Class

com.intel.analytics.bigdl.nn.abstractnn

EmptyGradInput

Related Doc: package abstractnn

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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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Serializable, Serializable, Activity, AnyRef, Any
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  1. EmptyGradInput
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  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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  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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  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. def isTable: Boolean

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    EmptyGradInputActivity
  13. def isTensor: Boolean

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    EmptyGradInputActivity
  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. def toTable: Table

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    EmptyGradInputActivity
  20. def toTensor[D](implicit ev: TensorNumeric[D]): Tensor[D]

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    EmptyGradInputActivity
  21. final def wait(): Unit

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

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

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Inherited from Serializable

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Inherited from Activity

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