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>
52 lines
1.8 KiB
C++
52 lines
1.8 KiB
C++
/**
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* @file wta.cpp
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* @brief Functions for Winner Takes All implementation.
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* @kaspersky_support D. Postnikov
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* @date 03.07.2025
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* @license Apache 2.0
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* @copyright © 2025 AO Kaspersky Lab
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <knp/framework/monitoring/observer.h>
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#include <knp/framework/projection/wta.h>
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#include <knp/framework/sonata/network_io.h>
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#include <knp/synapse-traits/all_traits.h>
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namespace knp::framework::projection
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{
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std::vector<knp::core::UID> add_wta_handlers(
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knp::framework::ModelExecutor& executor, size_t winners_amount, std::vector<size_t> const& borders,
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std::vector<std::pair<std::vector<knp::core::UID>, std::vector<knp::core::UID>>> const& wta_data)
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{
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std::vector<knp::core::UID> result;
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// Generating seed for WTA randomness
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std::mt19937 rand_gen(std::random_device{}());
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std::uniform_int_distribution<int> distr(-std::numeric_limits<int>::max(), std::numeric_limits<int>::max());
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for (const auto& senders_receivers : wta_data)
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{
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knp::core::UID handler_uid;
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executor.add_spike_message_handler(
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knp::framework::modifier::KWtaPerGroup{borders, winners_amount, distr(rand_gen)}, senders_receivers.first,
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senders_receivers.second, handler_uid);
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result.push_back(handler_uid);
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}
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return result;
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}
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} // namespace knp::framework::projection
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