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// 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
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//
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// 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] = &params_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