| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2020 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: darius.rueckert@fau.de (Darius Rueckert) | 
 |  | 
 | #include "ceres/codegen/test_utils.h" | 
 | #include "ceres/test_util.h" | 
 |  | 
 | namespace ceres { | 
 | namespace internal { | 
 |  | 
 | std::pair<std::vector<double>, std::vector<double> > EvaluateCostFunction( | 
 |     CostFunction* cost_function, double value) { | 
 |   auto num_residuals = cost_function->num_residuals(); | 
 |   auto parameter_block_sizes = cost_function->parameter_block_sizes(); | 
 |   auto num_parameter_blocks = parameter_block_sizes.size(); | 
 |  | 
 |   int total_num_parameters = 0; | 
 |   for (auto block_size : parameter_block_sizes) { | 
 |     total_num_parameters += block_size; | 
 |   } | 
 |  | 
 |   std::vector<double> params_array(total_num_parameters, value); | 
 |   std::vector<double*> params(num_parameter_blocks); | 
 |   std::vector<double> residuals(num_residuals, 0); | 
 |   std::vector<double> jacobians_array(num_residuals * total_num_parameters, 0); | 
 |   std::vector<double*> jacobians(num_parameter_blocks); | 
 |  | 
 |   for (int i = 0, k = 0; i < num_parameter_blocks; | 
 |        k += parameter_block_sizes[i], ++i) { | 
 |     params[i] = ¶ms_array[k]; | 
 |   } | 
 |  | 
 |   for (int i = 0, k = 0; i < num_parameter_blocks; | 
 |        k += parameter_block_sizes[i], ++i) { | 
 |     jacobians[i] = &jacobians_array[k * num_residuals]; | 
 |   } | 
 |  | 
 |   cost_function->Evaluate(params.data(), residuals.data(), jacobians.data()); | 
 |  | 
 |   return std::make_pair(residuals, jacobians_array); | 
 | } | 
 |  | 
 | void CompareCostFunctions(CostFunction* cost_function1, | 
 |                           CostFunction* cost_function2, | 
 |  | 
 |                           double value, | 
 |                           double tol) { | 
 |   auto residuals_and_jacobians_1 = EvaluateCostFunction(cost_function1, value); | 
 |   auto residuals_and_jacobians_2 = EvaluateCostFunction(cost_function2, value); | 
 |  | 
 |   ExpectArraysClose(residuals_and_jacobians_1.first.size(), | 
 |                     residuals_and_jacobians_1.first.data(), | 
 |                     residuals_and_jacobians_2.first.data(), | 
 |                     tol); | 
 |   ExpectArraysClose(residuals_and_jacobians_1.second.size(), | 
 |                     residuals_and_jacobians_1.second.data(), | 
 |                     residuals_and_jacobians_2.second.data(), | 
 |                     tol); | 
 | } | 
 |  | 
 | }  // namespace internal | 
 | }  // namespace ceres |