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#ifndef _CUSHARED_LINEARITY_H_
#define _CUSHARED_LINEARITY_H_
#include "cuComponent.h"
#include "cumatrix.h"
#include "Matrix.h"
#include "Vector.h"
namespace TNet {
/**
* \brief CuSharedLinearity summation function
*
* \ingroup CuNNUpdatable
* Weights and bias are shared between output,
* which means the interconnections are segmented.
* every time the outputs (blocks) are generated individually, and bias is expanded to speed up?
* \sa CuBiasedLinearity
*/
class CuSharedLinearity : public CuUpdatableComponent
{
public:
CuSharedLinearity(size_t nInputs, size_t nOutputs, CuComponent *pPred);
~CuSharedLinearity();
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:
CuMatrix<BaseFloat> mLinearity; ///< Matrix with neuron weights
CuVector<BaseFloat> mBias; ///< Vector with biases
CuMatrix<BaseFloat> mLinearityCorrection; ///< Matrix for linearity updates
CuVector<BaseFloat> mBiasCorrection; ///< Vector for bias updates
int mNInstances; ///< Number of times the bias and weights are shared
CuVector<BaseFloat> mBiasExpand; ///< Bias expanded by mNInstances times
CuVector<BaseFloat> mBiasCorrectionExpand;///< Bias correction for the expanded bias vector
};
////////////////////////////////////////////////////////////////////////////
// INLINE FUNCTIONS
// CuSharedLinearity::
inline
CuSharedLinearity::
CuSharedLinearity(size_t nInputs, size_t nOutputs, CuComponent *pPred)
: CuUpdatableComponent(nInputs, nOutputs, pPred),
mNInstances(0)
{ }
inline
CuSharedLinearity::
~CuSharedLinearity()
{ }
inline CuComponent::ComponentType
CuSharedLinearity::
GetType() const
{
return CuComponent::SHARED_LINEARITY;
}
inline const char*
CuSharedLinearity::
GetName() const
{
return "<sharedlinearity>";
}
} //namespace
#endif
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