com.thoughtworks.deeplearning

DifferentiableSeq

object DifferentiableSeq

A namespace of common operators for Seq layers.

After importing DifferentiableSeq._, the following methods will be available on Seq layers.

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  1. final class SeqLayerOps[Input <: Tape, ElementData, ElementDelta] extends AnyRef

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

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  6. object Layers

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. implicit def seqToLayer[From, Input0 <: Tape, ElementData, ElementDelta](implicit elementToLayer: Aux[From, Input0, ElementData, ElementDelta]): Aux[Seq[From], Input0, Seq[ElementData], (Int, ElementDelta)]

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

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  20. implicit def toSeqLayerOps[From, Input <: Tape, SeqData, SeqDelta, ElementData, ElementDelta](from: From)(implicit toLayer: Aux[From, Input, SeqData, SeqDelta], toSeqLayer: <:<[Aux[Input, Aux[SeqData, SeqDelta]], Aux[Input, Aux[Seq[ElementData], (Int, ElementDelta)]]]): SeqLayerOps[Input, ElementData, ElementDelta]

    Implicitly converts any layer to SeqLayerOps, which enables common methods for Seq layers.

    Implicitly converts any layer to SeqLayerOps, which enables common methods for Seq layers.

    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableSeq._

  21. def toString(): String

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  22. final def wait(): Unit

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

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

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