Type

com.thoughtworks.deeplearning.Layer

Aux

Related Doc: package Layer

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type Aux[-Input0 <: Batch, +Output0 <: Batch] = Layer { ... /* 2 definitions in type refinement */ }

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Type Members

  1. abstract type Input >: Input0

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    <refinement> → Layer
  2. abstract type Output <: Output0

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    <refinement> → Layer

Abstract Value Members

  1. abstract def forward(input: BatchId.Aux[Layer.Input]): BatchId.Aux[Layer.Output]

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    Layer

Concrete Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. def toString(): String

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  17. final def wait(): Unit

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    @throws( ... )
  18. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Layer

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