static void Main()
{
cuda = new CUDA(true);
cublas = new CUBLAS(cuda);
//allocate vector on cuda device in main thread
CudaManager.CallMethod(AllocateVectors);
//changing first vector from other thread
Thread changeThread = new Thread(ChangeVectorOnDevice_ThreadRun)
{
IsBackground = false
};
changeThread.Start();
//wait for changeThread to finish
autoResetEvent.WaitOne();
//getting vector from device in another one thread
Thread getThread = new Thread(GetVectorFromDevice_ThreadRun)
{
IsBackground = false
};
getThread.Start();
//wait for getThread to finish
autoResetEvent.WaitOne();
Console.WriteLine("({0}, {1}, {2}, {3}, {4})", vector2[0], vector2[1], vector2[2], vector2[3], vector2[4]);
Console.ReadKey(true);
}
public Network(Worker worker)
{
_worker = worker;
_cudnn = new CUDNN(_worker);
_cublas = new CUBLAS(_worker);
_srcTensorDesc = new CUDNNTensorDescriptor();
_dstTensorDesc = new CUDNNTensorDescriptor();
_biasTensorDesc = new CUDNNTensorDescriptor();
_filterDesc = new CUDNNFilterDescriptor();
_convDesc = new CUDNNConvolutionDescriptor();
_poolingDesc = new CUDNNPoolingDescriptor();
}
public Network(Worker worker)
{
_worker = worker;
_cudnn = new CUDNN(_worker);
_cublas = new CUBLAS(_worker);
_srcTensorDesc = new CUDNNTensorDescriptor();
_dstTensorDesc = new CUDNNTensorDescriptor();
_biasTensorDesc = new CUDNNTensorDescriptor();
_filterDesc = new CUDNNFilterDescriptor();
_convDesc = new CUDNNConvolutionDescriptor();
_poolingDesc = new CUDNNPoolingDescriptor();
}
