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#ifndef _CUDISCRETE_LINEARITY_H_
#define _CUDISCRETE_LINEARITY_H_
#include "cuComponent.h"
#include "cumatrix.h"
#include "Matrix.h"
#include "Vector.h"
#include <vector>
namespace TNet {
class CuDiscreteLinearity : public CuUpdatableComponent
{
public:
CuDiscreteLinearity(size_t nInputs, size_t nOutputs, CuComponent *pPred);
~CuDiscreteLinearity();
ComponentType GetType() const;
const char* GetName() const;
void PropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
void BackpropagateFnc(const CuMatrix<BaseFloat>& X, CuMatrix<BaseFloat>& Y);
void Update();
void ReadFromStream(std::istream& rIn);
void WriteToStream(std::ostream& rOut);
protected:
std::vector<CuMatrix<BaseFloat> > mLinearity; ///< Matrix with neuron weights
CuVector<BaseFloat> mBias; ///< Vector with biases
std::vector<CuMatrix<BaseFloat> > mLinearityCorrection; ///< Matrix for linearity updates
CuVector<BaseFloat> mBiasCorrection; ///< Vector for bias updates
size_t mNBlocks;
};
////////////////////////////////////////////////////////////////////////////
// INLINE FUNCTIONS
// CuDiscreteLinearity::
inline
CuDiscreteLinearity::
CuDiscreteLinearity(size_t nInputs, size_t nOutputs, CuComponent *pPred)
: CuUpdatableComponent(nInputs, nOutputs, pPred),
//mLinearity(nInputs,nOutputs), mBias(nOutputs),
//mLinearityCorrection(nInputs,nOutputs), mBiasCorrection(nOutputs)
mNBlocks(0)
{
//mLinearityCorrection.SetConst(0.0);
//mBiasCorrection.SetConst(0.0);
}
inline
CuDiscreteLinearity::
~CuDiscreteLinearity()
{ }
inline CuComponent::ComponentType
CuDiscreteLinearity::
GetType() const
{
return CuComponent::DISCRETE_LINEARITY;
}
inline const char*
CuDiscreteLinearity::
GetName() const
{
return "<discretelinearity>";
}
} //namespace
#endif
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