/// <summary>
/// This function initializes a previously created filter descriptor object. Filters layout must
/// be contiguous in memory.
/// </summary>
/// <param name="dataType">Data type.</param>
/// <param name="format">Enumerant holding the layout format.</param>
/// <param name="nbDims">Dimension of the filter.</param>
/// <param name="filterDimA">Array of dimension nbDims containing the size of the filter for each dimension.</param>
public void SetFilterNdDescriptor(cudnnDataType dataType, // image data type
cudnnTensorFormat format,
int nbDims,
int[] filterDimA
)
{
res = CudaDNNNativeMethods.cudnnSetFilterNdDescriptor(_desc, dataType, format, nbDims, filterDimA);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetFilterNdDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
/// <summary>
/// This function initializes a previously created generic Tensor descriptor object into a
/// 4D tensor. The strides of the four dimensions are inferred from the format parameter
/// and set in such a way that the data is contiguous in memory with no padding between
/// dimensions.
/// </summary>
/// <param name="format">Type of format.</param>
/// <param name="dataType">Data type.</param>
/// <param name="n">Number of images.</param>
/// <param name="c">Number of feature maps per image.</param>
/// <param name="h">Height of each feature map.</param>
/// <param name="w">Width of each feature map.</param>
public void SetTensor4dDescriptor(cudnnTensorFormat format,
cudnnDataType dataType, // image data type
int n, // number of inputs (batch size)
int c, // number of input feature maps
int h, // height of input section
int w // width of input section
)
{
res = CudaDNNNativeMethods.cudnnSetTensor4dDescriptor(_desc, format, dataType, n, c, h, w);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetTensor4dDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
/// <summary>
/// This function initializes a previously created filter descriptor object into a 4D filter.
/// Filters layout must be contiguous in memory.
/// </summary>
/// <param name="dataType">Data type.</param>
/// <param name="format">Enumerant holding the layout format.</param>
/// <param name="k">Number of output feature maps.</param>
/// <param name="c">Number of input feature maps.</param>
/// <param name="h">Height of each filter.</param>
/// <param name="w">Width of each filter.</param>
public void SetFilter4dDescriptor(cudnnDataType dataType, // image data type
cudnnTensorFormat format,
int k, // number of output feature maps
int c, // number of input feature maps
int h, // height of each input filter
int w // width of each input fitler
)
{
res = CudaDNNNativeMethods.cudnnSetFilter4dDescriptor(_desc, dataType, format, k, c, h, w);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnSetFilter4dDescriptor", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
}
public static extern cudnnStatus cudnnSetTensor4dDescriptor(cudnnTensorDescriptor tensorDesc, cudnnTensorFormat format, cudnnDataType dataType, // image data type int n, // number of inputs (batch size) int c, // number of input feature maps int h, // height of input section int w // width of input section );
public static extern cudnnStatus cudnnSetFilterNdDescriptor(cudnnFilterDescriptor filterDesc,
cudnnDataType dataType, // image data type
cudnnTensorFormat format, // layout format
int nbDims,
int[] filterDimA
);
public static extern cudnnStatus cudnnSetFilter4dDescriptor(cudnnFilterDescriptor filterDesc,
cudnnDataType dataType, // image data type
cudnnTensorFormat format, // layout format
int k, // number of output feature maps
int c, // number of input feature maps
int h, // height of each input filter
int w // width of each input fitler
);
public static extern cudnnStatus cudnnGetFilterNdDescriptor(cudnnFilterDescriptor filterDesc,
int nbDimsRequested,
ref cudnnDataType dataType, // image data type
ref cudnnTensorFormat format, // layout format
ref int nbDims,
int[] filterDimA
);
