|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2023 Google Inc. All rights reserved. | 
|  | // http://ceres-solver.org/ | 
|  | // | 
|  | // Redistribution and use in source and binary forms, with or without | 
|  | // modification, are permitted provided that the following conditions are met: | 
|  | // | 
|  | // * Redistributions of source code must retain the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer. | 
|  | // * Redistributions in binary form must reproduce the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer in the documentation | 
|  | //   and/or other materials provided with the distribution. | 
|  | // * Neither the name of Google Inc. nor the names of its contributors may be | 
|  | //   used to endorse or promote products derived from this software without | 
|  | //   specific prior written permission. | 
|  | // | 
|  | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
|  | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
|  | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
|  | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
|  | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | 
|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
|  | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
|  | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
|  | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
|  | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
|  | // POSSIBILITY OF SUCH DAMAGE. | 
|  | // | 
|  | // Authors: dmitriy.korchemkin@gmail.com (Dmitriy Korchemkin) | 
|  |  | 
|  | #ifndef CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_ | 
|  | #define CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_ | 
|  |  | 
|  | #include "ceres/internal/config.h" | 
|  |  | 
|  | #ifndef CERES_NO_CUDA | 
|  |  | 
|  | #include "cuda_runtime.h" | 
|  |  | 
|  | namespace ceres { | 
|  | namespace internal { | 
|  | struct Block; | 
|  | struct Cell; | 
|  |  | 
|  | // Compute structure of CRS matrix using block-sparse structure. | 
|  | // Arrays corresponding to CRS matrix are to be allocated by caller | 
|  | void FillCRSStructure(const int num_row_blocks, | 
|  | const int num_rows, | 
|  | const int* first_cell_in_row_block, | 
|  | const Cell* cells, | 
|  | const Block* row_blocks, | 
|  | const Block* col_blocks, | 
|  | int* rows, | 
|  | int* cols, | 
|  | cudaStream_t stream, | 
|  | bool memory_pools_supported); | 
|  |  | 
|  | // Compute structure of partitioned CRS matrix using block-sparse structure. | 
|  | // Arrays corresponding to CRS matrices are to be allocated by caller | 
|  | void FillCRSStructurePartitioned(const int num_row_blocks, | 
|  | const int num_rows, | 
|  | const int num_row_blocks_e, | 
|  | const int num_col_blocks_e, | 
|  | const int num_nonzeros_e, | 
|  | const int* first_cell_in_row_block, | 
|  | const Cell* cells, | 
|  | const Block* row_blocks, | 
|  | const Block* col_blocks, | 
|  | int* rows_e, | 
|  | int* cols_e, | 
|  | int* rows_f, | 
|  | int* cols_f, | 
|  | cudaStream_t stream, | 
|  | bool memory_pools_supported); | 
|  |  | 
|  | // Permute segment of values from block-sparse matrix with sequential layout to | 
|  | // CRS order. Segment starts at block_sparse_offset and has length of num_values | 
|  | void PermuteToCRS(const int block_sparse_offset, | 
|  | const int num_values, | 
|  | const int num_row_blocks, | 
|  | const int* first_cell_in_row_block, | 
|  | const Cell* cells, | 
|  | const Block* row_blocks, | 
|  | const Block* col_blocks, | 
|  | const int* crs_rows, | 
|  | const double* block_sparse_values, | 
|  | double* crs_values, | 
|  | cudaStream_t stream); | 
|  |  | 
|  | // Permute segment of values from F sub-matrix of block-sparse partitioned | 
|  | // matrix with sequential layout to CRS order. Segment starts at | 
|  | // block_sparse_offset (including the offset induced by values of E submatrix) | 
|  | // and has length of num_values | 
|  | void PermuteToCRSPartitionedF(const int block_sparse_offset, | 
|  | const int num_values, | 
|  | const int num_row_blocks, | 
|  | const int num_row_blocks_e, | 
|  | const int* first_cell_in_row_block, | 
|  | const int* value_offset_row_block_f, | 
|  | const Cell* cells, | 
|  | const Block* row_blocks, | 
|  | const Block* col_blocks, | 
|  | const int* crs_rows, | 
|  | const double* block_sparse_values, | 
|  | double* crs_values, | 
|  | cudaStream_t stream); | 
|  |  | 
|  | }  // namespace internal | 
|  | }  // namespace ceres | 
|  |  | 
|  | #endif  // CERES_NO_CUDA | 
|  |  | 
|  | #endif  // CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_ |