimensions

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 *(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  4. def *(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  5. def +(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  6. def +(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  7. def -(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  8. def -(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  9. def /(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

  10. def /(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps

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

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    Definition Classes
    AnyRef → Any

  12. def activateSGD(initField: libcog.Field = ScalarField(1f), invokeCallbacks: Boolean = true): Unit

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    Definition Classes
    GradientPropagation

  13. def add(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps

  14. def add(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps

  15. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  16. var backward: Option[libcog.Field]

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    Definition Classes
    DifferentiableField

  17. def backwardCallback(back: libcog.Field): Unit

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    Definition Classes
    DifferentiableField

  18. val batchSize: Int

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    Definition Classes
    RightCrop → DifferentiableField

  19. def clone(): AnyRef

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

  20. val cropSizes: Seq[Int]

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    the amount of padding to remove for all dimensions

  21. def divide(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps

  22. def divide(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps

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

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    Definition Classes
    AnyRef

  24. def finalize(): Unit

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

  25. val forward: libcog.Field

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    Definition Classes
    RightCrop → DifferentiableField

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

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    Definition Classes
    AnyRef → Any

  27. var gradientBinding: Option[GradientBinding]

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    Definition Classes
    DifferentiableField

  28. val gradientConsumer: Boolean

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    Definition Classes
    DifferentiableField

  29. val input: DifferentiableField

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    the input signal

  30. val inputs: Map[Symbol, GradientPort]

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    Definition Classes
    RightCrop → DifferentiableField

  31. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  32. def multiply(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps

  33. def multiply(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps

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

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    Definition Classes
    AnyRef

  35. final def notify(): Unit

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    Definition Classes
    AnyRef

  36. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  37. def pow(input: DifferentiableField, n: Float): DifferentiableField

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    Raise a node to a fixed power.

    Raise a node to a fixed power. Cog has two pow() function signatures corresponding to both integer and non-integer powers. The integer case is detected here and special-cased (instead of having a separate PowN node for this).

    If the power n is anything other than a positive integer, make sure the inputs are always positive or NaNs will result.

    input

    the input signal

    n

    the power to raise the input to

    Definition Classes
    BasicOps

  38. def subtract(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps

  39. def subtract(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps

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

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    Definition Classes
    AnyRef

  41. def totalDerivative(): libcog.Field

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    Definition Classes
    GradientPropagation

  42. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from DifferentiableField

Inherited from GradientPropagation

Inherited from DifferentiableFieldOps

Inherited from BasicOps

Inherited from AnyRef

Inherited from Any

Ungrouped