// 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.
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//   used to endorse or promote products derived from this software without
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// 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 {
class Block;
class 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);

// 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);

}  // namespace internal
}  // namespace ceres

#endif  // CERES_NO_CUDA

#endif  // CERES_INTERNAL_CUDA_KERNELS_BSM_TO_CRS_H_