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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2018 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.
//
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//
// Authors: sameeragarwal@google.com (Sameer Agarwal)
//#define EIGEN_DONT_VECTORIZE
#include <memory>
#include "benchmark/benchmark.h"
#include "ceres/ceres.h"
#include "snavely_reprojection_error.h"
#include "test_utils.h"
namespace ceres {
static void BM_BAAutoDiff(benchmark::State& state) {
using FunctorType =
ceres::internal::CostFunctionToFunctor<test::SnavelyReprojectionErrorGen>;
double parameter_block1[] = {1., 2., 3., 4., 5., 6., 7., 8., 9.};
double parameter_block2[] = {1., 2., 3.};
double* parameters[] = {parameter_block1, parameter_block2};
double jacobian1[2 * 9];
double jacobian2[2 * 3];
double residuals[2];
double* jacobians[] = {jacobian1, jacobian2};
const double x = 0.2;
const double y = 0.3;
std::unique_ptr<ceres::CostFunction> cost_function(
new ceres::AutoDiffCostFunction<FunctorType, 2, 9, 3>(
new FunctorType(x, y)));
while (state.KeepRunning()) {
cost_function->Evaluate(
parameters, residuals, state.range(0) ? jacobians : nullptr);
}
}
static void BM_BACodeGen(benchmark::State& state) {
double parameter_block1[] = {1., 2., 3., 4., 5., 6., 7., 8., 9.};
double parameter_block2[] = {1., 2., 3.};
double* parameters[] = {parameter_block1, parameter_block2};
double jacobian1[2 * 9];
double jacobian2[2 * 3];
double residuals[2];
double* jacobians[] = {jacobian1, jacobian2};
const double x = 0.2;
const double y = 0.3;
std::unique_ptr<ceres::CostFunction> cost_function(
new test::SnavelyReprojectionErrorGen(x, y));
while (state.KeepRunning()) {
cost_function->Evaluate(
parameters, residuals, state.range(0) ? jacobians : nullptr);
}
}
BENCHMARK(BM_BAAutoDiff)->ArgName("Residual")->Arg(0);
BENCHMARK(BM_BAAutoDiff)->ArgName("Residual+Jacobian")->Arg(1);
BENCHMARK(BM_BACodeGen)->ArgName("Residual")->Arg(0);
BENCHMARK(BM_BACodeGen)->ArgName("Residual+Jacobian")->Arg(1);
} // namespace ceres
BENCHMARK_MAIN();