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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>
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3.3 KiB
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94 lines
No EOL
3.3 KiB
Text
/**
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* @file projections_impl.cu
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* @brief Contains functions for projection calculation.
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* @kaspersky_support A. Vartenkov
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* @date 14.08.2025
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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 "cuda_bus/message_bus.cuh"
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#include "projection.cuh"
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#include <boost/mp11.hpp>
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#include <cuda_runtime.h>
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/**
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* @brief Namespace for CUDA backend.
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*/
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namespace knp::backends::gpu::cuda
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{
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using StepIndex = unsigned long long;
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/**
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* @brief List of synapse types supported by the CUDA backend.
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*/
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using SupportedSynapses = boost::mp11::mp_list<knp::synapse_traits::DeltaSynapse>;
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/**
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* @brief List of supported projection types based on synapse types specified in `SupportedSynapses`.
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*/
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using SupportedProjections = boost::mp11::mp_transform<CUDAProjection, SupportedSynapses>;
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template <class Projection>
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__host__ __device__ inline bool is_forcing()
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{
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// TODO: static_assert(false)
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return false;
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}
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template <>
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__host__ __device__ inline bool is_forcing<CUDAProjection<knp::synapse_traits::DeltaSynapse>>() { return true; }
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/**
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* @brief Projection variant that contains any projection type specified in `SupportedProjections`.
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* @details `ProjectionVariants` takes the value of `std::variant<ProjectionType_1,..., ProjectionType_n>`, where
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* `ProjectionType_[1..n]` is the projection type specified in `SupportedProjections`. \n
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* For example, if `SupportedProjections` contains DeltaSynapse and AdditiveSTDPSynapse types,
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* then `ProjectionVariants = std::variant<DeltaSynapse, AdditiveSTDPSynapse>`. \n
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* `ProjectionVariants` retains the same order of message types as defined in `SupportedProjections`.
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* @see ALL_SYNAPSES.
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*/
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using ProjectionVariants = boost::mp11::mp_rename<SupportedProjections, ::cuda::std::variant>;
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/**
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* @brief Calculate projection of delta synapses.
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* @note Projection will be changed during calculation.
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* @param projection projection to calculate.
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* @param message_queue message queue to send to projection for calculation.
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*/
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__host__ void calculate_projection(
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CUDAProjection<knp::synapse_traits::DeltaSynapse> &projection,
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const CUDAMessageBus &device_message_bus,
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const std::vector<device_lib::LongIndex> &message_ids,
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StepIndex step_n);
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__host__ void calculate_projection(
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CUDAProjection<knp::synapse_traits::AdditiveSTDPDeltaSynapse> &projection,
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const CUDAMessageBus &device_message_bus,
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const std::vector<device_lib::LongIndex> &message_ids,
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StepIndex step_n);
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__host__ void calculate_projection(
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CUDAProjection<knp::synapse_traits::SynapticResourceSTDPDeltaSynapse> &projection,
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const CUDAMessageBus &device_message_bus,
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const std::vector<device_lib::LongIndex> &message_ids,
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StepIndex step_n);
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} |