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Correcting modules use in test files
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c07cb10247
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@ -138,15 +138,7 @@ class HMCWrapperTemplate: public HMCRunnerBase<ReaderClass> {
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// Can move this outside?
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typedef IntegratorType<SmearingPolicy> TheIntegrator;
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// Metric
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//TrivialMetric<typename Implementation::Field> Mtr;
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ConjugateGradient<LatticeGaugeField> CG(1.0e-8,10000);
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LaplacianParams LapPar(0.0001, 1.0, 1000, 1e-8, 12, 64);
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RealD Kappa = 0.6;
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// Better to pass the generalised momenta to the integrator
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LaplacianAdjointField<PeriodicGimplR> Laplacian(UGrid, CG, LapPar, Kappa);
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TheIntegrator MDynamics(UGrid, Parameters.MD, TheAction, Smearing, Laplacian);
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TheIntegrator MDynamics(UGrid, Parameters.MD, TheAction, Smearing);
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if (Parameters.StartingType == "HotStart") {
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// Hot start
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@ -77,8 +77,7 @@ class Integrator {
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double t_U; // Track time passing on each level and for U and for P
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std::vector<double> t_P;
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//MomentaField P;
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GeneralisedMomenta<FieldImplementation > P;
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MomentaField P;
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SmearingPolicy& Smearer;
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RepresentationPolicy Representations;
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IntegratorParameters Params;
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@ -87,7 +86,7 @@ class Integrator {
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void update_P(Field& U, int level, double ep) {
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t_P[level] += ep;
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update_P(P.Mom, U, level, ep);
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update_P(P, U, level, ep);
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std::cout << GridLogIntegrator << "[" << level << "] P "
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<< " dt " << ep << " : t_P " << t_P[level] << std::endl;
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@ -115,23 +114,7 @@ class Integrator {
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// input U actually not used in the fundamental case
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// Fundamental updates, include smearing
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// Generalised momenta
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// Derivative of the kinetic term must be computed before
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// Mom is the momenta and gets updated by the
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// actions derivatives
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MomentaField MomDer(P.Mom._grid);
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P.M.ImportGauge(U);
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P.DerivativeU(P.Mom, MomDer);
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Mom -= MomDer * ep;
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// Auxiliary fields
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P.update_auxiliary_momenta(ep*0.5);
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P.AuxiliaryFieldsDerivative(MomDer);
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Mom -= MomDer * ep;
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P.update_auxiliary_momenta(ep*0.5);
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for (int a = 0; a < as[level].actions.size(); ++a) {
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for (int a = 0; a < as[level].actions.size(); ++a) {
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Field force(U._grid);
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conformable(U._grid, Mom._grid);
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Field& Us = Smearer.get_U(as[level].actions.at(a)->is_smeared);
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@ -145,89 +128,12 @@ class Integrator {
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Mom -= force * ep;
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}
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// Force from the other representations
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as[level].apply(update_P_hireps, Representations, Mom, U, ep);
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}
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void implicit_update_P(Field& U, int level, double ep, bool intermediate = false) {
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t_P[level] += ep;
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std::cout << GridLogIntegrator << "[" << level << "] P "
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<< " dt " << ep << " : t_P " << t_P[level] << std::endl;
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// Fundamental updates, include smearing
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MomentaField Msum(P.Mom._grid);
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Msum = zero;
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for (int a = 0; a < as[level].actions.size(); ++a) {
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// Compute the force terms for the lagrangian part
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// We need to compute the derivative of the actions
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// only once
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Field force(U._grid);
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conformable(U._grid, P.Mom._grid);
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Field& Us = Smearer.get_U(as[level].actions.at(a)->is_smeared);
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as[level].actions.at(a)->deriv(Us, force); // deriv should NOT include Ta
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std::cout << GridLogIntegrator << "Smearing (on/off): " << as[level].actions.at(a)->is_smeared << std::endl;
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if (as[level].actions.at(a)->is_smeared) Smearer.smeared_force(force);
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force = FieldImplementation::projectForce(force); // Ta for gauge fields
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Real force_abs = std::sqrt(norm2(force) / U._grid->gSites());
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std::cout << GridLogIntegrator << "|Force| site average: " << force_abs
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<< std::endl;
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Msum += force;
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}
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MomentaField NewMom = P.Mom;
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MomentaField OldMom = P.Mom;
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double threshold = 1e-6;
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P.M.ImportGauge(U);
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MomentaField MomDer(P.Mom._grid);
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MomentaField MomDer1(P.Mom._grid);
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MomentaField AuxDer(P.Mom._grid);
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MomDer1 = zero;
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MomentaField diff(P.Mom._grid);
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double factor = 2.0;
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if (intermediate){
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P.DerivativeU(P.Mom, MomDer1);
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factor = 1.0;
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}
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// Auxiliary fields
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P.update_auxiliary_momenta(ep*0.5);
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P.AuxiliaryFieldsDerivative(AuxDer);
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Msum += AuxDer;
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// Here run recursively
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int counter = 1;
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RealD RelativeError;
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do {
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std::cout << GridLogIntegrator << "UpdateP implicit step "<< counter << std::endl;
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// Compute the derivative of the kinetic term
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// with respect to the gauge field
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P.DerivativeU(NewMom, MomDer);
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Real force_abs = std::sqrt(norm2(MomDer) / U._grid->gSites());
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std::cout << GridLogIntegrator << "|Force| laplacian site average: " << force_abs
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<< std::endl;
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NewMom = P.Mom - ep* 0.5 * (2.0*Msum + factor*MomDer + MomDer1);// simplify
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diff = NewMom - OldMom;
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counter++;
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RelativeError = std::sqrt(norm2(diff))/std::sqrt(norm2(NewMom));
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std::cout << GridLogIntegrator << "UpdateP RelativeError: " << RelativeError << std::endl;
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OldMom = NewMom;
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} while (RelativeError > threshold);
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P.Mom = NewMom;
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// update the auxiliary fields momenta
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P.update_auxiliary_momenta(ep*0.5);
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}
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void update_U(Field& U, double ep) {
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update_U(P.Mom, U, ep);
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update_U(P, U, ep);
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t_U += ep;
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int fl = levels - 1;
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@ -245,68 +151,15 @@ class Integrator {
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Representations.update(U); // void functions if fundamental representation
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}
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void implicit_update_U(Field&U, double ep){
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t_U += ep;
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int fl = levels - 1;
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std::cout << GridLogIntegrator << " " << "[" << fl << "] U " << " dt " << ep << " : t_U " << t_U << std::endl;
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MomentaField Mom1(P.Mom._grid);
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MomentaField Mom2(P.Mom._grid);
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RealD RelativeError;
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Field diff(U._grid);
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Real threshold = 1e-8;
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int counter = 1;
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int MaxCounter = 100;
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Field OldU = U;
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Field NewU = U;
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P.M.ImportGauge(U);
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P.DerivativeP(Mom1); // first term in the derivative
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P.update_auxiliary_fields(ep*0.5);
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do {
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std::cout << GridLogIntegrator << "UpdateU implicit step "<< counter << std::endl;
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P.DerivativeP(Mom2); // second term in the derivative, on the updated U
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MomentaField sum = (Mom1 + Mom2);
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//std::cout << GridLogMessage << "sum Norm " << norm2(sum) << std::endl;
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for (int mu = 0; mu < Nd; mu++) {
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auto Umu = PeekIndex<LorentzIndex>(U, mu);
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auto Pmu = PeekIndex<LorentzIndex>(sum, mu);
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Umu = expMat(Pmu, ep * 0.5, 24) * Umu;
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PokeIndex<LorentzIndex>(NewU, ProjectOnGroup(Umu), mu);
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}
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diff = NewU - OldU;
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RelativeError = std::sqrt(norm2(diff))/std::sqrt(norm2(NewU));
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std::cout << GridLogIntegrator << "UpdateU RelativeError: " << RelativeError << std::endl;
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P.M.ImportGauge(NewU);
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OldU = NewU; // some redundancy to be eliminated
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counter++;
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} while (RelativeError > threshold && counter < MaxCounter);
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U = NewU;
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P.update_auxiliary_fields(ep*0.5);
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}
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virtual void step(Field& U, int level, int first, int last) = 0;
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public:
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Integrator(GridBase* grid, IntegratorParameters Par,
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ActionSet<Field, RepresentationPolicy>& Aset,
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SmearingPolicy& Sm, Metric<MomentaField>& M)
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SmearingPolicy& Sm)
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: Params(Par),
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as(Aset),
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P(grid, M),
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P(grid),
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levels(Aset.size()),
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Smearer(Sm),
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Representations(grid) {
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@ -339,8 +192,7 @@ class Integrator {
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}
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void reverse_momenta(){
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P.Mom *= -1.0;
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P.AuxMom *= -1.0;
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P *= -1.0;
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}
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// to be used by the actionlevel class to iterate
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@ -359,13 +211,10 @@ class Integrator {
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// Initialization of momenta and actions
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void refresh(Field& U, GridParallelRNG& pRNG) {
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assert(P.Mom._grid == U._grid);
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assert(P._grid == U._grid);
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std::cout << GridLogIntegrator << "Integrator refresh\n";
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//FieldImplementation::generate_momenta(P, pRNG);
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P.M.ImportGauge(U);
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P.MomentaDistribution(pRNG);
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FieldImplementation::generate_momenta(P, pRNG);
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// Update the smeared fields, can be implemented as observer
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// necessary to keep the fields updated even after a reject
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@ -411,9 +260,7 @@ class Integrator {
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// Calculate action
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RealD S(Field& U) { // here also U not used
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//RealD H = - FieldImplementation::FieldSquareNorm(P.Mom); // - trace (P*P)
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P.M.ImportGauge(U);
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RealD H = - P.MomentaAction();
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RealD H = - FieldImplementation::FieldSquareNorm(P); // - trace (P*P)
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RealD Hterm;
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std::cout << GridLogMessage << "Momentum action H_p = " << H << "\n";
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@ -287,141 +287,6 @@ class ForceGradient : public Integrator<FieldImplementation, SmearingPolicy,
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};
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////////////////////////////////
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// Riemannian Manifold HMC
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// Girolami et al
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////////////////////////////////
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// correct
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template <class FieldImplementation, class SmearingPolicy,
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class RepresentationPolicy =
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Representations<FundamentalRepresentation> >
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class ImplicitLeapFrog : public Integrator<FieldImplementation, SmearingPolicy,
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RepresentationPolicy> {
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public:
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typedef ImplicitLeapFrog<FieldImplementation, SmearingPolicy, RepresentationPolicy>
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Algorithm;
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INHERIT_FIELD_TYPES(FieldImplementation);
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// Riemannian manifold metric operator
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// Hermitian operator Fisher
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std::string integrator_name(){return "ImplicitLeapFrog";}
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ImplicitLeapFrog(GridBase* grid, IntegratorParameters Par,
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ActionSet<Field, RepresentationPolicy>& Aset, SmearingPolicy& Sm, Metric<Field>& M)
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: Integrator<FieldImplementation, SmearingPolicy, RepresentationPolicy>(
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grid, Par, Aset, Sm, M){};
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void step(Field& U, int level, int _first, int _last) {
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int fl = this->as.size() - 1;
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// level : current level
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// fl : final level
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// eps : current step size
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// Get current level step size
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RealD eps = this->Params.trajL/this->Params.MDsteps;
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for (int l = 0; l <= level; ++l) eps /= this->as[l].multiplier;
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int multiplier = this->as[level].multiplier;
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for (int e = 0; e < multiplier; ++e) {
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int first_step = _first && (e == 0);
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int last_step = _last && (e == multiplier - 1);
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if (first_step) { // initial half step
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this->implicit_update_P(U, level, eps / 2.0);
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}
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if (level == fl) { // lowest level
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this->implicit_update_U(U, eps);
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} else { // recursive function call
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this->step(U, level + 1, first_step, last_step);
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}
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//int mm = last_step ? 1 : 2;
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if (last_step){
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this->update_P(U, level, eps / 2.0);
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} else {
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this->implicit_update_P(U, level, eps, true);// works intermediate step
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// this->update_P(U, level, eps); // looks not reversible
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}
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}
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}
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};
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// This is not completely tested
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template <class FieldImplementation, class SmearingPolicy,
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class RepresentationPolicy =
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Representations<FundamentalRepresentation> >
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class ImplicitMinimumNorm2 : public Integrator<FieldImplementation, SmearingPolicy,
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RepresentationPolicy> {
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private:
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const RealD lambda = 0.1931833275037836;
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public:
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INHERIT_FIELD_TYPES(FieldImplementation);
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ImplicitMinimumNorm2(GridBase* grid, IntegratorParameters Par,
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ActionSet<Field, RepresentationPolicy>& Aset, SmearingPolicy& Sm, Metric<Field>& M)
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: Integrator<FieldImplementation, SmearingPolicy, RepresentationPolicy>(
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grid, Par, Aset, Sm, M){};
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std::string integrator_name(){return "ImplicitMininumNorm2";}
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void step(Field& U, int level, int _first, int _last) {
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// level : current level
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// fl : final level
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// eps : current step size
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int fl = this->as.size() - 1;
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RealD eps = this->Params.trajL/this->Params.MDsteps * 2.0;
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for (int l = 0; l <= level; ++l) eps /= 2.0 * this->as[l].multiplier;
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// Nesting: 2xupdate_U of size eps/2
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// Next level is eps/2/multiplier
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int multiplier = this->as[level].multiplier;
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for (int e = 0; e < multiplier; ++e) { // steps per step
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int first_step = _first && (e == 0);
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int last_step = _last && (e == multiplier - 1);
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if (first_step) { // initial half step
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this->implicit_update_P(U, level, lambda * eps);
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}
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if (level == fl) { // lowest level
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this->implicit_update_U(U, 0.5 * eps);
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} else { // recursive function call
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this->step(U, level + 1, first_step, 0);
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}
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this->implicit_update_P(U, level, (1.0 - 2.0 * lambda) * eps);
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if (level == fl) { // lowest level
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this->implicit_update_U(U, 0.5 * eps);
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} else { // recursive function call
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this->step(U, level + 1, 0, last_step);
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}
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//int mm = (last_step) ? 1 : 2;
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//this->update_P(U, level, lambda * eps * mm);
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if (last_step) {
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this->update_P(U, level, eps * lambda);
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} else {
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this->implicit_update_P(U, level, lambda * eps*2.0);
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}
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}
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}
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};
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}
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@ -191,57 +191,6 @@ class LaplacianAdjointField: public Metric<typename Impl::Field> {
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std::vector<GaugeLinkField> U;
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};
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// This is just for debuggin purposes
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// not meant to be used by the final users
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template <class Impl>
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class LaplacianAlgebraField {
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public:
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INHERIT_GIMPL_TYPES(Impl);
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typedef SU<Nc>::LatticeAlgebraVector AVector;
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LaplacianAlgebraField(GridBase* grid, const RealD k) :
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U(Nd, grid), kappa(k){};
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void ImportGauge(const GaugeField& _U) {
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for (int mu = 0; mu < Nd; mu++) {
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U[mu] = PeekIndex<LorentzIndex>(_U, mu);
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}
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}
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void Mdiag(const AVector& in, AVector& out) { assert(0); }
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void Mdir(const AVector& in, AVector& out, int dir, int disp) { assert(0); }
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// Operator with algebra vector inputs and outputs
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void M(const AVector& in, AVector& out) {
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GaugeLinkField tmp(in._grid);
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GaugeLinkField tmp2(in._grid);
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GaugeLinkField sum(in._grid);
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GaugeLinkField out_mat(in._grid);
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GaugeLinkField in_mat(in._grid);
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// Reconstruct matrix
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SU<Nc>::FundamentalLieAlgebraMatrix(in, in_mat);
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sum = zero;
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for (int mu = 0; mu < Nd; mu++) {
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tmp = U[mu] * Cshift(in_mat, mu, +1) * adj(U[mu]);
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tmp2 = adj(U[mu]) * in_mat * U[mu];
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sum += tmp + Cshift(tmp2, mu, -1) - 2.0 * in_mat;
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}
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out_mat = (1.0 - kappa) * in_mat - kappa / (double(4 * Nd)) * sum;
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// Project
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SU<Nc>::projectOnAlgebra(out, out_mat);
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}
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private:
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RealD kappa;
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std::vector<GaugeLinkField> U;
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};
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}
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}
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@ -66,8 +66,8 @@ int main(int argc, char **argv) {
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TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -68,8 +68,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -63,8 +63,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -64,8 +64,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -57,8 +57,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -58,8 +58,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -63,8 +63,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
//////////////////////////////////////////////
|
||||
|
@ -68,8 +68,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -40,7 +40,7 @@ int main(int argc, char **argv) {
|
||||
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
|
||||
|
||||
// Typedefs to simplify notation
|
||||
typedef GenericHMCRunner<ImplicitLeapFrog> HMCWrapper; // Uses the default minimum norm
|
||||
typedef GenericHMCRunner<LeapFrog> HMCWrapper; // Uses the default minimum norm
|
||||
HMCWrapper TheHMC;
|
||||
|
||||
// Grid from the command line
|
||||
|
@ -77,8 +77,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -64,8 +64,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -67,8 +67,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -64,8 +64,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -65,8 +65,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -64,8 +64,8 @@ int main(int argc, char **argv) {
|
||||
TheHMC.Resources.LoadBinaryCheckpointer(CPparams);
|
||||
|
||||
RNGModuleParameters RNGpar;
|
||||
RNGpar.SerialSeed = {1,2,3,4,5};
|
||||
RNGpar.ParallelSeed = {6,7,8,9,10};
|
||||
RNGpar.serial_seeds = "1 2 3 4 5";
|
||||
RNGpar.parallel_seeds = "6 7 8 9 10";
|
||||
TheHMC.Resources.SetRNGSeeds(RNGpar);
|
||||
|
||||
// Construct observables
|
||||
|
@ -86,23 +86,5 @@ int main (int argc, char ** argv)
|
||||
|
||||
Laplacian.MSquareRoot(src_f);
|
||||
|
||||
|
||||
// Tests also the version using the algebra decomposition
|
||||
/*
|
||||
LaplacianAlgebraField<PeriodicGimplR> LaplacianAlgebra(&Grid, Kappa);
|
||||
LaplacianAlgebra.ImportGauge(Umu);
|
||||
|
||||
HermitianLinearOperator<LaplacianAlgebraField<PeriodicGimplR>,AVector> HermOpAlg(LaplacianAlgebra);
|
||||
ConjugateGradient<AVector> CG_Algebra(1.0e-8,10000);
|
||||
std::cout << GridLogMessage << "Testing the Laplacian using the algebra vectors" <<std::endl;
|
||||
CG_Algebra(HermOpAlg,src_vec,result_vec);
|
||||
|
||||
LatticeColourMatrix result2(&Grid);
|
||||
SU<Nc>::FundamentalLieAlgebraMatrix(result_vec, result2);
|
||||
|
||||
result2 -= result;
|
||||
std::cout << GridLogMessage << "Results difference " << norm2(result2) << std::endl;
|
||||
*/
|
||||
|
||||
Grid_finalize();
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user