ConvolutionParam

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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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 getBias(): NDArray

   

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

    

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11. def getCudnn_off(): Boolean

    

12. def getCudnn_tune(): String

    

13. def getData(): NDArray

    

14. def getDilate(): Shape

    

15. def getKernel(): Shape

    

16. def getLayout(): String

    

17. def getNo_bias(): Boolean

    

18. def getNum_filter(): Integer

    

19. def getNum_group(): Integer

    

20. def getOut(): mxnet.NDArray

    

21. def getPad(): Shape

    

22. def getStride(): Shape

    

23. def getWeight(): NDArray

    

24. def getWorkspace(): Long

    

25. def hashCode(): Int

    

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26. final def isInstanceOf[T0]: Boolean

    

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

    

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28. final def notify(): Unit

    

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29. final def notifyAll(): Unit

    

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30. def setCudnn_off(cudnn_off: Boolean): ConvolutionParam

    
    cudnn_off

    Turn off cudnn for this layer.

31. def setCudnn_tune(cudnn_tune: String): ConvolutionParam

    
    cudnn_tune

    Whether to pick convolution algo by running performance test.

32. def setDilate(dilate: Shape): ConvolutionParam

    
    dilate

    Convolution dilate: (w,), (h, w) or (d, h, w). Defaults to 1 for each dimension.

33. def setLayout(layout: String): ConvolutionParam

    
    layout

    Set layout for input, output and weight. Empty for default layout: NCW for 1d, NCHW for 2d and NCDHW for 3d.NHWC and NDHWC are only supported on GPU.

34. def setNo_bias(no_bias: Boolean): ConvolutionParam

    
    no_bias

    Whether to disable bias parameter.

35. def setNum_group(num_group: Integer): ConvolutionParam

    
    num_group

    Number of group partitions.

36. def setOut(out: NDArray): ConvolutionParam

    

37. def setPad(pad: Shape): ConvolutionParam

    
    pad

    Zero pad for convolution: (w,), (h, w) or (d, h, w). Defaults to no padding.

38. def setStride(stride: Shape): ConvolutionParam

    
    stride

    Convolution stride: (w,), (h, w) or (d, h, w). Defaults to 1 for each dimension.

39. def setWorkspace(workspace: Long): ConvolutionParam

    
    workspace

    Maximum temporary workspace allowed (MB) in convolution.This parameter has two usages. When CUDNN is not used, it determines the effective batch size of the convolution kernel. When CUDNN is used, it controls the maximum temporary storage used for tuning the best CUDNN kernel when limited_workspace strategy is used.

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

    

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41. def toString(): String

    

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42. final def wait(): Unit

    

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

    

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

    

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