PoolingParam

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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 getCount_include_pad(): Boolean

    

11. def getCudnn_off(): Boolean

    

12. def getData(): NDArray

    

13. def getGlobal_pool(): Boolean

    

14. def getKernel(): Shape

    

15. def getLayout(): String

    

16. def getOut(): mxnet.NDArray

    

17. def getP_value(): Integer

    

18. def getPad(): Shape

    

19. def getPool_type(): String

    

20. def getPooling_convention(): String

    

21. def getStride(): Shape

    

22. def hashCode(): Int

    

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23. final def isInstanceOf[T0]: Boolean

    

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

    

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25. final def notify(): Unit

    

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26. final def notifyAll(): Unit

    

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27. 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.

28. def setCudnn_off(cudnn_off: Boolean): PoolingParam

    
    cudnn_off

    Turn off cudnn pooling and use MXNet pooling operator.

29. def setGlobal_pool(global_pool: Boolean): PoolingParam

    
    global_pool

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

30. def setKernel(kernel: Shape): PoolingParam

    
    kernel

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

31. def setLayout(layout: String): PoolingParam

    
    layout

    Set layout for input and output. Empty for default layout: NCW for 1d, NCHW for 2d and NCDHW for 3d.

32. def setOut(out: NDArray): PoolingParam

    

33. def setP_value(p_value: Integer): PoolingParam

    
    p_value

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

34. def setPad(pad: Shape): PoolingParam

    
    pad

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

35. def setPool_type(pool_type: String): PoolingParam

    
    pool_type

    Pooling type to be applied.

36. def setPooling_convention(pooling_convention: String): PoolingParam

    
    pooling_convention

    Pooling convention to be applied.

37. def setStride(stride: Shape): PoolingParam

    
    stride

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

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

    

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39. def toString(): String

    

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40. final def wait(): Unit

    

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

    

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

    

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