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// Copyright 2016, Tobias Hermann.
// https://github.com/Dobiasd/frugally-deep
// Distributed under the MIT License.
// (See accompanying LICENSE file or at
// https://opensource.org/licenses/MIT)
#include "fdeep/fdeep.hpp"
int main()
{
std::vector<std::string> model_paths = {
// "convnextbase.json",
// "convnextlarge.json",
// "convnextsmall.json",
// "convnexttiny.json",
// "convnextxlarge.json",
"densenet121.json",
"densenet169.json",
"densenet201.json",
"efficientnetb0.json",
"efficientnetb1.json",
"efficientnetb2.json",
"efficientnetb3.json",
"efficientnetb4.json",
"efficientnetb5.json",
"efficientnetb6.json",
"efficientnetb7.json",
"efficientnetv2b0.json",
"efficientnetv2b1.json",
"efficientnetv2b2.json",
"efficientnetv2b3.json",
"efficientnetv2l.json",
"efficientnetv2m.json",
"efficientnetv2s.json",
// "inceptionresnetv2.json",
"inceptionv3.json",
"mobilenet.json",
"mobilenetv2.json",
"nasnetlarge.json",
"nasnetmobile.json",
"resnet101.json",
"resnet101v2.json",
"resnet152.json",
"resnet152v2.json",
"resnet50.json",
"resnet50v2.json",
"vgg16.json",
"vgg19.json",
"xception.json"
};
bool error = false;
for (const auto& model_path : model_paths) {
std::cout << "----" << std::endl;
std::cout << model_path << std::endl;
#ifdef NDEBUG
try {
const auto model = fdeep::load_model(model_path, true);
const std::size_t warm_up_runs = 3;
const std::size_t test_runs = 5;
for (std::size_t i = 0; i < warm_up_runs; ++i) {
const double duration = model.test_speed();
std::cout << "Forward pass took "
<< duration << " s." << std::endl;
}
double duration_sum = 0;
std::cout << "Starting performance measurements." << std::endl;
for (std::size_t i = 0; i < test_runs; ++i) {
const double duration = model.test_speed();
duration_sum += duration;
std::cout << "Forward pass took "
<< duration << " s." << std::endl;
}
const double duration_avg = duration_sum / static_cast<double>(test_runs);
std::cout << "Forward pass took "
<< duration_avg << " s on average." << std::endl;
} catch (const std::exception& e) {
std::cerr << "ERROR: " << e.what() << std::endl;
error = true;
}
#else
const auto model = fdeep::load_model(model_path, true);
#endif
}
if (error) {
std::cout << "There were errors." << std::endl;
return 1;
}
std::cout << "All imports and test OK." << std::endl;
}
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