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 //
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6 // modification, are permitted provided that the following conditions are met:
7 //
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9 // this list of conditions and the following disclaimer.
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11 // this list of conditions and the following disclaimer in the documentation
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16 //
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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
47 namespace ceres {
48 namespace internal {
49
50 PartitionedMatrixViewBase*
Create(const LinearSolver::Options & options,const BlockSparseMatrix & matrix)51 PartitionedMatrixViewBase::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