diff options
Diffstat (limited to 'extern/libmv/third_party/ceres/internal/ceres/gradient_problem_solver.cc')
-rw-r--r-- | extern/libmv/third_party/ceres/internal/ceres/gradient_problem_solver.cc | 270 |
1 files changed, 0 insertions, 270 deletions
diff --git a/extern/libmv/third_party/ceres/internal/ceres/gradient_problem_solver.cc b/extern/libmv/third_party/ceres/internal/ceres/gradient_problem_solver.cc deleted file mode 100644 index 4024f4cc4e6..00000000000 --- a/extern/libmv/third_party/ceres/internal/ceres/gradient_problem_solver.cc +++ /dev/null @@ -1,270 +0,0 @@ -// Ceres Solver - A fast non-linear least squares minimizer -// Copyright 2014 Google Inc. All rights reserved. -// http://code.google.com/p/ceres-solver/ -// -// 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/gradient_problem_solver.h" - -#include "ceres/callbacks.h" -#include "ceres/gradient_problem.h" -#include "ceres/gradient_problem_evaluator.h" -#include "ceres/internal/eigen.h" -#include "ceres/internal/port.h" -#include "ceres/map_util.h" -#include "ceres/minimizer.h" -#include "ceres/solver.h" -#include "ceres/solver_utils.h" -#include "ceres/stringprintf.h" -#include "ceres/types.h" -#include "ceres/wall_time.h" - -namespace ceres { -using internal::StringPrintf; -using internal::StringAppendF; - -namespace { - -Solver::Options GradientProblemSolverOptionsToSolverOptions( - const GradientProblemSolver::Options& options) { -#define COPY_OPTION(x) solver_options.x = options.x - - Solver::Options solver_options; - solver_options.minimizer_type = LINE_SEARCH; - COPY_OPTION(line_search_direction_type); - COPY_OPTION(line_search_type); - COPY_OPTION(nonlinear_conjugate_gradient_type); - COPY_OPTION(max_lbfgs_rank); - COPY_OPTION(use_approximate_eigenvalue_bfgs_scaling); - COPY_OPTION(line_search_interpolation_type); - COPY_OPTION(min_line_search_step_size); - COPY_OPTION(line_search_sufficient_function_decrease); - COPY_OPTION(max_line_search_step_contraction); - COPY_OPTION(min_line_search_step_contraction); - COPY_OPTION(max_num_line_search_step_size_iterations); - COPY_OPTION(max_num_line_search_direction_restarts); - COPY_OPTION(line_search_sufficient_curvature_decrease); - COPY_OPTION(max_line_search_step_expansion); - COPY_OPTION(max_num_iterations); - COPY_OPTION(max_solver_time_in_seconds); - COPY_OPTION(function_tolerance); - COPY_OPTION(gradient_tolerance); - COPY_OPTION(logging_type); - COPY_OPTION(minimizer_progress_to_stdout); - COPY_OPTION(callbacks); - return solver_options; -#undef COPY_OPTION -} - - -} // namespace - -GradientProblemSolver::~GradientProblemSolver() { -} - -void GradientProblemSolver::Solve(const GradientProblemSolver::Options& options, - const GradientProblem& problem, - double* parameters_ptr, - GradientProblemSolver::Summary* summary) { - using internal::scoped_ptr; - using internal::WallTimeInSeconds; - using internal::Minimizer; - using internal::GradientProblemEvaluator; - using internal::LoggingCallback; - using internal::SetSummaryFinalCost; - - double start_time = WallTimeInSeconds(); - Solver::Options solver_options = - GradientProblemSolverOptionsToSolverOptions(options); - - *CHECK_NOTNULL(summary) = Summary(); - summary->num_parameters = problem.NumParameters(); - summary->num_local_parameters = problem.NumLocalParameters(); - summary->line_search_direction_type = options.line_search_direction_type; // NOLINT - summary->line_search_interpolation_type = options.line_search_interpolation_type; // NOLINT - summary->line_search_type = options.line_search_type; - summary->max_lbfgs_rank = options.max_lbfgs_rank; - summary->nonlinear_conjugate_gradient_type = options.nonlinear_conjugate_gradient_type; // NOLINT - - // Check validity - if (!solver_options.IsValid(&summary->message)) { - LOG(ERROR) << "Terminating: " << summary->message; - return; - } - - // Assuming that the parameter blocks in the program have been - Minimizer::Options minimizer_options; - minimizer_options = Minimizer::Options(solver_options); - minimizer_options.evaluator.reset(new GradientProblemEvaluator(problem)); - - scoped_ptr<IterationCallback> logging_callback; - if (options.logging_type != SILENT) { - logging_callback.reset( - new LoggingCallback(LINE_SEARCH, options.minimizer_progress_to_stdout)); - minimizer_options.callbacks.insert(minimizer_options.callbacks.begin(), - logging_callback.get()); - } - - scoped_ptr<Minimizer> minimizer(Minimizer::Create(LINE_SEARCH)); - Vector solution(problem.NumParameters()); - VectorRef parameters(parameters_ptr, problem.NumParameters()); - solution = parameters; - - Solver::Summary solver_summary; - solver_summary.fixed_cost = 0.0; - solver_summary.preprocessor_time_in_seconds = 0.0; - solver_summary.postprocessor_time_in_seconds = 0.0; - - minimizer->Minimize(minimizer_options, solution.data(), &solver_summary); - - summary->termination_type = solver_summary.termination_type; - summary->message = solver_summary.message; - summary->initial_cost = solver_summary.initial_cost; - summary->final_cost = solver_summary.final_cost; - summary->iterations = solver_summary.iterations; - - if (summary->IsSolutionUsable()) { - parameters = solution; - SetSummaryFinalCost(summary); - } - - const map<string, double>& evaluator_time_statistics = - minimizer_options.evaluator->TimeStatistics(); - summary->cost_evaluation_time_in_seconds = - FindWithDefault(evaluator_time_statistics, "Evaluator::Residual", 0.0); - summary->gradient_evaluation_time_in_seconds = - FindWithDefault(evaluator_time_statistics, "Evaluator::Jacobian", 0.0); - - summary->total_time_in_seconds = WallTimeInSeconds() - start_time; -} - -// Invalid values for most fields, to ensure that we are not -// accidentally reporting default values. -GradientProblemSolver::Summary::Summary() - : termination_type(FAILURE), - message("ceres::GradientProblemSolve was not called."), - initial_cost(-1.0), - final_cost(-1.0), - total_time_in_seconds(-1.0), - cost_evaluation_time_in_seconds(-1.0), - gradient_evaluation_time_in_seconds(-1.0), - num_parameters(-1), - num_local_parameters(-1), - line_search_direction_type(LBFGS), - line_search_type(ARMIJO), - line_search_interpolation_type(BISECTION), - nonlinear_conjugate_gradient_type(FLETCHER_REEVES), - max_lbfgs_rank(-1) { -} - -bool GradientProblemSolver::Summary::IsSolutionUsable() const { - return internal::IsSolutionUsable(*this); -} - -string GradientProblemSolver::Summary::BriefReport() const { - return StringPrintf("Ceres GradientProblemSolver Report: " - "Iterations: %d, " - "Initial cost: %e, " - "Final cost: %e, " - "Termination: %s", - static_cast<int>(iterations.size()), - initial_cost, - final_cost, - TerminationTypeToString(termination_type)); -}; - -string GradientProblemSolver::Summary::FullReport() const { - using internal::VersionString; - - string report = string("\nSolver Summary (v " + VersionString() + ")\n\n"); - - StringAppendF(&report, "Parameters % 25d\n", num_parameters); - if (num_local_parameters != num_parameters) { - StringAppendF(&report, "Local parameters % 25d\n", - num_local_parameters); - } - - string line_search_direction_string; - if (line_search_direction_type == LBFGS) { - line_search_direction_string = StringPrintf("LBFGS (%d)", max_lbfgs_rank); - } else if (line_search_direction_type == NONLINEAR_CONJUGATE_GRADIENT) { - line_search_direction_string = - NonlinearConjugateGradientTypeToString( - nonlinear_conjugate_gradient_type); - } else { - line_search_direction_string = - LineSearchDirectionTypeToString(line_search_direction_type); - } - - StringAppendF(&report, "Line search direction %19s\n", - line_search_direction_string.c_str()); - - const string line_search_type_string = - StringPrintf("%s %s", - LineSearchInterpolationTypeToString( - line_search_interpolation_type), - LineSearchTypeToString(line_search_type)); - StringAppendF(&report, "Line search type %19s\n", - line_search_type_string.c_str()); - StringAppendF(&report, "\n"); - - StringAppendF(&report, "\nCost:\n"); - StringAppendF(&report, "Initial % 30e\n", initial_cost); - if (termination_type != FAILURE && - termination_type != USER_FAILURE) { - StringAppendF(&report, "Final % 30e\n", final_cost); - StringAppendF(&report, "Change % 30e\n", - initial_cost - final_cost); - } - - StringAppendF(&report, "\nMinimizer iterations % 16d\n", - static_cast<int>(iterations.size())); - - StringAppendF(&report, "\nTime (in seconds):\n"); - - StringAppendF(&report, "\n Cost evaluation %23.3f\n", - cost_evaluation_time_in_seconds); - StringAppendF(&report, " Gradient evaluation %23.3f\n", - gradient_evaluation_time_in_seconds); - - StringAppendF(&report, "Total %25.3f\n\n", - total_time_in_seconds); - - StringAppendF(&report, "Termination: %25s (%s)\n", - TerminationTypeToString(termination_type), message.c_str()); - return report; -}; - -void Solve(const GradientProblemSolver::Options& options, - const GradientProblem& problem, - double* parameters, - GradientProblemSolver::Summary* summary) { - GradientProblemSolver solver; - solver.Solve(options, problem, parameters, summary); -} - -} // namespace ceres |