|
private cudnnSetConvolution2dDescriptor ( |
||
| convDesc | ||
| pad_h | int | |
| pad_w | int | |
| u | int | |
| v | int | |
| upscalex | int | |
| upscaley | int | |
| mode | cudnnConvolutionMode | |
| dataType | cudnnDataType | |
| 리턴 | cudnnStatus | |
public void SetConvolution2dDescriptor(int pad_h, // zero-padding height
int pad_w, // zero-padding width
int u, // vertical filter stride
int v, // horizontal filter stride
int upscalex, // upscale the input in x-direction
int upscaley, // upscale the input in y-direction
cudnnConvolutionMode mode
)
{
res = CudaDNNNativeMethods.cudnnSetConvolution2dDescriptor(_desc, pad_h, pad_w, u, v, upscalex, upscaley, mode);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetConvolution2dDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}
/// <summary>
/// This function initializes a previously created convolution descriptor object into a 2D
/// correlation. This function assumes that the tensor and filter descriptors corresponds
/// to the formard convolution path and checks if their settings are valid. That same
/// convolution descriptor can be reused in the backward path provided it corresponds to
/// the same layer.
/// </summary>
/// <param name="pad_h">zero-padding height: number of rows of zeros implicitly concatenated
/// onto the top and onto the bottom of input images.</param>
/// <param name="pad_w">zero-padding width: number of columns of zeros implicitly concatenated
/// onto the left and onto the right of input images.</param>
/// <param name="u">Vertical filter stride.</param>
/// <param name="v">Horizontal filter stride.</param>
/// <param name="dilation_h">Filter height dilation.</param>
/// <param name="dilation_w">Filter width dilation.</param>
/// <param name="mode">Selects between CUDNN_CONVOLUTION and CUDNN_CROSS_CORRELATION.</param>
/// <param name="dataType">Selects the datatype in which the computation will be done.</param>
public void SetConvolution2dDescriptor(int pad_h, // zero-padding height
int pad_w, // zero-padding width
int u, // vertical filter stride
int v, // horizontal filter stride
int dilation_h, // filter dilation in the vertical dimension
int dilation_w, // filter dilation in the horizontal dimension
cudnnConvolutionMode mode,
cudnnDataType dataType
)
{
res = CudaDNNNativeMethods.cudnnSetConvolution2dDescriptor(_desc, pad_h, pad_w, u, v, dilation_h, dilation_w, mode, dataType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetConvolution2dDescriptor", res));
if (res != cudnnStatus.Success)
{
throw new CudaDNNException(res);
}
}