private void run()
{
FPA t1 = PA.Add(PA.InnerProduct(dinput, diwt), theta); // summation and theta
FPA ohidden = PA.Reciprocal(PA.Add(PA.Pow2(PA.Negate(t1)), 1.0f)); //applying sigmoid function
FPA t2 = PA.Add(PA.InnerProduct(ohidden, dowt), tau); // summation and tau
FPA ooutput = PA.Reciprocal(PA.Add(PA.Pow2(PA.Negate(t2)), 1.0f));
FPA oerror = PA.Subtract(doutput, ooutput); //numpat no
FPA herror = PA.Transpose(PA.InnerProduct(dowt, PA.Transpose(oerror, new int[] { 1, 0 })), new int[] { 1, 0 }); // doubtful transpose
herror = PA.Multiply(PA.Multiply(PA.Subtract(1.0f, t1), t1), herror);
FPA _owt = PA.Add(dowt, PA.Multiply(PA.InnerProduct(PA.Transpose(t1, new int[] { 1, 0 }), oerror), betao)); // orig no transpose
FPA _iwt = PA.Multiply(PA.InnerProduct(PA.Transpose(dinput, new int[] { 1, 0 }), herror), betah); //original dinput herror and no transpose
dtau = PA.Add(PA.Multiply(betao, oerror), dtau);
dtheta = PA.Add(PA.Multiply(betah, herror), dtheta); //orig oerror
PA.ToArray(_owt, out owt);
PA.ToArray(_iwt, out iwt);
cleanup();
diwt = new DFPA(iwt);
dowt = new DFPA(owt);
}
public FPA LearningRate(FPA t) //Epsilon(t)
{
FPA exponent = -t / m_Theta;
FPA Epsilont = m_EpsilonInitial * PA.Pow2(PA.Log2(LogBase) * exponent);
return(Epsilont);
}
public FPA NeighborhoodRatio(FPA t) //Sigma(t)
{
FPA exponent = -t / m_Theta;
FPA Sigmat = m_SigmaInitial * PA.Pow2(PA.Log2(LogBase) * exponent);
return(Sigmat);
}
private void run()
{
FPA t1 = PA.Add(PA.InnerProduct(dinput, diwt), theta);
FPA ohidden = PA.Reciprocal(PA.Add(PA.Pow2(PA.Negate(t1)), 1.0f));
FPA t2 = PA.Add(PA.InnerProduct(ohidden, dowt), tau);
FPA ooutput = PA.Reciprocal(PA.Add(PA.Pow2(PA.Negate(t2)), 1.0f));
FPA oerror = PA.Subtract(doutput, ooutput);
FPA herror = PA.InnerProduct(dowt, PA.Transpose(oerror, new int[] { 1, 0 }));
herror = PA.InnerProduct(PA.Multiply(PA.Subtract(1.0f, t1), t1), herror);
FPA _owt = PA.Add(dowt, PA.Multiply(PA.InnerProduct(t1, oerror), betao));
FPA _iwt = PA.Multiply(PA.InnerProduct(herror, dinput), betah); //original dinput herror
dtau = PA.Add(PA.Multiply(betao, oerror), dtau);
dtheta = PA.Add(PA.Multiply(betah, herror), dtheta); //orig herror
PA.ToArray(_owt, out owt);
PA.ToArray(_iwt, out iwt);
diwt = new DFPA(owt);
dowt = new DFPA(iwt);
}
public float[] Test(float[] iinput)
{
float[,] tinput = new float[1, ni];
for (int i = 0; i < ni; i++)
{
tinput[0, i] = iinput[i];
}
dinput = new DFPA(tinput);
diwt = new DFPA(iwt);
dowt = new DFPA(owt);
dtheta = PA.Section(dtheta, new Slice(0, 1), new Slice(0, nh));
dtau = PA.Section(dtau, new Slice(0, 1), new Slice(0, no));
FPA t1 = PA.Add(PA.InnerProduct(dinput, diwt), dtheta);
FPA ohidden = PA.Reciprocal(PA.Add(PA.Pow2(PA.Negate(t1)), 1.0f));
FPA t2 = PA.Add(PA.InnerProduct(ohidden, dowt), dtau);
FPA ooutput = PA.Reciprocal(PA.Add(PA.Pow2(PA.Negate(t2)), 1.0f));
float[,] output;
float[] routput = new float[no];
PA.ToArray(ooutput, out output);
for (int i = 0; i < no; i++)
{
routput[i] = output[0, i];
}
/*Disposable Floating arrays need to be explicitly "disposed" */
dinput.Dispose();
diwt.Dispose();
dowt.Dispose();
doutput.Dispose();
/*Releasing all GPU Resources*/
PA.UnInit();
return(routput);
}
public void DoEpoch(int nb)
{
int alen = m_Width * m_Height;
for (int i = 0; i < nb; ++i)
{
//Neighborhood Function
FPA sbmuc = PA.AddDimension(m_BMUCoord, 1);
sbmuc = PA.Stretch(sbmuc, 1, alen);
sbmuc = sbmuc - m_Shape;
sbmuc = PA.Pow2(sbmuc);
FPA sqdist = PA.Sum(sbmuc, 0);
sqdist = PA.AddDimension(sqdist, 0);
sqdist = PA.Stretch(sqdist, m_PatternLength, 1);
//PA.Evaluate(sqdist);
//
//Learning Rate
FPA lrate = new FPA((float)_CPU_LearningRate(m_time_val), m_PatternLength, alen);
/*FPA sLearningRate = PA.AddDimension(LearningRate(m_Time), 1);
* sLearningRate = PA.Stretch(sLearningRate, m_PatternLength, alen);*/
//Difference between units and current pattern
FPA a = PA.AddDimension(m_CurrentPatternGPU, 1);
FPA x = PA.Stretch(a, 1, alen);
FPA pol = x - m_Weights;
//Calcul des deltas
FPA deltaW = lrate * pol;
//Mise à jour des poids
m_Weights = m_Weights + deltaW;
//Incrémente le compteur de temps
//m_Time = PA.Add(m_Time, 1.0f);
m_time_val += 1;
}
}
