Class

org.apache.mxnet.javaapi

LayerNormParam

Related Doc: package javaapi

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class LayerNormParam extends AnyRef

This Param Object is specifically used for LayerNorm

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Instance Constructors

  1. new LayerNormParam(data: NDArray, gamma: NDArray, beta: NDArray)

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    data

    Input data to layer normalization

    gamma

    gamma array

    beta

    beta array

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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  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. def getAxis(): Integer

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  10. def getBeta(): NDArray

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

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  12. def getData(): NDArray

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  13. def getEps(): Float

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  14. def getGamma(): NDArray

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  15. def getOut(): mxnet.NDArray

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  16. def getOutput_mean_var(): Boolean

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  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. def setAxis(axis: Integer): LayerNormParam

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    axis

    The axis to perform layer normalization. Usually, this should be be axis of the channel dimension. Negative values means indexing from right to left.

  23. def setEps(eps: Float): LayerNormParam

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    eps

    An epsilon parameter to prevent division by 0.

  24. def setOut(out: NDArray): LayerNormParam

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  25. def setOutput_mean_var(output_mean_var: Boolean): LayerNormParam

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    output_mean_var

    Output the mean and std calculated along the given axis.

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

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  27. def toString(): String

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  28. final def wait(): Unit

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

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

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