- refactored

git-svn-id: http://moon:8086/svn/software/trunk/projects/Rbm@810 b431acfa-c32f-4a4a-93f1-934dc6c82436
This commit is contained in:
2022-01-15 09:06:54 +00:00
parent 5b38cbfa3a
commit eb8d399636
2 changed files with 180 additions and 161 deletions
+148
View File
@@ -43,6 +43,143 @@ Layer::~Layer()
{
}
size_t Layer::id()
{
return m_id;
}
std::string& Layer::name()
{
return m_name;
}
int Layer::numVisibleX()
{
return m_numVisibleX;
}
int Layer::numVisibleY()
{
return m_numVisibleY;
}
const arma::mat& Layer::context() const
{
return m_context;
}
Layer* Layer::root()
{
Layer *pLayer = this;
while (pLayer->prev)
{
pLayer = pLayer->prev;
}
return pLayer;
}
arma::mat Layer::gibbsPass(arma::mat& vr)
{
arma::mat h;
for (int i = 0; i < params().numGibbs; i++)
{
h = prob(v_to_h(vr));
vr = prob(h_to_v(h));
}
return h;
}
arma::mat Layer::downPass(const arma::mat& h)
{
arma::mat v = prob(h_to_v(h));
if (prev)
{
return prev->downPass(v);
}
return v;
}
arma::mat Layer::upPass(const arma::mat& v)
{
arma::mat r = v;
arma::mat h = gibbsPass(r);
if (next)
{
next->upPass(h);
}
else
{
return h;
}
}
arma::mat Layer::upDownPass(const arma::mat& v)
{
arma::mat r = v;
arma::mat h = gibbsPass(r);
if (next)
{
next->upDownPass(h);
}
else if (prev)
{
prev->downPass(r);
}
return r;
}
arma::mat Layer::vc_to_c(const arma::mat& vc) const
{
if (m_numContext == 0)
{
return arma::mat(1, 0);
}
return vc.submat(0, numVisible() - m_numContext, 0, numVisible() - 1);
}
arma::mat Layer::vc_to_v(const arma::mat& vc) const
{
return arma::reshape(vc, 1, numVisible() - m_numContext);
}
void Layer::calcContextBatch(arma::mat& batch)
{
size_t numTraining = batch.n_rows;
if (m_numContext > 0 and numTraining > 0)
{
for (int i = 1; i < numTraining; i++)
{
arma::mat v = batch.row(i - 1);
arma::mat h = arma::zeros(1, numHidden());
gibbs_vh(v, h);
arma::mat training_with_ctx = arma::join_rows(batch.row(i).cols(0, numVisible() - m_numContext - 1), h);
batch.row(i) = training_with_ctx;
}
}
}
void Layer::train(const arma::mat& batch, IListener* pListener)
{
Rbm::train(trainingData(batch), pListener);
}
arma::mat Layer::trainingData(const arma::mat& batch)
{
arma::mat thisBatch = batch;
Layer *pLayer = root();
while (pLayer)
{
if (pLayer == this)
{
break;
}
thisBatch = pLayer->toHiddenProbs(thisBatch);
pLayer = pLayer->next;
}
return thisBatch;
}
bool Layer::weightsLoad(std::string const &dir, std::string const &prj)
{
arma::mat w;
@@ -92,3 +229,14 @@ Json::Value Layer::toJson() const
return layer;
}
std::string Layer::filePrefix(const std::string& dir, const std::string& prjname) const
{
std::string filename = m_name + "." + std::to_string((int) m_id);
if (prjname.size() > 0)
{
filename = prjname + "." + filename;
}
return dir + "/" + filename;
}