Add simple unit tests for GradientProblem. Change-Id: Id3b25a177aa92032f7f99b0a381c4f97d07d73b2
diff --git a/internal/ceres/CMakeLists.txt b/internal/ceres/CMakeLists.txt index a06f3a5..3108634 100644 --- a/internal/ceres/CMakeLists.txt +++ b/internal/ceres/CMakeLists.txt
@@ -262,6 +262,7 @@ CERES_TEST(evaluator) CERES_TEST(gradient_checker) CERES_TEST(gradient_checking_cost_function) + CERES_TEST(gradient_problem) CERES_TEST(graph) CERES_TEST(graph_algorithms) CERES_TEST(householder_vector)
diff --git a/internal/ceres/gradient_problem_test.cc b/internal/ceres/gradient_problem_test.cc new file mode 100644 index 0000000..b352577 --- /dev/null +++ b/internal/ceres/gradient_problem_test.cc
@@ -0,0 +1,111 @@ +// Ceres Solver - A fast non-linear least squares minimizer +// Copyright 2015 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: strandmark@google.com (Petter Strandmark) + +#include "ceres/gradient_problem.h" + +#include "gtest/gtest.h" + +namespace ceres { +namespace internal { + +class QuadraticTestFunction : public ceres::FirstOrderFunction { + public: + explicit QuadraticTestFunction(bool* flag_to_set_on_destruction = NULL) + : flag_to_set_on_destruction_(flag_to_set_on_destruction) {} + + virtual ~QuadraticTestFunction() { + if (flag_to_set_on_destruction_) { + *flag_to_set_on_destruction_ = true; + } + } + + virtual bool Evaluate(const double* parameters, + double* cost, + double* gradient) const { + const double x = parameters[0]; + cost[0] = x * x; + if (gradient != NULL) { + gradient[0] = 2.0 * x; + } + return true; + } + + virtual int NumParameters() const { return 1; } + + private: + bool* flag_to_set_on_destruction_; +}; + +TEST(GradientProblem, TakesOwnershipOfFirstOrderFunction) { + bool is_destructed = false; + { + ceres::GradientProblem problem(new QuadraticTestFunction(&is_destructed)); + } + EXPECT_TRUE(is_destructed); +} + +TEST(GradientProblem, EvaluationWithoutParameterizationOrGradient) { + ceres::GradientProblem problem(new QuadraticTestFunction()); + double x = 7.0; + double cost = 0; + problem.Evaluate(&x, &cost, NULL); + EXPECT_EQ(x * x, cost); +} + +TEST(GradientProblem, EvalutaionWithParameterizationAndNoGradient) { + ceres::GradientProblem problem(new QuadraticTestFunction(), + new IdentityParameterization(1)); + double x = 7.0; + double cost = 0; + problem.Evaluate(&x, &cost, NULL); + EXPECT_EQ(x * x, cost); +} + +TEST(GradientProblem, EvaluationWithoutParameterizationAndWithGradient) { + ceres::GradientProblem problem(new QuadraticTestFunction()); + double x = 7.0; + double cost = 0; + double gradient = 0; + problem.Evaluate(&x, &cost, &gradient); + EXPECT_EQ(2.0 * x, gradient); +} + +TEST(GradientProblem, EvaluationWithParameterizationAndWithGradient) { + ceres::GradientProblem problem(new QuadraticTestFunction(), + new IdentityParameterization(1)); + double x = 7.0; + double cost = 0; + double gradient = 0; + problem.Evaluate(&x, &cost, &gradient); + EXPECT_EQ(2.0 * x, gradient); +} + +} // namespace internal +} // namespace ceres