329 lines
11 KiB
C++
329 lines
11 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.cpp
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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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//---------------------------------------------------------------------------------------------------------------------------
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// INCLUDE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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#include <tensor/vector.hpp>
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#include <config/omp.hpp>
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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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// VARIABLE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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static const panic::uint_t vector_omp_min_size = 10000;
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//---------------------------------------------------------------------------------------------------------------------------
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// FUNCTION PROTOTYPE
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//---------------------------------------------------------------------------------------------------------------------------
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namespace panic{
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namespace tensor{
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//--------------------------------------------------------------------------------------------------------------------------
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// Constructor Name : panic::tensor::vector::vector
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//
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// Description:
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// Creates an empty vector.
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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vector<T>::vector() {
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length = 0;
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data = 0;
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Constructor Name : panic::tensor::vector::vector
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//
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// Description:
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// Creates a vector with size allocation and initializes all values to zero.
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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vector<T>::vector(panic::uint_t size){
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length = size;
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if (length == 0){
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data = 0;
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return;
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}
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data = new T[length];
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PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
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for (panic::uint_t i = 0; i < size; ++i){
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data[i] = static_cast<T>(0);
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}
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Constructor Name : panic::tensor::vector::vector
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//
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// Description:
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// Creates a vector with size allocation and initializes all values.
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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vector<T>::vector(panic::uint_t size, T value){
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length = size;
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if (size == 0){
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data = 0;
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return;
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}
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data = new T[size];
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PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
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for (panic::uint_t i = 0; i < size; ++i){
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data[i] = value;
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}
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Constructor Name : panic::tensor::vector::vector
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//
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// Description:
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// Copy-contructor, makes a deep copy of another vector like this:
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// vector a(3);
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// vector b = a;
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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vector<T>::vector(const vector& other){
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length = other.length;
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if (length == 0){
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data = 0;
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return;
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}
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data = new T[length];
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PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
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for (panic::uint_t i = 0; i < length; ++i){
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data[i] = other.data[i];
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}
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Deconstructor Name : panic::tensor::vector::~vector
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//
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// Description:
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// Deletes the data and releases the memory.
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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vector<T>::~vector(){
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delete[] data;
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data = 0;
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length = 0;
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::operator=
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//
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// Description:
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// Copy-assignment. Copies from another vector like this:
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// vector a(5);
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// vector b(3);
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// b = a;
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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vector<T>& vector<T>::operator=(const vector& other){
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if (this == &other){
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return *this;
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}
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T* new_data = 0;
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if (other.length > 0){
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new_data = new T[other.length];
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PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
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for (panic::uint_t i = 0; i < other.length; ++i){
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new_data[i] = other.data[i];
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}
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}
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delete[] data;
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data = new_data;
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length = other.length;
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return *this;
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::resize
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//
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// Description:
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// Returns the length/size of the vector
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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panic::uint_t vector<T>::size() const{
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return length;
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::resize
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//
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// Description:
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// Resizes the vector to new length and keeps old values
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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bool vector<T>::resize(panic::uint_t new_size){
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if (new_size == length){
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return true;
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}
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if (new_size == 0){
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data = 0;
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length = 0;
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return true;
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}
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T* new_data = new T[new_size];
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panic::uint_t copy_size = length;
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if (new_size < length){
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copy_size = new_size;
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}
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PANIC_OMP_PARALLEL_FOR_IF(copy_size > vector_omp_min_size)
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for (panic::uint_t i = 0; i < copy_size; ++i){
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new_data[i] = data[i];
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}
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PANIC_OMP_PARALLEL_FOR_IF(copy_size - new_size > vector_omp_min_size)
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for (panic::uint_t i = copy_size; i < new_size; ++i){
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new_data[i] = static_cast<T>(0);
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}
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delete[] data;
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data = new_data;
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length = new_size;
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return true;
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::fill
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//
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// Description:
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// Fills te vector with a value
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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bool vector<T>::fill(T value){
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PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
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for (panic::uint_t i = 0; i < length; ++i){
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data[i] = value;
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}
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return true;
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::operator[]
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//
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// Description:
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// Lets you read and write v[index]
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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T& vector<T>::operator[](panic::uint_t index){
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return data[index];
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::operator[]
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//
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// Description:
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// Lets you read v[index] from a const vector
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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const T& vector<T>::operator[](panic::uint_t index) const{
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return data[index];
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::at
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//
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// Description:
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// Lets you read and write v.at(index) with index bounse
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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T& vector<T>::at(panic::uint_t index){
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if (index >= length){
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return data[length-1];
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}
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return data[index];
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}
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//--------------------------------------------------------------------------------------------------------------------------
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// Function Name : panic::tensor::vector::at
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//
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// Description:
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// Lets you read v[index] from a const vector with index bounse
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//--------------------------------------------------------------------------------------------------------------------------
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template <typename T>
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const T& vector<T>::at(panic::uint_t index) const{
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if (index >= length){
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return data[length-1];
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}
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return data[index];
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}
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//---------------------------------------------------------------------------------------------------------------------------
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// EXPLICIT TEMPLATE INSTANTIATION
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//---------------------------------------------------------------------------------------------------------------------------
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template struct vector<panic::real_t>;
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template struct vector<panic::int_t>;
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template struct vector<panic::uint_t>;
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} // namespace tensor
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} // namespace panic
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