Imported Upstream version ceres 1.13.0
[platform/upstream/ceres-solver.git] / internal / ceres / c_api.cc
1 // Ceres Solver - A fast non-linear least squares minimizer
2 // Copyright 2015 Google Inc. All rights reserved.
3 // http://ceres-solver.org/
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: mierle@gmail.com (Keir Mierle)
30 //
31 // An incomplete C API for Ceres.
32 //
33 // TODO(keir): Figure out why logging does not seem to work.
34
35 #include "ceres/c_api.h"
36
37 #include <vector>
38 #include <iostream>
39 #include <string>
40 #include "ceres/cost_function.h"
41 #include "ceres/loss_function.h"
42 #include "ceres/problem.h"
43 #include "ceres/solver.h"
44 #include "ceres/types.h"  // for std
45 #include "glog/logging.h"
46
47 using ceres::Problem;
48
49 void ceres_init() {
50   // This is not ideal, but it's not clear what to do if there is no gflags and
51   // no access to command line arguments.
52   char message[] = "<unknown>";
53   google::InitGoogleLogging(message);
54 }
55
56 ceres_problem_t* ceres_create_problem() {
57   return reinterpret_cast<ceres_problem_t*>(new Problem);
58 }
59
60 void ceres_free_problem(ceres_problem_t* problem) {
61   delete reinterpret_cast<Problem*>(problem);
62 }
63
64 // This cost function wraps a C-level function pointer from the user, to bridge
65 // between C and C++.
66 class CallbackCostFunction : public ceres::CostFunction {
67  public:
68   CallbackCostFunction(ceres_cost_function_t cost_function,
69                        void* user_data,
70                        int num_residuals,
71                        int num_parameter_blocks,
72                        int* parameter_block_sizes)
73       : cost_function_(cost_function),
74         user_data_(user_data) {
75     set_num_residuals(num_residuals);
76     for (int i = 0; i < num_parameter_blocks; ++i) {
77       mutable_parameter_block_sizes()->push_back(parameter_block_sizes[i]);
78     }
79   }
80
81   virtual ~CallbackCostFunction() {}
82
83   virtual bool Evaluate(double const* const* parameters,
84                         double* residuals,
85                         double** jacobians) const {
86     return (*cost_function_)(user_data_,
87                              const_cast<double**>(parameters),
88                              residuals,
89                              jacobians);
90   }
91
92  private:
93   ceres_cost_function_t cost_function_;
94   void* user_data_;
95 };
96
97 // This loss function wraps a C-level function pointer from the user, to bridge
98 // between C and C++.
99 class CallbackLossFunction : public ceres::LossFunction {
100  public:
101   explicit CallbackLossFunction(ceres_loss_function_t loss_function,
102                                 void* user_data)
103     : loss_function_(loss_function), user_data_(user_data) {}
104   virtual void Evaluate(double sq_norm, double* rho) const {
105     (*loss_function_)(user_data_, sq_norm, rho);
106   }
107
108  private:
109   ceres_loss_function_t loss_function_;
110   void* user_data_;
111 };
112
113 // Wrappers for the stock loss functions.
114 void* ceres_create_huber_loss_function_data(double a) {
115   return new ceres::HuberLoss(a);
116 }
117 void* ceres_create_softl1_loss_function_data(double a) {
118   return new ceres::SoftLOneLoss(a);
119 }
120 void* ceres_create_cauchy_loss_function_data(double a) {
121   return new ceres::CauchyLoss(a);
122 }
123 void* ceres_create_arctan_loss_function_data(double a) {
124   return new ceres::ArctanLoss(a);
125 }
126 void* ceres_create_tolerant_loss_function_data(double a, double b) {
127   return new ceres::TolerantLoss(a, b);
128 }
129
130 void ceres_free_stock_loss_function_data(void* loss_function_data) {
131   delete reinterpret_cast<ceres::LossFunction*>(loss_function_data);
132 }
133
134 void ceres_stock_loss_function(void* user_data,
135                                double squared_norm,
136                                double out[3]) {
137   reinterpret_cast<ceres::LossFunction*>(user_data)
138       ->Evaluate(squared_norm, out);
139 }
140
141 ceres_residual_block_id_t* ceres_problem_add_residual_block(
142     ceres_problem_t* problem,
143     ceres_cost_function_t cost_function,
144     void* cost_function_data,
145     ceres_loss_function_t loss_function,
146     void* loss_function_data,
147     int num_residuals,
148     int num_parameter_blocks,
149     int* parameter_block_sizes,
150     double** parameters) {
151   Problem* ceres_problem = reinterpret_cast<Problem*>(problem);
152
153   ceres::CostFunction* callback_cost_function =
154       new CallbackCostFunction(cost_function,
155                                cost_function_data,
156                                num_residuals,
157                                num_parameter_blocks,
158                                parameter_block_sizes);
159
160   ceres::LossFunction* callback_loss_function = NULL;
161   if (loss_function != NULL) {
162     callback_loss_function = new CallbackLossFunction(loss_function,
163                                                       loss_function_data);
164   }
165
166   std::vector<double*> parameter_blocks(parameters,
167                                         parameters + num_parameter_blocks);
168   return reinterpret_cast<ceres_residual_block_id_t*>(
169       ceres_problem->AddResidualBlock(callback_cost_function,
170                                       callback_loss_function,
171                                       parameter_blocks));
172 }
173
174 void ceres_solve(ceres_problem_t* c_problem) {
175   Problem* problem = reinterpret_cast<Problem*>(c_problem);
176
177   // TODO(keir): Obviously, this way of setting options won't scale or last.
178   // Instead, figure out a way to specify some of the options without
179   // duplicating everything.
180   ceres::Solver::Options options;
181   options.max_num_iterations = 100;
182   options.linear_solver_type = ceres::DENSE_QR;
183   options.minimizer_progress_to_stdout = true;
184
185   ceres::Solver::Summary summary;
186   ceres::Solve(options, problem, &summary);
187   std::cout << summary.FullReport() << "\n";
188 }