blob: 3510171074b7965628efd923f239da32b652b9fa [file] [log] [blame]
// 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: sameeragarwal@google.com (Sameer Agarwal)
#include "ceres/reorder_program.h"
#include <random>
#include "ceres/internal/config.h"
#include "ceres/parameter_block.h"
#include "ceres/problem_impl.h"
#include "ceres/program.h"
#include "ceres/sized_cost_function.h"
#include "ceres/solver.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
namespace ceres {
namespace internal {
// Templated base class for the CostFunction signatures.
template <int kNumResiduals, int... Ns>
class MockCostFunctionBase : public SizedCostFunction<kNumResiduals, Ns...> {
public:
bool Evaluate(double const* const* parameters,
double* residuals,
double** jacobians) const final {
// Do nothing. This is never called.
return true;
}
};
class UnaryCostFunction : public MockCostFunctionBase<2, 1> {};
class BinaryCostFunction : public MockCostFunctionBase<2, 1, 1> {};
class TernaryCostFunction : public MockCostFunctionBase<2, 1, 1, 1> {};
TEST(_, ReorderResidualBlockNormalFunction) {
ProblemImpl problem;
double x;
double y;
double z;
problem.AddParameterBlock(&x, 1);
problem.AddParameterBlock(&y, 1);
problem.AddParameterBlock(&z, 1);
problem.AddResidualBlock(new UnaryCostFunction(), nullptr, &x);
problem.AddResidualBlock(new BinaryCostFunction(), nullptr, &z, &x);
problem.AddResidualBlock(new BinaryCostFunction(), nullptr, &z, &y);
problem.AddResidualBlock(new UnaryCostFunction(), nullptr, &z);
problem.AddResidualBlock(new BinaryCostFunction(), nullptr, &x, &y);
problem.AddResidualBlock(new UnaryCostFunction(), nullptr, &y);
auto linear_solver_ordering = std::make_shared<ParameterBlockOrdering>();
linear_solver_ordering->AddElementToGroup(&x, 0);
linear_solver_ordering->AddElementToGroup(&y, 0);
linear_solver_ordering->AddElementToGroup(&z, 1);
Solver::Options options;
options.linear_solver_type = DENSE_SCHUR;
options.linear_solver_ordering = linear_solver_ordering;
const std::vector<ResidualBlock*>& residual_blocks =
problem.program().residual_blocks();
std::vector<ResidualBlock*> expected_residual_blocks;
// This is a bit fragile, but it serves the purpose. We know the
// bucketing algorithm that the reordering function uses, so we
// expect the order for residual blocks for each e_block to be
// filled in reverse.
expected_residual_blocks.push_back(residual_blocks[4]);
expected_residual_blocks.push_back(residual_blocks[1]);
expected_residual_blocks.push_back(residual_blocks[0]);
expected_residual_blocks.push_back(residual_blocks[5]);
expected_residual_blocks.push_back(residual_blocks[2]);
expected_residual_blocks.push_back(residual_blocks[3]);
Program* program = problem.mutable_program();
program->SetParameterOffsetsAndIndex();
std::string message;
EXPECT_TRUE(LexicographicallyOrderResidualBlocks(
2, problem.mutable_program(), &message));
EXPECT_EQ(residual_blocks.size(), expected_residual_blocks.size());
for (int i = 0; i < expected_residual_blocks.size(); ++i) {
EXPECT_EQ(residual_blocks[i], expected_residual_blocks[i]);
}
}
TEST(_, ApplyOrderingOrderingTooSmall) {
ProblemImpl problem;
double x;
double y;
double z;
problem.AddParameterBlock(&x, 1);
problem.AddParameterBlock(&y, 1);
problem.AddParameterBlock(&z, 1);
ParameterBlockOrdering linear_solver_ordering;
linear_solver_ordering.AddElementToGroup(&x, 0);
linear_solver_ordering.AddElementToGroup(&y, 1);
Program program(problem.program());
std::string message;
EXPECT_FALSE(ApplyOrdering(
problem.parameter_map(), linear_solver_ordering, &program, &message));
}
TEST(_, ApplyOrderingNormal) {
ProblemImpl problem;
double x;
double y;
double z;
problem.AddParameterBlock(&x, 1);
problem.AddParameterBlock(&y, 1);
problem.AddParameterBlock(&z, 1);
ParameterBlockOrdering linear_solver_ordering;
linear_solver_ordering.AddElementToGroup(&x, 0);
linear_solver_ordering.AddElementToGroup(&y, 2);
linear_solver_ordering.AddElementToGroup(&z, 1);
Program* program = problem.mutable_program();
std::string message;
EXPECT_TRUE(ApplyOrdering(
problem.parameter_map(), linear_solver_ordering, program, &message));
const std::vector<ParameterBlock*>& parameter_blocks = program->parameter_blocks();
EXPECT_EQ(parameter_blocks.size(), 3);
EXPECT_EQ(parameter_blocks[0]->user_state(), &x);
EXPECT_EQ(parameter_blocks[1]->user_state(), &z);
EXPECT_EQ(parameter_blocks[2]->user_state(), &y);
}
#ifndef CERES_NO_SUITESPARSE
class ReorderProgramForSparseCholeskyUsingSuiteSparseTest
: public ::testing::Test {
protected:
void SetUp() override {
problem_.AddResidualBlock(new UnaryCostFunction(), nullptr, &x_);
problem_.AddResidualBlock(new BinaryCostFunction(), nullptr, &z_, &x_);
problem_.AddResidualBlock(new BinaryCostFunction(), nullptr, &z_, &y_);
problem_.AddResidualBlock(new UnaryCostFunction(), nullptr, &z_);
problem_.AddResidualBlock(new BinaryCostFunction(), nullptr, &x_, &y_);
problem_.AddResidualBlock(new UnaryCostFunction(), nullptr, &y_);
}
void ComputeAndValidateOrdering(
const ParameterBlockOrdering& linear_solver_ordering) {
Program* program = problem_.mutable_program();
std::vector<ParameterBlock*> unordered_parameter_blocks =
program->parameter_blocks();
std::string error;
EXPECT_TRUE(ReorderProgramForSparseCholesky(ceres::SUITE_SPARSE,
ceres::AMD,
linear_solver_ordering,
0, /* use all rows */
program,
&error));
const std::vector<ParameterBlock*>& ordered_parameter_blocks =
program->parameter_blocks();
EXPECT_EQ(ordered_parameter_blocks.size(),
unordered_parameter_blocks.size());
EXPECT_THAT(unordered_parameter_blocks,
::testing::UnorderedElementsAreArray(ordered_parameter_blocks));
}
ProblemImpl problem_;
double x_;
double y_;
double z_;
};
TEST_F(ReorderProgramForSparseCholeskyUsingSuiteSparseTest,
EverythingInGroupZero) {
ParameterBlockOrdering linear_solver_ordering;
linear_solver_ordering.AddElementToGroup(&x_, 0);
linear_solver_ordering.AddElementToGroup(&y_, 0);
linear_solver_ordering.AddElementToGroup(&z_, 0);
ComputeAndValidateOrdering(linear_solver_ordering);
}
TEST_F(ReorderProgramForSparseCholeskyUsingSuiteSparseTest, ContiguousGroups) {
ParameterBlockOrdering linear_solver_ordering;
linear_solver_ordering.AddElementToGroup(&x_, 0);
linear_solver_ordering.AddElementToGroup(&y_, 1);
linear_solver_ordering.AddElementToGroup(&z_, 2);
ComputeAndValidateOrdering(linear_solver_ordering);
}
TEST_F(ReorderProgramForSparseCholeskyUsingSuiteSparseTest, GroupsWithGaps) {
ParameterBlockOrdering linear_solver_ordering;
linear_solver_ordering.AddElementToGroup(&x_, 0);
linear_solver_ordering.AddElementToGroup(&y_, 2);
linear_solver_ordering.AddElementToGroup(&z_, 2);
ComputeAndValidateOrdering(linear_solver_ordering);
}
TEST_F(ReorderProgramForSparseCholeskyUsingSuiteSparseTest,
NonContiguousStartingAtTwo) {
ParameterBlockOrdering linear_solver_ordering;
linear_solver_ordering.AddElementToGroup(&x_, 2);
linear_solver_ordering.AddElementToGroup(&y_, 4);
linear_solver_ordering.AddElementToGroup(&z_, 4);
ComputeAndValidateOrdering(linear_solver_ordering);
}
#endif // CERES_NO_SUITESPARSE
TEST(_, ReorderResidualBlocksbyPartition) {
ProblemImpl problem;
double x;
double y;
double z;
problem.AddParameterBlock(&x, 1);
problem.AddParameterBlock(&y, 1);
problem.AddParameterBlock(&z, 1);
problem.AddResidualBlock(new UnaryCostFunction(), nullptr, &x);
problem.AddResidualBlock(new BinaryCostFunction(), nullptr, &z, &x);
problem.AddResidualBlock(new BinaryCostFunction(), nullptr, &z, &y);
problem.AddResidualBlock(new UnaryCostFunction(), nullptr, &z);
problem.AddResidualBlock(new BinaryCostFunction(), nullptr, &x, &y);
problem.AddResidualBlock(new UnaryCostFunction(), nullptr, &y);
std::vector<ResidualBlockId> residual_block_ids;
problem.GetResidualBlocks(&residual_block_ids);
std::vector<ResidualBlock*> residual_blocks =
problem.program().residual_blocks();
auto rng = std::mt19937{};
for (int i = 1; i < 6; ++i) {
std::shuffle(
std::begin(residual_block_ids), std::end(residual_block_ids), rng);
std::unordered_set<ResidualBlockId> bottom(residual_block_ids.begin(),
residual_block_ids.begin() + i);
const int start_bottom =
ReorderResidualBlocksByPartition(bottom, problem.mutable_program());
std::vector<ResidualBlock*> actual_residual_blocks =
problem.program().residual_blocks();
EXPECT_THAT(actual_residual_blocks,
testing::UnorderedElementsAreArray(residual_blocks));
EXPECT_EQ(start_bottom, residual_blocks.size() - i);
for (int j = start_bottom; j < residual_blocks.size(); ++j) {
EXPECT_THAT(bottom, ::testing::Contains(actual_residual_blocks[j]));
}
}
}
} // namespace internal
} // namespace ceres