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https://github.com/ceres-solver/ceres-solver.git
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0cea191d40
Change-Id: Ief116e4e77c7579612b99cf552f3d8fc54c1d42a
114 lines
5.1 KiB
C++
114 lines
5.1 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2023 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Authors: dmitriy.korchemkin@gmail.com (Dmitriy Korchemkin)
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#ifndef CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_
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#define CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_
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#include "ceres/internal/config.h"
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#ifndef CERES_NO_CUDA
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#include "cuda_runtime.h"
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namespace ceres {
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namespace internal {
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struct Block;
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struct Cell;
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// Compute structure of CRS matrix using block-sparse structure.
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// Arrays corresponding to CRS matrix are to be allocated by caller
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void FillCRSStructure(const int num_row_blocks,
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const int num_rows,
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const int* first_cell_in_row_block,
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const Cell* cells,
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const Block* row_blocks,
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const Block* col_blocks,
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int* rows,
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int* cols,
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cudaStream_t stream,
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bool memory_pools_supported);
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// Compute structure of partitioned CRS matrix using block-sparse structure.
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// Arrays corresponding to CRS matrices are to be allocated by caller
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void FillCRSStructurePartitioned(const int num_row_blocks,
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const int num_rows,
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const int num_row_blocks_e,
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const int num_col_blocks_e,
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const int num_nonzeros_e,
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const int* first_cell_in_row_block,
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const Cell* cells,
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const Block* row_blocks,
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const Block* col_blocks,
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int* rows_e,
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int* cols_e,
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int* rows_f,
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int* cols_f,
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cudaStream_t stream,
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bool memory_pools_supported);
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// Permute segment of values from block-sparse matrix with sequential layout to
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// CRS order. Segment starts at block_sparse_offset and has length of num_values
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void PermuteToCRS(const int block_sparse_offset,
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const int num_values,
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const int num_row_blocks,
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const int* first_cell_in_row_block,
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const Cell* cells,
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const Block* row_blocks,
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const Block* col_blocks,
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const int* crs_rows,
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const double* block_sparse_values,
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double* crs_values,
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cudaStream_t stream);
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// Permute segment of values from F sub-matrix of block-sparse partitioned
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// matrix with sequential layout to CRS order. Segment starts at
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// block_sparse_offset (including the offset induced by values of E submatrix)
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// and has length of num_values
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void PermuteToCRSPartitionedF(const int block_sparse_offset,
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const int num_values,
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const int num_row_blocks,
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const int num_row_blocks_e,
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const int* first_cell_in_row_block,
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const int* value_offset_row_block_f,
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const Cell* cells,
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const Block* row_blocks,
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const Block* col_blocks,
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const int* crs_rows,
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const double* block_sparse_values,
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double* crs_values,
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cudaStream_t stream);
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} // namespace internal
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} // namespace ceres
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#endif // CERES_NO_CUDA
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#endif // CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_
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