org.apache.mxnet.javaapi

PoolingParam

Related Doc: package javaapi

class PoolingParam extends AnyRef

This Param Object is specifically used for Pooling

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Instance Constructors

  1. new PoolingParam(data: NDArray)

    data

    Input data to the pooling operator.

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. final def getClass(): Class[_]

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  10. def getCount_include_pad(): Boolean

  11. def getCudnn_off(): Boolean

  12. def getData(): NDArray

  13. def getGlobal_pool(): Boolean

  14. def getKernel(): Shape

  15. def getOut(): mxnet.NDArray

  16. def getP_value(): Integer

  17. def getPad(): Shape

  18. def getPool_type(): String

  19. def getPooling_convention(): String

  20. def getStride(): Shape

  21. def hashCode(): Int

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  22. final def isInstanceOf[T0]: Boolean

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

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  24. final def notify(): Unit

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  25. final def notifyAll(): Unit

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  26. def setCount_include_pad(count_include_pad: Boolean): PoolingParam

    count_include_pad

    Only used for AvgPool, specify whether to count padding elements for averagecalculation. For example, with a 5*5 kernel on a 3*3 corner of a image,the sum of the 9 valid elements will be divided by 25 if this is set to true,or it will be divided by 9 if this is set to false. Defaults to true.

  27. def setCudnn_off(cudnn_off: Boolean): PoolingParam

    cudnn_off

    Turn off cudnn pooling and use MXNet pooling operator.

  28. def setGlobal_pool(global_pool: Boolean): PoolingParam

    global_pool

    Ignore kernel size, do global pooling based on current input feature map.

  29. def setKernel(kernel: Shape): PoolingParam

    kernel

    Pooling kernel size: (y, x) or (d, y, x)

  30. def setOut(out: NDArray): PoolingParam

  31. def setP_value(p_value: Integer): PoolingParam

    p_value

    Value of p for Lp pooling, can be 1 or 2, required for Lp Pooling.

  32. def setPad(pad: Shape): PoolingParam

    pad

    Pad for pooling: (y, x) or (d, y, x). Defaults to no padding.

  33. def setPool_type(pool_type: String): PoolingParam

    pool_type

    Pooling type to be applied.

  34. def setPooling_convention(pooling_convention: String): PoolingParam

    pooling_convention

    Pooling convention to be applied.

  35. def setStride(stride: Shape): PoolingParam

    stride

    Stride: for pooling (y, x) or (d, y, x). Defaults to 1 for each dimension.

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

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  37. def toString(): String

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  38. final def wait(): Unit

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

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

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