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#include <chrono>
#include <benchmark/benchmark.h>
#include "benchmarks/utilities.h"
#include "purify/operators_gpu.h"
using namespace purify;
// -------------- Constructor benchmark -------------------------//
void degrid_operator_ctor(benchmark::State &state) {
// Generating random uv(w) coverage
t_int const rows = state.range(0);
t_int const cols = state.range(0);
t_int const number_of_vis = state.range(1);
auto uv_data = b_utilities::random_measurements(number_of_vis);
const t_real FoV = 1; // deg
const t_real cellsize = FoV / cols * 60. * 60.;
const bool w_term = false;
// benchmark the creation of measurement operator
while (state.KeepRunning()) {
auto start = std::chrono::high_resolution_clock::now();
#ifdef PURIFY_CPU
auto sky_measurements = measurementoperator::init_degrid_operator_2d<Vector<t_complex>>(
uv_data, rows, cols, cellsize, cellsize, 2, kernels::kernel::kb, state.range(2),
state.range(2), w_term);
#else
auto sky_measurements = gpu::measurementoperator::init_degrid_operator_2d(
uv_data, rows, cols, cellsize, cellsize, 2, kernels::kernel::kb, state.range(2),
state.range(2), w_term);
#endif
auto end = std::chrono::high_resolution_clock::now();
state.SetIterationTime(b_utilities::duration(start, end));
}
state.SetBytesProcessed(int64_t(state.iterations()) * (number_of_vis + rows * cols) *
sizeof(t_complex));
}
/*
BENCHMARK(degrid_operator_ctor)
//->Apply(b_utilities::Arguments)
->Args({128, 1000, 4})
// ->Args({128, 1000, 4})
->UseManualTime()
->Repetitions(10)
->ReportAggregatesOnly(true)
->Unit(benchmark::kMillisecond);
*/
// ----------------- Application benchmarks -----------------------//
class DegridOperatorFixture : public ::benchmark::Fixture {
public:
void SetUp(const ::benchmark::State &state) {
af::setDevice(0);
af::setBackend(AF_BACKEND_CUDA);
// Keep count of the benchmark repetitions
m_counter++;
// Reading image from file and create temporary image
bool newImage = updateImage(state.range(0));
// Generating random uv(w) coverage
bool newMeasurements = b_utilities::updateMeasurements(state.range(1), m_uv_data);
// Create measurement operator
bool newKernel = m_kernel != state.range(2);
if (newImage || newMeasurements || newKernel) {
const t_real FoV = 1; // deg
const t_real cellsize = FoV / m_imsizex * 60. * 60.;
const bool w_term = false;
m_kernel = state.range(2);
#ifdef PURIFY_CPU
m_degridOperator = measurementoperator::init_degrid_operator_2d<Vector<t_complex>>(
m_uv_data, m_imsizey, m_imsizex, cellsize, cellsize, 2, kernels::kernel::kb, m_kernel,
m_kernel, w_term);
#else
m_degridOperator = gpu::measurementoperator::init_degrid_operator_2d(
m_uv_data, m_imsizey, m_imsizex, cellsize, cellsize, 2, kernels::kernel::kb, m_kernel,
m_kernel, w_term);
#endif
}
}
void TearDown(const ::benchmark::State &state) {}
virtual bool updateImage(t_uint newSize) = 0;
t_uint m_counter;
t_uint m_imsizex;
t_uint m_imsizey;
utilities::vis_params m_uv_data;
t_uint m_kernel;
std::shared_ptr<sopt::LinearTransform<Vector<t_complex>> const> m_degridOperator;
};
class DegridOperatorDirectFixture : public DegridOperatorFixture {
public:
virtual bool updateImage(t_uint newSize) {
return b_utilities::updateImage(newSize, m_image, m_imsizex, m_imsizey);
}
Image<t_complex> m_image;
};
class DegridOperatorAdjointFixture : public DegridOperatorFixture {
public:
virtual bool updateImage(t_uint newSize) {
return b_utilities::updateEmptyImage(newSize, m_image, m_imsizex, m_imsizey);
}
Vector<t_complex> m_image;
};
BENCHMARK_DEFINE_F(DegridOperatorDirectFixture, Apply)(benchmark::State &state) {
// Benchmark the application of the operator
if ((m_counter % 10) == 1) {
m_uv_data.vis = (*m_degridOperator) * Image<t_complex>::Map(m_image.data(), m_image.size(), 1);
}
while (state.KeepRunning()) {
auto start = std::chrono::high_resolution_clock::now();
m_uv_data.vis = (*m_degridOperator) * Image<t_complex>::Map(m_image.data(), m_image.size(), 1);
auto end = std::chrono::high_resolution_clock::now();
state.SetIterationTime(b_utilities::duration(start, end));
}
state.SetBytesProcessed(int64_t(state.iterations()) * (state.range(1) + m_imsizey * m_imsizex) *
sizeof(t_complex));
}
BENCHMARK_DEFINE_F(DegridOperatorAdjointFixture, Apply)(benchmark::State &state) {
// Benchmark the application of the adjoint operator
if ((m_counter % 10) == 1) {
m_image = m_degridOperator->adjoint() * m_uv_data.vis;
}
while (state.KeepRunning()) {
auto start = std::chrono::high_resolution_clock::now();
m_image = m_degridOperator->adjoint() * m_uv_data.vis;
auto end = std::chrono::high_resolution_clock::now();
state.SetIterationTime(b_utilities::duration(start, end));
}
state.SetBytesProcessed(int64_t(state.iterations()) * (state.range(1) + m_imsizey * m_imsizex) *
sizeof(t_complex));
}
BENCHMARK_REGISTER_F(DegridOperatorDirectFixture, Apply)
//->Apply(b_utilities::Arguments)
->Args({256, 500000, 4})
->Args({512, 500000, 4})
->Args({1024, 500000, 4})
->Args({2048, 500000, 4})
// ->Args({4096, 100000, 4})
->UseManualTime()
->Repetitions(10)
->ReportAggregatesOnly(true)
->Unit(benchmark::kMillisecond);
BENCHMARK_REGISTER_F(DegridOperatorAdjointFixture, Apply)
//->Apply(b_utilities::Arguments)
->Args({256, 500000, 4})
->Args({512, 500000, 4})
->Args({1024, 500000, 4})
->Args({2048, 500000, 4})
// ->Args({4096, 100000, 4})
->UseManualTime()
->Repetitions(10)
->ReportAggregatesOnly(true)
->Unit(benchmark::kMillisecond);
BENCHMARK_MAIN();
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