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model.cpp/hpp

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I made the model struct to store layers. I'm still missing the backward functions, but it's functional
This commit is contained in:
Bausager
2026-07-28 19:36:26 +02:00
parent 441540a996
commit c7e87fe191
10 changed files with 552 additions and 107 deletions
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src/neural_network/layer/layer_dense.cpp
+20 -28
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@@ -24,7 +24,7 @@
* Module Name: neural_network
* File Name: layer_dense.cpp
* Revision: 0.1.0
* Date: 23-06-2026
* Date: 28-07-2026
* Author: Michelle Bausager
*
* Description:
@@ -37,25 +37,25 @@
//---------------------------------------------------------------------------------------------------------------------------
#include <neural_network/layer/layer_dense.hpp>
#include <config/omp.hpp>
#include <math/matmul.hpp>
#include <math/add.hpp>
#include <random/uniform.hpp>
//---------------------------------------------------------------------------------------------------------------------------
// DEFINE DESCRIPTION
// PRIVATE CONSTANTS
//---------------------------------------------------------------------------------------------------------------------------
/**
* @brief Minimum number of element operations before using the OpenMP-enabled loop.
*
* Small vectors and matrices are kept serial because the overhead of starting
* worker threads can be larger than the work itself.
*/
static const panic::types::uint_t layer_dense_omp_min_size = 500;
//---------------------------------------------------------------------------------------------------------------------------
// INPLEMENTATION
//---------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------
// TYPE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
//---------------------------------------------------------------------------------------------------------------------------
// VARIABLE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
static const panic::types::uint_t layer_dense_omp_min_size = 10000;
//---------------------------------------------------------------------------------------------------------------------------
// FUNCTION PROTOTYPE
//---------------------------------------------------------------------------------------------------------------------------
namespace panic{
namespace neural_network{
@@ -76,27 +76,19 @@ layer_dense::layer_dense() {
// Constructor Name : panic::neural_network::layer_dense
//
// Description:
// Creates an empty layer.
// Creates an empty layer with neurons.
//--------------------------------------------------------------------------------------------------------------------------
layer_dense::layer_dense(panic::types::uint_t input_size, panic::types::uint_t neurons) {
weights.resize(input_size, neurons);
panic::random::uniform(weights);
//panic::math::matmul(weights, 0.01f);
biases.resize(neurons);
panic::random::uniform(biases);
outputs.resize(0,0);
}
//--------------------------------------------------------------------------------------------------------------------------
// 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::neural_network::layer_dense.forward