1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2010, 2011, 2012 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 #include <algorithm>
32 #include <cctype>
33 #include <string>
34 #include "ceres/types.h"
35 #include "glog/logging.h"
36
37 namespace ceres {
38
39 #define CASESTR(x) case x: return #x
40
41 #define STRENUM(x) if (value == #x) { *type = x; return true;}
42
UpperCase(string * input)43 void UpperCase(string* input) {
44 std::transform(input->begin(), input->end(), input->begin(), ::toupper);
45 }
46
LinearSolverTypeToString(LinearSolverType solver_type)47 const char* LinearSolverTypeToString(LinearSolverType solver_type) {
48 switch (solver_type) {
49 CASESTR(DENSE_NORMAL_CHOLESKY);
50 CASESTR(DENSE_QR);
51 CASESTR(SPARSE_NORMAL_CHOLESKY);
52 CASESTR(DENSE_SCHUR);
53 CASESTR(SPARSE_SCHUR);
54 CASESTR(ITERATIVE_SCHUR);
55 CASESTR(CGNR);
56 default:
57 return "UNKNOWN";
58 }
59 }
60
StringToLinearSolverType(string value,LinearSolverType * type)61 bool StringToLinearSolverType(string value, LinearSolverType* type) {
62 UpperCase(&value);
63 STRENUM(DENSE_NORMAL_CHOLESKY);
64 STRENUM(DENSE_QR);
65 STRENUM(SPARSE_NORMAL_CHOLESKY);
66 STRENUM(DENSE_SCHUR);
67 STRENUM(SPARSE_SCHUR);
68 STRENUM(ITERATIVE_SCHUR);
69 STRENUM(CGNR);
70 return false;
71 }
72
PreconditionerTypeToString(PreconditionerType preconditioner_type)73 const char* PreconditionerTypeToString(
74 PreconditionerType preconditioner_type) {
75 switch (preconditioner_type) {
76 CASESTR(IDENTITY);
77 CASESTR(JACOBI);
78 CASESTR(SCHUR_JACOBI);
79 CASESTR(CLUSTER_JACOBI);
80 CASESTR(CLUSTER_TRIDIAGONAL);
81 default:
82 return "UNKNOWN";
83 }
84 }
85
StringToPreconditionerType(string value,PreconditionerType * type)86 bool StringToPreconditionerType(string value, PreconditionerType* type) {
87 UpperCase(&value);
88 STRENUM(IDENTITY);
89 STRENUM(JACOBI);
90 STRENUM(SCHUR_JACOBI);
91 STRENUM(CLUSTER_JACOBI);
92 STRENUM(CLUSTER_TRIDIAGONAL);
93 return false;
94 }
95
SparseLinearAlgebraLibraryTypeToString(SparseLinearAlgebraLibraryType sparse_linear_algebra_library_type)96 const char* SparseLinearAlgebraLibraryTypeToString(
97 SparseLinearAlgebraLibraryType sparse_linear_algebra_library_type) {
98 switch (sparse_linear_algebra_library_type) {
99 CASESTR(SUITE_SPARSE);
100 CASESTR(CX_SPARSE);
101 default:
102 return "UNKNOWN";
103 }
104 }
105
106
StringToSparseLinearAlgebraLibraryType(string value,SparseLinearAlgebraLibraryType * type)107 bool StringToSparseLinearAlgebraLibraryType(
108 string value,
109 SparseLinearAlgebraLibraryType* type) {
110 UpperCase(&value);
111 STRENUM(SUITE_SPARSE);
112 STRENUM(CX_SPARSE);
113 return false;
114 }
115
TrustRegionStrategyTypeToString(TrustRegionStrategyType trust_region_strategy_type)116 const char* TrustRegionStrategyTypeToString(
117 TrustRegionStrategyType trust_region_strategy_type) {
118 switch (trust_region_strategy_type) {
119 CASESTR(LEVENBERG_MARQUARDT);
120 CASESTR(DOGLEG);
121 default:
122 return "UNKNOWN";
123 }
124 }
125
StringToTrustRegionStrategyType(string value,TrustRegionStrategyType * type)126 bool StringToTrustRegionStrategyType(string value,
127 TrustRegionStrategyType* type) {
128 UpperCase(&value);
129 STRENUM(LEVENBERG_MARQUARDT);
130 STRENUM(DOGLEG);
131 return false;
132 }
133
DoglegTypeToString(DoglegType dogleg_type)134 const char* DoglegTypeToString(DoglegType dogleg_type) {
135 switch (dogleg_type) {
136 CASESTR(TRADITIONAL_DOGLEG);
137 CASESTR(SUBSPACE_DOGLEG);
138 default:
139 return "UNKNOWN";
140 }
141 }
142
StringToDoglegType(string value,DoglegType * type)143 bool StringToDoglegType(string value, DoglegType* type) {
144 UpperCase(&value);
145 STRENUM(TRADITIONAL_DOGLEG);
146 STRENUM(SUBSPACE_DOGLEG);
147 return false;
148 }
149
SolverTerminationTypeToString(SolverTerminationType termination_type)150 const char* SolverTerminationTypeToString(
151 SolverTerminationType termination_type) {
152 switch (termination_type) {
153 CASESTR(NO_CONVERGENCE);
154 CASESTR(FUNCTION_TOLERANCE);
155 CASESTR(GRADIENT_TOLERANCE);
156 CASESTR(PARAMETER_TOLERANCE);
157 CASESTR(NUMERICAL_FAILURE);
158 CASESTR(USER_ABORT);
159 CASESTR(USER_SUCCESS);
160 CASESTR(DID_NOT_RUN);
161 default:
162 return "UNKNOWN";
163 }
164 }
165
LinearSolverTerminationTypeToString(LinearSolverTerminationType termination_type)166 const char* LinearSolverTerminationTypeToString(
167 LinearSolverTerminationType termination_type) {
168 switch (termination_type) {
169 CASESTR(TOLERANCE);
170 CASESTR(MAX_ITERATIONS);
171 CASESTR(STAGNATION);
172 CASESTR(FAILURE);
173 default:
174 return "UNKNOWN";
175 }
176 }
177
178 #undef CASESTR
179 #undef STRENUM
180
IsSchurType(LinearSolverType type)181 bool IsSchurType(LinearSolverType type) {
182 return ((type == SPARSE_SCHUR) ||
183 (type == DENSE_SCHUR) ||
184 (type == ITERATIVE_SCHUR));
185 }
186
IsSparseLinearAlgebraLibraryTypeAvailable(SparseLinearAlgebraLibraryType type)187 bool IsSparseLinearAlgebraLibraryTypeAvailable(
188 SparseLinearAlgebraLibraryType type) {
189 if (type == SUITE_SPARSE) {
190 #ifdef CERES_NO_SUITESPARSE
191 return false;
192 #else
193 return true;
194 #endif
195 }
196
197 if (type == CX_SPARSE) {
198 #ifdef CERES_NO_CXSPARSE
199 return false;
200 #else
201 return true;
202 #endif
203 }
204
205 LOG(WARNING) << "Unknown sparse linear algebra library " << type;
206 return false;
207 }
208
209 } // namespace ceres
210