Class

org.apache.mxnet.javaapi

normParam

Related Doc: package javaapi

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class normParam extends AnyRef

This Param Object is specifically used for norm

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Instance Constructors

  1. new normParam(data: NDArray)

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    data

    The input

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(): Shape

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

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  11. def getData(): NDArray

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  12. def getKeepdims(): Boolean

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  13. def getOrd(): Integer

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  14. def getOut(): mxnet.NDArray

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  15. def getOut_dtype(): String

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def setAxis(axis: Shape): normParam

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    axis

    The axis or axes along which to perform the reduction. The default, axis=(), will compute over all elements into a scalar array with shape (1,). If axis is int, a reduction is performed on a particular axis. If axis is a 2-tuple, it specifies the axes that hold 2-D matrices, and the matrix norms of these matrices are computed.

  22. def setKeepdims(keepdims: Boolean): normParam

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    keepdims

    If this is set to True, the reduced axis is left in the result as dimension with size one.

  23. def setOrd(ord: Integer): normParam

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    ord

    Order of the norm. Currently ord=1 and ord=2 is supported.

  24. def setOut(out: NDArray): normParam

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  25. def setOut_dtype(out_dtype: String): normParam

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    out_dtype

    The data type of the output.

  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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