public void Test()
{
IntPtr pInputDesc = IntPtr.Zero;
IntPtr pOutputDesc = IntPtr.Zero;
IntPtr pFilterDesc = IntPtr.Zero;
IntPtr pConvDesc = IntPtr.Zero;
cudnnDataType dataType = cudnnDataType.CUDNN_DATA_FLOAT;
int n_in = 64; // Number of images - originally 128
int c_in = 96; // Number of feature maps per image - originally 96
int h_in = 221; // Height of each feature map - originally 221
int w_in = 221; // Width of each feature map - originally 221
cuDNN6 dnn = new cuDNN6();
pInputDesc = dnn.CreateTensorDescriptor();
pOutputDesc = dnn.CreateTensorDescriptor();
pFilterDesc = dnn.CreateFilterDescriptor();
pConvDesc = dnn.CreateConvolutionDescriptor();
dnn.SetTensor4dDescriptor(pInputDesc, cudnnTensorFormat.CUDNN_TENSOR_NCHW, dataType, n_in, c_in, h_in, w_in);
//dnn.Getten
Console.WriteLine(pInputDesc);
dnn.DestroyConvolutionDescriptor(pConvDesc);
dnn.DestroyFilterDescriptor(pFilterDesc);
dnn.DestroyTensorDescriptor(pOutputDesc);
dnn.DestroyTensorDescriptor(pInputDesc);
}
