| public GetConvolution2dDescriptor ( int &pad_h, int &pad_w, int &u, int &v, int &upscalex, int &upscaley, cudnnConvolutionMode &mode, cudnnDataType &dataType ) : void | ||
| pad_h | int | zero-padding height: number of rows of zeros implicitly concatenated /// onto the top and onto the bottom of input images. |
| pad_w | int | zero-padding width: number of columns of zeros implicitly concatenated /// onto the left and onto the right of input images. |
| u | int | Vertical filter stride. |
| v | int | Horizontal filter stride. |
| upscalex | int | Upscale the input in x-direction. |
| upscaley | int | Upscale the input in y-direction. |
| mode | cudnnConvolutionMode | convolution mode. |
| dataType | cudnnDataType | Selects the datatype in which the computation will be done. |
| return | void | |
public void GetConvolution2dDescriptor(ref int pad_h, // zero-padding height
ref int pad_w, // zero-padding width
ref int u, // vertical filter stride
ref int v, // horizontal filter stride
ref int upscalex, // upscale the input in x-direction
ref int upscaley, // upscale the input in y-direction
ref cudnnConvolutionMode mode,
ref cudnnDataType dataType
)
{
res = CudaDNNNativeMethods.cudnnGetConvolution2dDescriptor(_desc, ref pad_h, ref pad_w, ref u, ref v, ref upscalex, ref upscaley, ref mode, ref dataType);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetConvolution2dDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}