Fix user iteration callbacks.

User callbacks got broken at some point due to the extra
layer of copying from Solver::Options to Minimizer::Options.
This copies the user callbacks when initializing
Minimizer::Options from Solver::Options, and adds a test to
this effect.

This also fixes a bug where the state updating callback was
not called before the user callbacks. This also adds a test
to solver_impl_test to ensure the state updating callbacks
work as expected.

Thanks to Luis Alberto Zarrabeitia for the report.

Issue: 46
Change-Id: I2b36415c89dafaa5c84ecaa727a325df122e1092
This commit is contained in:
Keir Mierle
2012-06-14 11:31:53 -07:00
parent 57d91f5e9e
commit f747183ec0
8 changed files with 141 additions and 9 deletions
+1
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@@ -182,6 +182,7 @@ IF (${BUILD_TESTING})
CERES_TEST(levenberg_marquardt_strategy)
CERES_TEST(local_parameterization)
CERES_TEST(loss_function)
CERES_TEST(minimizer)
CERES_TEST(normal_prior)
CERES_TEST(numeric_diff_cost_function)
CERES_TEST(parameter_block)
+1
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@@ -78,6 +78,7 @@ class Minimizer {
evaluator = NULL;
trust_region_strategy = NULL;
jacobian = NULL;
callbacks = options.callbacks;
}
int max_num_iterations;
+63
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@@ -0,0 +1,63 @@
// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 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: keir@google.com (Keir Mierle)
#include "gtest/gtest.h"
#include "ceres/iteration_callback.h"
#include "ceres/minimizer.h"
#include "ceres/solver.h"
namespace ceres {
namespace internal {
class FakeIterationCallback : public IterationCallback {
public:
virtual ~FakeIterationCallback() {}
virtual CallbackReturnType operator()(const IterationSummary& summary) {
return SOLVER_CONTINUE;
}
};
TEST(MinimizerTest, InitializationCopiesCallbacks) {
FakeIterationCallback callback0;
FakeIterationCallback callback1;
Solver::Options solver_options;
solver_options.callbacks.push_back(&callback0);
solver_options.callbacks.push_back(&callback1);
Minimizer::Options minimizer_options(solver_options);
ASSERT_EQ(2, minimizer_options.callbacks.size());
EXPECT_EQ(minimizer_options.callbacks[0], &callback0);
EXPECT_EQ(minimizer_options.callbacks[1], &callback1);
}
} // namespace internal
} // namespace ceres
+6 -2
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@@ -132,12 +132,16 @@ void SolverImpl::Minimize(const Solver::Options& options,
Minimizer::Options minimizer_options(options);
LoggingCallback logging_callback(options.minimizer_progress_to_stdout);
if (options.logging_type != SILENT) {
minimizer_options.callbacks.push_back(&logging_callback);
minimizer_options.callbacks.insert(minimizer_options.callbacks.begin(),
&logging_callback);
}
StateUpdatingCallback updating_callback(program, parameters);
if (options.update_state_every_iteration) {
minimizer_options.callbacks.push_back(&updating_callback);
// This must get pushed to the front of the callbacks so that it is run
// before any of the user callbacks.
minimizer_options.callbacks.insert(minimizer_options.callbacks.begin(),
&updating_callback);
}
minimizer_options.evaluator = evaluator;
+65
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@@ -29,6 +29,7 @@
// Author: sameeragarwal@google.com (Sameer Agarwal)
#include "gtest/gtest.h"
#include "ceres/autodiff_cost_function.h"
#include "ceres/linear_solver.h"
#include "ceres/parameter_block.h"
#include "ceres/problem_impl.h"
@@ -560,5 +561,69 @@ TEST(SolverImpl, CreateLinearSolverNormalOperation) {
EXPECT_TRUE(solver.get() != NULL);
}
struct QuadraticCostFunction {
template <typename T> bool operator()(const T* const x,
T* residual) const {
residual[0] = T(5.0) - *x;
return true;
}
};
struct RememberingCallback : public IterationCallback {
RememberingCallback(double *x) : calls(0), x(x) {}
virtual ~RememberingCallback() {}
virtual CallbackReturnType operator()(const IterationSummary& summary) {
x_values.push_back(*x);
return SOLVER_CONTINUE;
}
int calls;
double *x;
vector<double> x_values;
};
TEST(SolverImpl, UpdateStateEveryIterationOption) {
double x = 50.0;
const double original_x = x;
scoped_ptr<CostFunction> cost_function(
new AutoDiffCostFunction<QuadraticCostFunction, 1, 1>(
new QuadraticCostFunction));
Problem::Options problem_options;
problem_options.cost_function_ownership = DO_NOT_TAKE_OWNERSHIP;
Problem problem(problem_options);
problem.AddResidualBlock(cost_function.get(), NULL, &x);
Solver::Options options;
options.linear_solver_type = DENSE_QR;
RememberingCallback callback(&x);
options.callbacks.push_back(&callback);
Solver::Summary summary;
int num_iterations;
// First try: no updating.
SolverImpl::Solve(options, &problem, &summary);
num_iterations = summary.num_successful_steps +
summary.num_unsuccessful_steps;
EXPECT_GT(num_iterations, 1);
for (int i = 0; i < callback.x_values.size(); ++i) {
EXPECT_EQ(50.0, callback.x_values[i]);
}
// Second try: with updating
x = 50.0;
options.update_state_every_iteration = true;
callback.x_values.clear();
SolverImpl::Solve(options, &problem, &summary);
num_iterations = summary.num_successful_steps +
summary.num_unsuccessful_steps;
EXPECT_GT(num_iterations, 1);
EXPECT_EQ(original_x, callback.x_values[0]);
EXPECT_NE(original_x, callback.x_values[1]);
}
} // namespace internal
} // namespace ceres
+2 -2
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@@ -500,8 +500,8 @@ TEST(SystemTest, BundleAdjustmentProblem) {
#endif // CERES_NO_SUITESPARSE
#ifndef CERES_NO_CXSPARSE
CONFIGURE(SPARSE_SCHUR, CX_SPARSE, USER, IDENTITY, 1);
CONFIGURE(SPARSE_SCHUR, CX_SPARSE, SCHUR, IDENTITY, 1);
CONFIGURE(SPARSE_SCHUR, CX_SPARSE, USER, IDENTITY, 1);
CONFIGURE(SPARSE_SCHUR, CX_SPARSE, SCHUR, IDENTITY, 1);
#endif // CERES_NO_CXSPARSE
CONFIGURE(DENSE_SCHUR, SUITE_SPARSE, USER, IDENTITY, 1);
+2 -3
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@@ -59,7 +59,6 @@ const double kEpsilon = 1e-12;
// the callbacks does not return SOLVER_CONTINUE, then stop and return
// its status.
CallbackReturnType TrustRegionMinimizer::RunCallbacks(
const Minimizer::Options& options_,
const IterationSummary& iteration_summary) {
for (int i = 0; i < options_.callbacks.size(); ++i) {
const CallbackReturnType status =
@@ -219,7 +218,7 @@ void TrustRegionMinimizer::Minimize(const Minimizer::Options& options,
summary->iterations.push_back(iteration_summary);
// Call the various callbacks.
switch (RunCallbacks(options_, iteration_summary)) {
switch (RunCallbacks(iteration_summary)) {
case SOLVER_TERMINATE_SUCCESSFULLY:
summary->termination_type = USER_SUCCESS;
VLOG(1) << "Terminating: User callback returned USER_SUCCESS.";
@@ -441,7 +440,7 @@ void TrustRegionMinimizer::Minimize(const Minimizer::Options& options,
summary->preprocessor_time_in_seconds;
summary->iterations.push_back(iteration_summary);
switch (RunCallbacks(options_, iteration_summary)) {
switch (RunCallbacks(iteration_summary)) {
case SOLVER_TERMINATE_SUCCESSFULLY:
summary->termination_type = USER_SUCCESS;
VLOG(1) << "Terminating: User callback returned USER_SUCCESS.";
+1 -2
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@@ -53,8 +53,7 @@ class TrustRegionMinimizer : public Minimizer {
private:
void Init(const Minimizer::Options& options);
void EstimateScale(const SparseMatrix& jacobian, double* scale) const;
CallbackReturnType RunCallbacks(const Minimizer::Options& options,
const IterationSummary& iteration_summary);
CallbackReturnType RunCallbacks(const IterationSummary& iteration_summary);
bool MaybeDumpLinearLeastSquaresProblem( const int iteration,
const SparseMatrix* jacobian,
const double* residuals,