Created first files for neural networks, empthy

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2026-06-23 21:22:42 +02:00
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/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*
* PANIC
* Portable Algorithms and Numerics In C++
*
* Scientific computing from scratch, with feeling.
*
* Copyright (c) 2026 Michelle Bausager
*
* This file is part of PANIC.
*
* PANIC is free software licensed under the GNU General Public License v3.0 or later.
* You may redistribute and/or modify it under the terms of the GPL.
*
* PANIC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the LICENSE file for the full license text.
*
* SPDX-License-Identifier: GPL-3.0-or-later
*
*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*
* Project Name: PANIC
* Module Name: neural_network
* File Name: layer_dense.cpp
* Revision: 0.1.0
* Date: 23-06-2026
* Author: Michelle Bausager
*
* Description:
* Defines the dense layers used in neural network
*
*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
//---------------------------------------------------------------------------------------------------------------------------
// INCLUDE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
#include <tensor/vector.hpp>
#include <config/omp.hpp>
//---------------------------------------------------------------------------------------------------------------------------
// DEFINE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------
// TYPE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------
// VARIABLE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
static const panic::uint_t vector_omp_min_size = 10000;
//---------------------------------------------------------------------------------------------------------------------------
// FUNCTION PROTOTYPE
//---------------------------------------------------------------------------------------------------------------------------
namespace panic{
namespace tensor{
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::tensor::vector::vector
//
// Description:
// Creates an empty vector.
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
vector<T>::vector() {
length = 0;
data = 0;
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::tensor::vector::vector
//
// Description:
// Creates a vector with size allocation and initializes all values to zero.
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
vector<T>::vector(panic::uint_t size){
length = size;
if (length == 0){
data = 0;
return;
}
data = new T[length];
PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
for (panic::uint_t i = 0; i < size; ++i){
data[i] = static_cast<T>(0);
}
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::tensor::vector::vector
//
// Description:
// Creates a vector with size allocation and initializes all values.
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
vector<T>::vector(panic::uint_t size, T value){
length = size;
if (size == 0){
data = 0;
return;
}
data = new T[size];
PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
for (panic::uint_t i = 0; i < size; ++i){
data[i] = value;
}
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::tensor::vector::vector
//
// Description:
// Copy-contructor, makes a deep copy of another vector like this:
// vector a(3);
// vector b = a;
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
vector<T>::vector(const vector& other){
length = other.length;
if (length == 0){
data = 0;
return;
}
data = new T[length];
PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
for (panic::uint_t i = 0; i < length; ++i){
data[i] = other.data[i];
}
}
//--------------------------------------------------------------------------------------------------------------------------
// Deconstructor Name : panic::tensor::vector::~vector
//
// Description:
// Deletes the data and releases the memory.
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
vector<T>::~vector(){
delete[] data;
data = 0;
length = 0;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::operator=
//
// Description:
// Copy-assignment. Copies from another vector like this:
// vector a(5);
// vector b(3);
// b = a;
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
vector<T>& vector<T>::operator=(const vector& other){
if (this == &other){
return *this;
}
T* new_data = 0;
if (other.length > 0){
new_data = new T[other.length];
PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
for (panic::uint_t i = 0; i < other.length; ++i){
new_data[i] = other.data[i];
}
}
delete[] data;
data = new_data;
length = other.length;
return *this;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::resize
//
// Description:
// Returns the length/size of the vector
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
panic::uint_t vector<T>::size() const{
return length;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::resize
//
// Description:
// Resizes the vector to new length and keeps old values
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
bool vector<T>::resize(panic::uint_t new_size){
if (new_size == length){
return true;
}
if (new_size == 0){
data = 0;
length = 0;
return true;
}
T* new_data = new T[new_size];
panic::uint_t copy_size = length;
if (new_size < length){
copy_size = new_size;
}
PANIC_OMP_PARALLEL_FOR_IF(copy_size > vector_omp_min_size)
for (panic::uint_t i = 0; i < copy_size; ++i){
new_data[i] = data[i];
}
PANIC_OMP_PARALLEL_FOR_IF(copy_size - new_size > vector_omp_min_size)
for (panic::uint_t i = copy_size; i < new_size; ++i){
new_data[i] = static_cast<T>(0);
}
delete[] data;
data = new_data;
length = new_size;
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::fill
//
// Description:
// Fills te vector with a value
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
bool vector<T>::fill(T value){
PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
for (panic::uint_t i = 0; i < length; ++i){
data[i] = value;
}
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::operator[]
//
// Description:
// Lets you read and write v[index]
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
T& vector<T>::operator[](panic::uint_t index){
return data[index];
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::operator[]
//
// Description:
// Lets you read v[index] from a const vector
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
const T& vector<T>::operator[](panic::uint_t index) const{
return data[index];
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::at
//
// Description:
// Lets you read and write v.at(index) with index bounse
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
T& vector<T>::at(panic::uint_t index){
if (index >= length){
return data[length-1];
}
return data[index];
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::tensor::vector::at
//
// Description:
// Lets you read v[index] from a const vector with index bounse
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
const T& vector<T>::at(panic::uint_t index) const{
if (index >= length){
return data[length-1];
}
return data[index];
}
//---------------------------------------------------------------------------------------------------------------------------
// EXPLICIT TEMPLATE INSTANTIATION
//---------------------------------------------------------------------------------------------------------------------------
template struct vector<panic::real_t>;
template struct vector<panic::int_t>;
template struct vector<panic::uint_t>;
} // namespace tensor
} // namespace panic