our_knp/cats-dogs/source/save_network.h
int 8f43927575 Initial import: KNP experiments (examples, viz, cats-dogs, reports)
examples/ is based on KasperskyLab/knp at 55470ed6 with local changes
to the mnist-learn altai/blifat models, cuda-backend CMake and model_loader.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 18:17:15 +03:00

43 lines
1.5 KiB
C++

/**
* @file save_network.h
* @brief Function for saving network.
* @kaspersky_support D. Postnikov
* @date 04.02.2026
* @license Apache 2.0
* @copyright © 2026 AO Kaspersky Lab
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include <knp/framework/sonata/network_io.h>
#include "annotated_network.h"
#include "model_desc.h"
/**
* @brief Save trained network to SONATA format if model saving is enabled.
*
* @details This function saves the trained neural network structure to the specified path in SONATA format. It automatically
* creates the target directory if it doesn't exist.
*
* @param model_desc model description.
* @param network annotated network structure containing the trained network and metadata.
*/
inline void save_network(const ModelDescription& model_desc, const AnnotatedNetwork& network)
{
std::filesystem::create_directory(model_desc.model_saving_path_);
knp::framework::sonata::save_network(network.network_, model_desc.model_saving_path_);
}