85 lines
2.7 KiB
C++
85 lines
2.7 KiB
C++
/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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*
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* PANIC
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* Portable Algorithms and Numerics In C++
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*
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* Scientific computing from scratch, with feeling.
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*
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* Copyright (c) 2026 Michelle Bausager
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*
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* This file is part of PANIC.
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*
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* PANIC is free software licensed under the GNU General Public License v3.0 or later.
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* You may redistribute and/or modify it under the terms of the GPL.
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*
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* PANIC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
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* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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* See the LICENSE file for the full license text.
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*
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* SPDX-License-Identifier: GPL-3.0-or-later
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*
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*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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*
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* Project Name: PANIC
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* Module Name: neural_network
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* File Name: optimizer.hpp
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* Revision: 0.1.0
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* Date: 23-06-2026
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* Author: Michelle Bausager
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*
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* Description:
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* Defines the base optimizer struct used in neural network
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*
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*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
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#pragma once
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//---------------------------------------------------------------------------------------------------------------------------
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// INCLUDE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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#include <config/types.hpp> // panic::uint_t, panic::int_t, and panic::real_t
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#include <neural_network/layer/trainable_layer.hpp>
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namespace panic{
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namespace neural_network{
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/**
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* @brief Base optimizer for the rest of the neural network library to use
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*
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* This base optimizer should be used in neural networks
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* This is done so it's easy to optimize the trainable layers in the model to loop over.
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* The virtual means it should use derived object's version when called with a pointer.
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* The =0 means the derivative object NEEDS to have these functions to work.
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*
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* The struct is used for PANIC neural_network library.
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*/
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struct optimizer{
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/**
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* @brief Default de-constructor
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*
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*/
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virtual ~optimizer() = default;
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/**
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* @brief Virtual forward function for derivative layers
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*
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* @param inputs Data matrix input for forward function.
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*
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* @Note It's equal to 0 because it make the derivative
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* object NEEDS to have these function to work.
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*/
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virtual bool update_params(trainable_layer& layer) = 0;
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};
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} // namespace tensor
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} // namespace panic
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