com.intel.analytics.bigdl.nn.abstractnn

EmptyGradInput

class EmptyGradInput extends Activity with Serializable

Sometimes a module may not have gradInput in the backward(e.g. some operation layer or stopGradient in a Graph). This is allowed when the gradInput is not used anywhere.

In such case, the gradInput of the module should be marked as EmptyGradInput. This class make sure an error will happen when user try to use such gradInput.

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def isTable: Boolean

    Definition Classes
    EmptyGradInputActivity
  15. def isTensor: Boolean

    Definition Classes
    EmptyGradInputActivity
  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. def toTable: Table

    Definition Classes
    EmptyGradInputActivity
  22. def toTensor[D](implicit ev: TensorNumeric[D]): Tensor[D]

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    EmptyGradInputActivity
  23. final def wait(): Unit

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

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

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Inherited from Serializable

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Inherited from Activity

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