typename viennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value>::type
block_inplace_solve(const matrix_expression<const SparseMatrixType, const SparseMatrixType, op_trans> & mat,
viennacl::backend::mem_handle const & block_index_array, vcl_size_t num_blocks,
viennacl::vector_base<ScalarType> const & mat_diagonal,
viennacl::vector_base<ScalarType> & vec,
SOLVERTAG tag)
{
assert( (mat.size1() == mat.size2()) && bool("Size check failed for triangular solve on transposed compressed matrix: size1(mat) != size2(mat)"));
assert( (mat.size1() == vec.size()) && bool("Size check failed for transposed compressed matrix triangular solve: size1(mat) != size(x)"));
switch (viennacl::traits::handle(mat.lhs()).get_active_handle_id())
{
case viennacl::MAIN_MEMORY:
viennacl::linalg::host_based::detail::block_inplace_solve(mat, block_index_array, num_blocks, mat_diagonal, vec, tag);
break;
#ifdef VIENNACL_WITH_OPENCL
case viennacl::OPENCL_MEMORY:
viennacl::linalg::opencl::detail::block_inplace_solve(mat, block_index_array, num_blocks, mat_diagonal, vec, tag);
break;
#endif
#ifdef VIENNACL_WITH_CUDA
case viennacl::CUDA_MEMORY:
viennacl::linalg::cuda::detail::block_inplace_solve(mat, block_index_array, num_blocks, mat_diagonal, vec, tag);
break;
#endif
case viennacl::MEMORY_NOT_INITIALIZED:
throw memory_exception("not initialised!");
default:
throw memory_exception("not implemented");
}
}
