private void SetCudaDataForFormat()
{
evalThreads = threadsPerRow * sliceSize;
int N = sizeSV;
evalBlocks = (int)Math.Ceiling(1.0 * N * threadsPerRow / evalThreads);
align = (int)Math.Ceiling(1.0 * sliceSize * threadsPerRow / 64) * 64;
float[] vecVals;
int[] vecColIdx;
int[] vecLenght;
int[] sliceStart;
CudaHelpers.TransformToSERTILP(out vecVals, out vecColIdx, out sliceStart, out vecLenght, TrainedModel.SupportElements, threadsPerRow, sliceSize, preFechSize);
float[] selfSum = TrainedModel.SupportElements.AsParallel().Select(c => c.Values.Sum()).ToArray();
//copy data to device, set cuda function parameters
//copy data to device, set cuda function parameters
valsPtr = cuda.CopyHostToDevice(vecVals);
idxPtr = cuda.CopyHostToDevice(vecColIdx);
vecLengthPtr = cuda.CopyHostToDevice(vecLenght);
sliceStartPtr = cuda.CopyHostToDevice(sliceStart);
selfSumPtr = cuda.CopyHostToDevice(selfSum);
}