CudaErrorFunctions.cuh

libcudann

* CudaErrorFunctions.cuh

* Created on: Jan 10, 2011

* Author: donati

#ifndef CUDAERRORFUNCTIONS_H_

#define CUDAERRORFUNCTIONS_H_

#define ERROR_LINEAR 0

#define ERROR_TANH 1

#include "CudaActivationFunctions.cuh"

//this macro computes the new error after the application of a function (tanh is more aggressive error targeting)

#define calcErr(error,errorFunc)(\

errorFunc == ERROR_TANH ?\

error < -.9999999f ? -17.0f:error > .9999999f ? 17.0f: log((1.0f + error) / (1.0f - error)):\

error\

)

//computes the error function for (number) elements of (desired)-(neurons) and store the results in (deltas)

void computeError(float * deltas, const float * desired, const float * neurons, const int number, const int actFunc, const int errorFunc);

//computes the total mse for (number) elements of (desired)-(neurons)

float mseError(const float * desired, float * neurons, const int number, const int actFunc);

//find the (indexes) of the max values of each row of a set of (neurons), divided in rows(nOfOut) and columns(nOfInst)

void computeMaxes(const int nOfInst, const int nOfOut, const float * neurons, int * indexes);

//adds to (number) elements of (weights) the difference between (weights) and (oldWeights) multiplied with (momentum)

void addMomentum(float * weights, float * oldWeights,const int number, const float momentum);

//translate a matrix x-y (rows large (x) and columns high (y)) to one y-x

void translateMatrix(const int x, const int y, const float * in, float * out);

#endif /* CUDAERRORFUNCTION_H_ */