| // 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; |
| class ContextImpl; |
| |
| // 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, |
| ContextImpl* context); |
| |
| // 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, |
| ContextImpl* context); |
| |
| // 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_ |