DeconvolutionParam

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 getAdj(): Shape

   

10. def getBias(): NDArray

    

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

    

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12. def getCudnn_off(): Boolean

    

13. def getCudnn_tune(): String

    

14. def getData(): NDArray

    

15. def getDilate(): Shape

    

16. def getKernel(): Shape

    

17. def getLayout(): String

    

18. def getNo_bias(): Boolean

    

19. def getNum_filter(): Integer

    

20. def getNum_group(): Integer

    

21. def getOut(): mxnet.NDArray

    

22. def getPad(): Shape

    

23. def getStride(): Shape

    

24. def getTarget_shape(): Shape

    

25. def getWeight(): NDArray

    

26. def getWorkspace(): Long

    

27. def hashCode(): Int

    

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28. final def isInstanceOf[T0]: Boolean

    

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

    

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30. final def notify(): Unit

    

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31. final def notifyAll(): Unit

    

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32. def setAdj(adj: Shape): DeconvolutionParam

    
    adj

    Adjustment for output shape: (w,), (h, w) or (d, h, w). If target_shape is set, adj will be ignored and computed accordingly.

33. def setCudnn_off(cudnn_off: Boolean): DeconvolutionParam

    
    cudnn_off

    Turn off cudnn for this layer.

34. def setCudnn_tune(cudnn_tune: String): DeconvolutionParam

    
    cudnn_tune

    Whether to pick convolution algorithm by running performance test.

35. def setDilate(dilate: Shape): DeconvolutionParam

    
    dilate

    Dilation factor for each dimension of the input: (w,), (h, w) or (d, h, w). Defaults to 1 for each dimension.

36. def setLayout(layout: String): DeconvolutionParam

    
    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.

37. def setNo_bias(no_bias: Boolean): DeconvolutionParam

    
    no_bias

    Whether to disable bias parameter.

38. def setNum_group(num_group: Integer): DeconvolutionParam

    
    num_group

    Number of groups partition.

39. def setOut(out: NDArray): DeconvolutionParam

    

40. def setPad(pad: Shape): DeconvolutionParam

    
    pad

    The amount of implicit zero padding added during convolution for each dimension of the input: (w,), (h, w) or (d, h, w). (kernel-1)/2 is usually a good choice. If target_shape is set, pad will be ignored and a padding that will generate the target shape will be used. Defaults to no padding.

41. def setStride(stride: Shape): DeconvolutionParam

    
    stride

    The stride used for the corresponding convolution: (w,), (h, w) or (d, h, w). Defaults to 1 for each dimension.

42. def setTarget_shape(target_shape: Shape): DeconvolutionParam

    
    target_shape

    Shape of the output tensor: (w,), (h, w) or (d, h, w).

43. def setWorkspace(workspace: Long): DeconvolutionParam

    
    workspace

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

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

    

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45. def toString(): String

    

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46. final def wait(): Unit

    

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

    

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

    

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