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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2017 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
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// modification, are permitted provided that the following conditions are met:
//
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// this list of conditions and the following disclaimer.
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// this list of conditions and the following disclaimer in the documentation
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// used to endorse or promote products derived from this software without
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//
// Author: sameeragarwal@google.com (Sameer Agarwal)
//
// Template specialization of PartitionedMatrixView.
//
// ========================================
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
//=========================================
//
// This file is generated using generate_template_specializations.py.
#include <memory>
#include "ceres/linear_solver.h"
#include "ceres/partitioned_matrix_view.h"
namespace ceres::internal {
PartitionedMatrixViewBase::~PartitionedMatrixViewBase() = default;
std::unique_ptr<PartitionedMatrixViewBase> PartitionedMatrixViewBase::Create(
const LinearSolver::Options& options, const BlockSparseMatrix& matrix) {
#ifndef CERES_RESTRICT_SCHUR_SPECIALIZATION
if ((options.row_block_size == 2) &&
(options.e_block_size == 2) &&
(options.f_block_size == 2)) {
return std::make_unique<PartitionedMatrixView<2,2, 2>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 2) &&
(options.f_block_size == 3)) {
return std::make_unique<PartitionedMatrixView<2,2, 3>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 2) &&
(options.f_block_size == 4)) {
return std::make_unique<PartitionedMatrixView<2,2, 4>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 2)) {
return std::make_unique<PartitionedMatrixView<2,2, Eigen::Dynamic>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 3) &&
(options.f_block_size == 3)) {
return std::make_unique<PartitionedMatrixView<2,3, 3>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 3) &&
(options.f_block_size == 4)) {
return std::make_unique<PartitionedMatrixView<2,3, 4>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 3) &&
(options.f_block_size == 6)) {
return std::make_unique<PartitionedMatrixView<2,3, 6>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 3) &&
(options.f_block_size == 9)) {
return std::make_unique<PartitionedMatrixView<2,3, 9>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 3)) {
return std::make_unique<PartitionedMatrixView<2,3, Eigen::Dynamic>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 4) &&
(options.f_block_size == 3)) {
return std::make_unique<PartitionedMatrixView<2,4, 3>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 4) &&
(options.f_block_size == 4)) {
return std::make_unique<PartitionedMatrixView<2,4, 4>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 4) &&
(options.f_block_size == 6)) {
return std::make_unique<PartitionedMatrixView<2,4, 6>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 4) &&
(options.f_block_size == 8)) {
return std::make_unique<PartitionedMatrixView<2,4, 8>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 4) &&
(options.f_block_size == 9)) {
return std::make_unique<PartitionedMatrixView<2,4, 9>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 2) &&
(options.e_block_size == 4)) {
return std::make_unique<PartitionedMatrixView<2,4, Eigen::Dynamic>>(
matrix, options.elimination_groups[0]);
}
if (options.row_block_size == 2) {
return std::make_unique<PartitionedMatrixView<2,Eigen::Dynamic, Eigen::Dynamic>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 3) &&
(options.e_block_size == 3) &&
(options.f_block_size == 3)) {
return std::make_unique<PartitionedMatrixView<3,3, 3>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 4) &&
(options.e_block_size == 4) &&
(options.f_block_size == 2)) {
return std::make_unique<PartitionedMatrixView<4,4, 2>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 4) &&
(options.e_block_size == 4) &&
(options.f_block_size == 3)) {
return std::make_unique<PartitionedMatrixView<4,4, 3>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 4) &&
(options.e_block_size == 4) &&
(options.f_block_size == 4)) {
return std::make_unique<PartitionedMatrixView<4,4, 4>>(
matrix, options.elimination_groups[0]);
}
if ((options.row_block_size == 4) &&
(options.e_block_size == 4)) {
return std::make_unique<PartitionedMatrixView<4,4, Eigen::Dynamic>>(
matrix, options.elimination_groups[0]);
}
#endif
VLOG(1) << "Template specializations not found for <"
<< options.row_block_size << "," << options.e_block_size << ","
<< options.f_block_size << ">";
return std::make_unique<PartitionedMatrixView<Eigen::Dynamic,
Eigen::Dynamic,
Eigen::Dynamic>>(
matrix, options.elimination_groups[0]);
};
} // namespace ceres::internal