public void SetSparseData(List <float[]> values, List <int[]> indices)
{
if ((SparseMatrix == null))
{
Console.WriteLine("Creating sparse input arrays");
SparseMatrix = new CpuGpuMatrixSparse(_gpuModule, this.SparseDataSize, MinibatchSize, this.Size);
}
SparseMatrix.SetData(values, indices);
SparseMatrix.CopyToGPU();
}
public void SetSparseData(List<float[]> values, List<int[]> indices)
{
if ((SparseMatrix == null))
{
Console.WriteLine("Creating sparse input arrays");
SparseMatrix = new CpuGpuMatrixSparse(_gpuModule, this.SparseDataSize, MinibatchSize, this.Size);
}
SparseMatrix.SetData(values, indices);
SparseMatrix.CopyToGPU();
}
public void MultiplySparse(CpuGpuMatrixSparse A, CpuGpuArray B, CpuGpuArray C, bool transposeA)
{
FillArray(C, 0f);
var kernelCount = B.ColCount * A.NonZeroCount;
var dim = ComputeBlocksTreads(kernelCount);
var colcountA = A.ColCount;
var transposeInt = transposeA ? 1 : 0;
Gpu.Launch(dim.Item1, dim.Item2).MultiplySparseGPU2(
kernelCount,
A.GPUIndices,
A.GPUValues,
A.NonZeroCount,
colcountA,
B.GPUArray,
B.ColCount,
C.GPUArray,
transposeInt
);
return;
}
public void MultiplySparse(CpuGpuMatrixSparse A, CpuGpuArray B, CpuGpuArray C, bool transposeA)
{
FillArray(C, 0f);
var kernelCount = B.ColCount * A.NonZeroCount;
var dim = ComputeBlocksTreads(kernelCount);
var colcountA = A.ColCount;
var transposeInt = transposeA ? 1 : 0;
Gpu.Launch(dim.Item1, dim.Item2).MultiplySparseGPU2(
kernelCount,
A.GPUIndices,
A.GPUValues,
A.NonZeroCount,
colcountA,
B.GPUArray,
B.ColCount,
C.GPUArray,
transposeInt
);
return;
}
