NeuroBook/Include/realization/arraylayers.mqh

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2025-05-30 16:12:30 +02:00
<EFBFBD><EFBFBD>//+------------------------------------------------------------------+
//| ArrayLayers.mqh |
//| Copyright 2021, MetaQuotes Ltd. |
//| https://www.mql5.com |
//+------------------------------------------------------------------+
#property copyright "Copyright 2021, MetaQuotes Ltd."
#property link "https://www.mql5.com"
//+------------------------------------------------------------------+
//| Class constants |
//+------------------------------------------------------------------+
#define ArrayLayers CArrayLayers
//+------------------------------------------------------------------+
//| Connect neural layer classes |
//+------------------------------------------------------------------+
#include <Arrays\ArrayObj.mqh>
#include "neuronbase.mqh"
#include "neuronconv.mqh"
#include "neuronlstm.mqh"
#include "neuronattention.mqh"
#include "neuronmhattention.mqh"
#include "neurondropout.mqh"
#include "neuronbatchnorm.mqh"
//+------------------------------------------------------------------+
//| Class CArrayLayers |
//| Purpose: Class of dynamic array for collection of neural layers |
//+------------------------------------------------------------------|
class CArrayLayers : public CArrayObj
{
protected:
CMyOpenCL* m_cOpenCL;
int m_iFileHandle;
public:
CArrayLayers(void): m_cOpenCL(NULL), m_iFileHandle(INVALID_HANDLE) { }
~CArrayLayers(void) { };
//---
virtual bool SetOpencl(CMyOpenCL *opencl);
virtual bool Load(const int file_handle) override;
//--- method of creating an element of array
virtual bool CreateElement(const int index) override;
virtual bool CreateElement(const int index, CLayerDescription *description);
//--- method of identifying the object
virtual int Type(void) override const { return(defArrayLayers); }
};
//+------------------------------------------------------------------+
//| GPT model uses this class to organize internal |
//| neural layers. Therefore we connect this layer after declaring |
//| the class |
//+------------------------------------------------------------------+
#include "neurongpt.mqh"
//+------------------------------------------------------------------+
//| Method for creating a dynamic array element |
//+------------------------------------------------------------------+
bool CArrayLayers::CreateElement(const int index)
{
//--- source data checking bock
if(index < 0 || m_iFileHandle==INVALID_HANDLE)
return false;
//--- reserving an array element for a new object
if(!Reserve(index + 1))
return false;
//--- read the type of the desired object from the file and create the corresponding neural layer
CNeuronBase *temp = NULL;
int type = FileReadInteger(m_iFileHandle);
switch(type)
{
case defNeuronBase:
temp = new CNeuronBase();
break;
case defNeuronConv:
temp = new CNeuronConv();
break;
case defNeuronProof:
temp = new CNeuronProof();
break;
case defNeuronLSTM:
temp = new CNeuronLSTM();
break;
case defNeuronAttention:
temp = new CNeuronAttention();
break;
case defNeuronMHAttention:
temp = new CNeuronMHAttention();
break;
case defNeuronGPT:
temp = new CNeuronGPT();
break;
case defNeuronDropout:
temp = new CNeuronDropout();
break;
case defNeuronBatchNorm:
temp = new CNeuronBatchNorm();
break;
default:
return false;
}
//--- control new object creation
if(!temp)
return false;
//--- add pointer to the created object to array
if(m_data[index])
delete m_data[index];
temp.SetOpenCL(m_cOpenCL);
m_data[index] = temp;
//---
return true;
}
//+------------------------------------------------------------------+
//| Method for creating a dynamic array element |
//+------------------------------------------------------------------+
bool CArrayLayers::CreateElement(const int index, CLayerDescription *desc)
{
//--- source data checking bock
if(index < 0 || !desc)
return false;
//--- reserving an array element for a new object
if(!Reserve(index + 1))
return false;
//--- create the corresponding neural layer
CNeuronBase *temp = NULL;
switch(desc.type)
{
case defNeuronBase:
temp = new CNeuronBase();
break;
case defNeuronConv:
temp = new CNeuronConv();
break;
case defNeuronProof:
temp = new CNeuronProof();
break;
case defNeuronLSTM:
temp = new CNeuronLSTM();
break;
case defNeuronAttention:
temp = new CNeuronAttention();
break;
case defNeuronMHAttention:
temp = new CNeuronMHAttention();
break;
case defNeuronGPT:
temp = new CNeuronGPT();
break;
case defNeuronDropout:
temp = new CNeuronDropout();
break;
case defNeuronBatchNorm:
temp = new CNeuronBatchNorm();
break;
default:
return false;
}
//--- control new object creation
if(!temp)
return false;
//--- add pointer to the created object to array
if(!temp.Init(desc))
return false;
if(m_data[index])
delete m_data[index];
temp.SetOpenCL(m_cOpenCL);
m_data[index] = temp;
m_data_total = fmax(m_data_total, index + 1);
//---
return true;
}
//+------------------------------------------------------------------+
//| Method to pass pointer to the OpenCL context |
//+------------------------------------------------------------------+
bool CArrayLayers::SetOpencl(CMyOpenCL *opencl)
{
//--- source data checking bock
if(m_cOpenCL)
delete m_cOpenCL;
m_cOpenCL = opencl;
//--- pass pointer to all elements of the array
for(int i = 0; i < m_data_total; i++)
{
if(!m_data[i])
return false;
if(!((CNeuronBase *)m_data[i]).SetOpenCL(m_cOpenCL))
return false;
}
//---
return(!!m_cOpenCL);
}
//+------------------------------------------------------------------+
//| Method for reading a dynamic array from a file |
//+------------------------------------------------------------------+
bool CArrayLayers::Load(const int file_handle)
{
m_iFileHandle = file_handle;
return CArrayObj::Load(file_handle);
}
//+------------------------------------------------------------------+