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Layer.cpp
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Layer.cpp
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#include "Layer.hpp"
/*!
* \brief Layer::layerCounter
*/
quint32 Layer::layerCounter = 0;
/*!
* \brief Layer::Layer
*/
Layer::Layer() : id( layerCounter++ ), neurons( QVector< Neuron > () ) {}
/*!
* \brief Layer::initLayer
* \param numberOfNeurons
* \param numberOfInputs
* \param beta
* \param lastLayer
*/
void Layer::initLayer(const quint32 numberOfNeurons, const quint32 numberOfInputs, const qreal alpha, const qreal beta, const bool firstLayer )
{
Q_ASSERT(numberOfNeurons > 0);
Q_ASSERT(numberOfInputs > 0);
neurons = QVector< Neuron > ( numberOfNeurons );
std::for_each( neurons.begin(), neurons.end(),[&]( Neuron & neuron ) {
neuron.initNeuron( numberOfInputs, alpha, beta, firstLayer );
} );
}
/*!
* \brief Layer::getBeta
* \return
*/
/*qreal Layer::getBeta() const
{
return beta;
}
*/
/*!
* \brief Layer::getNeurons
* \return
*/
QVector<Neuron> &Layer::getNeurons()
{
return neurons;
}
/*!
* \brief Layer::getNeurons
* \return
*/
const QVector<Neuron> &Layer::getNeurons() const
{
return neurons;
}
/*!
* \brief Layer::process
* \param inputs
* \return
*/
const QVector<qreal> Layer::process(const QVector< qreal > & inputs) const
{
QVector< qreal > result( neurons.size() );
auto resultIt = result.begin();
std::for_each( neurons.constBegin(), neurons.constEnd(), [&] ( const Neuron & neuron ) {
(*resultIt) = neuron.process( inputs );
++ resultIt;
} );
/*
qDebug() << "Layer:";
std::for_each( neurons.constBegin(), neurons.constEnd(), [] ( const Neuron & neuron ) {
qDebug() << neuron.getWeights();
qDebug();
} );
qDebug() << "inputs: " << inputs;
qDebug() << "result: " << result;
*/
return result;
}
/*!
* \brief Layer::getId
* \return
*/
quint32 Layer::getId() const
{
return id;
}
#ifdef TEST_MODE
void LayerTest::EmptyTest()
{
Layer layer;
QCOMPARE(layer.getNeurons().size(), 0);
}
void LayerTest::InitializationTest()
{
Layer layer;
layer.initLayer(20, 5);
const auto neurons = layer.getNeurons();
QCOMPARE(neurons.size(), 20);
std::for_each(neurons.constBegin(), neurons.constEnd(), [](const Neuron & neuron){
QCOMPARE(neuron.getWeights().size(), 5);
});
}
void LayerTest::ProcessTest()
{
Layer layer;
{
const quint32 numberOfInputs = 5;
const quint32 numberOfNeurons = 20;
QVector< qreal > data( numberOfInputs );
std::for_each( data.begin(), data.end(), randomLambda );
layer.initLayer( numberOfNeurons, data.size() );
QVector < qreal > result( layer.getNeurons().size() );
auto resultIt = result.begin();
for( auto it = layer.getNeurons().constBegin(); it != layer.getNeurons().constEnd(); ++ it, ++ resultIt ) {
(*resultIt) = (*it).process( data );
}
// qDebug() << "result = " << result;
}
{
const quint32 numberOfInputs = 1;
const quint32 numberOfNeurons = 4;
QVector< qreal > data( numberOfInputs );
std::for_each( data.begin(), data.end(), randomLambda );
layer.initLayer( numberOfNeurons, data.size() );
QVector < qreal > result( layer.getNeurons().size() );
auto resultIt = result.begin();
for( auto it = layer.getNeurons().constBegin(); it != layer.getNeurons().constEnd(); ++ it, ++ resultIt ) {
(*resultIt) = (*it).process( data );
}
// qDebug() << "result = " << result;
}
}
#endif