public static extern cudnnStatus cudnnGetConvolutionBackwardDataAlgorithm( cudnnHandle handle, cudnnFilterDescriptor filterDesc, cudnnTensorDescriptor diffDesc, cudnnConvolutionDescriptor convDesc, cudnnTensorDescriptor gradDesc, cudnnConvolutionBwdDataPreference preference, SizeT memoryLimitInbytes, ref cudnnConvolutionBwdDataAlgo algo );
/// <summary>
/// This function serves as a heuristic for obtaining the best suited algorithm for
/// cudnnConvolutionBackwardData_v3 for the given layer specifications. Based
/// on the input preference, this function will either return the fastest algorithm or the
/// fastest algorithm within a given memory limit. For an exhaustive search for the fastest
/// algorithm, please use cudnnFindConvolutionBackwardDataAlgorithm.
/// </summary>
/// <param name="filterDesc">Handle to a previously initialized filter descriptor.</param>
/// <param name="diffDesc">Handle to the previously initialized input differential tensor descriptor.</param>
/// <param name="convDesc">Previously initialized convolution descriptor.</param>
/// <param name="gradDesc">Handle to the previously initialized output tensor descriptor.</param>
/// <param name="preference">Enumerant to express the preference criteria in terms of memory
/// requirement and speed.</param>
/// <param name="memoryLimitInbytes">It is to specify the maximum amount of GPU memory the user is willing to
/// use as a workspace. This is currently a placeholder and is not used.</param>
/// <returns>Enumerant that specifies which convolution algorithm should be used to
/// compute the results according to the specified preference</returns>
public cudnnConvolutionBwdDataAlgo GetConvolutionBackwardDataAlgorithm(FilterDescriptor filterDesc,
TensorDescriptor diffDesc,
ConvolutionDescriptor convDesc,
TensorDescriptor gradDesc,
cudnnConvolutionBwdDataPreference preference,
SizeT memoryLimitInbytes
)
{
cudnnConvolutionBwdDataAlgo algo = new cudnnConvolutionBwdDataAlgo();
res = CudaDNNNativeMethods.cudnnGetConvolutionBackwardDataAlgorithm(_handle, filterDesc.Desc, diffDesc.Desc, convDesc.Desc, gradDesc.Desc, preference, memoryLimitInbytes, ref algo);
Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "cudnnGetConvolutionBackwardDataAlgorithm", res));
if (res != cudnnStatus.Success) throw new CudaDNNException(res);
return algo;
}