150 lines
5.4 KiB
C++
150 lines
5.4 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: layer_dense.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 dense layers 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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//---------------------------------------------------------------------------------------------------------------------------
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// DEFINE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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//---------------------------------------------------------------------------------------------------------------------------
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// TYPE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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//---------------------------------------------------------------------------------------------------------------------------
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// Type Name : panic::neural_network::layer_dense
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//
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// Description:
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// A dense layer to use in neural networks
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//
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// Member Variables:
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// length panic::uint_t
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// Number of elements in the vector.
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//
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// data panic::real_t*
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// Pointer to the allocated vector data.
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//
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// Notes:
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// This vector uses dynamic allocation with new[] and delete[].
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// Copying performs a deep copy.
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//---------------------------------------------------------------------------------------------------------------------------
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namespace panic{
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namespace tensor{
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template <typename T>
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struct vector{
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panic::uint_t length;
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T* data;
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// empty contructor
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vector();
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// contructor with size allocation
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vector(panic::uint_t size);
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// contructor with size allocation and sets it all to a value
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vector(panic::uint_t size, T value);
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// copy-contructor
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// vector a(3);
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// vector b = a;
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vector(const vector& other);
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// de-contructor, releases memory
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~vector();
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// copy-assignment
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//vector a(5);
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//vector b(3);
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//b = a;
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vector& operator=(const vector& other);
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// function returns size.
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// const tells compiler that the fuction don't edit the objert.
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panic::uint_t size() const;
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// function to resize data vector (I need a new that don't save the vlaues)
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bool resize(panic::uint_t new_size);
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// fill data with value
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bool fill(T value);
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// lets you read and write v[index]
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T& operator[](panic::uint_t index);
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// lets you read v[index] from a const vector
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const T& operator[](panic::uint_t index) const;
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// lets you read and write v.at(index)
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T& at(panic::uint_t index);
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// lets you read v.at(index) from a const vector
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const T& at(panic::uint_t index) const;
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};
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//---------------------------------------------------------------------------------------------------------------------------
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// TYPE ALIASES
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//---------------------------------------------------------------------------------------------------------------------------
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typedef vector<panic::real_t> real_vector;
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typedef vector<panic::int_t> int_vector;
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typedef vector<panic::uint_t> uint_vector;
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//---------------------------------------------------------------------------------------------------------------------------
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// EXPLICIT TEMPLATE DECLARATION
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//---------------------------------------------------------------------------------------------------------------------------
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extern template struct vector<panic::real_t>;
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extern template struct vector<panic::int_t>;
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extern template struct vector<panic::uint_t>;
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} // namespace tensor
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} // namespace panic
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//---------------------------------------------------------------------------------------------------------------------------
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// VARIABLE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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//---------------------------------------------------------------------------------------------------------------------------
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// FUNCTION PROTOTYPE
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//---------------------------------------------------------------------------------------------------------------------------
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