- 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) bool Layer::weightsLoad(std::string const &dir, std::string const &prj)
{ {
arma::mat w; arma::mat w;
@@ -92,3 +229,14 @@ Json::Value Layer::toJson() const
return layer; 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;
}
+32 -161
View File
@@ -23,176 +23,47 @@
class Layer : public Rbm class Layer : public Rbm
{ {
public: public:
Layer *next; Layer *next;
Layer *prev; Layer *prev;
Layer(const std::string &name, size_t id, size_t numVisibleX, size_t numVisibleY, size_t numHidden, size_t numContext=0); Layer(const std::string &name, size_t id, size_t numVisibleX, size_t numVisibleY, size_t numHidden, size_t numContext=0);
Layer(const Layer& orig); Layer(const Layer& orig);
virtual ~Layer(); virtual ~Layer();
Json::Value toJson() const; Json::Value toJson() const;
void calcContextBatch(arma::mat &batch) size_t id();
{ std::string& name();
size_t numTraining = batch.n_rows; int numVisibleX();
int numVisibleY();
const arma::mat& context() const;
if (m_numContext > 0 and numTraining > 0) Layer *root();
{ arma::mat gibbsPass(arma::mat &vr);
for (int i=1; i < numTraining; i++) arma::mat upPass(arma::mat const &v);
{ arma::mat downPass(arma::mat const &h);
arma::mat v = batch.row(i-1); arma::mat upDownPass(arma::mat const &v);
arma::mat h = arma::zeros(1, numHidden()); arma::mat vc_to_v(const arma::mat &vc) const;
gibbs_vh(v, h); arma::mat vc_to_c(const arma::mat &vc) const;
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 train(arma::mat const &batch, IListener *pListener=nullptr)
{
Rbm::train(trainingData(batch), pListener);
}
std::string& name()
{
return m_name;
}
size_t id()
{
return m_id;
}
int numVisibleX()
{
return m_numVisibleX;
}
int numVisibleY() bool weightsLoad(std::string const &dir, std::string const &prj);
{ bool weightsSave(std::string const &dir, std::string const &prj);
return m_numVisibleY;
}
arma::mat 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 upPass(arma::mat const &v)
{
arma::mat r = v;
arma::mat h = gibbsPass(r);
if (next)
{
next->upPass(h);
}
else
{
return h;
}
}
arma::mat downPass(arma::mat const &h)
{
arma::mat v = prob(h_to_v(h));
if (prev)
{
return prev->downPass(v);
}
return v;
}
arma::mat upDownPass(arma::mat const &v)
{
arma::mat r = v;
arma::mat h = gibbsPass(r);
if (next)
{
next->upDownPass(h);
}
else if (prev)
{
prev->downPass(r);
}
return r;
}
bool weightsLoad(std::string const &dir, std::string const &prj); void calcContextBatch(arma::mat &batch);
bool weightsSave(std::string const &dir, std::string const &prj); arma::mat trainingData(arma::mat const &batch);
void train(arma::mat const &batch, IListener *pListener=nullptr);
arma::mat trainingData(arma::mat const &batch)
{
arma::mat thisBatch = batch;
Layer *pLayer = root();
while (pLayer)
{
if (pLayer == this)
{
break;
}
thisBatch = pLayer->toHiddenProbs(thisBatch);
pLayer = pLayer->next;
}
return thisBatch;
}
Layer *root()
{
Layer *pLayer = this;
while(pLayer->prev)
{
pLayer = pLayer->prev;
}
return pLayer;
}
arma::mat vc_to_v(const arma::mat &vc) const
{
return arma::reshape(vc, 1, numVisible() - m_numContext);
}
arma::mat 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);
}
const arma::mat& context() const
{
return m_context;
}
private: private:
std::string m_name; std::string m_name;
size_t m_id; size_t m_id;
size_t m_numVisibleX; size_t m_numVisibleX;
size_t m_numVisibleY; size_t m_numVisibleY;
size_t m_numContext; size_t m_numContext;
arma::mat m_context; arma::mat m_context;
// Compatibility // Compatibility
bool loadWeights(const std::string &prjname=""); std::string filePrefix(const std::string &dir, const std::string &prjname) const;
bool saveWeights(const std::string &prjname="");
std::string 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;
}
}; };