Files
Jungfraujoch/tools/JFCalibrationPerfTest.cpp
Filip Leonarski 1757d42182 Initial commit
Signed-off-by: Filip Leonarski <filip.leonarski@psi.ch>
2023-04-06 11:17:59 +02:00

160 lines
6.1 KiB
C++

// Copyright (2019-2022) Paul Scherrer Institute
// SPDX-License-Identifier: GPL-3.0-or-later
#include <random>
#include <iostream>
#include <iomanip>
#include "../jungfrau/JFPedestalCalc.h"
#include "../common/Logger.h"
#include "../jungfrau/JFCalibration.h"
#include "../jungfrau/JFConversionFloatingPoint.h"
#include "../jungfrau/JFConversionFixedPoint.h"
#include "../tests/FPGAUnitTest.h"
void test_pedestal(Logger &logger) {
size_t nframes = 5000;
DiffractionExperiment x(1,{1});
std::vector<uint16_t> data(nframes * RAW_MODULE_SIZE);
x.Mode(DetectorMode::Conversion);
double mean = 1000.0;
double stddev = 50.0;
// Predictable random number generator
std::mt19937 g1(5423);
std::normal_distribution<double> distribution(mean, stddev);
for (size_t i = 0; i < nframes * RAW_MODULE_SIZE; i++) {
double number = distribution(g1);
if (number < 20) number = 20;
if (number > 16300) number = 16300;
data[i] = number;
}
JFPedestalCalc calc_cpu(x);
auto start_time = std::chrono::system_clock::now();
for (int i = 0; i < nframes; i++)
calc_cpu.AnalyzeImage(data.data() + i * RAW_MODULE_SIZE);
auto end_time = std::chrono::system_clock::now();
auto elapsed = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
logger.Info("CPU pedestal performance: {:5d} us/module {:5.2f} GB/s", std::lround(elapsed.count() / ((double) nframes)),
nframes * RAW_MODULE_SIZE * sizeof(uint16_t) * 1000 * 1000/ ((double) elapsed.count() * 1024 * 1024 * 1024));
}
template <class T> void test_conversion(Logger &logger) {
size_t nframes = 128;
int64_t nmodules = 8;
int64_t ntries = 8;
DiffractionExperiment x(1,{nmodules});
std::vector<uint16_t> input(nframes * nmodules * RAW_MODULE_SIZE);
std::vector<int16_t> output(nframes * nmodules * RAW_MODULE_SIZE);
for (int i = 0; i < nmodules * nframes; i++) {
std::string image_path = "../../tests/test_data/mod5_raw" + std::to_string(i % 20) + ".bin";
LoadBinaryFile(image_path, input.data() + i * RAW_MODULE_SIZE, RAW_MODULE_SIZE);
}
std::vector<T> v(nmodules);
JFModuleGainCalibration gain_calib = GainCalibrationFromTestFile();
for (int m = 0; m < nmodules; m++) {
JFModulePedestal pedestal_g0;
JFModulePedestal pedestal_g1;
JFModulePedestal pedestal_g2;
for (int i = 0; i < RAW_MODULE_SIZE; i++) {
pedestal_g0.GetPedestal()[i] = 3000 + i % 50 + m * 135;
pedestal_g1.GetPedestal()[i] = 15000 + i % 50 - m * 135;
pedestal_g2.GetPedestal()[i] = 14000 + i % 50 - m * 135;
}
v[m].Setup(gain_calib, pedestal_g0, pedestal_g1, pedestal_g2, 12.4);
}
x.Mode(DetectorMode::Conversion);
logger.Info("JF FP conversion input prepared");
auto start_time = std::chrono::system_clock::now();
for (int z = 0; z < ntries; z++) {
for (int i = 0; i < nframes; i++) {
for (int m = 0; m < nmodules; m++) {
v[m].Convert(output.data() + (i * nmodules + m) * RAW_MODULE_SIZE,
input.data() + (i * nmodules + m) * RAW_MODULE_SIZE);
}
}
}
auto end_time = std::chrono::system_clock::now();
auto elapsed = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
logger.Info("Conversion performance: {:5d} us/module {:5.2f} GB/s", std::lround(elapsed.count() / ((double) (ntries * nframes * nmodules))),
ntries * nframes * nmodules * RAW_MODULE_SIZE * sizeof(uint16_t) * 1000 * 1000/ ((double) elapsed.count() * 1024 * 1024 * 1024));
}
template <class T> void test_conversion_with_geom(Logger &logger) {
size_t nframes = 128;
int64_t nmodules = 8;
int64_t ntries = 8;
DiffractionExperiment x(1,{nmodules});
std::vector<uint16_t> input(nframes * nmodules * RAW_MODULE_SIZE);
std::vector<int16_t> output(nframes * nmodules * CONVERTED_MODULE_SIZE);
for (int i = 0; i < nmodules * nframes; i++) {
std::string image_path = "../../tests/test_data/mod5_raw" + std::to_string(i % 20) + ".bin";
LoadBinaryFile(image_path, input.data() + i * RAW_MODULE_SIZE, RAW_MODULE_SIZE);
}
std::vector<T> v(nmodules);
JFModuleGainCalibration gain_calib = GainCalibrationFromTestFile();
for (int m = 0; m < nmodules; m++) {
JFModulePedestal pedestal_g0;
JFModulePedestal pedestal_g1;
JFModulePedestal pedestal_g2;
for (int i = 0; i < RAW_MODULE_SIZE; i++) {
pedestal_g0.GetPedestal()[i] = 3000 + i % 50 + m * 135;
pedestal_g1.GetPedestal()[i] = 15000 + i % 50 - m * 135;
pedestal_g2.GetPedestal()[i] = 14000 + i % 50 - m * 135;
}
v[m].Setup(gain_calib, pedestal_g0, pedestal_g1, pedestal_g2, 12.4);
}
x.Mode(DetectorMode::Conversion);
logger.Info("JF FP conversion input prepared");
auto start_time = std::chrono::system_clock::now();
for (int z = 0; z < ntries; z++) {
for (int i = 0; i < nframes; i++) {
for (int m = 0; m < nmodules; m++) {
v[m].ConvertAdjustGeom(output.data() + (i * nmodules + m) * CONVERTED_MODULE_SIZE,
input.data() + (i * nmodules + m) * RAW_MODULE_SIZE, 1);
}
}
}
auto end_time = std::chrono::system_clock::now();
auto elapsed = std::chrono::duration_cast<std::chrono::microseconds>(end_time - start_time);
logger.Info("Conversion performance: {:5d} us/module {:5.2f} GB/s", std::lround(elapsed.count() / ((double) (ntries * nframes * nmodules))),
ntries * nframes * nmodules * RAW_MODULE_SIZE * sizeof(uint16_t) * 1000 * 1000/ ((double) elapsed.count() * 1024 * 1024 * 1024));
}
int main () {
Logger logger("JFCalibrationPerfTest");
test_pedestal(logger);
logger.Info("Floating point conversion");
test_conversion<JFConversionFloatingPoint>(logger);
logger.Info("Fixed point conversion");
test_conversion<JFConversionFixedPoint>(logger);
logger.Info("Fixed point conversion (with geom)");
test_conversion_with_geom<JFConversionFixedPoint>(logger);
}