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>
83 lines
2.2 KiB
Text
83 lines
2.2 KiB
Text
/**
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* @file population.cuh
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* @brief CUDA popualtion class.
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* @kaspersky_support Artiom N.
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* @date 24.02.2025
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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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#pragma once
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#include <knp/core/population.h>
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#include <knp/neuron-traits/all_traits.h>
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#include "cuda_lib/vector.cuh"
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#include "uid.cuh"
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#include "cuda_bus/messaging.cuh"
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/**
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* @brief Namespace for single-threaded backend.
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*/
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namespace knp::backends::gpu::cuda
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{
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/**
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* @brief The CUDAPopulation class is a definition of a CUDA neurons population.
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*/
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template <typename NeuronType>
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struct CUDAPopulation
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{
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/**
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* @brief Type of the population neurons.
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*/
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using PopulationNeuronType = NeuronType;
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/**
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* @brief Population of neurons with the specified neuron type.
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*/
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using PopulationType = CUDAPopulation<NeuronType>;
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/**
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* @brief Neuron parameters and their values for the specified neuron type.
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*/
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using NeuronParameters = ::knp::neuron_traits::neuron_parameters<NeuronType>;
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CUDAPopulation() = default;
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//#if !defined(__CUDA_ARCH__)
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/**
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* @brief Constructor.
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* @param population source population.
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*/
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__host__ explicit CUDAPopulation(const knp::core::Population<NeuronType> &population)
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: uid_{to_gpu_uid(population.get_uid())},
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neurons_{population.get_neurons_parameters()}
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{
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}
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//#endif
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__host__ __device__ void actualize() { neurons_.actualize(); }
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/**
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* @brief UID.
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*/
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cuda::UID uid_;
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/**
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* @brief Neurons.
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*/
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cuda::device_lib::CUDAVector<NeuronParameters> neurons_;
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};
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} // namespace knp::backends::gpu::cuda
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