Files
Rbm/source/RnnStack.cpp
T
jens 17770f402c - integrated RnnStack
git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@826 b431acfa-c32f-4a4a-93f1-934dc6c82436
2022-01-18 08:36:10 +00:00

105 lines
2.1 KiB
C++

/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
/*
* File: RnnStack.cpp
* Author: jens
*
* Created on 17. Januar 2022, 12:43
*/
#include "RnnStack.hpp"
RnnStack::RnnStack(const std::string &name, size_t numContext)
: AStack(StackType::Rnn, name)
, m_numContext(numContext)
{
}
RnnStack::~RnnStack()
{
}
size_t RnnStack::getSeqLen()
{
return numLayers();
}
size_t RnnStack::numContext()
{
return m_numContext;
}
arma::mat RnnStack::v_to_vc(const arma::mat& v) const
{
arma::mat c = arma::zeros(v.n_rows, m_numContext);
return arma::join_rows(v, c);
}
arma::mat RnnStack::v_to_vc(const arma::mat& v, const arma::mat& c) const
{
return arma::join_rows(v, c);
}
arma::mat RnnStack::vc_to_c(const arma::mat& vc) const
{
size_t numVisible = vc.n_cols;
if (m_numContext == 0)
{
return arma::mat(1, 0);
}
return vc.submat(0, numVisible - m_numContext, 0, numVisible - 1);
}
arma::mat RnnStack::vc_to_v(const arma::mat& vc) const
{
size_t numVisible = vc.n_cols;
return vc.submat(0, 0, vc.n_rows - 1, numVisible - m_numContext - 1);
}
arma::mat RnnStack::trainingBatchFrom(size_t layerId, const arma::mat& batch)
{
arma::mat vc = batch;
Layer *pLayer = getLayer(0);
while (pLayer)
{
if (layerId == pLayer->id())
{
break;
}
arma::mat c = pLayer->to_h_gibbs(vc);
arma::mat v = arma::shift(vc_to_v(vc), layerId, 1);
vc = v_to_vc(v, c);
pLayer = pLayer->next;
}
return vc;
}
void RnnStack::train(const arma::mat& batch, Rbm::IListener* pListener)
{
arma::mat thisBatch = batch;
Layer *pLayer = getLayer(0);
while (pLayer)
{
thisBatch = trainingBatchFrom(pLayer->id(), thisBatch);
pLayer->train(thisBatch, pListener);
pLayer = pLayer->next;
}
}
void RnnStack::train(size_t layerId, const arma::mat& batch, Rbm::IListener* pListener)
{
arma::mat thisBatch = batch;
Layer *pLayer = getLayer(layerId);
if (pLayer)
{
thisBatch = trainingBatchFrom(pLayer->id(), batch);
pLayer->train(thisBatch, pListener);
}
}