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#include "purify/config.h"
#include "purify/types.h"
#include <array>
#include <random>
#include <benchmark/benchmark.h>
#include "benchmarks/utilities.h"
#include "purify/algorithm_factory.h"
#include "purify/directories.h"
#include "purify/measurement_operator_factory.h"
#include "purify/mpi_utilities.h"
#include "purify/operators.h"
#include "purify/utilities.h"
#include "purify/uvw_utilities.h"
#include "purify/wavelet_operator_factory.h"
#include <sopt/imaging_padmm.h>
#include <sopt/mpi/communicator.h>
#include <sopt/mpi/session.h>
#include <sopt/power_method.h>
#include <sopt/relative_variation.h>
#include <sopt/utilities.h>
#include <sopt/wavelets.h>
#include <sopt/wavelets/sara.h>
#ifdef PURIFY_H5
#include "purify/h5reader.h"
#endif
using namespace purify;
class StochasticAlgoFixture : public ::benchmark::Fixture {
public:
void SetUp(const ::benchmark::State &state) {
m_imsizex = state.range(0);
m_imsizey = state.range(0);
m_sigma = 0.016820222945913496 * std::sqrt(2);
m_beta = m_sigma * m_sigma;
m_gamma = 0.0001;
m_N = state.range(1);
m_input_data_path = data_filename("expected/fb/input_data.h5");
m_world = sopt::mpi::Communicator::World();
}
void TearDown(const ::benchmark::State &state) {}
sopt::mpi::Communicator m_world;
std::string m_input_data_path;
t_uint m_imsizey;
t_uint m_imsizex;
t_real m_sigma;
t_real m_beta;
t_real m_gamma;
size_t m_N;
std::vector<std::tuple<std::string, t_uint>> const m_sara{
std::make_tuple("Dirac", 3u), std::make_tuple("DB1", 3u), std::make_tuple("DB2", 3u),
std::make_tuple("DB3", 3u), std::make_tuple("DB4", 3u), std::make_tuple("DB5", 3u),
std::make_tuple("DB6", 3u), std::make_tuple("DB7", 3u), std::make_tuple("DB8", 3u)};
};
BENCHMARK_DEFINE_F(StochasticAlgoFixture, ForwardBackward)(benchmark::State &state) {
// This functor would be defined in Purify
std::function<std::shared_ptr<sopt::IterationState<Vector<t_complex>>>()> random_updater =
[this]() {
H5::H5Handler h5file(m_input_data_path, m_world);
utilities::vis_params uv_data = H5::stochread_visibility(h5file, m_N, false);
uv_data.units = utilities::vis_units::radians;
auto phi = factory::measurement_operator_factory<Vector<t_complex>>(
factory::distributed_measurement_operator::mpi_distribute_image, uv_data, m_imsizex,
m_imsizey, 1, 1, 2, kernels::kernel_from_string.at("kb"), 4, 4);
auto const power_method_stuff = sopt::algorithm::power_method<Vector<t_complex>>(
*phi, 1000, 1e-5,
m_world.broadcast(Vector<t_complex>::Ones(m_imsizex * m_imsizey).eval()));
const t_real op_norm = std::get<0>(power_method_stuff);
phi->set_norm(op_norm);
return std::make_shared<sopt::IterationState<Vector<t_complex>>>(uv_data.vis, phi);
};
// wavelets
auto const wavelets = factory::wavelet_operator_factory<Vector<t_complex>>(
factory::distributed_wavelet_operator::serial, m_sara, m_imsizey, m_imsizex);
// algorithm
sopt::algorithm::ImagingForwardBackward<t_complex> fb(random_updater);
fb.itermax(state.range(2))
.step_size(m_beta * sqrt(2))
.sigma(m_sigma * sqrt(2))
.regulariser_strength(m_gamma)
.relative_variation(1e-3)
.residual_tolerance(0)
.tight_frame(true)
.obj_comm(m_world);
auto gp = std::make_shared<sopt::algorithm::L1GProximal<t_complex>>(false);
gp->l1_proximal_tolerance(1e-4)
.l1_proximal_nu(1)
.l1_proximal_itermax(50)
.l1_proximal_positivity_constraint(true)
.l1_proximal_real_constraint(true)
.Psi(*wavelets);
fb.g_function(gp);
PURIFY_INFO("Start iteration loop");
while (state.KeepRunning()) {
auto start = std::chrono::high_resolution_clock::now();
fb();
auto end = std::chrono::high_resolution_clock::now();
state.SetIterationTime(b_utilities::duration(start, end, m_world));
}
}
BENCHMARK_DEFINE_F(StochasticAlgoFixture, ForwardBackwardApproxNorm)(benchmark::State &state) {
// This functor would be defined in Purify
std::function<std::shared_ptr<sopt::IterationState<Vector<t_complex>>>()> random_updater =
[this]() {
H5::H5Handler h5file(m_input_data_path, m_world);
utilities::vis_params uv_data = H5::stochread_visibility(h5file, m_N, false);
uv_data.units = utilities::vis_units::radians;
auto phi = factory::measurement_operator_factory<Vector<t_complex>>(
factory::distributed_measurement_operator::mpi_distribute_image, uv_data, m_imsizex,
m_imsizey, 1, 1, 2, kernels::kernel_from_string.at("kb"), 4, 4);
// declaration of static variables to avoid recalculating the normalisation
static auto const power_method_stuff = sopt::algorithm::power_method<Vector<t_complex>>(
*phi, 1000, 1e-5,
m_world.broadcast(Vector<t_complex>::Ones(m_imsizex * m_imsizey).eval()));
static const t_real op_norm = std::get<0>(power_method_stuff);
// set the normalisation of the new phi
phi->set_norm(op_norm);
return std::make_shared<sopt::IterationState<Vector<t_complex>>>(uv_data.vis, phi);
};
// wavelets
auto const wavelets = factory::wavelet_operator_factory<Vector<t_complex>>(
factory::distributed_wavelet_operator::serial, m_sara, m_imsizey, m_imsizex);
// algorithm
sopt::algorithm::ImagingForwardBackward<t_complex> fb(random_updater);
fb.itermax(state.range(2))
.step_size(m_beta * sqrt(2))
.sigma(m_sigma * sqrt(2))
.regulariser_strength(m_gamma)
.relative_variation(1e-3)
.residual_tolerance(0)
.tight_frame(true)
.obj_comm(m_world);
auto gp = std::make_shared<sopt::algorithm::L1GProximal<t_complex>>(false);
gp->l1_proximal_tolerance(1e-4)
.l1_proximal_nu(1)
.l1_proximal_itermax(50)
.l1_proximal_positivity_constraint(true)
.l1_proximal_real_constraint(true)
.Psi(*wavelets);
fb.g_function(gp);
PURIFY_INFO("Start iteration loop");
while (state.KeepRunning()) {
auto start = std::chrono::high_resolution_clock::now();
fb();
auto end = std::chrono::high_resolution_clock::now();
state.SetIterationTime(b_utilities::duration(start, end, m_world));
}
}
BENCHMARK_REGISTER_F(StochasticAlgoFixture, ForwardBackward)
->Args({128, 10000, 10})
->UseManualTime()
->MinTime(60.0)
->MinWarmUpTime(5.0)
->Repetitions(3) //->ReportAggregatesOnly(true)
->Unit(benchmark::kMillisecond);
BENCHMARK_REGISTER_F(StochasticAlgoFixture, ForwardBackwardApproxNorm)
->Args({128, 10000, 10})
->UseManualTime()
->MinTime(60.0)
->MinWarmUpTime(5.0)
->Repetitions(3) //->ReportAggregatesOnly(true)
->Unit(benchmark::kMillisecond);
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