ceres-solver/internal/ceres/tiny_solver_test.cc

// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2023 Google Inc. All rights reserved.
// http://ceres-solver.org/
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//
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//   this list of conditions and the following disclaimer in the documentation
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// Author: mierle@gmail.com (Keir Mierle)

#define EIGEN_RUNTIME_NO_MALLOC  // Needed for enabling memory allocation
                                 // assertions in Eigen.
#include "ceres/tiny_solver.h"

#include <algorithm>
#include <cmath>

#include "Eigen/Core"
#include "ceres/tiny_solver_test_util.h"
#include "gtest/gtest.h"

namespace ceres {

using Vec2 = Eigen::Matrix<double, 2, 1>;
using Vec3 = Eigen::Matrix<double, 3, 1>;
using VecX = Eigen::VectorXd;

class ExampleStatic {
 public:
  using Scalar = double;
  enum {
    // Can also be Eigen::Dynamic.
    NUM_RESIDUALS = 2,
    NUM_PARAMETERS = 3,
  };
  bool operator()(const double* parameters,
                  double* residuals,
                  double* jacobian) const {
    return EvaluateResidualsAndJacobians(parameters, residuals, jacobian);
  }
};

class ExampleParametersDynamic {
 public:
  using Scalar = double;
  enum {
    NUM_RESIDUALS = 2,
    NUM_PARAMETERS = Eigen::Dynamic,
  };

  int NumParameters() const { return 3; }

  bool operator()(const double* parameters,
                  double* residuals,
                  double* jacobian) const {
    return EvaluateResidualsAndJacobians(parameters, residuals, jacobian);
  }
};

class ExampleResidualsDynamic {
 public:
  using Scalar = double;
  enum {
    NUM_RESIDUALS = Eigen::Dynamic,
    NUM_PARAMETERS = 3,
  };

  int NumResiduals() const { return 2; }

  bool operator()(const double* parameters,
                  double* residuals,
                  double* jacobian) const {
    return EvaluateResidualsAndJacobians(parameters, residuals, jacobian);
  }
};

class ExampleAllDynamic {
 public:
  using Scalar = double;
  enum {
    NUM_RESIDUALS = Eigen::Dynamic,
    NUM_PARAMETERS = Eigen::Dynamic,
  };

  int NumResiduals() const { return 2; }

  int NumParameters() const { return 3; }

  bool operator()(const double* parameters,
                  double* residuals,
                  double* jacobian) const {
    return EvaluateResidualsAndJacobians(parameters, residuals, jacobian);
  }
};

template <typename Function, typename Vector,
          int kMaxResiduals = Function::NUM_RESIDUALS,
          int kMaxParameters = Function::NUM_PARAMETERS>
void TestHelper(const Function& f, const Vector& x0) {
  Vector x = x0;
  Vec2 residuals;
  f(x.data(), residuals.data(), nullptr);
  EXPECT_GT(residuals.squaredNorm() / 2.0, 1e-10);

  TinySolver<Function, kMaxResiduals, kMaxParameters> solver;
  solver.Solve(f, &x);
  EXPECT_NEAR(0.0, solver.summary.final_cost, 1e-10);

  // Getter methods for residuals and jacobian should match the corresponding
  // values evaluated at the converged parameter value.
  Vec2 expected_residuals;
  Eigen::Matrix<double, 2, 3> expected_jacobian;
  f(x.data(), expected_residuals.data(), expected_jacobian.data());
  EXPECT_TRUE(expected_residuals.isApprox(solver.Residuals()));
  EXPECT_TRUE(expected_jacobian.isApprox(solver.Jacobian()));
}

// A test case for when the cost function is statically sized.
TEST(TinySolver, SimpleExample) {
  Vec3 x0(0.76026643, -30.01799744, 0.55192142);
  ExampleStatic f;

  TestHelper(f, x0);
}

// A test case for when the number of parameters is dynamically sized.
TEST(TinySolver, ParametersDynamic) {
  VecX x0(3);
  x0 << 0.76026643, -30.01799744, 0.55192142;

  ExampleParametersDynamic f;

  TestHelper(f, x0);
}

// A test case for when the number of residuals is dynamically sized.
TEST(TinySolver, ResidualsDynamic) {
  Vec3 x0(0.76026643, -30.01799744, 0.55192142);

  ExampleResidualsDynamic f;

  TestHelper(f, x0);
}

// A test case for when the number of parameters and residuals is
// dynamically sized.
TEST(TinySolver, ParametersAndResidualsDynamic) {
  VecX x0(3);
  x0 << 0.76026643, -30.01799744, 0.55192142;

  ExampleAllDynamic f;

  TestHelper(f, x0);
}

// A test case for when the number of parameters and residuals is dynamically
// sized, but the maximum number of parameters and residuals is statically
// sized.
TEST(TinySolver, AllDynamicWithMaxNumResidualsAndParameters) {
  // Enable assertions for memory allocation in Eigen.
  Eigen::internal::set_is_malloc_allowed(false);

  Eigen::Matrix<double, Eigen::Dynamic, 1, 0, 5, 1> x0(3);
  x0 << 0.76026643, -30.01799744, 0.55192142;

  ExampleAllDynamic f;

  TestHelper<ExampleAllDynamic, decltype(x0), 5, 5>(f, x0);

  // Re-enable dynamic memory allocation in Eigen.
  Eigen::internal::set_is_malloc_allowed(true);
}

// A test case to make sure dynamic memory allocation assertions can be enabled
// in Eigen. Eigen assertions are only enabled when NDEBUG is not defined.
// Otherwise, the assertions are compiled out as no-op.
#if !defined(EIGEN_NO_DEBUG)
TEST(TinySolver, EigenMallocAssertions) {
  // Enable assertions for memory allocation in Eigen.
  Eigen::internal::set_is_malloc_allowed(false);

  // Make sure dynamic memory allocation is not allowed.
  ASSERT_DEATH(VecX x0(10), "EIGEN_RUNTIME_NO_MALLOC is defined");

  // Re-enable dynamic memory allocation in Eigen.
  Eigen::internal::set_is_malloc_allowed(true);
}

// A test case for when the number of parameters and residuals is
// dynamically sized requires dynamic allocation.
TEST(TinySolver, ParametersAndResidualsDynamicNeedsDynamicAllocation) {
  VecX x0(3);
  x0 << 0.76026643, -30.01799744, 0.55192142;

  ExampleAllDynamic f;

  // Enable assertions for memory allocation in Eigen.
  Eigen::internal::set_is_malloc_allowed(false);

  ASSERT_DEATH(TestHelper(f, x0), "EIGEN_RUNTIME_NO_MALLOC is defined");

  // Re-enable dynamic memory allocation in Eigen.
  Eigen::internal::set_is_malloc_allowed(true);
}

#endif  // !defined(EIGEN_NO_DEBUG)

}  // namespace ceres