| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2023 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
 | // Redistribution and use in source and binary forms, with or without | 
 | // modification, are permitted provided that the following conditions are met: | 
 | // | 
 | // * Redistributions of source code must retain the above copyright notice, | 
 | //   this list of conditions and the following disclaimer. | 
 | // * Redistributions in binary form must reproduce the above copyright notice, | 
 | //   this list of conditions and the following disclaimer in the documentation | 
 | //   and/or other materials provided with the distribution. | 
 | // * Neither the name of Google Inc. nor the names of its contributors may be | 
 | //   used to endorse or promote products derived from this software without | 
 | //   specific prior written permission. | 
 | // | 
 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
 | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
 | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
 | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
 | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | 
 | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
 | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
 | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
 | // POSSIBILITY OF SUCH DAMAGE. | 
 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #include "ceres/callbacks.h" | 
 |  | 
 | #include <algorithm> | 
 | #include <iostream>  // NO LINT | 
 | #include <string> | 
 |  | 
 | #include "absl/log/log.h" | 
 | #include "ceres/program.h" | 
 | #include "ceres/stringprintf.h" | 
 |  | 
 | namespace ceres::internal { | 
 |  | 
 | StateUpdatingCallback::StateUpdatingCallback(Program* program, | 
 |                                              double* parameters) | 
 |     : program_(program), parameters_(parameters) {} | 
 |  | 
 | StateUpdatingCallback::~StateUpdatingCallback() = default; | 
 |  | 
 | CallbackReturnType StateUpdatingCallback::operator()( | 
 |     const IterationSummary& /*summary*/) { | 
 |   program_->StateVectorToParameterBlocks(parameters_); | 
 |   program_->CopyParameterBlockStateToUserState(); | 
 |   return SOLVER_CONTINUE; | 
 | } | 
 |  | 
 | GradientProblemSolverStateUpdatingCallback:: | 
 |     GradientProblemSolverStateUpdatingCallback( | 
 |         int num_parameters, | 
 |         const double* internal_parameters, | 
 |         double* user_parameters) | 
 |     : num_parameters_(num_parameters), | 
 |       internal_parameters_(internal_parameters), | 
 |       user_parameters_(user_parameters) {} | 
 |  | 
 | GradientProblemSolverStateUpdatingCallback:: | 
 |     ~GradientProblemSolverStateUpdatingCallback() = default; | 
 |  | 
 | CallbackReturnType GradientProblemSolverStateUpdatingCallback::operator()( | 
 |     const IterationSummary& summary) { | 
 |   if (summary.step_is_successful) { | 
 |     std::copy_n(internal_parameters_, num_parameters_, user_parameters_); | 
 |   } | 
 |   return SOLVER_CONTINUE; | 
 | } | 
 |  | 
 | LoggingCallback::LoggingCallback(const MinimizerType minimizer_type, | 
 |                                  const bool log_to_stdout) | 
 |     : minimizer_type(minimizer_type), log_to_stdout_(log_to_stdout) {} | 
 |  | 
 | LoggingCallback::~LoggingCallback() = default; | 
 |  | 
 | CallbackReturnType LoggingCallback::operator()( | 
 |     const IterationSummary& summary) { | 
 |   std::string output; | 
 |   if (minimizer_type == LINE_SEARCH) { | 
 |     output = StringPrintf( | 
 |         "% 4d: f:% 8e d:% 3.2e g:% 3.2e h:% 3.2e s:% 3.2e e:% 3d it:% 3.2e " | 
 |         "tt:% 3.2e", | 
 |         summary.iteration, | 
 |         summary.cost, | 
 |         summary.cost_change, | 
 |         summary.gradient_max_norm, | 
 |         summary.step_norm, | 
 |         summary.step_size, | 
 |         summary.line_search_function_evaluations, | 
 |         summary.iteration_time_in_seconds, | 
 |         summary.cumulative_time_in_seconds); | 
 |   } else if (minimizer_type == TRUST_REGION) { | 
 |     // clang-format off | 
 |     if (summary.iteration == 0) { | 
 |       output = "iter      cost      cost_change  |gradient|   |step|    tr_ratio  tr_radius  ls_iter  iter_time  total_time\n";  // NOLINT | 
 |     } | 
 |     output += StringPrintf( | 
 |         "% 4d % 8e   % 3.2e   % 3.2e  % 3.2e  % 3.2e % 3.2e     % 4d   % 3.2e   % 3.2e",  // NOLINT | 
 |         // clang-format on | 
 |         summary.iteration, | 
 |         summary.cost, | 
 |         summary.cost_change, | 
 |         summary.gradient_max_norm, | 
 |         summary.step_norm, | 
 |         summary.relative_decrease, | 
 |         summary.trust_region_radius, | 
 |         summary.linear_solver_iterations, | 
 |         summary.iteration_time_in_seconds, | 
 |         summary.cumulative_time_in_seconds); | 
 |   } else { | 
 |     LOG(FATAL) << "Unknown minimizer type."; | 
 |   } | 
 |  | 
 |   if (log_to_stdout_) { | 
 |     std::cout << output << std::endl; | 
 |   } else { | 
 |     VLOG(1) << output; | 
 |   } | 
 |   return SOLVER_CONTINUE; | 
 | } | 
 |  | 
 | }  // namespace ceres::internal |