#ifndef VIENNACL_LINALG_KERNELS_SPAI_SOURCE_HPP_ #define VIENNACL_LINALG_KERNELS_SPAI_SOURCE_HPP_ //Automatically generated file from auxiliary-directory, do not edit manually! namespace viennacl { namespace linalg { namespace kernels { const char * const spai_align1_block_qr = "void dot_prod(__local const float* A, unsigned int n, unsigned int beg_ind, float* res){\n" " *res = 0;\n" " for(unsigned int i = beg_ind; i < n; ++i){\n" " *res += A[(beg_ind-1)*n + i]*A[(beg_ind-1)*n + i];\n" " }\n" "}\n" " \n" "void vector_div(__global float* v, unsigned int beg_ind, float b, unsigned int n){\n" " for(unsigned int i = beg_ind; i < n; ++i){\n" " v[i] /= b;\n" " }\n" "}\n" "void copy_vector(__local const float* A, __global float* v, const unsigned int beg_ind, const unsigned int n){\n" " for(unsigned int i = beg_ind; i < n; ++i){\n" " v[i] = A[(beg_ind-1)*n + i];\n" " }\n" "}\n" " \n" " \n" "void householder_vector(__local const float* A, unsigned int j, unsigned int n, __global float* v, __global float* b){\n" " float sg;\n" " dot_prod(A, n, j+1, &sg); \n" " copy_vector(A, v, j+1, n);\n" " float mu;\n" " v[j] = 1.0;\n" " //print_contigious_vector(v, v_start_ind, n);\n" " if(sg == 0){\n" " *b = 0;\n" " }\n" " else{\n" " mu = sqrt(A[j*n + j]*A[ j*n + j] + sg);\n" " if(A[ j*n + j] <= 0){\n" " v[j] = A[ j*n + j] - mu;\n" " }else{\n" " v[j] = -sg/(A[ j*n + j] + mu);\n" " }\n" " *b = 2*(v[j]*v[j])/(sg + v[j]*v[j]);\n" " //*b = (2*v[j]*v[j])/(sg + (v[j])*(v[j]));\n" " vector_div(v, j, v[j], n);\n" " //print_contigious_vector(v, v_start_ind, n);\n" " }\n" "}\n" "void custom_inner_prod(__local const float* A, __global float* v, unsigned int col_ind, unsigned int row_num, unsigned int start_ind, float* res){\n" " for(unsigned int i = start_ind; i < row_num; ++i){\n" " *res += A[col_ind*row_num + i]*v[i]; \n" " }\n" "}\n" "// \n" "void apply_householder_reflection(__local float* A, unsigned int row_n, unsigned int col_n, unsigned int iter_cnt, __global float* v, float b){\n" " float in_prod_res;\n" " for(unsigned int i= iter_cnt + get_local_id(0); i < col_n; i+=get_local_size(0)){\n" " in_prod_res = 0.0;\n" " custom_inner_prod(A, v, i, row_n, iter_cnt, &in_prod_res);\n" " for(unsigned int j = iter_cnt; j < row_n; ++j){\n" " A[ i*row_n + j] -= b*in_prod_res* v[j];\n" " }\n" " }\n" " \n" "}\n" "void store_householder_vector(__local float* A, unsigned int ind, unsigned int n, __global float* v){\n" " for(unsigned int i = ind; i < n; ++i){\n" " A[ (ind-1)*n + i] = v[i];\n" " }\n" "}\n" "void single_qr( __local float* R, __global unsigned int* matrix_dimensions, __global float* b_v, __global float* v, unsigned int matrix_ind){\n" " //matrix_dimensions[0] - number of rows\n" " //matrix_dimensions[1] - number of columns\n" " unsigned int col_n = matrix_dimensions[2*matrix_ind + 1];\n" " unsigned int row_n = matrix_dimensions[2*matrix_ind];\n" " \n" " if((col_n == row_n)&&(row_n == 1)){\n" " b_v[0] = 0.0;\n" " return;\n" " }\n" " for(unsigned int i = 0; i < col_n; ++i){\n" " if(get_local_id(0) == 0){\n" " householder_vector(R, i, row_n, v, b_v + i);\n" " }\n" " barrier(CLK_LOCAL_MEM_FENCE);\n" " apply_householder_reflection(R, row_n, col_n, i, v, b_v[i]);\n" " barrier(CLK_LOCAL_MEM_FENCE);\n" " if(get_local_id(0) == 0){\n" " if(i < matrix_dimensions[2*matrix_ind]){\n" " store_householder_vector(R, i+1, row_n, v);\n" " }\n" " }\n" " }\n" "}\n" "void matrix_from_global_to_local_qr(__global float* g_M, __local float* l_M, unsigned int row_n, unsigned int col_n, unsigned int mat_start_ind){\n" " for(unsigned int i = get_local_id(0); i < col_n; i+= get_local_size(0)){\n" " for(unsigned int j = 0; j < row_n; ++j){\n" " l_M[i*row_n + j] = g_M[mat_start_ind + i*row_n + j];\n" " }\n" " }\n" "}\n" "void matrix_from_local_to_global_qr(__global float* g_M, __local float* l_M, unsigned int row_n, unsigned int col_n, unsigned int mat_start_ind){\n" " for(unsigned int i = get_local_id(0); i < col_n; i+= get_local_size(0)){\n" " for(unsigned int j = 0; j < row_n; ++j){\n" " g_M[mat_start_ind + i*row_n + j] = l_M[i*row_n + j];\n" " }\n" " }\n" "}\n" "__kernel void block_qr(\n" " __global float* R, \n" " __global unsigned int* matrix_dimensions, \n" " __global float* b_v, \n" " __global float* v, \n" " __global unsigned int* start_matrix_inds, \n" " __global unsigned int* start_bv_inds, \n" " __global unsigned int* start_v_inds,\n" " __global unsigned int * g_is_update, \n" " __local float* local_buff_R,\n" " unsigned int block_elems_num){\n" " for(unsigned int i = get_group_id(0); i < block_elems_num; i += get_num_groups(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " matrix_from_global_to_local_qr(R, local_buff_R, matrix_dimensions[2*i], matrix_dimensions[2*i + 1], start_matrix_inds[i]);\n" " barrier(CLK_LOCAL_MEM_FENCE);\n" " single_qr(local_buff_R, matrix_dimensions, b_v + start_bv_inds[i], v + start_v_inds[i], i);\n" " barrier(CLK_LOCAL_MEM_FENCE);\n" " matrix_from_local_to_global_qr(R, local_buff_R, matrix_dimensions[2*i], matrix_dimensions[2*i + 1], start_matrix_inds[i]);\n" " }\n" " }\n" "}\n" ; //spai_align1_block_qr const char * const spai_align1_block_qr_assembly = "void assemble_upper_part(__global float * R_q,\n" " unsigned int row_n_q, unsigned int col_n_q, __global float * R_u, \n" " unsigned int row_n_u, unsigned int col_n_u,\n" " unsigned int col_n, unsigned int diff){\n" " for(unsigned int i = 0; i < col_n_q; ++i){\n" " for(unsigned int j = 0; j < diff; ++j){\n" " R_q[ i*row_n_q + j] = R_u[ i*row_n_u + j + col_n ];\n" " }\n" " }\n" " }\n" "void assemble_lower_part(__global float * R_q, unsigned int row_n_q, unsigned int col_n_q, __global float * R_u_u, \n" " unsigned int row_n_u_u, unsigned int col_n_u_u, \n" " unsigned int diff){\n" " for(unsigned int i = 0; i < col_n_u_u; ++i){\n" " for(unsigned int j = 0; j < row_n_u_u; ++j){\n" " R_q[i*row_n_q + j + diff] = R_u_u[i*row_n_u_u + j];\n" " }\n" " } \n" "}\n" "void assemble_qr_block(__global float * R_q, unsigned int row_n_q, unsigned int col_n_q, __global float * R_u, unsigned int row_n_u,\n" " unsigned int col_n_u, __global float * R_u_u, unsigned int row_n_u_u, unsigned int col_n_u_u, unsigned int col_n){\n" " unsigned int diff = row_n_u - col_n;\n" " assemble_upper_part(R_q, row_n_q, col_n_q, R_u, row_n_u, col_n_u, col_n, diff);\n" " if(diff > 0){\n" " assemble_lower_part(R_q, row_n_q, col_n_q, R_u_u, row_n_u_u, col_n_u_u, diff);\n" " }\n" "}\n" "__kernel void block_qr_assembly(\n" " __global unsigned int * matrix_dimensions,\n" " __global float * R_u,\n" " __global unsigned int * block_ind_u,\n" " __global unsigned int * matrix_dimensions_u,\n" " __global float * R_u_u,\n" " __global unsigned int * block_ind_u_u,\n" " __global unsigned int * matrix_dimensions_u_u,\n" " __global float * R_q,\n" " __global unsigned int * block_ind_q,\n" " __global unsigned int * matrix_dimensions_q,\n" " __global unsigned int * g_is_update,\n" " //__local float * local_R_q,\n" " unsigned int block_elems_num) \n" "{ \n" " for(unsigned int i = get_global_id(0); i < block_elems_num; i += get_global_size(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " //\n" " assemble_qr_block(R_q + block_ind_q[i], matrix_dimensions_q[2*i], matrix_dimensions_q[2*i + 1], R_u + block_ind_u[i], matrix_dimensions_u[2*i], \n" " matrix_dimensions_u[2*i + 1], R_u_u + block_ind_u_u[i], matrix_dimensions_u_u[2*i], matrix_dimensions_u_u[2*i + 1], matrix_dimensions[2*i + 1]);\n" " }\n" " }\n" "}\n" ; //spai_align1_block_qr_assembly const char * const spai_align1_block_q_mult = "void custom_dot_prod(__global float * A, unsigned int row_n, __local float * v, unsigned int ind, float *res){\n" " *res = 0.0;\n" " for(unsigned int j = ind; j < row_n; ++j){\n" " if(j == ind){\n" " *res += v[j];\n" " }else{\n" " *res += A[j + ind*row_n]*v[j];\n" " }\n" " }\n" " }\n" "void apply_q_trans_vec(__global float * R, unsigned int row_n, unsigned int col_n, __global float * b_v, __local float * y){\n" " float inn_prod = 0;\n" " for(unsigned int i = 0; i < col_n; ++i){\n" " custom_dot_prod(R, row_n, y, i, &inn_prod);\n" " for(unsigned int j = i; j < row_n; ++j){\n" " if(i == j){\n" " y[j] -= b_v[ i]*inn_prod;\n" " }\n" " else{\n" " y[j] -= b_v[ i]*inn_prod*R[ j + i*row_n];\n" " }\n" " }\n" " }\n" " }\n" "void q_mult(__global float * R, unsigned int row_n, unsigned int col_n, __global float * b_v, __local float * R_u, unsigned int col_n_u){\n" " for(unsigned int i = get_local_id(0); i < col_n_u; i+= get_local_size(0)){\n" " apply_q_trans_vec(R, row_n, col_n, b_v, R_u + row_n*i);\n" " } \n" "}\n" "void matrix_from_global_to_local(__global float* g_M, __local float* l_M, unsigned int row_n, unsigned int col_n, unsigned int mat_start_ind){\n" " for(unsigned int i = get_local_id(0); i < col_n; i+= get_local_size(0)){\n" " for(unsigned int j = 0; j < row_n; ++j){\n" " l_M[i*row_n + j] = g_M[mat_start_ind + i*row_n + j];\n" " }\n" " }\n" "}\n" "void matrix_from_local_to_global(__global float* g_M, __local float* l_M, unsigned int row_n, unsigned int col_n, unsigned int mat_start_ind){\n" " for(unsigned int i = get_local_id(0); i < col_n; i+= get_local_size(0)){\n" " for(unsigned int j = 0; j < row_n; ++j){\n" " g_M[mat_start_ind + i*row_n + j] = l_M[i*row_n + j];\n" " }\n" " }\n" "}\n" "__kernel void block_q_mult(__global float * global_R,\n" " __global unsigned int * block_ind,\n" " __global float * global_R_u,\n" " __global unsigned int *block_ind_u,\n" " __global float * b_v,\n" " __global unsigned int * start_bv_inds,\n" " __global unsigned int * matrix_dimensions,\n" " __global unsigned int * matrix_dimensions_u,\n" " __global unsigned int * g_is_update,\n" " __local float * local_R_u,\n" " unsigned int block_elems_num){\n" " for(unsigned int i = get_group_id(0); i < block_elems_num; i += get_num_groups(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && (g_is_update[i] > 0)){\n" " //matrix_from_global_to_local(R, local_buff_R, matrix_dimensions[2*i], matrix_dimensions[2*i + 1], start_matrix_inds[i]);\n" " matrix_from_global_to_local(global_R_u, local_R_u, matrix_dimensions_u[2*i], matrix_dimensions_u[2*i+ 1], block_ind_u[i]);\n" " barrier(CLK_LOCAL_MEM_FENCE);\n" " q_mult(global_R + block_ind[i], matrix_dimensions[2*i], matrix_dimensions[2*i + 1], b_v + start_bv_inds[i], local_R_u, \n" " matrix_dimensions_u[2*i + 1]);\n" " barrier(CLK_LOCAL_MEM_FENCE);\n" " matrix_from_local_to_global(global_R_u, local_R_u, matrix_dimensions_u[2*i], matrix_dimensions_u[2*i + 1], block_ind_u[i]);\n" " }\n" " }\n" "}\n" ; //spai_align1_block_q_mult const char * const spai_align1_block_qr_assembly_1 = "void assemble_upper_part_1(__global float * R_q, unsigned int row_n_q, unsigned int col_n_q, __global float * R_u, \n" " unsigned int row_n_u, unsigned int col_n_u,\n" " unsigned int col_n, unsigned int diff){\n" " for(unsigned int i = 0; i < col_n_q; ++i){\n" " for(unsigned int j = 0; j < diff; ++j){\n" " R_q[ i*row_n_q + j] = R_u[i*row_n_u + j + col_n ];\n" " }\n" " }\n" " }\n" "void assemble_qr_block_1(__global float * R_q, unsigned int row_n_q, unsigned int col_n_q, __global float * R_u, unsigned int row_n_u,\n" " unsigned int col_n_u, unsigned int col_n){\n" " unsigned int diff = row_n_u - col_n;\n" " assemble_upper_part_1(R_q, row_n_q, col_n_q, R_u, row_n_u, col_n_u, col_n, diff);\n" "}\n" "__kernel void block_qr_assembly_1(\n" " __global unsigned int * matrix_dimensions,\n" " __global float * R_u,\n" " __global unsigned int * block_ind_u,\n" " __global unsigned int * matrix_dimensions_u,\n" " __global float * R_q,\n" " __global unsigned int * block_ind_q,\n" " __global unsigned int * matrix_dimensions_q,\n" " __global unsigned int * g_is_update,\n" " //__local float * local_R_q,\n" " unsigned int block_elems_num) \n" "{ \n" " for(unsigned int i = get_global_id(0); i < block_elems_num; i += get_global_size(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " assemble_qr_block_1(R_q + block_ind_q[i], matrix_dimensions_q[2*i], matrix_dimensions_q[2*i + 1], R_u + block_ind_u[i], matrix_dimensions_u[2*i], \n" " matrix_dimensions_u[2*i + 1], matrix_dimensions[2*i + 1]);\n" " }\n" " }\n" "}\n" ; //spai_align1_block_qr_assembly_1 const char * const spai_align1_block_bv_assembly = "void assemble_bv(__global float * g_bv_r, __global float * g_bv, unsigned int col_n){\n" " for(unsigned int i = 0; i < col_n; ++i){\n" " g_bv_r[i] = g_bv[ i];\n" " }\n" "}\n" "void assemble_bv_block(__global float * g_bv_r, __global float * g_bv, unsigned int col_n,\n" " __global float * g_bv_u, unsigned int col_n_u)\n" "{\n" " assemble_bv(g_bv_r, g_bv, col_n);\n" " assemble_bv(g_bv_r + col_n, g_bv_u, col_n_u);\n" " \n" "}\n" "__kernel void block_bv_assembly(__global float * g_bv,\n" " __global unsigned int * start_bv_ind,\n" " __global unsigned int * matrix_dimensions,\n" " __global float * g_bv_u,\n" " __global unsigned int * start_bv_u_ind,\n" " __global unsigned int * matrix_dimensions_u,\n" " __global float * g_bv_r,\n" " __global unsigned int * start_bv_r_ind,\n" " __global unsigned int * matrix_dimensions_r,\n" " __global unsigned int * g_is_update,\n" " //__local float * local_gb,\n" " unsigned int block_elems_num)\n" "{ \n" " for(unsigned int i = get_global_id(0); i < block_elems_num; i += get_global_size(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " assemble_bv_block(g_bv_r + start_bv_r_ind[i], g_bv + start_bv_ind[i], matrix_dimensions[2*i + 1], g_bv_u + start_bv_u_ind[i], matrix_dimensions_u[2*i + 1]);\n" " }\n" " }\n" "}\n" ; //spai_align1_block_bv_assembly const char * const spai_align1_block_r_assembly = "void assemble_r(__global float * gR, unsigned int row_n_r, unsigned int col_n_r, __global float * R, \n" " unsigned int row_n, unsigned int col_n)\n" "{\n" " for(unsigned int i = 0; i < col_n; ++i){\n" " for(unsigned int j = 0; j < row_n; ++j){\n" " gR[i*row_n_r + j] = R[i*row_n + j ];\n" " }\n" " }\n" "}\n" "void assemble_r_u(__global float * gR,\n" " unsigned int row_n_r, unsigned int col_n_r, __global float * R_u, unsigned int row_n_u, unsigned int col_n_u, \n" " unsigned int col_n)\n" "{\n" " for(unsigned int i = 0; i < col_n_u; ++i){\n" " for(unsigned int j = 0; j < col_n; ++j){\n" " gR[ (i+col_n)*row_n_r + j] = R_u[ i*row_n_u + j];\n" " }\n" " } \n" "}\n" "void assemble_r_u_u(__global float * gR, unsigned int row_n_r, unsigned int col_n_r, __global float * R_u_u, unsigned int row_n_u_u, \n" " unsigned int col_n_u_u, unsigned int col_n)\n" "{\n" " for(unsigned int i = 0; i < col_n_u_u; ++i){\n" " for(unsigned int j = 0; j < row_n_u_u; ++j){\n" " gR[(col_n+i)*row_n_r + j + col_n] = R_u_u[i*row_n_u_u + j];\n" " }\n" " } \n" "}\n" "void assemble_r_block(__global float * gR, unsigned int row_n_r, unsigned int col_n_r, __global float * R, unsigned int row_n, \n" " unsigned int col_n, __global float * R_u, unsigned int row_n_u, unsigned int col_n_u, __global float * R_u_u, \n" " unsigned int row_n_u_u, unsigned int col_n_u_u){\n" " assemble_r(gR, row_n_r, col_n_r, R, row_n, col_n); \n" " assemble_r_u(gR, row_n_r, col_n_r, R_u, row_n_u, col_n_u, col_n);\n" " assemble_r_u_u(gR, row_n_r, col_n_r, R_u_u, row_n_u_u, col_n_u_u, col_n);\n" "}\n" "__kernel void block_r_assembly(\n" " __global float * R,\n" " __global unsigned int * block_ind,\n" " __global unsigned int * matrix_dimensions,\n" " __global float * R_u,\n" " __global unsigned int * block_ind_u,\n" " __global unsigned int * matrix_dimensions_u,\n" " __global float * R_u_u,\n" " __global unsigned int * block_ind_u_u,\n" " __global unsigned int * matrix_dimensions_u_u,\n" " __global float * g_R,\n" " __global unsigned int * block_ind_r,\n" " __global unsigned int * matrix_dimensions_r,\n" " __global unsigned int * g_is_update,\n" " //__local float * local_gR,\n" " unsigned int block_elems_num) \n" "{ \n" " for(unsigned int i = get_global_id(0); i < block_elems_num; i += get_global_size(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " \n" " assemble_r_block(g_R + block_ind_r[i], matrix_dimensions_r[2*i], matrix_dimensions_r[2*i + 1], R + block_ind[i], matrix_dimensions[2*i], \n" " matrix_dimensions[2*i + 1], R_u + block_ind_u[i], matrix_dimensions_u[2*i], matrix_dimensions_u[2*i + 1],\n" " R_u_u + block_ind_u_u[i], matrix_dimensions_u_u[2*i], matrix_dimensions_u_u[2*i + 1]);\n" " \n" " }\n" " }\n" "}\n" ; //spai_align1_block_r_assembly const char * const spai_align1_assemble_blocks = "float get_element(__global const unsigned int * row_indices,\n" " __global const unsigned int * column_indices,\n" " __global const float * elements,\n" " unsigned int row,\n" " unsigned int col\n" " )\n" "{\n" " unsigned int row_end = row_indices[row+1];\n" " for(unsigned int i = row_indices[row]; i < row_end; ++i){\n" " if(column_indices[i] == col)\n" " return elements[i];\n" " if(column_indices[i] > col)\n" " return 0.0;\n" " }\n" " return 0.0; \n" "}\n" "void block_assembly(__global const unsigned int * row_indices,\n" " __global const unsigned int * column_indices, \n" " __global const float * elements,\n" " __global const unsigned int * matrix_dimensions,\n" " __global const unsigned int * set_I,\n" " __global const unsigned int * set_J, \n" " unsigned int matrix_ind,\n" " __global float * com_A_I_J)\n" "{\n" " unsigned int row_n = matrix_dimensions[2*matrix_ind];\n" " unsigned int col_n = matrix_dimensions[2*matrix_ind + 1];\n" " \n" " for(unsigned int i = 0; i < col_n; ++i){\n" " //start row index\n" " for(unsigned int j = 0; j < row_n; j++){\n" " com_A_I_J[ i*row_n + j] = get_element(row_indices, column_indices, elements, set_I[j], set_J[i]);\n" " }\n" " }\n" " \n" "}\n" "__kernel void assemble_blocks(\n" " __global const unsigned int * row_indices,\n" " __global const unsigned int * column_indices, \n" " __global const float * elements,\n" " __global const unsigned int * set_I,\n" " __global const unsigned int * set_J,\n" " __global const unsigned int * i_ind,\n" " __global const unsigned int * j_ind,\n" " __global const unsigned int * block_ind,\n" " __global const unsigned int * matrix_dimensions,\n" " __global float * com_A_I_J,\n" " __global unsigned int * g_is_update,\n" " unsigned int block_elems_num) \n" "{ \n" " for(unsigned int i = get_global_id(0); i < block_elems_num; i += get_global_size(0)){\n" " if((matrix_dimensions[2*i] > 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " \n" " block_assembly(row_indices, column_indices, elements, matrix_dimensions, set_I + i_ind[i], set_J + j_ind[i], i, com_A_I_J + block_ind[i]);\n" " }\n" " }\n" "}\n" ; //spai_align1_assemble_blocks const char * const spai_align1_block_least_squares = "void custom_dot_prod_ls(__global float * A, unsigned int row_n, __global float * v, unsigned int ind, float *res){\n" " *res = 0.0;\n" " for(unsigned int j = ind; j < row_n; ++j){\n" " if(j == ind){\n" " *res += v[ j];\n" " }else{\n" " *res += A[ j + ind*row_n]*v[ j];\n" " }\n" " }\n" " }\n" "void backwardSolve(__global float * R, unsigned int row_n, unsigned int col_n, __global float * y, __global float * x){\n" " for (int i = col_n-1; i >= 0 ; i--) {\n" " x[ i] = y[ i];\n" " for (int j = i+1; j < col_n; ++j) {\n" " x[ i] -= R[ i + j*row_n]*x[ j];\n" " }\n" " x[i] /= R[ i + i*row_n];\n" " }\n" " \n" "}\n" " \n" "void apply_q_trans_vec_ls(__global float * R, unsigned int row_n, unsigned int col_n, __global const float * b_v, __global float * y){\n" " float inn_prod = 0;\n" " for(unsigned int i = 0; i < col_n; ++i){\n" " custom_dot_prod_ls(R, row_n, y, i, &inn_prod);\n" " for(unsigned int j = i; j < row_n; ++j){\n" " if(i == j){\n" " y[ j] -= b_v[ i]*inn_prod;\n" " }\n" " else{\n" " y[j] -= b_v[ i]*inn_prod*R[ j +i*row_n];\n" " }\n" " }\n" " //std::cout< 0) && (matrix_dimensions[2*i + 1] > 0) && g_is_update[i] > 0){\n" " \n" " ls(global_R + block_ind[i], matrix_dimensions[2*i], matrix_dimensions[2*i + 1], b_v +start_bv_inds[i], m_v + start_bv_inds[i], y_v + start_y_inds[i] );\n" " \n" " }\n" " }\n" "}\n" ; //spai_align1_block_least_squares } //namespace kernels } //namespace linalg } //namespace viennacl #endif