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- // 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/autodiff_first_order_function.h"
- #include <memory>
- #include "ceres/array_utils.h"
- #include "ceres/first_order_function.h"
- #include "gtest/gtest.h"
- namespace ceres {
- namespace internal {
- class QuadraticCostFunctor {
- public:
- explicit QuadraticCostFunctor(double a) : a_(a) {}
- template <typename T>
- bool operator()(const T* const x, T* cost) const {
- cost[0] = x[0] * x[1] + x[2] * x[3] - a_;
- return true;
- }
- private:
- double a_;
- };
- TEST(AutoDiffFirstOrderFunction, BilinearDifferentiationTest) {
- std::unique_ptr<FirstOrderFunction> function(
- new AutoDiffFirstOrderFunction<QuadraticCostFunctor, 4>(
- new QuadraticCostFunctor(1.0)));
- double parameters[4] = {1.0, 2.0, 3.0, 4.0};
- double gradient[4];
- double cost;
- function->Evaluate(parameters, &cost, nullptr);
- EXPECT_EQ(cost, 13.0);
- cost = -1.0;
- function->Evaluate(parameters, &cost, gradient);
- EXPECT_EQ(cost, 13.0);
- EXPECT_EQ(gradient[0], parameters[1]);
- EXPECT_EQ(gradient[1], parameters[0]);
- EXPECT_EQ(gradient[2], parameters[3]);
- EXPECT_EQ(gradient[3], parameters[2]);
- }
- } // namespace internal
- } // namespace ceres
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