Class

toolkit.neuralnetwork.function

RightPad

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

Pad an N-dimensional input with zeros on the "right" (after the data in each dimension)

input

the input signal

sizes

the amount of padding to add for all dimensions

Linear Supertypes
Serializable, Serializable, Product, Equals, DifferentiableField, GradientPropagation, DifferentiableFieldOps, BasicOps, AnyRef, Any
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Inherited
  1. RightPad
  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
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Instance Constructors

  1. new RightPad(input: DifferentiableField, sizes: Seq[Int])

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    input

    the input signal

    sizes

    the amount of padding to add 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
    RightPadDifferentiableField
  19. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. def divide(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps
  21. def divide(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps
  22. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  23. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  24. val forward: libcog.Field

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    Definition Classes
    RightPadDifferentiableField
  25. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  26. var gradientBinding: Option[GradientBinding]

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    Definition Classes
    DifferentiableField
  27. val gradientConsumer: Boolean

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    Definition Classes
    DifferentiableField
  28. val input: DifferentiableField

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    the input signal

  29. val inputs: Map[Symbol, GradientPort]

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    Definition Classes
    RightPadDifferentiableField
  30. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  31. def multiply(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps
  32. def multiply(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps
  33. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  36. 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
  37. val sizes: Seq[Int]

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    the amount of padding to add for all dimensions

  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