Trait/Object

com.intel.analytics.bigdl.nn.abstractnn

Activity

Related Docs: object Activity | package abstractnn

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trait Activity extends AnyRef

Activity is a trait which represents the concept of neural input within neural networks. For now, two type of input are supported and extending this trait, which are Tensor and Table.

Linear Supertypes
AnyRef, Any
Known Subclasses
DnnTensor, DnnTensorUnsupportOperations, EmptyGradInput, QuantizedTensorUnsupported, Table, Tensor
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Abstract Value Members

  1. abstract def isTable: Boolean

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  2. abstract def isTensor: Boolean

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  3. abstract def toTable: Table

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  4. abstract def toTensor[D](implicit ev: TensorNumeric[D]): Tensor[D]

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

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

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