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- // 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_
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