Files
ceres-solver/internal/ceres/residual_block_utils_test.cc
T
Sameer Agarwal 1fdc520f7b Refactor the array validation routines into their own file, as they are used by
more than just the residual block evaluation routines now.
Check the step computed by the linear solver for finiteness, and terminate early
if it is not. This will prevent bugs where the solver continues to run after
encountering an nan.
2012-05-12 07:29:10 -07:00

166 lines
5.9 KiB
C++

// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2010, 2011, 2012 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
// 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 <cmath>
#include <limits>
#include "gtest/gtest.h"
#include "ceres/parameter_block.h"
#include "ceres/residual_block.h"
#include "ceres/residual_block_utils.h"
#include "ceres/cost_function.h"
#include "ceres/internal/scoped_ptr.h"
#include "ceres/sized_cost_function.h"
namespace ceres {
namespace internal {
// Routine to check if ResidualBlock::Evaluate for unary CostFunction
// with one residual succeeds with true or dies.
void CheckEvaluation(const CostFunction& cost_function, bool is_good) {
double x = 1.0;
ParameterBlock parameter_block(&x, 1);
vector<ParameterBlock*> parameter_blocks;
parameter_blocks.push_back(&parameter_block);
ResidualBlock residual_block(&cost_function,
NULL,
parameter_blocks);
scoped_array<double> scratch(
new double[residual_block.NumScratchDoublesForEvaluate()]);
double cost;
double residuals;
double jacobian;
double* jacobians[] = { &jacobian };
EXPECT_EQ(residual_block.Evaluate(&cost,
&residuals,
jacobians,
scratch.get()), is_good);
}
// A CostFunction that behaves normaly, i.e., it computes numerically
// valid residuals and jacobians.
class GoodCostFunction: public SizedCostFunction<1, 1> {
public:
virtual bool Evaluate(double const* const* parameters,
double* residuals,
double** jacobians) const {
residuals[0] = 1;
if (jacobians != NULL && jacobians[0] != NULL) {
jacobians[0][0] = 0.0;
}
return true;
}
};
// The following four CostFunctions simulate the different ways in
// which user code can cause ResidualBlock::Evaluate to fail.
class NoResidualUpdateCostFunction: public SizedCostFunction<1, 1> {
public:
virtual bool Evaluate(double const* const* parameters,
double* residuals,
double** jacobians) const {
// Forget to update the residuals.
// residuals[0] = 1;
if (jacobians != NULL && jacobians[0] != NULL) {
jacobians[0][0] = 0.0;
}
return true;
}
};
class NoJacobianUpdateCostFunction: public SizedCostFunction<1, 1> {
public:
virtual bool Evaluate(double const* const* parameters,
double* residuals,
double** jacobians) const {
residuals[0] = 1;
if (jacobians != NULL && jacobians[0] != NULL) {
// Forget to update the jacobians.
// jacobians[0][0] = 0.0;
}
return true;
}
};
class BadResidualCostFunction: public SizedCostFunction<1, 1> {
public:
virtual bool Evaluate(double const* const* parameters,
double* residuals,
double** jacobians) const {
residuals[0] = std::numeric_limits<double>::infinity();
if (jacobians != NULL && jacobians[0] != NULL) {
jacobians[0][0] = 0.0;
}
return true;
}
};
class BadJacobianCostFunction: public SizedCostFunction<1, 1> {
public:
virtual bool Evaluate(double const* const* parameters,
double* residuals,
double** jacobians) const {
residuals[0] = 1.0;
if (jacobians != NULL && jacobians[0] != NULL) {
jacobians[0][0] = std::numeric_limits<double>::quiet_NaN();
}
return true;
}
};
// Note: It is preferable to write the below test as:
//
// CheckEvaluation(GoodCostFunction(), true);
// CheckEvaluation(NoResidualUpdateCostFunction(), false);
// CheckEvaluation(NoJacobianUpdateCostFunction(), false);
// ...
//
// however, there is a bug in the version of GCC on Mac OS X we tested, which
// requires the objects get put into local variables instead of getting
// instantiated on the stack.
TEST(ResidualBlockUtils, CheckAllCombinationsOfBadness) {
GoodCostFunction good_fun;
CheckEvaluation(good_fun, true);
NoResidualUpdateCostFunction no_residual;
CheckEvaluation(no_residual, false);
NoJacobianUpdateCostFunction no_jacobian;
CheckEvaluation(no_jacobian, false);
BadResidualCostFunction bad_residual;
CheckEvaluation(bad_residual, false);
BadJacobianCostFunction bad_jacobian;
CheckEvaluation(bad_jacobian, false);
}
} // namespace internal
} // namespace ceres