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https://github.com/ceres-solver/ceres-solver.git
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Preprocessor for the LineSearchMinimizer.
Change-Id: Ieb5dfe1c0b96ef323c1130edd0c3a8a8b2c644cc
This commit is contained in:
@@ -72,6 +72,7 @@ SET(CERES_INTERNAL_SRC
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line_search.cc
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line_search_direction.cc
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line_search_minimizer.cc
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line_search_preprocessor.cc
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linear_least_squares_problems.cc
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linear_operator.cc
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linear_solver.cc
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@@ -258,6 +259,7 @@ IF (BUILD_TESTING AND GFLAGS)
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CERES_TEST(jet)
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CERES_TEST(levenberg_marquardt_strategy)
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CERES_TEST(dogleg_strategy)
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CERES_TEST(line_search_preprocessor)
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CERES_TEST(local_parameterization)
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CERES_TEST(loss_function)
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CERES_TEST(minimizer)
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@@ -0,0 +1,106 @@
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// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2014 Google Inc. All rights reserved.
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// http://code.google.com/p/ceres-solver/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#include "ceres/line_search_preprocessor.h"
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#include <numeric>
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#include <string>
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#include "ceres/evaluator.h"
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#include "ceres/minimizer.h"
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#include "ceres/problem_impl.h"
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#include "ceres/program.h"
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#include "ceres/wall_time.h"
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namespace ceres {
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namespace internal {
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namespace {
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bool IsProgramValid(const Program& program, string* error) {
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if (program.IsBoundsConstrained()) {
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*error = "LINE_SEARCH Minimizer does not support bounds.";
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return false;
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}
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return program.ParameterBlocksAreFinite(error);
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}
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bool SetupEvaluator(PreprocessedProblem* pp) {
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pp->evaluator_options = Evaluator::Options();
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// This ensures that we get a Block Jacobian Evaluator without any
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// requirement on orderings.
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pp->evaluator_options.linear_solver_type = CGNR;
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pp->evaluator_options.num_eliminate_blocks = 0;
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pp->evaluator_options.num_threads = pp->options.num_threads;
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pp->evaluator.reset(Evaluator::Create(pp->evaluator_options,
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pp->reduced_program.get(),
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&pp->error));
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return (pp->evaluator.get() != NULL);
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}
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} // namespace
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LineSearchPreprocessor::~LineSearchPreprocessor() {
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}
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bool LineSearchPreprocessor::Preprocess(const Solver::Options& options,
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ProblemImpl* problem,
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PreprocessedProblem* pp) {
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CHECK_NOTNULL(pp);
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pp->options = options;
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ChangeNumThreadsIfNeeded(&pp->options);
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pp->problem = problem;
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Program* program = problem->mutable_program();
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if (!IsProgramValid(*program, &pp->error)) {
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return false;
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}
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pp->reduced_program.reset(
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program->CreateReducedProgram(&pp->removed_parameter_blocks,
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&pp->fixed_cost,
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&pp->error));
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if (pp->reduced_program.get() == NULL) {
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return false;
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}
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if (pp->reduced_program->NumParameterBlocks() == 0) {
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return true;
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}
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if (!SetupEvaluator(pp)) {
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return false;
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}
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SetupCommonMinimizerOptions(pp);
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return true;
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}
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} // namespace internal
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} // namespace ceres
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@@ -0,0 +1,50 @@
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// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2014 Google Inc. All rights reserved.
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// http://code.google.com/p/ceres-solver/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameragarwal@google.com (Sameer Agarwal)
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#ifndef CERES_INTERNAL_LINE_SEARCH_PREPROCESSOR_H_
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#define CERES_INTERNAL_LINE_SEARCH_PREPROCESSOR_H_
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#include "ceres/preprocessor.h"
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namespace ceres {
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namespace internal {
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class LineSearchPreprocessor : public Preprocessor {
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public:
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virtual ~LineSearchPreprocessor();
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virtual bool Preprocess(const Solver::Options& options,
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ProblemImpl* problem,
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PreprocessedProblem* preprocessed_problem);
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};
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} // namespace internal
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} // namespace ceres
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#endif // CERES_INTERNAL_LINE_SEARCH_PREPROCESSOR_H_
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@@ -0,0 +1,136 @@
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// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2014 Google Inc. All rights reserved.
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// http://code.google.com/p/ceres-solver/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#include <map>
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#include "ceres/problem_impl.h"
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#include "ceres/sized_cost_function.h"
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#include "ceres/solver.h"
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#include "ceres/line_search_preprocessor.h"
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#include "gtest/gtest.h"
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namespace ceres {
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namespace internal {
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TEST(LineSearchPreprocessor, ZeroProblem) {
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ProblemImpl problem;
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Solver::Options options;
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options.minimizer_type = LINE_SEARCH;
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LineSearchPreprocessor preprocessor;
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PreprocessedProblem pp;
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EXPECT_TRUE(preprocessor.Preprocess(options, &problem, &pp));
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}
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TEST(LineSearchPreprocessor, ProblemWithInvalidParameterBlock) {
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ProblemImpl problem;
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double x = 1.0/0.0;
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problem.AddParameterBlock(&x, 1);
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Solver::Options options;
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options.minimizer_type = LINE_SEARCH;
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LineSearchPreprocessor preprocessor;
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PreprocessedProblem pp;
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EXPECT_FALSE(preprocessor.Preprocess(options, &problem, &pp));
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}
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TEST(LineSearchPreprocessor, ParameterBlockHasBounds) {
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ProblemImpl problem;
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double x = 1.0;
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problem.AddParameterBlock(&x, 1);
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problem.SetParameterUpperBound(&x, 0, 1.0);
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problem.SetParameterLowerBound(&x, 0, 2.0);
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Solver::Options options;
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options.minimizer_type = LINE_SEARCH;
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LineSearchPreprocessor preprocessor;
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PreprocessedProblem pp;
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EXPECT_FALSE(preprocessor.Preprocess(options, &problem, &pp));
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}
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class FailingCostFunction : public SizedCostFunction<1, 1> {
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public:
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bool Evaluate(double const* const* parameters,
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double* residuals,
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double** jacobians) const {
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return false;
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}
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};
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TEST(LineSearchPreprocessor, RemoveParameterBlocksFailed) {
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ProblemImpl problem;
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double x = 3.0;
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problem.AddResidualBlock(new FailingCostFunction, NULL, &x);
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problem.SetParameterBlockConstant(&x);
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Solver::Options options;
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options.minimizer_type = LINE_SEARCH;
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LineSearchPreprocessor preprocessor;
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PreprocessedProblem pp;
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EXPECT_FALSE(preprocessor.Preprocess(options, &problem, &pp));
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}
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TEST(LineSearchPreprocessor, RemoveParameterBlocksSucceeds) {
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ProblemImpl problem;
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double x = 3.0;
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problem.AddParameterBlock(&x, 1);
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Solver::Options options;
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options.minimizer_type = LINE_SEARCH;
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LineSearchPreprocessor preprocessor;
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PreprocessedProblem pp;
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EXPECT_TRUE(preprocessor.Preprocess(options, &problem, &pp));
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}
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template<int kNumResiduals, int N1 = 0, int N2 = 0, int N3 = 0>
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class DummyCostFunction : public SizedCostFunction<kNumResiduals, N1, N2, N3> {
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public:
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bool Evaluate(double const* const* parameters,
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double* residuals,
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double** jacobians) const {
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return true;
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}
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};
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TEST(LineSearchPreprocessor, NormalOperation) {
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ProblemImpl problem;
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double x = 1.0;
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double y = 1.0;
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double z = 1.0;
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problem.AddResidualBlock(new DummyCostFunction<1, 1, 1>, NULL, &x, &y);
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problem.AddResidualBlock(new DummyCostFunction<1, 1, 1>, NULL, &y, &z);
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Solver::Options options;
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options.minimizer_type = LINE_SEARCH;
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LineSearchPreprocessor preprocessor;
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PreprocessedProblem pp;
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EXPECT_TRUE(preprocessor.Preprocess(options, &problem, &pp));
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EXPECT_EQ(pp.evaluator_options.linear_solver_type, CGNR);
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EXPECT_TRUE(pp.evaluator.get() != NULL);
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}
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} // namespace internal
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} // namespace ceres
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@@ -30,6 +30,7 @@
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#include "ceres/callbacks.h"
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#include "ceres/gradient_checking_cost_function.h"
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#include "ceres/line_search_preprocessor.h"
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#include "ceres/preprocessor.h"
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#include "ceres/problem_impl.h"
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#include "ceres/solver.h"
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@@ -43,8 +44,9 @@ Preprocessor* Preprocessor::Create(MinimizerType minimizer_type) {
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return new TrustRegionPreprocessor;
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}
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// TODO(sameeragarwal): Add the LineSearchPreprocessor when it is
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// ready.
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if (minimizer_type == LINE_SEARCH) {
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return new LineSearchPreprocessor;
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}
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LOG(FATAL) << "Unknown minimizer_type: " << minimizer_type;
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return NULL;
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