1// Ceres Solver - A fast non-linear least squares minimizer 2// Copyright 2013 Google Inc. All rights reserved. 3// http://code.google.com/p/ceres-solver/ 4// 5// Redistribution and use in source and binary forms, with or without 6// modification, are permitted provided that the following conditions are met: 7// 8// * Redistributions of source code must retain the above copyright notice, 9// this list of conditions and the following disclaimer. 10// * Redistributions in binary form must reproduce the above copyright notice, 11// this list of conditions and the following disclaimer in the documentation 12// and/or other materials provided with the distribution. 13// * Neither the name of Google Inc. nor the names of its contributors may be 14// used to endorse or promote products derived from this software without 15// specific prior written permission. 16// 17// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 18// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 19// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 20// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 21// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 22// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 23// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 24// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 25// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 26// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 27// POSSIBILITY OF SUCH DAMAGE. 28// 29// Author: sameeragarwal@google.com (Sameer Agarwal) 30// 31// Template specialization of PartitionedMatrixView. 32// 33// ======================================== 34// THIS FILE IS AUTOGENERATED. DO NOT EDIT. 35// THIS FILE IS AUTOGENERATED. DO NOT EDIT. 36// THIS FILE IS AUTOGENERATED. DO NOT EDIT. 37// THIS FILE IS AUTOGENERATED. DO NOT EDIT. 38//========================================= 39// 40// This file is generated using generate_partitioned_matrix_view_specializations.py. 41// Editing it manually is not recommended. 42 43#include "ceres/linear_solver.h" 44#include "ceres/partitioned_matrix_view.h" 45#include "ceres/internal/eigen.h" 46 47namespace ceres { 48namespace internal { 49 50PartitionedMatrixViewBase* 51PartitionedMatrixViewBase::Create(const LinearSolver::Options& options, 52 const BlockSparseMatrix& matrix) { 53#ifndef CERES_RESTRICT_SCHUR_SPECIALIZATION 54 if ((options.row_block_size == 2) && 55 (options.e_block_size == 2) && 56 (options.f_block_size == 2)) { 57 return new PartitionedMatrixView<2, 2, 2>( 58 matrix, options.elimination_groups[0]); 59 } 60 if ((options.row_block_size == 2) && 61 (options.e_block_size == 2) && 62 (options.f_block_size == 3)) { 63 return new PartitionedMatrixView<2, 2, 3>( 64 matrix, options.elimination_groups[0]); 65 } 66 if ((options.row_block_size == 2) && 67 (options.e_block_size == 2) && 68 (options.f_block_size == 4)) { 69 return new PartitionedMatrixView<2, 2, 4>( 70 matrix, options.elimination_groups[0]); 71 } 72 if ((options.row_block_size == 2) && 73 (options.e_block_size == 2) && 74 (options.f_block_size == Eigen::Dynamic)) { 75 return new PartitionedMatrixView<2, 2, Eigen::Dynamic>( 76 matrix, options.elimination_groups[0]); 77 } 78 if ((options.row_block_size == 2) && 79 (options.e_block_size == 3) && 80 (options.f_block_size == 3)) { 81 return new PartitionedMatrixView<2, 3, 3>( 82 matrix, options.elimination_groups[0]); 83 } 84 if ((options.row_block_size == 2) && 85 (options.e_block_size == 3) && 86 (options.f_block_size == 4)) { 87 return new PartitionedMatrixView<2, 3, 4>( 88 matrix, options.elimination_groups[0]); 89 } 90 if ((options.row_block_size == 2) && 91 (options.e_block_size == 3) && 92 (options.f_block_size == 9)) { 93 return new PartitionedMatrixView<2, 3, 9>( 94 matrix, options.elimination_groups[0]); 95 } 96 if ((options.row_block_size == 2) && 97 (options.e_block_size == 3) && 98 (options.f_block_size == Eigen::Dynamic)) { 99 return new PartitionedMatrixView<2, 3, Eigen::Dynamic>( 100 matrix, options.elimination_groups[0]); 101 } 102 if ((options.row_block_size == 2) && 103 (options.e_block_size == 4) && 104 (options.f_block_size == 3)) { 105 return new PartitionedMatrixView<2, 4, 3>( 106 matrix, options.elimination_groups[0]); 107 } 108 if ((options.row_block_size == 2) && 109 (options.e_block_size == 4) && 110 (options.f_block_size == 4)) { 111 return new PartitionedMatrixView<2, 4, 4>( 112 matrix, options.elimination_groups[0]); 113 } 114 if ((options.row_block_size == 2) && 115 (options.e_block_size == 4) && 116 (options.f_block_size == 8)) { 117 return new PartitionedMatrixView<2, 4, 8>( 118 matrix, options.elimination_groups[0]); 119 } 120 if ((options.row_block_size == 2) && 121 (options.e_block_size == 4) && 122 (options.f_block_size == 9)) { 123 return new PartitionedMatrixView<2, 4, 9>( 124 matrix, options.elimination_groups[0]); 125 } 126 if ((options.row_block_size == 2) && 127 (options.e_block_size == 4) && 128 (options.f_block_size == Eigen::Dynamic)) { 129 return new PartitionedMatrixView<2, 4, Eigen::Dynamic>( 130 matrix, options.elimination_groups[0]); 131 } 132 if ((options.row_block_size == 2) && 133 (options.e_block_size == Eigen::Dynamic) && 134 (options.f_block_size == Eigen::Dynamic)) { 135 return new PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>( 136 matrix, options.elimination_groups[0]); 137 } 138 if ((options.row_block_size == 4) && 139 (options.e_block_size == 4) && 140 (options.f_block_size == 2)) { 141 return new PartitionedMatrixView<4, 4, 2>( 142 matrix, options.elimination_groups[0]); 143 } 144 if ((options.row_block_size == 4) && 145 (options.e_block_size == 4) && 146 (options.f_block_size == 3)) { 147 return new PartitionedMatrixView<4, 4, 3>( 148 matrix, options.elimination_groups[0]); 149 } 150 if ((options.row_block_size == 4) && 151 (options.e_block_size == 4) && 152 (options.f_block_size == 4)) { 153 return new PartitionedMatrixView<4, 4, 4>( 154 matrix, options.elimination_groups[0]); 155 } 156 if ((options.row_block_size == 4) && 157 (options.e_block_size == 4) && 158 (options.f_block_size == Eigen::Dynamic)) { 159 return new PartitionedMatrixView<4, 4, Eigen::Dynamic>( 160 matrix, options.elimination_groups[0]); 161 } 162 if ((options.row_block_size == Eigen::Dynamic) && 163 (options.e_block_size == Eigen::Dynamic) && 164 (options.f_block_size == Eigen::Dynamic)) { 165 return new PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>( 166 matrix, options.elimination_groups[0]); 167 } 168 169#endif 170 VLOG(1) << "Template specializations not found for <" 171 << options.row_block_size << "," 172 << options.e_block_size << "," 173 << options.f_block_size << ">"; 174 return new PartitionedMatrixView<Eigen::Dynamic, Eigen::Dynamic, Eigen::Dynamic>( 175 matrix, options.elimination_groups[0]); 176}; 177 178} // namespace internal 179} // namespace ceres 180