portelli/Grid
1
0
Fork 0
mirror of https://github.com/paboyle/Grid.git synced 2024-09-19 16:55:37 +01:00
Code Releases Activity

Merge pull request #409 from giltirn/feature/dirichlet-gparity-stage

Browse Source 
Import round 5
This commit is contained in:
Peter Boyle 2022-08-31 18:22:50 -04:00 committed by GitHub
commit 8cc3c522c3
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
9 changed files with 3247 additions and 57 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
Grid/algorithms/iterative/LocalCoherenceLanczos.h
View File

@ -146,14 +146,21 @@ public:
LinearOperatorBase<FineField> &_Linop;
RealD _coarse_relax_tol;
std::vector<FineField> &_subspace;
int _largestEvalIdxForReport; //The convergence of the LCL is based on the evals of the coarse grid operator, not those of the underlying fine grid operator
//As a result we do not know what the eval range of the fine operator is until the very end, making tuning the Cheby bounds very difficult
//To work around this issue, every restart we separately reconstruct the fine operator eval for the lowest and highest evec and print these
//out alongside the evals of the coarse operator. To do so we need to know the index of the largest eval (i.e. Nstop-1)
//NOTE: If largestEvalIdxForReport=-1 (default) then this is not performed
ImplicitlyRestartedLanczosSmoothedTester(LinearFunction<CoarseField> &Poly,
OperatorFunction<FineField> &smoother,
LinearOperatorBase<FineField> &Linop,
std::vector<FineField> &subspace,
RealD coarse_relax_tol=5.0e3)
RealD coarse_relax_tol=5.0e3,
int largestEvalIdxForReport=-1)
: _smoother(smoother), _Linop(Linop), _Poly(Poly), _subspace(subspace),
_coarse_relax_tol(coarse_relax_tol)
_coarse_relax_tol(coarse_relax_tol), _largestEvalIdxForReport(largestEvalIdxForReport)
{ };
//evalMaxApprox: approximation of largest eval of the fine Chebyshev operator (suitably wrapped by block projection)
@ -179,6 +186,12 @@ public:
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<std::endl;
if(_largestEvalIdxForReport != -1 && (j==0 || j==_largestEvalIdxForReport)){
std::cout<<GridLogIRL << "Estimating true eval of fine grid operator for eval idx " << j << std::endl;
RealD tmp_eval;
ReconstructEval(j,eresid,B,tmp_eval,1.0); //don't use evalMaxApprox of coarse operator! (cf below)
}
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
return conv;
@ -409,7 +422,7 @@ public:
//////////////////////////////////////////////////////////////////////////////////////////////////
Chebyshev<FineField> ChebySmooth(cheby_smooth); //lower order Chebyshev of fine operator on fine grid used to smooth regenerated eigenvectors
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax);
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax,Nstop-1);
evals_coarse.resize(Nm);
evec_coarse.resize(Nm,_CoarseGrid);

2
Grid/qcd/observables/topological_charge.h
View File

@ -99,7 +99,7 @@ public:
// using wilson flow by default here
WilsonFlow<PeriodicGimplR> WF(Pars.Smearing.steps, Pars.Smearing.step_size, Pars.Smearing.meas_interval);
WF.smear_adaptive(Usmear, U, Pars.Smearing.maxTau);
Real T0 = WF.energyDensityPlaquette(Usmear);
Real T0 = WF.energyDensityPlaquette(Pars.Smearing.maxTau, Usmear);
std::cout << GridLogMessage << std::setprecision(std::numeric_limits<Real>::digits10 + 1)
<< "T0 : [ " << traj << " ] "<< T0 << std::endl;
}

200
Grid/qcd/smearing/WilsonFlow.h
View File

@ -7,6 +7,7 @@ Source file: ./lib/qcd/modules/plaquette.h
Copyright (C) 2017
Author: Guido Cossu <guido.cossu@ed.ac.uk>
Author: Christopher Kelly <ckelly@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@ -33,28 +34,44 @@ NAMESPACE_BEGIN(Grid);
template <class Gimpl>
class WilsonFlow: public Smear<Gimpl>{
public:
//Store generic measurements to take during smearing process using std::function
typedef std::function<void(int, RealD, const typename Gimpl::GaugeField &)> FunctionType; //int: step, RealD: flow time, GaugeField : the gauge field
private:
unsigned int Nstep;
unsigned int measure_interval;
mutable RealD epsilon, taus;
RealD epsilon; //for regular smearing this is the time step, for adaptive it is the initial time step
std::vector< std::pair<int, FunctionType> > functions; //The int maps to the measurement frequency
mutable WilsonGaugeAction<Gimpl> SG;
void evolve_step(typename Gimpl::GaugeField&) const;
void evolve_step_adaptive(typename Gimpl::GaugeField&, RealD);
RealD tau(unsigned int t)const {return epsilon*(t+1.0); }
//Evolve the gauge field by 1 step and update tau
void evolve_step(typename Gimpl::GaugeField &U, RealD &tau) const;
//Evolve the gauge field by 1 step and update tau and the current time step eps
void evolve_step_adaptive(typename Gimpl::GaugeField&U, RealD &tau, RealD &eps, RealD maxTau) const;
public:
INHERIT_GIMPL_TYPES(Gimpl)
void resetActions(){ functions.clear(); }
void addMeasurement(int meas_interval, FunctionType meas){ functions.push_back({meas_interval, meas}); }
//Set the class to perform the default measurements:
//the plaquette energy density every step
//the plaquette topological charge every 'topq_meas_interval' steps
//and output to stdout
void setDefaultMeasurements(int topq_meas_interval = 1);
explicit WilsonFlow(unsigned int Nstep, RealD epsilon, unsigned int interval = 1):
Nstep(Nstep),
epsilon(epsilon),
measure_interval(interval),
SG(WilsonGaugeAction<Gimpl>(3.0)) {
// WilsonGaugeAction with beta 3.0
assert(epsilon > 0.0);
LogMessage();
setDefaultMeasurements(interval);
}
void LogMessage() {
@ -73,9 +90,29 @@ public:
// undefined for WilsonFlow
}
void smear_adaptive(GaugeField&, const GaugeField&, RealD maxTau);
RealD energyDensityPlaquette(unsigned int step, const GaugeField& U) const;
RealD energyDensityPlaquette(const GaugeField& U) const;
void smear_adaptive(GaugeField&, const GaugeField&, RealD maxTau) const;
//Compute t^2 <E(t)> for time t from the plaquette
static RealD energyDensityPlaquette(const RealD t, const GaugeField& U);
//Compute t^2 <E(t)> for time t from the 1x1 cloverleaf form
//t is the Wilson flow time
static RealD energyDensityCloverleaf(const RealD t, const GaugeField& U);
//Evolve the gauge field by Nstep steps of epsilon and return the energy density computed every interval steps
//The smeared field is output as V
std::vector<RealD> flowMeasureEnergyDensityPlaquette(GaugeField &V, const GaugeField& U, int measure_interval = 1);
//Version that does not return the smeared field
std::vector<RealD> flowMeasureEnergyDensityPlaquette(const GaugeField& U, int measure_interval = 1);
//Evolve the gauge field by Nstep steps of epsilon and return the Cloverleaf energy density computed every interval steps
//The smeared field is output as V
std::vector<RealD> flowMeasureEnergyDensityCloverleaf(GaugeField &V, const GaugeField& U, int measure_interval = 1);
//Version that does not return the smeared field
std::vector<RealD> flowMeasureEnergyDensityCloverleaf(const GaugeField& U, int measure_interval = 1);
};
@ -83,7 +120,7 @@ public:
// Implementations
////////////////////////////////////////////////////////////////////////////////
template <class Gimpl>
void WilsonFlow<Gimpl>::evolve_step(typename Gimpl::GaugeField &U) const{
void WilsonFlow<Gimpl>::evolve_step(typename Gimpl::GaugeField &U, RealD &tau) const{
GaugeField Z(U.Grid());
GaugeField tmp(U.Grid());
SG.deriv(U, Z);
@ -99,12 +136,13 @@ void WilsonFlow<Gimpl>::evolve_step(typename Gimpl::GaugeField &U) const{
SG.deriv(U, tmp); Z += tmp; // 4/3*(17/36*Z0 -8/9*Z1) +Z2
Z *= 3.0/4.0; // Z = 17/36*Z0 -8/9*Z1 +3/4*Z2
Gimpl::update_field(Z, U, -2.0*epsilon); // V(t+e) = exp(ep*Z)*W2
tau += epsilon;
}
template <class Gimpl>
void WilsonFlow<Gimpl>::evolve_step_adaptive(typename Gimpl::GaugeField &U, RealD maxTau) {
if (maxTau - taus < epsilon){
epsilon = maxTau-taus;
void WilsonFlow<Gimpl>::evolve_step_adaptive(typename Gimpl::GaugeField &U, RealD &tau, RealD &eps, RealD maxTau) const{
if (maxTau - tau < eps){
eps = maxTau-tau;
}
//std::cout << GridLogMessage << "Integration epsilon : " << epsilon << std::endl;
GaugeField Z(U.Grid());
@ -114,95 +152,151 @@ void WilsonFlow<Gimpl>::evolve_step_adaptive(typename Gimpl::GaugeField &U, Real
SG.deriv(U, Z);
Zprime = -Z;
Z *= 0.25; // Z0 = 1/4 * F(U)
Gimpl::update_field(Z, U, -2.0*epsilon); // U = W1 = exp(ep*Z0)*W0
Gimpl::update_field(Z, U, -2.0*eps); // U = W1 = exp(ep*Z0)*W0
Z *= -17.0/8.0;
SG.deriv(U, tmp); Z += tmp; // -17/32*Z0 +Z1
Zprime += 2.0*tmp;
Z *= 8.0/9.0; // Z = -17/36*Z0 +8/9*Z1
Gimpl::update_field(Z, U, -2.0*epsilon); // U_= W2 = exp(ep*Z)*W1
Gimpl::update_field(Z, U, -2.0*eps); // U_= W2 = exp(ep*Z)*W1
Z *= -4.0/3.0;
SG.deriv(U, tmp); Z += tmp; // 4/3*(17/36*Z0 -8/9*Z1) +Z2
Z *= 3.0/4.0; // Z = 17/36*Z0 -8/9*Z1 +3/4*Z2
Gimpl::update_field(Z, U, -2.0*epsilon); // V(t+e) = exp(ep*Z)*W2
Gimpl::update_field(Z, U, -2.0*eps); // V(t+e) = exp(ep*Z)*W2
// Ramos
Gimpl::update_field(Zprime, Uprime, -2.0*epsilon); // V'(t+e) = exp(ep*Z')*W0
Gimpl::update_field(Zprime, Uprime, -2.0*eps); // V'(t+e) = exp(ep*Z')*W0
// Compute distance as norm^2 of the difference
GaugeField diffU = U - Uprime;
RealD diff = norm2(diffU);
// adjust integration step
taus += epsilon;
tau += eps;
//std::cout << GridLogMessage << "Adjusting integration step with distance: " << diff << std::endl;
epsilon = epsilon*0.95*std::pow(1e-4/diff,1./3.);
eps = eps*0.95*std::pow(1e-4/diff,1./3.);
//std::cout << GridLogMessage << "New epsilon : " << epsilon << std::endl;
}
template <class Gimpl>
RealD WilsonFlow<Gimpl>::energyDensityPlaquette(unsigned int step, const GaugeField& U) const {
RealD td = tau(step);
return 2.0 * td * td * SG.S(U)/U.Grid()->gSites();
RealD WilsonFlow<Gimpl>::energyDensityPlaquette(const RealD t, const GaugeField& U){
static WilsonGaugeAction<Gimpl> SG(3.0);
return 2.0 * t * t * SG.S(U)/U.Grid()->gSites();
}
//Compute t^2 <E(t)> for time from the 1x1 cloverleaf form
template <class Gimpl>
RealD WilsonFlow<Gimpl>::energyDensityCloverleaf(const RealD t, const GaugeField& U){
typedef typename Gimpl::GaugeLinkField GaugeMat;
typedef typename Gimpl::GaugeField GaugeLorentz;
assert(Nd == 4);
//E = 1/2 tr( F_munu F_munu )
//However as F_numu = -F_munu, only need to sum the trace of the squares of the following 6 field strengths:
//F_01 F_02 F_03 F_12 F_13 F_23
GaugeMat F(U.Grid());
LatticeComplexD R(U.Grid());
R = Zero();
for(int mu=0;mu<3;mu++){
for(int nu=mu+1;nu<4;nu++){
WilsonLoops<Gimpl>::FieldStrength(F, U, mu, nu);
R = R + trace(F*F);
}
}
ComplexD out = sum(R);
out = t*t*out / RealD(U.Grid()->gSites());
return -real(out); //minus sign necessary for +ve energy
}
template <class Gimpl>
std::vector<RealD> WilsonFlow<Gimpl>::flowMeasureEnergyDensityPlaquette(GaugeField &V, const GaugeField& U, int measure_interval){
std::vector<RealD> out;
resetActions();
addMeasurement(measure_interval, [&out](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Computing plaquette energy density for step " << step << std::endl;
out.push_back( energyDensityPlaquette(t,U) );
});
smear(V,U);
return out;
}
template <class Gimpl>
RealD WilsonFlow<Gimpl>::energyDensityPlaquette(const GaugeField& U) const {
return 2.0 * taus * taus * SG.S(U)/U.Grid()->gSites();
std::vector<RealD> WilsonFlow<Gimpl>::flowMeasureEnergyDensityPlaquette(const GaugeField& U, int measure_interval){
GaugeField V(U);
return flowMeasureEnergyDensityPlaquette(V,U, measure_interval);
}
template <class Gimpl>
std::vector<RealD> WilsonFlow<Gimpl>::flowMeasureEnergyDensityCloverleaf(GaugeField &V, const GaugeField& U, int measure_interval){
std::vector<RealD> out;
resetActions();
addMeasurement(measure_interval, [&out](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Computing Cloverleaf energy density for step " << step << std::endl;
out.push_back( energyDensityCloverleaf(t,U) );
});
smear(V,U);
return out;
}
template <class Gimpl>
std::vector<RealD> WilsonFlow<Gimpl>::flowMeasureEnergyDensityCloverleaf(const GaugeField& U, int measure_interval){
GaugeField V(U);
return flowMeasureEnergyDensityCloverleaf(V,U, measure_interval);
}
//#define WF_TIMING
template <class Gimpl>
void WilsonFlow<Gimpl>::smear(GaugeField& out, const GaugeField& in) const {
void WilsonFlow<Gimpl>::smear(GaugeField& out, const GaugeField& in) const{
out = in;
for (unsigned int step = 1; step <= Nstep; step++) {
RealD taus = 0.;
for (unsigned int step = 1; step <= Nstep; step++) { //step indicates the number of smearing steps applied at the time of measurement
auto start = std::chrono::high_resolution_clock::now();
evolve_step(out);
evolve_step(out, taus);
auto end = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> diff = end - start;
#ifdef WF_TIMING
std::cout << "Time to evolve " << diff.count() << " s\n";
#endif
std::cout << GridLogMessage << "[WilsonFlow] Energy density (plaq) : "
<< step << " " << tau(step) << " "
<< energyDensityPlaquette(step,out) << std::endl;
if( step % measure_interval == 0){
std::cout << GridLogMessage << "[WilsonFlow] Top. charge : "
<< step << " "
<< WilsonLoops<PeriodicGimplR>::TopologicalCharge(out) << std::endl;
}
//Perform measurements
for(auto const &meas : functions)
if( step % meas.first == 0 ) meas.second(step,taus,out);
}
}
template <class Gimpl>
void WilsonFlow<Gimpl>::smear_adaptive(GaugeField& out, const GaugeField& in, RealD maxTau){
void WilsonFlow<Gimpl>::smear_adaptive(GaugeField& out, const GaugeField& in, RealD maxTau) const{
out = in;
taus = epsilon;
RealD taus = 0.;
RealD eps = epsilon;
unsigned int step = 0;
do{
step++;
//std::cout << GridLogMessage << "Evolution time :"<< taus << std::endl;
evolve_step_adaptive(out, maxTau);
std::cout << GridLogMessage << "[WilsonFlow] Energy density (plaq) : "
<< step << " " << taus << " "
<< energyDensityPlaquette(out) << std::endl;
if( step % measure_interval == 0){
std::cout << GridLogMessage << "[WilsonFlow] Top. charge : "
<< step << " "
<< WilsonLoops<PeriodicGimplR>::TopologicalCharge(out) << std::endl;
}
evolve_step_adaptive(out, taus, eps, maxTau);
//Perform measurements
for(auto const &meas : functions)
if( step % meas.first == 0 ) meas.second(step,taus,out);
} while (taus < maxTau);
}
template <class Gimpl>
void WilsonFlow<Gimpl>::setDefaultMeasurements(int topq_meas_interval){
addMeasurement(1, [](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Energy density (plaq) : " << step << " " << t << " " << energyDensityPlaquette(t,U) << std::endl;
});
addMeasurement(topq_meas_interval, [](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Top. charge : " << step << " " << WilsonLoops<Gimpl>::TopologicalCharge(U) << std::endl;
});
}
NAMESPACE_END(Grid);

41
Grid/tensors/Tensor_extract_merge.h
View File

@ -208,5 +208,46 @@ void merge(vobj &vec,const ExtractPointerArray<sobj> &extracted, int offset)
}
//////////////////////////////////////////////////////////////////////////////////
//Copy a single lane of a SIMD tensor type from one object to another
//Output object must be of the same tensor type but may be of a different precision (i.e. it can have a different root data type)
///////////////////////////////////////////////////////////////////////////////////
template<class vobjOut, class vobjIn>
accelerator_inline
void copyLane(vobjOut & __restrict__ vecOut, int lane_out, const vobjIn & __restrict__ vecIn, int lane_in)
{
static_assert( std::is_same<typename vobjOut::DoublePrecision, typename vobjIn::DoublePrecision>::value == 1, "copyLane: tensor types must be the same" ); //if tensor types are same the DoublePrecision type must be the same
typedef typename vobjOut::vector_type ovector_type;
typedef typename vobjIn::vector_type ivector_type;
constexpr int owords=sizeof(vobjOut)/sizeof(ovector_type);
constexpr int iwords=sizeof(vobjIn)/sizeof(ivector_type);
static_assert( owords == iwords, "copyLane: Expected number of vector words in input and output objects to be equal" );
typedef typename vobjOut::scalar_type oscalar_type;
typedef typename vobjIn::scalar_type iscalar_type;
typedef typename ExtractTypeMap<oscalar_type>::extract_type oextract_type;
typedef typename ExtractTypeMap<iscalar_type>::extract_type iextract_type;
typedef oextract_type * opointer;
typedef iextract_type * ipointer;
constexpr int oNsimd=ovector_type::Nsimd();
constexpr int iNsimd=ivector_type::Nsimd();
iscalar_type itmp;
oscalar_type otmp;
opointer __restrict__ op = (opointer)&vecOut;
ipointer __restrict__ ip = (ipointer)&vecIn;
for(int w=0;w<owords;w++){
memcpy( (char*)&itmp, (char*)(ip + lane_in + iNsimd*w), sizeof(iscalar_type) );
otmp = itmp; //potential precision change
memcpy( (char*)(op + lane_out + oNsimd*w), (char*)&otmp, sizeof(oscalar_type) );
}
}
NAMESPACE_END(Grid);

918
HMC/Mobius2p1fIDSDRGparityEOFA_40ID.cc Normal file
View File

@ -0,0 +1,918 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./HMC/Mobius2p1fIDSDRGparityEOFA.cc
Copyright (C) 2015-2016
Author: Christopher Kelly <ckelly@bnl.gov>
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
//Production binary for the 40ID G-parity ensemble
struct RatQuoParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(RatQuoParameters,
double, bnd_lo,
double, bnd_hi,
Integer, action_degree,
double, action_tolerance,
Integer, md_degree,
double, md_tolerance,
Integer, reliable_update_freq,
Integer, bnd_check_freq);
RatQuoParameters() {
bnd_lo = 1e-2;
bnd_hi = 30;
action_degree = 10;
action_tolerance = 1e-10;
md_degree = 10;
md_tolerance = 1e-8;
bnd_check_freq = 20;
reliable_update_freq = 50;
}
void Export(RationalActionParams &into) const{
into.lo = bnd_lo;
into.hi = bnd_hi;
into.action_degree = action_degree;
into.action_tolerance = action_tolerance;
into.md_degree = md_degree;
into.md_tolerance = md_tolerance;
into.BoundsCheckFreq = bnd_check_freq;
}
};
struct EOFAparameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(EOFAparameters,
OneFlavourRationalParams, rat_params,
double, action_tolerance,
double, action_mixcg_inner_tolerance,
double, md_tolerance,
double, md_mixcg_inner_tolerance);
EOFAparameters() {
action_mixcg_inner_tolerance = 1e-8;
action_tolerance = 1e-10;
md_tolerance = 1e-8;
md_mixcg_inner_tolerance = 1e-8;
rat_params.lo = 1.0;
rat_params.hi = 25.0;
rat_params.MaxIter = 50000;
rat_params.tolerance= 1.0e-9;
rat_params.degree = 14;
rat_params.precision= 50;
}
};
struct EvolParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(EvolParameters,
Integer, StartTrajectory,
Integer, Trajectories,
Integer, SaveInterval,
Integer, Steps,
RealD, TrajectoryLength,
bool, MetropolisTest,
std::string, StartingType,
std::vector<Integer>, GparityDirs,
std::vector<EOFAparameters>, eofa_l,
RatQuoParameters, rat_quo_s,
RatQuoParameters, rat_quo_DSDR);
EvolParameters() {
//For initial thermalization; afterwards user should switch Metropolis on and use StartingType=CheckpointStart
MetropolisTest = false;
StartTrajectory = 0;
Trajectories = 50;
SaveInterval = 5;
StartingType = "ColdStart";
GparityDirs.resize(3, 1); //1 for G-parity, 0 for periodic
Steps = 5;
TrajectoryLength = 1.0;
}
};
bool fileExists(const std::string &fn){
std::ifstream f(fn);
return f.good();
}
struct LanczosParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(LanczosParameters,
double, alpha,
double, beta,
double, mu,
int, ord,
int, n_stop,
int, n_want,
int, n_use,
double, tolerance);
LanczosParameters() {
alpha = 35;
beta = 5;
mu = 0;
ord = 100;
n_stop = 10;
n_want = 10;
n_use = 15;
tolerance = 1e-6;
}
};
template<typename FermionActionD, typename FermionFieldD>
void computeEigenvalues(std::string param_file,
GridCartesian* Grid, GridRedBlackCartesian* rbGrid, const LatticeGaugeFieldD &latt, //expect lattice to have been initialized to something
FermionActionD &action, GridParallelRNG &rng){
LanczosParameters params;
if(fileExists(param_file)){
std::cout << GridLogMessage << " Reading " << param_file << std::endl;
Grid::XmlReader rd(param_file);
read(rd, "LanczosParameters", params);
}else if(!GlobalSharedMemory::WorldRank){
std::cout << GridLogMessage << " File " << param_file << " does not exist" << std::endl;
std::cout << GridLogMessage << " Writing xml template to " << param_file << ".templ" << std::endl;
Grid::XmlWriter wr(param_file + ".templ");
write(wr, "LanczosParameters", params);
}
FermionFieldD gauss_o(rbGrid);
FermionFieldD gauss(Grid);
gaussian(rng, gauss);
pickCheckerboard(Odd, gauss_o, gauss);
action.ImportGauge(latt);
SchurDiagMooeeOperator<FermionActionD, FermionFieldD> hermop(action);
PlainHermOp<FermionFieldD> hermop_wrap(hermop);
//ChebyshevLanczos<FermionFieldD> Cheb(params.alpha, params.beta, params.mu, params.ord);
assert(params.mu == 0.0);
Chebyshev<FermionFieldD> Cheb(params.beta*params.beta, params.alpha*params.alpha, params.ord+1);
FunctionHermOp<FermionFieldD> Cheb_wrap(Cheb, hermop);
std::cout << "IRL: alpha=" << params.alpha << " beta=" << params.beta << " mu=" << params.mu << " ord=" << params.ord << std::endl;
ImplicitlyRestartedLanczos<FermionFieldD> IRL(Cheb_wrap, hermop_wrap, params.n_stop, params.n_want, params.n_use, params.tolerance, 50000);
std::vector<RealD> eval(params.n_use);
std::vector<FermionFieldD> evec(params.n_use, rbGrid);
int Nconv;
IRL.calc(eval, evec, gauss_o, Nconv);
std::cout << "Eigenvalues:" << std::endl;
for(int i=0;i<params.n_want;i++){
std::cout << i << " " << eval[i] << std::endl;
}
}
//Check the quality of the RHMC approx
//action_or_md toggles checking the action (0), MD (1) or both (2) setups
template<typename FermionActionD, typename FermionFieldD, typename RHMCtype>
void checkRHMC(GridCartesian* Grid, GridRedBlackCartesian* rbGrid, const LatticeGaugeFieldD &latt, //expect lattice to have been initialized to something
FermionActionD &numOp, FermionActionD &denOp, RHMCtype &rhmc, GridParallelRNG &rng,
int inv_pow, const std::string &quark_descr, int action_or_md){
assert(action_or_md == 0 || action_or_md == 1 || action_or_md == 2);
FermionFieldD gauss_o(rbGrid);
FermionFieldD gauss(Grid);
gaussian(rng, gauss);
pickCheckerboard(Odd, gauss_o, gauss);
numOp.ImportGauge(latt);
denOp.ImportGauge(latt);
typedef typename FermionActionD::Impl_t FermionImplPolicyD;
SchurDifferentiableOperator<FermionImplPolicyD> MdagM(numOp);
SchurDifferentiableOperator<FermionImplPolicyD> VdagV(denOp);
PowerMethod<FermionFieldD> power_method;
RealD lambda_max;
std::cout << "Starting: Get RHMC high bound approx for " << quark_descr << " numerator" << std::endl;
lambda_max = power_method(MdagM,gauss_o);
std::cout << GridLogMessage << "Got lambda_max "<<lambda_max<<std::endl;
std::cout << "Starting: Get RHMC high bound approx for " << quark_descr << " denominator" << std::endl;
lambda_max = power_method(VdagV,gauss_o);
std::cout << GridLogMessage << "Got lambda_max "<<lambda_max<<std::endl;
if(action_or_md == 0 || action_or_md == 2){
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 50000, 1e16, MdagM,gauss_o, rhmc.ApproxNegPowerAction); //use large tolerance to prevent exit on fail; we are trying to tune here!
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 50000, 1e16, MdagM,gauss_o, rhmc.ApproxNegHalfPowerAction);
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 50000, 1e16, VdagV,gauss_o, rhmc.ApproxNegPowerAction);
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 50000, 1e16, VdagV,gauss_o, rhmc.ApproxNegHalfPowerAction);
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
}
std::cout << "-------------------------------------------------------------------------------" << std::endl;
if(action_or_md == 1 || action_or_md == 2){
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 50000, 1e16, MdagM,gauss_o, rhmc.ApproxNegPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 50000, 1e16, MdagM,gauss_o, rhmc.ApproxNegHalfPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 50000, 1e16, VdagV,gauss_o, rhmc.ApproxNegPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 50000, 1e16, VdagV,gauss_o, rhmc.ApproxNegHalfPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
}
}
template<typename FermionImplPolicy>
void checkEOFA(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA,
GridCartesian* FGrid, GridParallelRNG &rng, const LatticeGaugeFieldD &latt){
std::cout << GridLogMessage << "Starting EOFA action/bounds check" << std::endl;
typename FermionImplPolicy::FermionField eta(FGrid);
RealD scale = std::sqrt(0.5);
gaussian(rng,eta); eta = eta * scale;
//Use the inbuilt check
EOFA.refresh(latt, eta);
EOFA.S(latt);
std::cout << GridLogMessage << "Finished EOFA upper action/bounds check" << std::endl;
}
template<typename FermionImplPolicy>
class EOFAlinop: public LinearOperatorBase<typename FermionImplPolicy::FermionField>{
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA;
LatticeGaugeFieldD &U;
public:
EOFAlinop(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA, LatticeGaugeFieldD &U): EOFA(EOFA), U(U){}
typedef typename FermionImplPolicy::FermionField Field;
void OpDiag (const Field &in, Field &out){ assert(0); }
void OpDir (const Field &in, Field &out,int dir,int disp){ assert(0); }
void OpDirAll (const Field &in, std::vector<Field> &out){ assert(0); }
void Op (const Field &in, Field &out){ assert(0); }
void AdjOp (const Field &in, Field &out){ assert(0); }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){ EOFA.Meofa(U, in, out); }
};
template<typename FermionImplPolicy>
void upperBoundEOFA(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA,
GridCartesian* FGrid, GridParallelRNG &rng, LatticeGaugeFieldD &latt){
std::cout << GridLogMessage << "Starting EOFA upper bound compute" << std::endl;
EOFAlinop<FermionImplPolicy> linop(EOFA, latt);
typename FermionImplPolicy::FermionField eta(FGrid);
gaussian(rng,eta);
PowerMethod<typename FermionImplPolicy::FermionField> power_method;
auto lambda_max = power_method(linop,eta);
std::cout << GridLogMessage << "Upper bound of EOFA operator " << lambda_max << std::endl;
}
//Applications of M^{-1} cost the same as M for EOFA!
template<typename FermionImplPolicy>
class EOFAinvLinop: public LinearOperatorBase<typename FermionImplPolicy::FermionField>{
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA;
LatticeGaugeFieldD &U;
public:
EOFAinvLinop(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA, LatticeGaugeFieldD &U): EOFA(EOFA), U(U){}
typedef typename FermionImplPolicy::FermionField Field;
void OpDiag (const Field &in, Field &out){ assert(0); }
void OpDir (const Field &in, Field &out,int dir,int disp){ assert(0); }
void OpDirAll (const Field &in, std::vector<Field> &out){ assert(0); }
void Op (const Field &in, Field &out){ assert(0); }
void AdjOp (const Field &in, Field &out){ assert(0); }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){ EOFA.MeofaInv(U, in, out); }
};
template<typename FermionImplPolicy>
void lowerBoundEOFA(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA,
GridCartesian* FGrid, GridParallelRNG &rng, LatticeGaugeFieldD &latt){
std::cout << GridLogMessage << "Starting EOFA lower bound compute using power method on M^{-1}. Inverse of highest eigenvalue is the lowest eigenvalue of M" << std::endl;
EOFAinvLinop<FermionImplPolicy> linop(EOFA, latt);
typename FermionImplPolicy::FermionField eta(FGrid);
gaussian(rng,eta);
PowerMethod<typename FermionImplPolicy::FermionField> power_method;
auto lambda_max = power_method(linop,eta);
std::cout << GridLogMessage << "Lower bound of EOFA operator " << 1./lambda_max << std::endl;
}
NAMESPACE_BEGIN(Grid);
template<class FermionOperatorD, class FermionOperatorF, class SchurOperatorD, class SchurOperatorF>
class MixedPrecisionConjugateGradientOperatorFunction : public OperatorFunction<typename FermionOperatorD::FermionField> {
public:
typedef typename FermionOperatorD::FermionField FieldD;
typedef typename FermionOperatorF::FermionField FieldF;
using OperatorFunction<FieldD>::operator();
RealD Tolerance;
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations;
Integer MaxOuterIterations;
GridBase* SinglePrecGrid4; //Grid for single-precision fields
GridBase* SinglePrecGrid5; //Grid for single-precision fields
RealD OuterLoopNormMult; //Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
FermionOperatorF &FermOpF;
FermionOperatorD &FermOpD;;
SchurOperatorF &LinOpF;
SchurOperatorD &LinOpD;
Integer TotalInnerIterations; //Number of inner CG iterations
Integer TotalOuterIterations; //Number of restarts
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
MixedPrecisionConjugateGradientOperatorFunction(RealD tol,
Integer maxinnerit,
Integer maxouterit,
GridBase* _sp_grid4,
GridBase* _sp_grid5,
FermionOperatorF &_FermOpF,
FermionOperatorD &_FermOpD,
SchurOperatorF &_LinOpF,
SchurOperatorD &_LinOpD):
LinOpF(_LinOpF),
LinOpD(_LinOpD),
FermOpF(_FermOpF),
FermOpD(_FermOpD),
Tolerance(tol),
InnerTolerance(tol),
MaxInnerIterations(maxinnerit),
MaxOuterIterations(maxouterit),
SinglePrecGrid4(_sp_grid4),
SinglePrecGrid5(_sp_grid5),
OuterLoopNormMult(100.)
{
};
void operator()(LinearOperatorBase<FieldD> &LinOpU, const FieldD &src, FieldD &psi) {
std::cout << GridLogMessage << " Mixed precision CG wrapper operator() "<<std::endl;
SchurOperatorD * SchurOpU = static_cast<SchurOperatorD *>(&LinOpU);
assert(&(SchurOpU->_Mat)==&(LinOpD._Mat));
precisionChange(FermOpF.Umu, FermOpD.Umu);
pickCheckerboard(Even,FermOpF.UmuEven,FermOpF.Umu);
pickCheckerboard(Odd ,FermOpF.UmuOdd ,FermOpF.Umu);
////////////////////////////////////////////////////////////////////////////////////
// Make a mixed precision conjugate gradient
////////////////////////////////////////////////////////////////////////////////////
MixedPrecisionConjugateGradient<FieldD,FieldF> MPCG(Tolerance,MaxInnerIterations,MaxOuterIterations,SinglePrecGrid5,LinOpF,LinOpD);
MPCG.InnerTolerance = InnerTolerance;
std::cout << GridLogMessage << "Calling mixed precision Conjugate Gradient" <<std::endl;
MPCG(src,psi);
}
};
template<class FermionOperatorD, class FermionOperatorF, class SchurOperatorD, class SchurOperatorF>
class MixedPrecisionReliableUpdateConjugateGradientOperatorFunction : public OperatorFunction<typename FermionOperatorD::FermionField> {
public:
typedef typename FermionOperatorD::FermionField FieldD;
typedef typename FermionOperatorF::FermionField FieldF;
using OperatorFunction<FieldD>::operator();
RealD Tolerance;
Integer MaxIterations;
RealD Delta; //reliable update parameter
GridBase* SinglePrecGrid4; //Grid for single-precision fields
GridBase* SinglePrecGrid5; //Grid for single-precision fields
FermionOperatorF &FermOpF;
FermionOperatorD &FermOpD;;
SchurOperatorF &LinOpF;
SchurOperatorD &LinOpD;
MixedPrecisionReliableUpdateConjugateGradientOperatorFunction(RealD tol,
RealD delta,
Integer maxit,
GridBase* _sp_grid4,
GridBase* _sp_grid5,
FermionOperatorF &_FermOpF,
FermionOperatorD &_FermOpD,
SchurOperatorF &_LinOpF,
SchurOperatorD &_LinOpD):
LinOpF(_LinOpF),
LinOpD(_LinOpD),
FermOpF(_FermOpF),
FermOpD(_FermOpD),
Tolerance(tol),
Delta(delta),
MaxIterations(maxit),
SinglePrecGrid4(_sp_grid4),
SinglePrecGrid5(_sp_grid5)
{
};
void operator()(LinearOperatorBase<FieldD> &LinOpU, const FieldD &src, FieldD &psi) {
std::cout << GridLogMessage << " Mixed precision reliable CG update wrapper operator() "<<std::endl;
SchurOperatorD * SchurOpU = static_cast<SchurOperatorD *>(&LinOpU);
assert(&(SchurOpU->_Mat)==&(LinOpD._Mat));
precisionChange(FermOpF.Umu, FermOpD.Umu);
pickCheckerboard(Even,FermOpF.UmuEven,FermOpF.Umu);
pickCheckerboard(Odd ,FermOpF.UmuOdd ,FermOpF.Umu);
////////////////////////////////////////////////////////////////////////////////////
// Make a mixed precision conjugate gradient
////////////////////////////////////////////////////////////////////////////////////
ConjugateGradientReliableUpdate<FieldD,FieldF> MPCG(Tolerance,MaxIterations,Delta,SinglePrecGrid5,LinOpF,LinOpD);
std::cout << GridLogMessage << "Calling mixed precision reliable update Conjugate Gradient" <<std::endl;
MPCG(src,psi);
}
};
NAMESPACE_END(Grid);
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
std::string param_file = "params.xml";
bool file_load_check = false;
std::string serial_seeds = "1 2 3 4 5";
std::string parallel_seeds = "6 7 8 9 10";
int i=1;
while(i < argc){
std::string sarg(argv[i]);
if(sarg == "--param_file"){
assert(i!=argc-1);
param_file = argv[i+1];
i+=2;
}else if(sarg == "--read_check"){ //check the fields load correctly and pass checksum/plaquette repro
file_load_check = true;
i++;
}else if(sarg == "--set_seeds"){ //set the rng seeds. Expects two vector args, e.g. --set_seeds 1.2.3.4 5.6.7.8
assert(i < argc-2);
std::vector<int> tmp;
GridCmdOptionIntVector(argv[i+1],tmp);
{
std::stringstream ss;
for(int j=0;j<tmp.size()-1;j++) ss << tmp[j] << " ";
ss << tmp.back();
serial_seeds = ss.str();
}
GridCmdOptionIntVector(argv[i+2],tmp);
{
std::stringstream ss;
for(int j=0;j<tmp.size()-1;j++) ss << tmp[j] << " ";
ss << tmp.back();
parallel_seeds = ss.str();
}
i+=3;
std::cout << GridLogMessage << "Set serial seeds to " << serial_seeds << std::endl;
std::cout << GridLogMessage << "Set parallel seeds to " << parallel_seeds << std::endl;
}else{
i++;
}
}
//Read the user parameters
EvolParameters user_params;
if(fileExists(param_file)){
std::cout << GridLogMessage << " Reading " << param_file << std::endl;
Grid::XmlReader rd(param_file);
read(rd, "Params", user_params);
}else if(!GlobalSharedMemory::WorldRank){
std::cout << GridLogMessage << " File " << param_file << " does not exist" << std::endl;
std::cout << GridLogMessage << " Writing xml template to " << param_file << ".templ" << std::endl;
{
Grid::XmlWriter wr(param_file + ".templ");
write(wr, "Params", user_params);
}
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
}
//Check the parameters
if(user_params.GparityDirs.size() != Nd-1){
std::cerr << "Error in input parameters: expect GparityDirs to have size = " << Nd-1 << std::endl;
exit(1);
}
for(int i=0;i<Nd-1;i++)
if(user_params.GparityDirs[i] != 0 && user_params.GparityDirs[i] != 1){
std::cerr << "Error in input parameters: expect GparityDirs values to be 0 (periodic) or 1 (G-parity)" << std::endl;
exit(1);
}
typedef GparityMobiusEOFAFermionD EOFAactionD;
typedef GparityMobiusFermionD FermionActionD;
typedef typename FermionActionD::Impl_t FermionImplPolicyD;
typedef typename FermionActionD::FermionField FermionFieldD;
typedef GparityMobiusEOFAFermionF EOFAactionF;
typedef GparityMobiusFermionF FermionActionF;
typedef typename FermionActionF::Impl_t FermionImplPolicyF;
typedef typename FermionActionF::FermionField FermionFieldF;
typedef GeneralEvenOddRatioRationalMixedPrecPseudoFermionAction<FermionImplPolicyD,FermionImplPolicyF> MixedPrecRHMC;
typedef GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicyD> DoublePrecRHMC;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
typedef ConjugateHMCRunnerD<MinimumNorm2> HMCWrapper; //NB: This is the "Omelyan integrator"
MD.name = std::string("MinimumNorm2");
// typedef ConjugateHMCRunnerD<ForceGradient> HMCWrapper;
// MD.name = std::string("ForceGradient");
MD.MDsteps = user_params.Steps;
MD.trajL = user_params.TrajectoryLength;
typedef HMCWrapper::ImplPolicy GaugeImplPolicy;
HMCparameters HMCparams;
HMCparams.StartTrajectory = user_params.StartTrajectory;
HMCparams.Trajectories = user_params.Trajectories;
HMCparams.NoMetropolisUntil= 0;
HMCparams.StartingType = user_params.StartingType;
HMCparams.MetropolisTest = user_params.MetropolisTest;
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_lat";
CPparams.rng_prefix = "ckpoint_rng";
CPparams.saveInterval = user_params.SaveInterval;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
//Note that checkpointing saves the RNG state so that this initialization is required only for the very first configuration
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = serial_seeds;
RNGpar.parallel_seeds = parallel_seeds;
TheHMC.Resources.SetRNGSeeds(RNGpar);
typedef PlaquetteMod<GaugeImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
//aiming for ainv=1.723 GeV
// me bob
//Estimated a(ml+mres) [40ID] = 0.001305 0.00131
// a(mh+mres) [40ID] = 0.035910 0.03529
//Estimate Ls=12, b+c=2 mres~0.0011
//1/24/2022 initial mres measurement gives mres=0.001, adjusted light quark mass to 0.0003 from 0.0001
const int Ls = 12;
Real beta = 1.848;
Real light_mass = 0.0003;
Real strange_mass = 0.0342;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD mobius_scale = 2.; //b+c
RealD mob_bmc = 1.0;
RealD mob_b = (mobius_scale + mob_bmc)/2.;
RealD mob_c = (mobius_scale - mob_bmc)/2.;
std::cout << GridLogMessage
<< "Ensemble parameters:" << std::endl
<< "Ls=" << Ls << std::endl
<< "beta=" << beta << std::endl
<< "light_mass=" << light_mass << std::endl
<< "strange_mass=" << strange_mass << std::endl
<< "mobius_scale=" << mobius_scale << std::endl;
//Setup the Grids
auto UGridD = TheHMC.Resources.GetCartesian();
auto UrbGridD = TheHMC.Resources.GetRBCartesian();
auto FGridD = SpaceTimeGrid::makeFiveDimGrid(Ls,UGridD);
auto FrbGridD = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGridD);
GridCartesian* UGridF = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexF::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian* UrbGridF = SpaceTimeGrid::makeFourDimRedBlackGrid(UGridF);
auto FGridF = SpaceTimeGrid::makeFiveDimGrid(Ls,UGridF);
auto FrbGridF = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGridF);
ConjugateIwasakiGaugeActionD GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeFieldD Ud(UGridD);
LatticeGaugeFieldF Uf(UGridF);
//Setup the BCs
FermionActionD::ImplParams Params;
for(int i=0;i<Nd-1;i++) Params.twists[i] = user_params.GparityDirs[i]; //G-parity directions
Params.twists[Nd-1] = 1; //APBC in time direction
std::vector<int> dirs4(Nd);
for(int i=0;i<Nd-1;i++) dirs4[i] = user_params.GparityDirs[i];
dirs4[Nd-1] = 0; //periodic gauge BC in time
GaugeImplPolicy::setDirections(dirs4); //gauge BC
//Run optional gauge field checksum checker and exit
if(file_load_check){
TheHMC.initializeGaugeFieldAndRNGs(Ud);
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
}
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1); //light quark + strange quark
ActionLevel<HMCWrapper::Field> Level2(4); //DSDR
ActionLevel<HMCWrapper::Field> Level3(2); //gauge
/////////////////////////////////////////////////////////////
// Light EOFA action
// have to be careful with the parameters, cf. Test_dwf_gpforce_eofa.cc
/////////////////////////////////////////////////////////////
typedef SchurDiagMooeeOperator<EOFAactionD,FermionFieldD> EOFAschuropD;
typedef SchurDiagMooeeOperator<EOFAactionF,FermionFieldF> EOFAschuropF;
typedef ExactOneFlavourRatioMixedPrecHeatbathPseudoFermionAction<FermionImplPolicyD, FermionImplPolicyF> EOFAmixPrecPFaction;
typedef MixedPrecisionConjugateGradientOperatorFunction<EOFAactionD, EOFAactionF, EOFAschuropD, EOFAschuropF> EOFA_mxCG;
typedef MixedPrecisionReliableUpdateConjugateGradientOperatorFunction<EOFAactionD, EOFAactionF, EOFAschuropD, EOFAschuropF> EOFA_relupCG;
std::vector<RealD> eofa_light_masses = { light_mass , 0.004, 0.016, 0.064, 0.256 };
std::vector<RealD> eofa_pv_masses = { 0.004 , 0.016, 0.064, 0.256, 1.0 };
int n_light_hsb = 5;
assert(user_params.eofa_l.size() == n_light_hsb);
EOFAmixPrecPFaction* EOFA_pfactions[n_light_hsb];
for(int i=0;i<n_light_hsb;i++){
RealD iml = eofa_light_masses[i];
RealD ipv = eofa_pv_masses[i];
EOFAactionD* LopD = new EOFAactionD(Ud, *FGridD, *FrbGridD, *UGridD, *UrbGridD, iml, iml, ipv, 0.0, -1, M5, mob_b, mob_c, Params);
EOFAactionF* LopF = new EOFAactionF(Uf, *FGridF, *FrbGridF, *UGridF, *UrbGridF, iml, iml, ipv, 0.0, -1, M5, mob_b, mob_c, Params);
EOFAactionD* RopD = new EOFAactionD(Ud, *FGridD, *FrbGridD, *UGridD, *UrbGridD, ipv, iml, ipv, -1.0, 1, M5, mob_b, mob_c, Params);
EOFAactionF* RopF = new EOFAactionF(Uf, *FGridF, *FrbGridF, *UGridF, *UrbGridF, ipv, iml, ipv, -1.0, 1, M5, mob_b, mob_c, Params);
EOFAschuropD* linopL_D = new EOFAschuropD(*LopD);
EOFAschuropD* linopR_D = new EOFAschuropD(*RopD);
EOFAschuropF* linopL_F = new EOFAschuropF(*LopF);
EOFAschuropF* linopR_F = new EOFAschuropF(*RopF);
#if 1
//Note reusing user_params.eofa_l.action(|md)_mixcg_inner_tolerance as Delta for now
EOFA_relupCG* ActionMCG_L = new EOFA_relupCG(user_params.eofa_l[i].action_tolerance, user_params.eofa_l[i].action_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
EOFA_relupCG* ActionMCG_R = new EOFA_relupCG(user_params.eofa_l[i].action_tolerance, user_params.eofa_l[i].action_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
EOFA_relupCG* DerivMCG_L = new EOFA_relupCG(user_params.eofa_l[i].md_tolerance, user_params.eofa_l[i].md_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
EOFA_relupCG* DerivMCG_R = new EOFA_relupCG(user_params.eofa_l[i].md_tolerance, user_params.eofa_l[i].md_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
#else
EOFA_mxCG* ActionMCG_L = new EOFA_mxCG(user_params.eofa_l[i].action_tolerance, 50000, 1000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
ActionMCG_L->InnerTolerance = user_params.eofa_l[i].action_mixcg_inner_tolerance;
EOFA_mxCG* ActionMCG_R = new EOFA_mxCG(user_params.eofa_l[i].action_tolerance, 50000, 1000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
ActionMCG_R->InnerTolerance = user_params.eofa_l[i].action_mixcg_inner_tolerance;
EOFA_mxCG* DerivMCG_L = new EOFA_mxCG(user_params.eofa_l[i].md_tolerance, 50000, 1000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
DerivMCG_L->InnerTolerance = user_params.eofa_l[i].md_mixcg_inner_tolerance;
EOFA_mxCG* DerivMCG_R = new EOFA_mxCG(user_params.eofa_l[i].md_tolerance, 50000, 1000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
DerivMCG_R->InnerTolerance = user_params.eofa_l[i].md_mixcg_inner_tolerance;
std::cout << GridLogMessage << "Set EOFA action solver action tolerance outer=" << ActionMCG_L->Tolerance << " inner=" << ActionMCG_L->InnerTolerance << std::endl;
std::cout << GridLogMessage << "Set EOFA MD solver tolerance outer=" << DerivMCG_L->Tolerance << " inner=" << DerivMCG_L->InnerTolerance << std::endl;
#endif
EOFAmixPrecPFaction* EOFA = new EOFAmixPrecPFaction(*LopF, *RopF,
*LopD, *RopD,
*ActionMCG_L, *ActionMCG_R,
*ActionMCG_L, *ActionMCG_R,
*DerivMCG_L, *DerivMCG_R,
user_params.eofa_l[i].rat_params, true);
EOFA_pfactions[i] = EOFA;
Level1.push_back(EOFA);
}
////////////////////////////////////
// Strange action
////////////////////////////////////
FermionActionD Numerator_sD(Ud,*FGridD,*FrbGridD,*UGridD,*UrbGridD,strange_mass,M5,mob_b,mob_c,Params);
FermionActionD Denominator_sD(Ud,*FGridD,*FrbGridD,*UGridD,*UrbGridD, pv_mass,M5,mob_b,mob_c,Params);
FermionActionF Numerator_sF(Uf,*FGridF,*FrbGridF,*UGridF,*UrbGridF,strange_mass,M5,mob_b,mob_c,Params);
FermionActionF Denominator_sF(Uf,*FGridF,*FrbGridF,*UGridF,*UrbGridF, pv_mass,M5,mob_b,mob_c,Params);
RationalActionParams rat_act_params_s;
rat_act_params_s.inv_pow = 4; // (M^dag M)^{1/4}
rat_act_params_s.precision= 60;
rat_act_params_s.MaxIter = 50000;
user_params.rat_quo_s.Export(rat_act_params_s);
std::cout << GridLogMessage << " Heavy quark bounds check every " << rat_act_params_s.BoundsCheckFreq << " trajectories (avg)" << std::endl;
//MixedPrecRHMC Quotient_s(Denominator_sD, Numerator_sD, Denominator_sF, Numerator_sF, rat_act_params_s, user_params.rat_quo_s.reliable_update_freq);
DoublePrecRHMC Quotient_s(Denominator_sD, Numerator_sD, rat_act_params_s);
Level1.push_back(&Quotient_s);
///////////////////////////////////
// DSDR action
///////////////////////////////////
RealD dsdr_mass=-1.8;
//Use same DSDR twists as https://arxiv.org/pdf/1208.4412.pdf
RealD dsdr_epsilon_f = 0.02; //numerator (in determinant)
RealD dsdr_epsilon_b = 0.5;
GparityWilsonTMFermionD Numerator_DSDR_D(Ud, *UGridD, *UrbGridD, dsdr_mass, dsdr_epsilon_f, Params);
GparityWilsonTMFermionF Numerator_DSDR_F(Uf, *UGridF, *UrbGridF, dsdr_mass, dsdr_epsilon_f, Params);
GparityWilsonTMFermionD Denominator_DSDR_D(Ud, *UGridD, *UrbGridD, dsdr_mass, dsdr_epsilon_b, Params);
GparityWilsonTMFermionF Denominator_DSDR_F(Uf, *UGridF, *UrbGridF, dsdr_mass, dsdr_epsilon_b, Params);
RationalActionParams rat_act_params_DSDR;
rat_act_params_DSDR.inv_pow = 2; // (M^dag M)^{1/2}
rat_act_params_DSDR.precision= 60;
rat_act_params_DSDR.MaxIter = 50000;
user_params.rat_quo_DSDR.Export(rat_act_params_DSDR);
std::cout << GridLogMessage << "DSDR quark bounds check every " << rat_act_params_DSDR.BoundsCheckFreq << " trajectories (avg)" << std::endl;
DoublePrecRHMC Quotient_DSDR(Denominator_DSDR_D, Numerator_DSDR_D, rat_act_params_DSDR);
Level2.push_back(&Quotient_DSDR);
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
Level3.push_back(&GaugeAction);
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
std::cout << GridLogMessage << " Action complete "<< std::endl;
//Action tuning
bool
tune_rhmc_s=false, eigenrange_s=false,
tune_rhmc_DSDR=false, eigenrange_DSDR=false,
check_eofa=false,
upper_bound_eofa=false, lower_bound_eofa(false);
std::string lanc_params_s;
std::string lanc_params_DSDR;
int tune_rhmc_s_action_or_md;
int tune_rhmc_DSDR_action_or_md;
int eofa_which_hsb;
for(int i=1;i<argc;i++){
std::string sarg(argv[i]);
if(sarg == "--tune_rhmc_s"){
assert(i < argc-1);
tune_rhmc_s=true;
tune_rhmc_s_action_or_md = std::stoi(argv[i+1]);
}
else if(sarg == "--eigenrange_s"){
assert(i < argc-1);
eigenrange_s=true;
lanc_params_s = argv[i+1];
}
else if(sarg == "--tune_rhmc_DSDR"){
assert(i < argc-1);
tune_rhmc_DSDR=true;
tune_rhmc_DSDR_action_or_md = std::stoi(argv[i+1]);
}
else if(sarg == "--eigenrange_DSDR"){
assert(i < argc-1);
eigenrange_DSDR=true;
lanc_params_DSDR = argv[i+1];
}
else if(sarg == "--check_eofa"){
assert(i < argc-1);
check_eofa = true;
eofa_which_hsb = std::stoi(argv[i+1]); //-1 indicates all hasenbusch
assert(eofa_which_hsb == -1 || (eofa_which_hsb >= 0 && eofa_which_hsb < n_light_hsb) );
}
else if(sarg == "--upper_bound_eofa"){
assert(i < argc-1);
upper_bound_eofa = true;
eofa_which_hsb = std::stoi(argv[i+1]);
assert(eofa_which_hsb >= 0 && eofa_which_hsb < n_light_hsb);
}
else if(sarg == "--lower_bound_eofa"){
assert(i < argc-1);
lower_bound_eofa = true;
eofa_which_hsb = std::stoi(argv[i+1]);
assert(eofa_which_hsb >= 0 && eofa_which_hsb < n_light_hsb);
}
}
if(tune_rhmc_s || eigenrange_s || tune_rhmc_DSDR || eigenrange_DSDR ||check_eofa || upper_bound_eofa || lower_bound_eofa) {
std::cout << GridLogMessage << "Running checks" << std::endl;
TheHMC.initializeGaugeFieldAndRNGs(Ud);
//std::cout << GridLogMessage << "EOFA action solver action tolerance outer=" << ActionMCG_L.Tolerance << " inner=" << ActionMCG_L.InnerTolerance << std::endl;
//std::cout << GridLogMessage << "EOFA MD solver tolerance outer=" << DerivMCG_L.Tolerance << " inner=" << DerivMCG_L.InnerTolerance << std::endl;
if(check_eofa){
if(eofa_which_hsb >= 0){
std::cout << GridLogMessage << "Starting checking EOFA Hasenbusch " << eofa_which_hsb << std::endl;
checkEOFA(*EOFA_pfactions[eofa_which_hsb], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
std::cout << GridLogMessage << "Finished checking EOFA Hasenbusch " << eofa_which_hsb << std::endl;
}else{
for(int i=0;i<n_light_hsb;i++){
std::cout << GridLogMessage << "Starting checking EOFA Hasenbusch " << i << std::endl;
checkEOFA(*EOFA_pfactions[i], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
std::cout << GridLogMessage << "Finished checking EOFA Hasenbusch " << i << std::endl;
}
}
}
if(upper_bound_eofa) upperBoundEOFA(*EOFA_pfactions[eofa_which_hsb], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
if(lower_bound_eofa) lowerBoundEOFA(*EOFA_pfactions[eofa_which_hsb], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
if(eigenrange_s) computeEigenvalues<FermionActionD, FermionFieldD>(lanc_params_s, FGridD, FrbGridD, Ud, Numerator_sD, TheHMC.Resources.GetParallelRNG());
if(tune_rhmc_s) checkRHMC<FermionActionD, FermionFieldD, decltype(Quotient_s)>(FGridD, FrbGridD, Ud, Numerator_sD, Denominator_sD, Quotient_s, TheHMC.Resources.GetParallelRNG(), 4, "strange", tune_rhmc_s_action_or_md);
if(eigenrange_DSDR) computeEigenvalues<GparityWilsonTMFermionD, GparityWilsonTMFermionD::FermionField>(lanc_params_DSDR, UGridD, UrbGridD, Ud, Numerator_DSDR_D, TheHMC.Resources.GetParallelRNG());
if(tune_rhmc_DSDR) checkRHMC<GparityWilsonTMFermionD, GparityWilsonTMFermionD::FermionField, decltype(Quotient_DSDR)>(UGridD, UrbGridD, Ud, Numerator_DSDR_D, Denominator_DSDR_D, Quotient_DSDR, TheHMC.Resources.GetParallelRNG(), 2, "DSDR", tune_rhmc_DSDR_action_or_md);
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
}
//Run the HMC
std::cout << GridLogMessage << " Running the HMC "<< std::endl;
TheHMC.Run();
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
} // main

873
HMC/Mobius2p1fIDSDRGparityEOFA_48ID.cc Normal file
View File

@ -0,0 +1,873 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./HMC/Mobius2p1fIDSDRGparityEOFA.cc
Copyright (C) 2015-2016
Author: Christopher Kelly <ckelly@bnl.gov>
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
//Production binary for the 40ID G-parity ensemble
struct RatQuoParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(RatQuoParameters,
double, bnd_lo,
double, bnd_hi,
Integer, action_degree,
double, action_tolerance,
Integer, md_degree,
double, md_tolerance,
Integer, reliable_update_freq,
Integer, bnd_check_freq);
RatQuoParameters() {
bnd_lo = 1e-2;
bnd_hi = 30;
action_degree = 10;
action_tolerance = 1e-10;
md_degree = 10;
md_tolerance = 1e-8;
bnd_check_freq = 20;
reliable_update_freq = 50;
}
void Export(RationalActionParams &into) const{
into.lo = bnd_lo;
into.hi = bnd_hi;
into.action_degree = action_degree;
into.action_tolerance = action_tolerance;
into.md_degree = md_degree;
into.md_tolerance = md_tolerance;
into.BoundsCheckFreq = bnd_check_freq;
}
};
struct EOFAparameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(EOFAparameters,
OneFlavourRationalParams, rat_params,
double, action_tolerance,
double, action_mixcg_inner_tolerance,
double, md_tolerance,
double, md_mixcg_inner_tolerance);
EOFAparameters() {
action_mixcg_inner_tolerance = 1e-8;
action_tolerance = 1e-10;
md_tolerance = 1e-8;
md_mixcg_inner_tolerance = 1e-8;
rat_params.lo = 1.0;
rat_params.hi = 25.0;
rat_params.MaxIter = 10000;
rat_params.tolerance= 1.0e-9;
rat_params.degree = 14;
rat_params.precision= 50;
}
};
struct EvolParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(EvolParameters,
Integer, StartTrajectory,
Integer, Trajectories,
Integer, SaveInterval,
Integer, Steps,
RealD, TrajectoryLength,
bool, MetropolisTest,
std::string, StartingType,
std::vector<Integer>, GparityDirs,
std::vector<EOFAparameters>, eofa_l,
RatQuoParameters, rat_quo_s,
RatQuoParameters, rat_quo_DSDR);
EvolParameters() {
//For initial thermalization; afterwards user should switch Metropolis on and use StartingType=CheckpointStart
MetropolisTest = false;
StartTrajectory = 0;
Trajectories = 50;
SaveInterval = 5;
StartingType = "ColdStart";
GparityDirs.resize(3, 1); //1 for G-parity, 0 for periodic
Steps = 5;
TrajectoryLength = 1.0;
}
};
bool fileExists(const std::string &fn){
std::ifstream f(fn);
return f.good();
}
struct LanczosParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(LanczosParameters,
double, alpha,
double, beta,
double, mu,
int, ord,
int, n_stop,
int, n_want,
int, n_use,
double, tolerance);
LanczosParameters() {
alpha = 35;
beta = 5;
mu = 0;
ord = 100;
n_stop = 10;
n_want = 10;
n_use = 15;
tolerance = 1e-6;
}
};
template<typename FermionActionD, typename FermionFieldD>
void computeEigenvalues(std::string param_file,
GridCartesian* Grid, GridRedBlackCartesian* rbGrid, const LatticeGaugeFieldD &latt, //expect lattice to have been initialized to something
FermionActionD &action, GridParallelRNG &rng){
LanczosParameters params;
if(fileExists(param_file)){
std::cout << GridLogMessage << " Reading " << param_file << std::endl;
Grid::XmlReader rd(param_file);
read(rd, "LanczosParameters", params);
}else if(!GlobalSharedMemory::WorldRank){
std::cout << GridLogMessage << " File " << param_file << " does not exist" << std::endl;
std::cout << GridLogMessage << " Writing xml template to " << param_file << ".templ" << std::endl;
Grid::XmlWriter wr(param_file + ".templ");
write(wr, "LanczosParameters", params);
}
FermionFieldD gauss_o(rbGrid);
FermionFieldD gauss(Grid);
gaussian(rng, gauss);
pickCheckerboard(Odd, gauss_o, gauss);
action.ImportGauge(latt);
SchurDiagMooeeOperator<FermionActionD, FermionFieldD> hermop(action);
PlainHermOp<FermionFieldD> hermop_wrap(hermop);
//ChebyshevLanczos<FermionFieldD> Cheb(params.alpha, params.beta, params.mu, params.ord);
assert(params.mu == 0.0);
Chebyshev<FermionFieldD> Cheb(params.beta*params.beta, params.alpha*params.alpha, params.ord+1);
FunctionHermOp<FermionFieldD> Cheb_wrap(Cheb, hermop);
std::cout << "IRL: alpha=" << params.alpha << " beta=" << params.beta << " mu=" << params.mu << " ord=" << params.ord << std::endl;
ImplicitlyRestartedLanczos<FermionFieldD> IRL(Cheb_wrap, hermop_wrap, params.n_stop, params.n_want, params.n_use, params.tolerance, 10000);
std::vector<RealD> eval(params.n_use);
std::vector<FermionFieldD> evec(params.n_use, rbGrid);
int Nconv;
IRL.calc(eval, evec, gauss_o, Nconv);
std::cout << "Eigenvalues:" << std::endl;
for(int i=0;i<params.n_want;i++){
std::cout << i << " " << eval[i] << std::endl;
}
}
//Check the quality of the RHMC approx
//action_or_md toggles checking the action (0), MD (1) or both (2) setups
template<typename FermionActionD, typename FermionFieldD, typename RHMCtype>
void checkRHMC(GridCartesian* Grid, GridRedBlackCartesian* rbGrid, const LatticeGaugeFieldD &latt, //expect lattice to have been initialized to something
FermionActionD &numOp, FermionActionD &denOp, RHMCtype &rhmc, GridParallelRNG &rng,
int inv_pow, const std::string &quark_descr, int action_or_md){
assert(action_or_md == 0 || action_or_md == 1 || action_or_md == 2);
FermionFieldD gauss_o(rbGrid);
FermionFieldD gauss(Grid);
gaussian(rng, gauss);
pickCheckerboard(Odd, gauss_o, gauss);
numOp.ImportGauge(latt);
denOp.ImportGauge(latt);
typedef typename FermionActionD::Impl_t FermionImplPolicyD;
SchurDifferentiableOperator<FermionImplPolicyD> MdagM(numOp);
SchurDifferentiableOperator<FermionImplPolicyD> VdagV(denOp);
PowerMethod<FermionFieldD> power_method;
RealD lambda_max;
std::cout << "Starting: Get RHMC high bound approx for " << quark_descr << " numerator" << std::endl;
lambda_max = power_method(MdagM,gauss_o);
std::cout << GridLogMessage << "Got lambda_max "<<lambda_max<<std::endl;
std::cout << "Starting: Get RHMC high bound approx for " << quark_descr << " denominator" << std::endl;
lambda_max = power_method(VdagV,gauss_o);
std::cout << GridLogMessage << "Got lambda_max "<<lambda_max<<std::endl;
if(action_or_md == 0 || action_or_md == 2){
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 10000, 1e16, MdagM,gauss_o, rhmc.ApproxNegPowerAction); //use large tolerance to prevent exit on fail; we are trying to tune here!
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 10000, 1e16, MdagM,gauss_o, rhmc.ApproxNegHalfPowerAction);
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 10000, 1e16, VdagV,gauss_o, rhmc.ApproxNegPowerAction);
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 10000, 1e16, VdagV,gauss_o, rhmc.ApproxNegHalfPowerAction);
std::cout << "Finished: Checking quality of RHMC action approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
}
std::cout << "-------------------------------------------------------------------------------" << std::endl;
if(action_or_md == 1 || action_or_md == 2){
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 10000, 1e16, MdagM,gauss_o, rhmc.ApproxNegPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 10000, 1e16, MdagM,gauss_o, rhmc.ApproxNegHalfPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark numerator and power -1/" << 2*inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
InversePowerBoundsCheck(inv_pow, 10000, 1e16, VdagV,gauss_o, rhmc.ApproxNegPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << inv_pow << std::endl;
std::cout << "Starting: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
InversePowerBoundsCheck(2*inv_pow, 10000, 1e16, VdagV,gauss_o, rhmc.ApproxNegHalfPowerMD);
std::cout << "Finished: Checking quality of RHMC MD approx for " << quark_descr << " quark denominator and power -1/" << 2*inv_pow << std::endl;
}
}
template<typename FermionImplPolicy>
void checkEOFA(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA,
GridCartesian* FGrid, GridParallelRNG &rng, const LatticeGaugeFieldD &latt){
std::cout << GridLogMessage << "Starting EOFA action/bounds check" << std::endl;
typename FermionImplPolicy::FermionField eta(FGrid);
RealD scale = std::sqrt(0.5);
gaussian(rng,eta); eta = eta * scale;
//Use the inbuilt check
EOFA.refresh(latt, eta);
EOFA.S(latt);
std::cout << GridLogMessage << "Finished EOFA upper action/bounds check" << std::endl;
}
template<typename FermionImplPolicy>
class EOFAlinop: public LinearOperatorBase<typename FermionImplPolicy::FermionField>{
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA;
LatticeGaugeFieldD &U;
public:
EOFAlinop(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA, LatticeGaugeFieldD &U): EOFA(EOFA), U(U){}
typedef typename FermionImplPolicy::FermionField Field;
void OpDiag (const Field &in, Field &out){ assert(0); }
void OpDir (const Field &in, Field &out,int dir,int disp){ assert(0); }
void OpDirAll (const Field &in, std::vector<Field> &out){ assert(0); }
void Op (const Field &in, Field &out){ assert(0); }
void AdjOp (const Field &in, Field &out){ assert(0); }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){ EOFA.Meofa(U, in, out); }
};
template<typename FermionImplPolicy>
void upperBoundEOFA(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA,
GridCartesian* FGrid, GridParallelRNG &rng, LatticeGaugeFieldD &latt){
std::cout << GridLogMessage << "Starting EOFA upper bound compute" << std::endl;
EOFAlinop<FermionImplPolicy> linop(EOFA, latt);
typename FermionImplPolicy::FermionField eta(FGrid);
gaussian(rng,eta);
PowerMethod<typename FermionImplPolicy::FermionField> power_method;
auto lambda_max = power_method(linop,eta);
std::cout << GridLogMessage << "Upper bound of EOFA operator " << lambda_max << std::endl;
}
//Applications of M^{-1} cost the same as M for EOFA!
template<typename FermionImplPolicy>
class EOFAinvLinop: public LinearOperatorBase<typename FermionImplPolicy::FermionField>{
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA;
LatticeGaugeFieldD &U;
public:
EOFAinvLinop(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA, LatticeGaugeFieldD &U): EOFA(EOFA), U(U){}
typedef typename FermionImplPolicy::FermionField Field;
void OpDiag (const Field &in, Field &out){ assert(0); }
void OpDir (const Field &in, Field &out,int dir,int disp){ assert(0); }
void OpDirAll (const Field &in, std::vector<Field> &out){ assert(0); }
void Op (const Field &in, Field &out){ assert(0); }
void AdjOp (const Field &in, Field &out){ assert(0); }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){ EOFA.MeofaInv(U, in, out); }
};
template<typename FermionImplPolicy>
void lowerBoundEOFA(ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> &EOFA,
GridCartesian* FGrid, GridParallelRNG &rng, LatticeGaugeFieldD &latt){
std::cout << GridLogMessage << "Starting EOFA lower bound compute using power method on M^{-1}. Inverse of highest eigenvalue is the lowest eigenvalue of M" << std::endl;
EOFAinvLinop<FermionImplPolicy> linop(EOFA, latt);
typename FermionImplPolicy::FermionField eta(FGrid);
gaussian(rng,eta);
PowerMethod<typename FermionImplPolicy::FermionField> power_method;
auto lambda_max = power_method(linop,eta);
std::cout << GridLogMessage << "Lower bound of EOFA operator " << 1./lambda_max << std::endl;
}
NAMESPACE_BEGIN(Grid);
template<class FermionOperatorD, class FermionOperatorF, class SchurOperatorD, class SchurOperatorF>
class MixedPrecisionConjugateGradientOperatorFunction : public OperatorFunction<typename FermionOperatorD::FermionField> {
public:
typedef typename FermionOperatorD::FermionField FieldD;
typedef typename FermionOperatorF::FermionField FieldF;
using OperatorFunction<FieldD>::operator();
RealD Tolerance;
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations;
Integer MaxOuterIterations;
GridBase* SinglePrecGrid4; //Grid for single-precision fields
GridBase* SinglePrecGrid5; //Grid for single-precision fields
RealD OuterLoopNormMult; //Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
FermionOperatorF &FermOpF;
FermionOperatorD &FermOpD;;
SchurOperatorF &LinOpF;
SchurOperatorD &LinOpD;
Integer TotalInnerIterations; //Number of inner CG iterations
Integer TotalOuterIterations; //Number of restarts
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
MixedPrecisionConjugateGradientOperatorFunction(RealD tol,
Integer maxinnerit,
Integer maxouterit,
GridBase* _sp_grid4,
GridBase* _sp_grid5,
FermionOperatorF &_FermOpF,
FermionOperatorD &_FermOpD,
SchurOperatorF &_LinOpF,
SchurOperatorD &_LinOpD):
LinOpF(_LinOpF),
LinOpD(_LinOpD),
FermOpF(_FermOpF),
FermOpD(_FermOpD),
Tolerance(tol),
InnerTolerance(tol),
MaxInnerIterations(maxinnerit),
MaxOuterIterations(maxouterit),
SinglePrecGrid4(_sp_grid4),
SinglePrecGrid5(_sp_grid5),
OuterLoopNormMult(100.)
{
};
void operator()(LinearOperatorBase<FieldD> &LinOpU, const FieldD &src, FieldD &psi) {
std::cout << GridLogMessage << " Mixed precision CG wrapper operator() "<<std::endl;
SchurOperatorD * SchurOpU = static_cast<SchurOperatorD *>(&LinOpU);
assert(&(SchurOpU->_Mat)==&(LinOpD._Mat));
precisionChange(FermOpF.Umu, FermOpD.Umu);
pickCheckerboard(Even,FermOpF.UmuEven,FermOpF.Umu);
pickCheckerboard(Odd ,FermOpF.UmuOdd ,FermOpF.Umu);
////////////////////////////////////////////////////////////////////////////////////
// Make a mixed precision conjugate gradient
////////////////////////////////////////////////////////////////////////////////////
MixedPrecisionConjugateGradient<FieldD,FieldF> MPCG(Tolerance,MaxInnerIterations,MaxOuterIterations,SinglePrecGrid5,LinOpF,LinOpD);
MPCG.InnerTolerance = InnerTolerance;
std::cout << GridLogMessage << "Calling mixed precision Conjugate Gradient" <<std::endl;
MPCG(src,psi);
}
};
template<class FermionOperatorD, class FermionOperatorF, class SchurOperatorD, class SchurOperatorF>
class MixedPrecisionReliableUpdateConjugateGradientOperatorFunction : public OperatorFunction<typename FermionOperatorD::FermionField> {
public:
typedef typename FermionOperatorD::FermionField FieldD;
typedef typename FermionOperatorF::FermionField FieldF;
using OperatorFunction<FieldD>::operator();
RealD Tolerance;
Integer MaxIterations;
RealD Delta; //reliable update parameter
GridBase* SinglePrecGrid4; //Grid for single-precision fields
GridBase* SinglePrecGrid5; //Grid for single-precision fields
FermionOperatorF &FermOpF;
FermionOperatorD &FermOpD;;
SchurOperatorF &LinOpF;
SchurOperatorD &LinOpD;
MixedPrecisionReliableUpdateConjugateGradientOperatorFunction(RealD tol,
RealD delta,
Integer maxit,
GridBase* _sp_grid4,
GridBase* _sp_grid5,
FermionOperatorF &_FermOpF,
FermionOperatorD &_FermOpD,
SchurOperatorF &_LinOpF,
SchurOperatorD &_LinOpD):
LinOpF(_LinOpF),
LinOpD(_LinOpD),
FermOpF(_FermOpF),
FermOpD(_FermOpD),
Tolerance(tol),
Delta(delta),
MaxIterations(maxit),
SinglePrecGrid4(_sp_grid4),
SinglePrecGrid5(_sp_grid5)
{
};
void operator()(LinearOperatorBase<FieldD> &LinOpU, const FieldD &src, FieldD &psi) {
std::cout << GridLogMessage << " Mixed precision reliable CG update wrapper operator() "<<std::endl;
SchurOperatorD * SchurOpU = static_cast<SchurOperatorD *>(&LinOpU);
assert(&(SchurOpU->_Mat)==&(LinOpD._Mat));
precisionChange(FermOpF.Umu, FermOpD.Umu);
pickCheckerboard(Even,FermOpF.UmuEven,FermOpF.Umu);
pickCheckerboard(Odd ,FermOpF.UmuOdd ,FermOpF.Umu);
////////////////////////////////////////////////////////////////////////////////////
// Make a mixed precision conjugate gradient
////////////////////////////////////////////////////////////////////////////////////
ConjugateGradientReliableUpdate<FieldD,FieldF> MPCG(Tolerance,MaxIterations,Delta,SinglePrecGrid5,LinOpF,LinOpD);
std::cout << GridLogMessage << "Calling mixed precision reliable update Conjugate Gradient" <<std::endl;
MPCG(src,psi);
}
};
NAMESPACE_END(Grid);
int main(int argc, char **argv) {
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
std::string param_file = "params.xml";
bool file_load_check = false;
for(int i=1;i<argc;i++){
std::string sarg(argv[i]);
if(sarg == "--param_file"){
assert(i!=argc-1);
param_file = argv[i+1];
}else if(sarg == "--read_check"){ //check the fields load correctly and pass checksum/plaquette repro
file_load_check = true;
}
}
//Read the user parameters
EvolParameters user_params;
if(fileExists(param_file)){
std::cout << GridLogMessage << " Reading " << param_file << std::endl;
Grid::XmlReader rd(param_file);
read(rd, "Params", user_params);
}else if(!GlobalSharedMemory::WorldRank){
std::cout << GridLogMessage << " File " << param_file << " does not exist" << std::endl;
std::cout << GridLogMessage << " Writing xml template to " << param_file << ".templ" << std::endl;
{
Grid::XmlWriter wr(param_file + ".templ");
write(wr, "Params", user_params);
}
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
}
//Check the parameters
if(user_params.GparityDirs.size() != Nd-1){
std::cerr << "Error in input parameters: expect GparityDirs to have size = " << Nd-1 << std::endl;
exit(1);
}
for(int i=0;i<Nd-1;i++)
if(user_params.GparityDirs[i] != 0 && user_params.GparityDirs[i] != 1){
std::cerr << "Error in input parameters: expect GparityDirs values to be 0 (periodic) or 1 (G-parity)" << std::endl;
exit(1);
}
typedef GparityMobiusEOFAFermionD EOFAactionD;
typedef GparityMobiusFermionD FermionActionD;
typedef typename FermionActionD::Impl_t FermionImplPolicyD;
typedef typename FermionActionD::FermionField FermionFieldD;
typedef GparityMobiusEOFAFermionF EOFAactionF;
typedef GparityMobiusFermionF FermionActionF;
typedef typename FermionActionF::Impl_t FermionImplPolicyF;
typedef typename FermionActionF::FermionField FermionFieldF;
typedef GeneralEvenOddRatioRationalMixedPrecPseudoFermionAction<FermionImplPolicyD,FermionImplPolicyF> MixedPrecRHMC;
typedef GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicyD> DoublePrecRHMC;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
typedef ConjugateHMCRunnerD<MinimumNorm2> HMCWrapper; //NB: This is the "Omelyan integrator"
typedef HMCWrapper::ImplPolicy GaugeImplPolicy;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = user_params.Steps;
MD.trajL = user_params.TrajectoryLength;
HMCparameters HMCparams;
HMCparams.StartTrajectory = user_params.StartTrajectory;
HMCparams.Trajectories = user_params.Trajectories;
HMCparams.NoMetropolisUntil= 0;
HMCparams.StartingType = user_params.StartingType;
HMCparams.MetropolisTest = user_params.MetropolisTest;
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_lat";
CPparams.rng_prefix = "ckpoint_rng";
CPparams.saveInterval = user_params.SaveInterval;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
//Note that checkpointing saves the RNG state so that this initialization is required only for the very first configuration
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
typedef PlaquetteMod<GaugeImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
//aiming for ainv=2.068 me Bob
//Estimated a(ml+mres) [48ID] = 0.001048 0.00104
// a(mh+mres) [48ID] = 0.028847 0.02805
//Estimate Ls=12, b+c=2 mres~0.0003
const int Ls = 12;
Real beta = 1.946;
Real light_mass = 0.00074; //0.00104 - mres_approx;
Real strange_mass = 0.02775; //0.02805 - mres_approx
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD mobius_scale = 2.; //b+c
RealD mob_bmc = 1.0;
RealD mob_b = (mobius_scale + mob_bmc)/2.;
RealD mob_c = (mobius_scale - mob_bmc)/2.;
//Setup the Grids
auto UGridD = TheHMC.Resources.GetCartesian();
auto UrbGridD = TheHMC.Resources.GetRBCartesian();
auto FGridD = SpaceTimeGrid::makeFiveDimGrid(Ls,UGridD);
auto FrbGridD = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGridD);
GridCartesian* UGridF = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd, vComplexF::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian* UrbGridF = SpaceTimeGrid::makeFourDimRedBlackGrid(UGridF);
auto FGridF = SpaceTimeGrid::makeFiveDimGrid(Ls,UGridF);
auto FrbGridF = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGridF);
ConjugateIwasakiGaugeActionD GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeFieldD Ud(UGridD);
LatticeGaugeFieldF Uf(UGridF);
//Setup the BCs
FermionActionD::ImplParams Params;
for(int i=0;i<Nd-1;i++) Params.twists[i] = user_params.GparityDirs[i]; //G-parity directions
Params.twists[Nd-1] = 1; //APBC in time direction
std::vector<int> dirs4(Nd);
for(int i=0;i<Nd-1;i++) dirs4[i] = user_params.GparityDirs[i];
dirs4[Nd-1] = 0; //periodic gauge BC in time
GaugeImplPolicy::setDirections(dirs4); //gauge BC
//Run optional gauge field checksum checker and exit
if(file_load_check){
TheHMC.initializeGaugeFieldAndRNGs(Ud);
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
}
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1); //light quark + strange quark
ActionLevel<HMCWrapper::Field> Level2(4); //DSDR
ActionLevel<HMCWrapper::Field> Level3(2); //gauge
/////////////////////////////////////////////////////////////
// Light EOFA action
// have to be careful with the parameters, cf. Test_dwf_gpforce_eofa.cc
/////////////////////////////////////////////////////////////
typedef SchurDiagMooeeOperator<EOFAactionD,FermionFieldD> EOFAschuropD;
typedef SchurDiagMooeeOperator<EOFAactionF,FermionFieldF> EOFAschuropF;
typedef ExactOneFlavourRatioMixedPrecHeatbathPseudoFermionAction<FermionImplPolicyD, FermionImplPolicyF> EOFAmixPrecPFaction;
typedef MixedPrecisionConjugateGradientOperatorFunction<EOFAactionD, EOFAactionF, EOFAschuropD, EOFAschuropF> EOFA_mxCG;
typedef MixedPrecisionReliableUpdateConjugateGradientOperatorFunction<EOFAactionD, EOFAactionF, EOFAschuropD, EOFAschuropF> EOFA_relupCG;
std::vector<RealD> eofa_light_masses = { light_mass , 0.004, 0.016, 0.064, 0.256 };
std::vector<RealD> eofa_pv_masses = { 0.004 , 0.016, 0.064, 0.256, 1.0 };
int n_light_hsb = 5;
assert(user_params.eofa_l.size() == n_light_hsb);
EOFAmixPrecPFaction* EOFA_pfactions[n_light_hsb];
for(int i=0;i<n_light_hsb;i++){
RealD iml = eofa_light_masses[i];
RealD ipv = eofa_pv_masses[i];
EOFAactionD* LopD = new EOFAactionD(Ud, *FGridD, *FrbGridD, *UGridD, *UrbGridD, iml, iml, ipv, 0.0, -1, M5, mob_b, mob_c, Params);
EOFAactionF* LopF = new EOFAactionF(Uf, *FGridF, *FrbGridF, *UGridF, *UrbGridF, iml, iml, ipv, 0.0, -1, M5, mob_b, mob_c, Params);
EOFAactionD* RopD = new EOFAactionD(Ud, *FGridD, *FrbGridD, *UGridD, *UrbGridD, ipv, iml, ipv, -1.0, 1, M5, mob_b, mob_c, Params);
EOFAactionF* RopF = new EOFAactionF(Uf, *FGridF, *FrbGridF, *UGridF, *UrbGridF, ipv, iml, ipv, -1.0, 1, M5, mob_b, mob_c, Params);
EOFAschuropD* linopL_D = new EOFAschuropD(*LopD);
EOFAschuropD* linopR_D = new EOFAschuropD(*RopD);
EOFAschuropF* linopL_F = new EOFAschuropF(*LopF);
EOFAschuropF* linopR_F = new EOFAschuropF(*RopF);
#if 1
//Note reusing user_params.eofa_l.action(|md)_mixcg_inner_tolerance as Delta for now
EOFA_relupCG* ActionMCG_L = new EOFA_relupCG(user_params.eofa_l[i].action_tolerance, user_params.eofa_l[i].action_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
EOFA_relupCG* ActionMCG_R = new EOFA_relupCG(user_params.eofa_l[i].action_tolerance, user_params.eofa_l[i].action_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
EOFA_relupCG* DerivMCG_L = new EOFA_relupCG(user_params.eofa_l[i].md_tolerance, user_params.eofa_l[i].md_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
EOFA_relupCG* DerivMCG_R = new EOFA_relupCG(user_params.eofa_l[i].md_tolerance, user_params.eofa_l[i].md_mixcg_inner_tolerance, 50000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
#else
EOFA_mxCG* ActionMCG_L = new EOFA_mxCG(user_params.eofa_l[i].action_tolerance, 10000, 1000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
ActionMCG_L->InnerTolerance = user_params.eofa_l[i].action_mixcg_inner_tolerance;
EOFA_mxCG* ActionMCG_R = new EOFA_mxCG(user_params.eofa_l[i].action_tolerance, 10000, 1000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
ActionMCG_R->InnerTolerance = user_params.eofa_l[i].action_mixcg_inner_tolerance;
EOFA_mxCG* DerivMCG_L = new EOFA_mxCG(user_params.eofa_l[i].md_tolerance, 10000, 1000, UGridF, FrbGridF, *LopF, *LopD, *linopL_F, *linopL_D);
DerivMCG_L->InnerTolerance = user_params.eofa_l[i].md_mixcg_inner_tolerance;
EOFA_mxCG* DerivMCG_R = new EOFA_mxCG(user_params.eofa_l[i].md_tolerance, 10000, 1000, UGridF, FrbGridF, *RopF, *RopD, *linopR_F, *linopR_D);
DerivMCG_R->InnerTolerance = user_params.eofa_l[i].md_mixcg_inner_tolerance;
std::cout << GridLogMessage << "Set EOFA action solver action tolerance outer=" << ActionMCG_L->Tolerance << " inner=" << ActionMCG_L->InnerTolerance << std::endl;
std::cout << GridLogMessage << "Set EOFA MD solver tolerance outer=" << DerivMCG_L->Tolerance << " inner=" << DerivMCG_L->InnerTolerance << std::endl;
#endif
EOFAmixPrecPFaction* EOFA = new EOFAmixPrecPFaction(*LopF, *RopF,
*LopD, *RopD,
*ActionMCG_L, *ActionMCG_R,
*ActionMCG_L, *ActionMCG_R,
*DerivMCG_L, *DerivMCG_R,
user_params.eofa_l[i].rat_params, true);
EOFA_pfactions[i] = EOFA;
Level1.push_back(EOFA);
}
////////////////////////////////////
// Strange action
////////////////////////////////////
FermionActionD Numerator_sD(Ud,*FGridD,*FrbGridD,*UGridD,*UrbGridD,strange_mass,M5,mob_b,mob_c,Params);
FermionActionD Denominator_sD(Ud,*FGridD,*FrbGridD,*UGridD,*UrbGridD, pv_mass,M5,mob_b,mob_c,Params);
FermionActionF Numerator_sF(Uf,*FGridF,*FrbGridF,*UGridF,*UrbGridF,strange_mass,M5,mob_b,mob_c,Params);
FermionActionF Denominator_sF(Uf,*FGridF,*FrbGridF,*UGridF,*UrbGridF, pv_mass,M5,mob_b,mob_c,Params);
RationalActionParams rat_act_params_s;
rat_act_params_s.inv_pow = 4; // (M^dag M)^{1/4}
rat_act_params_s.precision= 60;
rat_act_params_s.MaxIter = 10000;
user_params.rat_quo_s.Export(rat_act_params_s);
std::cout << GridLogMessage << " Heavy quark bounds check every " << rat_act_params_s.BoundsCheckFreq << " trajectories (avg)" << std::endl;
//MixedPrecRHMC Quotient_s(Denominator_sD, Numerator_sD, Denominator_sF, Numerator_sF, rat_act_params_s, user_params.rat_quo_s.reliable_update_freq);
DoublePrecRHMC Quotient_s(Denominator_sD, Numerator_sD, rat_act_params_s);
Level1.push_back(&Quotient_s);
///////////////////////////////////
// DSDR action
///////////////////////////////////
RealD dsdr_mass=-1.8;
//Use same DSDR twists as https://arxiv.org/pdf/1208.4412.pdf
RealD dsdr_epsilon_f = 0.02; //numerator (in determinant)
RealD dsdr_epsilon_b = 0.5;
GparityWilsonTMFermionD Numerator_DSDR_D(Ud, *UGridD, *UrbGridD, dsdr_mass, dsdr_epsilon_f, Params);
GparityWilsonTMFermionF Numerator_DSDR_F(Uf, *UGridF, *UrbGridF, dsdr_mass, dsdr_epsilon_f, Params);
GparityWilsonTMFermionD Denominator_DSDR_D(Ud, *UGridD, *UrbGridD, dsdr_mass, dsdr_epsilon_b, Params);
GparityWilsonTMFermionF Denominator_DSDR_F(Uf, *UGridF, *UrbGridF, dsdr_mass, dsdr_epsilon_b, Params);
RationalActionParams rat_act_params_DSDR;
rat_act_params_DSDR.inv_pow = 2; // (M^dag M)^{1/2}
rat_act_params_DSDR.precision= 60;
rat_act_params_DSDR.MaxIter = 10000;
user_params.rat_quo_DSDR.Export(rat_act_params_DSDR);
std::cout << GridLogMessage << "DSDR quark bounds check every " << rat_act_params_DSDR.BoundsCheckFreq << " trajectories (avg)" << std::endl;
DoublePrecRHMC Quotient_DSDR(Denominator_DSDR_D, Numerator_DSDR_D, rat_act_params_DSDR);
Level2.push_back(&Quotient_DSDR);
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
Level3.push_back(&GaugeAction);
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
std::cout << GridLogMessage << " Action complete "<< std::endl;
//Action tuning
bool
tune_rhmc_s=false, eigenrange_s=false,
tune_rhmc_DSDR=false, eigenrange_DSDR=false,
check_eofa=false,
upper_bound_eofa=false, lower_bound_eofa(false);
std::string lanc_params_s;
std::string lanc_params_DSDR;
int tune_rhmc_s_action_or_md;
int tune_rhmc_DSDR_action_or_md;
int eofa_which_hsb;
for(int i=1;i<argc;i++){
std::string sarg(argv[i]);
if(sarg == "--tune_rhmc_s"){
assert(i < argc-1);
tune_rhmc_s=true;
tune_rhmc_s_action_or_md = std::stoi(argv[i+1]);
}
else if(sarg == "--eigenrange_s"){
assert(i < argc-1);
eigenrange_s=true;
lanc_params_s = argv[i+1];
}
else if(sarg == "--tune_rhmc_DSDR"){
assert(i < argc-1);
tune_rhmc_DSDR=true;
tune_rhmc_DSDR_action_or_md = std::stoi(argv[i+1]);
}
else if(sarg == "--eigenrange_DSDR"){
assert(i < argc-1);
eigenrange_DSDR=true;
lanc_params_DSDR = argv[i+1];
}
else if(sarg == "--check_eofa"){
assert(i < argc-1);
check_eofa = true;
eofa_which_hsb = std::stoi(argv[i+1]); //-1 indicates all hasenbusch
assert(eofa_which_hsb == -1 || (eofa_which_hsb >= 0 && eofa_which_hsb < n_light_hsb) );
}
else if(sarg == "--upper_bound_eofa"){
assert(i < argc-1);
upper_bound_eofa = true;
eofa_which_hsb = std::stoi(argv[i+1]);
assert(eofa_which_hsb >= 0 && eofa_which_hsb < n_light_hsb);
}
else if(sarg == "--lower_bound_eofa"){
assert(i < argc-1);
lower_bound_eofa = true;
eofa_which_hsb = std::stoi(argv[i+1]);
assert(eofa_which_hsb >= 0 && eofa_which_hsb < n_light_hsb);
}
}
if(tune_rhmc_s || eigenrange_s || tune_rhmc_DSDR || eigenrange_DSDR ||check_eofa || upper_bound_eofa || lower_bound_eofa) {
std::cout << GridLogMessage << "Running checks" << std::endl;
TheHMC.initializeGaugeFieldAndRNGs(Ud);
//std::cout << GridLogMessage << "EOFA action solver action tolerance outer=" << ActionMCG_L.Tolerance << " inner=" << ActionMCG_L.InnerTolerance << std::endl;
//std::cout << GridLogMessage << "EOFA MD solver tolerance outer=" << DerivMCG_L.Tolerance << " inner=" << DerivMCG_L.InnerTolerance << std::endl;
if(check_eofa){
if(eofa_which_hsb >= 0){
std::cout << GridLogMessage << "Starting checking EOFA Hasenbusch " << eofa_which_hsb << std::endl;
checkEOFA(*EOFA_pfactions[eofa_which_hsb], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
std::cout << GridLogMessage << "Finished checking EOFA Hasenbusch " << eofa_which_hsb << std::endl;
}else{
for(int i=0;i<n_light_hsb;i++){
std::cout << GridLogMessage << "Starting checking EOFA Hasenbusch " << i << std::endl;
checkEOFA(*EOFA_pfactions[i], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
std::cout << GridLogMessage << "Finished checking EOFA Hasenbusch " << i << std::endl;
}
}
}
if(upper_bound_eofa) upperBoundEOFA(*EOFA_pfactions[eofa_which_hsb], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
if(lower_bound_eofa) lowerBoundEOFA(*EOFA_pfactions[eofa_which_hsb], FGridD, TheHMC.Resources.GetParallelRNG(), Ud);
if(eigenrange_s) computeEigenvalues<FermionActionD, FermionFieldD>(lanc_params_s, FGridD, FrbGridD, Ud, Numerator_sD, TheHMC.Resources.GetParallelRNG());
if(tune_rhmc_s) checkRHMC<FermionActionD, FermionFieldD, decltype(Quotient_s)>(FGridD, FrbGridD, Ud, Numerator_sD, Denominator_sD, Quotient_s, TheHMC.Resources.GetParallelRNG(), 4, "strange", tune_rhmc_s_action_or_md);
if(eigenrange_DSDR) computeEigenvalues<GparityWilsonTMFermionD, GparityWilsonTMFermionD::FermionField>(lanc_params_DSDR, UGridD, UrbGridD, Ud, Numerator_DSDR_D, TheHMC.Resources.GetParallelRNG());
if(tune_rhmc_DSDR) checkRHMC<GparityWilsonTMFermionD, GparityWilsonTMFermionD::FermionField, decltype(Quotient_DSDR)>(UGridD, UrbGridD, Ud, Numerator_DSDR_D, Denominator_DSDR_D, Quotient_DSDR, TheHMC.Resources.GetParallelRNG(), 2, "DSDR", tune_rhmc_DSDR_action_or_md);
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
}
//Run the HMC
std::cout << GridLogMessage << " Running the HMC "<< std::endl;
TheHMC.Run();
std::cout << GridLogMessage << " Done" << std::endl;
Grid_finalize();
return 0;
} // main

184
tests/IO/Test_field_array_io.cc Normal file
View File

@ -0,0 +1,184 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/IO/Test_field_array_io.cc
Copyright (C) 2015
Author: Christopher Kelly <ckelly@bnl.gov>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
//This test demonstrates and checks a single-file write of an arbitrary array of fields
uint64_t writeHeader(const uint32_t size, const uint32_t checksum, const std::string &format, const std::string &file){
std::ofstream fout(file,std::ios::out|std::ios::in);
fout.seekp(0,std::ios::beg);
fout << std::setw(10) << size << std::endl;
fout << std::hex << std::setw(10) << checksum << std::endl;
fout << format << std::endl;
return fout.tellp();
}
uint64_t readHeader(uint32_t &size, uint32_t &checksum, std::string &format, const std::string &file){
std::ifstream fin(file);
std::string line;
getline(fin,line);
{
std::stringstream ss; ss <<line ; ss >> size;
}
getline(fin,line);
{
std::stringstream ss; ss <<line ; ss >> std::hex >> checksum;
}
getline(fin,format);
removeWhitespace(format);
return fin.tellg();
}
template<typename FieldType>
void writeFieldArray(const std::string &file, const std::vector<FieldType> &data){
typedef typename FieldType::vector_object vobj;
typedef typename FieldType::scalar_object sobj;
GridBase* grid = data[0].Grid(); //assume all fields have the same Grid
BinarySimpleMunger<sobj, sobj> munge; //straight copy
//We need a 2-pass header write, first to establish the size, the second pass writes the checksum
std::string format = getFormatString<typename FieldType::vector_object>();
uint64_t offset; //leave 64 bits for header
if ( grid->IsBoss() ) {
NerscIO::truncate(file);
offset = writeHeader(data.size(), 0, format, file);
}
grid->Broadcast(0,(void *)&offset,sizeof(offset)); //use as a barrier
std::cout << "Data offset write " << offset << std::endl;
std::cout << "Data size write " << data.size() << std::endl;
uint64_t field_size = uint64_t(grid->gSites()) * sizeof(sobj);
std::cout << "Field size = " << field_size << " B" << std::endl;
uint32_t checksum = 0;
for(int i=0;i<data.size();i++){
std::cout << "Data field write " << i << " offset " << offset << std::endl;
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
BinaryIO::writeLatticeObject<vobj,sobj>(const_cast<FieldType &>(data[i]),file,munge,offset,format,
nersc_csum,scidac_csuma,scidac_csumb);
offset += field_size;
checksum ^= nersc_csum + 0x9e3779b9 + (checksum<<6) + (checksum>>2);
}
std::cout << "Write checksum " << checksum << std::endl;
if ( grid->IsBoss() ) {
writeHeader(data.size(), checksum, format, file);
}
}
template<typename FieldType>
void readFieldArray(std::vector<FieldType> &data, const std::string &file){
typedef typename FieldType::vector_object vobj;
typedef typename FieldType::scalar_object sobj;
assert(data.size() > 0);
GridBase* grid = data[0].Grid(); //assume all fields have the same Grid
BinarySimpleUnmunger<sobj, sobj> munge; //straight copy
uint32_t hdr_checksum, hdr_size;
std::string format;
uint64_t offset = readHeader(hdr_size, hdr_checksum, format, file);
std::cout << "Data offset read " << offset << std::endl;
std::cout << "Data size read " << hdr_size << std::endl;
assert(data.size() == hdr_size);
uint64_t field_size = uint64_t(grid->gSites()) * sizeof(sobj);
uint32_t checksum = 0;
for(int i=0;i<data.size();i++){
std::cout << "Data field read " << i << " offset " << offset << std::endl;
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
BinaryIO::readLatticeObject<vobj,sobj>(data[i],file,munge,offset,format,
nersc_csum,scidac_csuma,scidac_csumb);
offset += field_size;
checksum ^= nersc_csum + 0x9e3779b9 + (checksum<<6) + (checksum>>2);
}
std::cout << "Header checksum " << hdr_checksum << std::endl;
std::cout << "Read checksum " << checksum << std::endl;
assert( hdr_checksum == checksum );
}
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
Coordinate latt = GridDefaultLatt();
Coordinate simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
const int Ls=8;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(latt, simd_layout, mpi_layout);
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
typedef DomainWallFermionD::FermionField FermionField;
int nfield = 20;
std::vector<FermionField> data(nfield, FGrid);
for(int i=0;i<data.size();i++)
gaussian(RNG5, data[i]);
std::string file = "test_field_array_io.0";
writeFieldArray(file, data);
std::vector<FermionField> data_r(nfield, FGrid);
readFieldArray(data_r, file);
for(int i=0;i<nfield;i++){
FermionField diff = data_r[i] - data[i];
RealD norm_diff = norm2(diff);
std::cout << "Norm2 of difference between stored and loaded data index " << i << " : " << norm_diff << std::endl;
}
std::cout << "Done" << std::endl;
Grid_finalize();
}

485
tests/lanczos/Test_compressed_lanczos_gparity.cc Normal file
View File

@ -0,0 +1,485 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_compressed_lanczos_gparity.cc
Copyright (C) 2017
Author: Christopher Kelly <ckelly@bnl.gov>
Author: Leans heavily on Christoph Lehner's code
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
/*
* Reimplement the badly named "multigrid" lanczos as compressed Lanczos using the features
* in Grid that were intended to be used to support blocked Aggregates, from
*/
#include <Grid/Grid.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/LocalCoherenceLanczos.h>
using namespace std;
using namespace Grid;
//For the CPS configurations we have to manually seed the RNG and deal with an incorrect factor of 2 in the plaquette metadata
void readConfiguration(LatticeGaugeFieldD &U,
const std::string &config,
bool is_cps_cfg = false){
if(is_cps_cfg) NerscIO::exitOnReadPlaquetteMismatch() = false;
typedef GaugeStatistics<ConjugateGimplD> GaugeStats;
FieldMetaData header;
NerscIO::readConfiguration<GaugeStats>(U, header, config);
if(is_cps_cfg) NerscIO::exitOnReadPlaquetteMismatch() = true;
}
//Lanczos parameters in CPS conventions
struct CPSLanczosParams : Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(CPSLanczosParams,
RealD, alpha,
RealD, beta,
int, ch_ord,
int, N_use,
int, N_get,
int, N_true_get,
RealD, stop_rsd,
int, maxits);
//Translations
ChebyParams getChebyParams() const{
ChebyParams out;
out.alpha = beta*beta; //aka lo
out.beta = alpha*alpha; //aka hi
out.Npoly = ch_ord+1;
return out;
}
int Nstop() const{ return N_true_get; }
int Nm() const{ return N_use; }
int Nk() const{ return N_get; }
};
//Maybe this class should be in the main library?
template<class Fobj,class CComplex,int nbasis>
class LocalCoherenceLanczosScidac : public LocalCoherenceLanczos<Fobj,CComplex,nbasis>
{
public:
typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj> FineField;
LocalCoherenceLanczosScidac(GridBase *FineGrid,GridBase *CoarseGrid,
LinearOperatorBase<FineField> &FineOp,
int checkerboard)
// Base constructor
: LocalCoherenceLanczos<Fobj,CComplex,nbasis>(FineGrid,CoarseGrid,FineOp,checkerboard)
{};
void checkpointFine(std::string evecs_file,std::string evals_file)
{
assert(this->subspace.size()==nbasis);
emptyUserRecord record;
Grid::ScidacWriter WR(this->_FineGrid->IsBoss());
WR.open(evecs_file);
for(int k=0;k<nbasis;k++) {
WR.writeScidacFieldRecord(this->subspace[k],record);
}
WR.close();
XmlWriter WRx(evals_file);
write(WRx,"evals",this->evals_fine);
}
void checkpointFineRestore(std::string evecs_file,std::string evals_file)
{
this->evals_fine.resize(nbasis);
this->subspace.resize(nbasis,this->_FineGrid);
std::cout << GridLogIRL<< "checkpointFineRestore: Reading evals from "<<evals_file<<std::endl;
XmlReader RDx(evals_file);
read(RDx,"evals",this->evals_fine);
if(this->evals_fine.size() < nbasis) assert(0 && "Not enough fine evals to complete basis");
if(this->evals_fine.size() > nbasis){ //allow the use of precomputed evecs with a larger #evecs
std::cout << GridLogMessage << "Truncating " << this->evals_fine.size() << " evals to basis size " << nbasis << std::endl;
this->evals_fine.resize(nbasis);
}
std::cout << GridLogIRL<< "checkpointFineRestore: Reading evecs from "<<evecs_file<<std::endl;
emptyUserRecord record;
Grid::ScidacReader RD ;
RD.open(evecs_file);
for(int k=0;k<nbasis;k++) {
this->subspace[k].Checkerboard()=this->_checkerboard;
RD.readScidacFieldRecord(this->subspace[k],record);
}
RD.close();
}
void checkpointCoarse(std::string evecs_file,std::string evals_file)
{
int n = this->evec_coarse.size();
emptyUserRecord record;
Grid::ScidacWriter WR(this->_CoarseGrid->IsBoss());
WR.open(evecs_file);
for(int k=0;k<n;k++) {
WR.writeScidacFieldRecord(this->evec_coarse[k],record);
}
WR.close();
XmlWriter WRx(evals_file);
write(WRx,"evals",this->evals_coarse);
}
void checkpointCoarseRestore(std::string evecs_file,std::string evals_file,int nvec)
{
std::cout << "resizing coarse vecs to " << nvec<< std::endl;
this->evals_coarse.resize(nvec);
this->evec_coarse.resize(nvec,this->_CoarseGrid);
std::cout << GridLogIRL<< "checkpointCoarseRestore: Reading evals from "<<evals_file<<std::endl;
XmlReader RDx(evals_file);
read(RDx,"evals",this->evals_coarse);
assert(this->evals_coarse.size()==nvec);
emptyUserRecord record;
std::cout << GridLogIRL<< "checkpointCoarseRestore: Reading evecs from "<<evecs_file<<std::endl;
Grid::ScidacReader RD ;
RD.open(evecs_file);
for(int k=0;k<nvec;k++) {
RD.readScidacFieldRecord(this->evec_coarse[k],record);
}
RD.close();
}
};
struct Options{
std::vector<int> blockSize;
std::vector<int> GparityDirs;
int Ls;
RealD mass;
RealD M5;
RealD mobius_scale;
std::string config;
bool is_cps_cfg;
double coarse_relax_tol;
int smoother_ord;
CPSLanczosParams fine;
CPSLanczosParams coarse;
bool write_fine = false;
std::string write_fine_file;
bool read_fine = false;
std::string read_fine_file;
bool write_coarse = false;
std::string write_coarse_file;
bool read_coarse = false;
std::string read_coarse_file;
Options(){
blockSize = std::vector<int> ({2,2,2,2,2});
GparityDirs = std::vector<int> ({1,1,1}); //1 for each GP direction
Ls = 12;
mass = 0.01;
M5 = 1.8;
is_cps_cfg = false;
mobius_scale = 2.0;
fine.alpha = 2;
fine.beta = 0.1;
fine.ch_ord = 100;
fine.N_use = 70;
fine.N_get = 60;
fine.N_true_get = 60;
fine.stop_rsd = 1e-8;
fine.maxits = 10000;
coarse.alpha = 2;
coarse.beta = 0.1;
coarse.ch_ord = 100;
coarse.N_use = 200;
coarse.N_get = 190;
coarse.N_true_get = 190;
coarse.stop_rsd = 1e-8;
coarse.maxits = 10000;
coarse_relax_tol = 1e5;
smoother_ord = 20;
write_fine = false;
read_fine = false;
write_coarse = false;
read_coarse = false;
}
};
template<int nbasis>
void runTest(const Options &opt){
//Fine grids
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplex::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(opt.Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(opt.Ls,UGrid);
//Setup G-parity BCs
assert(Nd == 4);
std::vector<int> dirs4(4);
for(int i=0;i<3;i++) dirs4[i] = opt.GparityDirs[i];
dirs4[3] = 0; //periodic gauge BC in time
std::cout << GridLogMessage << "Gauge BCs: " << dirs4 << std::endl;
ConjugateGimplD::setDirections(dirs4); //gauge BC
GparityWilsonImplD::ImplParams Params;
for(int i=0;i<Nd-1;i++) Params.twists[i] = opt.GparityDirs[i]; //G-parity directions
Params.twists[Nd-1] = 1; //APBC in time direction
std::cout << GridLogMessage << "Fermion BCs: " << Params.twists << std::endl;
//Read the gauge field
LatticeGaugeField Umu(UGrid);
readConfiguration(Umu, opt.config, opt.is_cps_cfg);
//Setup the coarse grids
auto fineLatt = GridDefaultLatt();
Coordinate coarseLatt(4);
for (int d=0;d<4;d++){
coarseLatt[d] = fineLatt[d]/opt.blockSize[d]; assert(coarseLatt[d]*opt.blockSize[d]==fineLatt[d]);
}
std::cout << GridLogMessage<< " 5d coarse lattice is ";
for (int i=0;i<4;i++){
std::cout << coarseLatt[i]<<"x";
}
int cLs = opt.Ls/opt.blockSize[4]; assert(cLs*opt.blockSize[4]==opt.Ls);
std::cout << cLs<<std::endl;
GridCartesian * CoarseGrid4 = SpaceTimeGrid::makeFourDimGrid(coarseLatt, GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * CoarseGrid4rb = SpaceTimeGrid::makeFourDimRedBlackGrid(CoarseGrid4);
GridCartesian * CoarseGrid5 = SpaceTimeGrid::makeFiveDimGrid(cLs,CoarseGrid4);
//Dirac operator
double bmc = 1.;
double b = (opt.mobius_scale + bmc)/2.; // b = 1/2 [ (b+c) + (b-c) ]
double c = (opt.mobius_scale - bmc)/2.; // c = 1/2 [ (b+c) - (b-c) ]
GparityMobiusFermionD action(Umu, *FGrid, *FrbGrid, *UGrid, *UrbGrid, opt.mass, opt.M5, b,c,Params);
typedef GparityMobiusFermionD::FermionField FermionField;
SchurDiagTwoOperator<GparityMobiusFermionD, FermionField> SchurOp(action);
typedef GparityWilsonImplD::SiteSpinor SiteSpinor;
const CPSLanczosParams &fine = opt.fine;
const CPSLanczosParams &coarse = opt.coarse;
std::cout << GridLogMessage << "Keep " << fine.N_true_get << " fine vectors" << std::endl;
std::cout << GridLogMessage << "Keep " << coarse.N_true_get << " coarse vectors" << std::endl;
assert(coarse.N_true_get >= fine.N_true_get);
assert(nbasis<=fine.N_true_get);
LocalCoherenceLanczosScidac<SiteSpinor,vTComplex,nbasis> _LocalCoherenceLanczos(FrbGrid,CoarseGrid5,SchurOp,Odd);
std::cout << GridLogMessage << "Constructed LocalCoherenceLanczos" << std::endl;
//Compute and/or read fine evecs
if(opt.read_fine){
_LocalCoherenceLanczos.checkpointFineRestore(opt.read_fine_file + "_evecs.scidac", opt.read_fine_file + "_evals.xml");
}else{
std::cout << GridLogMessage << "Performing fine grid IRL" << std::endl;
std::cout << GridLogMessage << "Using Chebyshev alpha=" << fine.alpha << " beta=" << fine.beta << " ord=" << fine.ch_ord << std::endl;
_LocalCoherenceLanczos.calcFine(fine.getChebyParams(),
fine.Nstop(),fine.Nk(),fine.Nm(),
fine.stop_rsd,fine.maxits,0,0);
if(opt.write_fine){
std::cout << GridLogIRL<<"Checkpointing Fine evecs"<<std::endl;
_LocalCoherenceLanczos.checkpointFine(opt.write_fine_file + "_evecs.scidac", opt.write_fine_file + "_evals.xml");
}
}
//Block orthonormalise (this should be part of calcFine?)
std::cout << GridLogIRL<<"Orthogonalising"<<std::endl;
_LocalCoherenceLanczos.Orthogonalise();
std::cout << GridLogIRL<<"Orthogonaled"<<std::endl;
ChebyParams smoother = fine.getChebyParams();
smoother.Npoly = opt.smoother_ord+1;
if(opt.read_coarse){
_LocalCoherenceLanczos.checkpointCoarseRestore(opt.read_coarse_file + "_evecs.scidac", opt.read_coarse_file + "_evals.xml",coarse.Nstop());
}else{
std::cout << GridLogMessage << "Performing coarse grid IRL" << std::endl;
std::cout << GridLogMessage << "Using Chebyshev alpha=" << coarse.alpha << " beta=" << coarse.beta << " ord=" << coarse.ch_ord << std::endl;
_LocalCoherenceLanczos.calcCoarse(coarse.getChebyParams(), smoother, opt.coarse_relax_tol,
coarse.Nstop(), coarse.Nk() ,coarse.Nm(),
coarse.stop_rsd, coarse.maxits,
0,0);
if(opt.write_coarse){
std::cout << GridLogIRL<<"Checkpointing Coarse evecs"<<std::endl;
_LocalCoherenceLanczos.checkpointCoarse(opt.write_coarse_file + "_evecs.scidac", opt.write_coarse_file + "_evals.xml");
}
}
//Test the eigenvectors
//To remove high-frequency noise we apply a Chebyshev smoothing
Chebyshev<FermionField> cheb_smoother(smoother);
FermionField evec(FrbGrid);
FermionField evec_sm(FrbGrid); //smoothed
FermionField tmp(FrbGrid);
RealD eval;
for(int i=0;i<coarse.N_true_get;i++){
_LocalCoherenceLanczos.getFineEvecEval(evec, eval, i);
//Check unsmoothed evec
SchurOp.HermOp(evec, tmp);
tmp = tmp - eval*evec;
RealD norm_unsmoothed = sqrt(norm2(tmp));
//Check smoothed evec
cheb_smoother(SchurOp, evec, evec_sm);
SchurOp.HermOp(evec_sm, tmp);
tmp = tmp - eval*evec_sm;
RealD norm_smoothed = sqrt(norm2(tmp));
std::cout << GridLogMessage << "Eval " << eval << " unsmoothed resid " << norm_unsmoothed << " smoothed resid " << norm_smoothed << std::endl;
}
}
//Note: because we rely upon physical properties we must use a "real" gauge configuration
int main (int argc, char ** argv) {
Grid_init(&argc,&argv);
GridLogIRL.TimingMode(1);
Options opt;
int basis_size = 100;
if(argc < 3){
std::cout << GridLogMessage << "Usage: <exe> <config> <gparity dirs> <options>" << std::endl;
std::cout << GridLogMessage << "<gparity dirs> should have the format a.b.c where a,b,c are 0,1 depending on whether there are G-parity BCs in that direction" << std::endl;
std::cout << GridLogMessage << "Options:" << std::endl;
std::cout << GridLogMessage << "--Ls <value> : Set Ls (default 12)" << std::endl;
std::cout << GridLogMessage << "--mass <value> : Set the mass (default 0.01)" << std::endl;
std::cout << GridLogMessage << "--block <value> : Set the block size. Format should be a.b.c.d.e where a-e are the block extents (default 2.2.2.2.2)" << std::endl;
std::cout << GridLogMessage << "--is_cps_cfg : Indicate that the configuration was generated with CPS where until recently the stored plaquette was wrong by a factor of 2" << std::endl;
std::cout << GridLogMessage << "--write_irl_templ: Write a template for the parameters file of the Lanczos to \"irl_templ.xml\"" << std::endl;
std::cout << GridLogMessage << "--read_irl_fine <filename>: Real the parameters file for the fine Lanczos" << std::endl;
std::cout << GridLogMessage << "--read_irl_coarse <filename>: Real the parameters file for the coarse Lanczos" << std::endl;
std::cout << GridLogMessage << "--write_fine <filename stub>: Write fine evecs/evals to filename starting with the stub" << std::endl;
std::cout << GridLogMessage << "--read_fine <filename stub>: Read fine evecs/evals from filename starting with the stub" << std::endl;
std::cout << GridLogMessage << "--write_coarse <filename stub>: Write coarse evecs/evals to filename starting with the stub" << std::endl;
std::cout << GridLogMessage << "--read_coarse <filename stub>: Read coarse evecs/evals from filename starting with the stub" << std::endl;
std::cout << GridLogMessage << "--smoother_ord : Set the Chebyshev order of the smoother (default 20)" << std::endl;
std::cout << GridLogMessage << "--coarse_relax_tol : Set the relaxation parameter for evaluating the residual of the reconstructed eigenvectors outside of the basis (default 1e5)" << std::endl;
std::cout << GridLogMessage << "--basis_size : Select the basis size from 100,200,300,350 (default 100)" << std::endl;
Grid_finalize();
return 1;
}
opt.config = argv[1];
GridCmdOptionIntVector(argv[2], opt.GparityDirs);
assert(opt.GparityDirs.size() == 3);
for(int i=3;i<argc;i++){
std::string sarg = argv[i];
if(sarg == "--Ls"){
opt.Ls = std::stoi(argv[i+1]);
std::cout << GridLogMessage << "Set Ls to " << opt.Ls << std::endl;
}else if(sarg == "--mass"){
std::istringstream ss(argv[i+1]); ss >> opt.mass;
std::cout << GridLogMessage << "Set quark mass to " << opt.mass << std::endl;
}else if(sarg == "--block"){
GridCmdOptionIntVector(argv[i+1], opt.blockSize);
assert(opt.blockSize.size() == 5);
std::cout << GridLogMessage << "Set block size to ";
for(int q=0;q<5;q++) std::cout << opt.blockSize[q] << " ";
std::cout << std::endl;
}else if(sarg == "--is_cps_cfg"){
opt.is_cps_cfg = true;
}else if(sarg == "--write_irl_templ"){
XmlWriter writer("irl_templ.xml");
write(writer,"Params", opt.fine);
Grid_finalize();
return 0;
}else if(sarg == "--read_irl_fine"){
std::cout << GridLogMessage << "Reading fine IRL params from " << argv[i+1] << std::endl;
XmlReader reader(argv[i+1]);
read(reader, "Params", opt.fine);
}else if(sarg == "--read_irl_coarse"){
std::cout << GridLogMessage << "Reading coarse IRL params from " << argv[i+1] << std::endl;
XmlReader reader(argv[i+1]);
read(reader, "Params", opt.coarse);
}else if(sarg == "--write_fine"){
opt.write_fine = true;
opt.write_fine_file = argv[i+1];
}else if(sarg == "--read_fine"){
opt.read_fine = true;
opt.read_fine_file = argv[i+1];
}else if(sarg == "--write_coarse"){
opt.write_coarse = true;
opt.write_coarse_file = argv[i+1];
}else if(sarg == "--read_coarse"){
opt.read_coarse = true;
opt.read_coarse_file = argv[i+1];
}else if(sarg == "--smoother_ord"){
std::istringstream ss(argv[i+1]); ss >> opt.smoother_ord;
std::cout << GridLogMessage << "Set smoother order to " << opt.smoother_ord << std::endl;
}else if(sarg == "--coarse_relax_tol"){
std::istringstream ss(argv[i+1]); ss >> opt.coarse_relax_tol;
std::cout << GridLogMessage << "Set coarse IRL relaxation parameter to " << opt.coarse_relax_tol << std::endl;
}else if(sarg == "--mobius_scale"){
std::istringstream ss(argv[i+1]); ss >> opt.mobius_scale;
std::cout << GridLogMessage << "Set Mobius scale to " << opt.mobius_scale << std::endl;
}else if(sarg == "--basis_size"){
basis_size = std::stoi(argv[i+1]);
std::cout << GridLogMessage << "Set basis size to " << basis_size << std::endl;
}
}
switch(basis_size){
case 100:
runTest<100>(opt); break;
case 200:
runTest<200>(opt); break;
case 300:
runTest<300>(opt); break;
case 350:
runTest<350>(opt); break;
default:
std::cout << GridLogMessage << "Unsupported basis size " << basis_size << std::endl;
assert(0);
}
Grid_finalize();
}

582
tests/lanczos/Test_evec_compression.cc Normal file
View File

@ -0,0 +1,582 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_evec_compression.cc
Copyright (C) 2017
Author: Christopher Kelly <ckelly@bnl.gov>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
/*
*
* This test generates eigenvectors using the Lanczos algorithm then attempts to use local coherence compression
* to express those vectors in terms of a basis formed from a subset. This test is useful for finding the optimal
* blocking and basis size for performing a Local Coherence Lanczos
*/
#include <Grid/Grid.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/LocalCoherenceLanczos.h>
using namespace std;
using namespace Grid;
//For the CPS configurations we have to manually seed the RNG and deal with an incorrect factor of 2 in the plaquette metadata
template<typename Gimpl>
void readConfiguration(LatticeGaugeFieldD &U,
const std::string &config,
bool is_cps_cfg = false){
if(is_cps_cfg) NerscIO::exitOnReadPlaquetteMismatch() = false;
typedef GaugeStatistics<Gimpl> GaugeStats;
FieldMetaData header;
NerscIO::readConfiguration<GaugeStats>(U, header, config);
if(is_cps_cfg) NerscIO::exitOnReadPlaquetteMismatch() = true;
}
//Lanczos parameters in CPS conventions
struct CPSLanczosParams : Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(CPSLanczosParams,
RealD, alpha,
RealD, beta,
int, ch_ord,
int, N_use,
int, N_get,
int, N_true_get,
RealD, stop_rsd,
int, maxits);
//Translations
ChebyParams getChebyParams() const{
ChebyParams out;
out.alpha = beta*beta; //aka lo
out.beta = alpha*alpha; //aka hi
out.Npoly = ch_ord+1;
return out;
}
int Nstop() const{ return N_true_get; }
int Nm() const{ return N_use; }
int Nk() const{ return N_get; }
};
template<class Fobj,class CComplex,int nbasis>
class LocalCoherenceCompressor{
public:
typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<Fobj> FineField;
void compress(std::vector<FineField> &basis,
std::vector<CoarseField> &compressed_evecs,
const std::vector<FineField> &evecs_in,
GridBase *FineGrid,
GridBase *CoarseGrid){
int nevecs = evecs_in.size();
assert(nevecs > nbasis);
//Construct the basis
basis.resize(nbasis, FineGrid);
for(int b=0;b<nbasis;b++) basis[b] = evecs_in[b];
//Block othornormalize basis
CoarseScalar InnerProd(CoarseGrid);
std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl;
blockOrthogonalise(InnerProd,basis);
std::cout << GridLogMessage <<" Gramm-Schmidt pass 2"<<std::endl;
blockOrthogonalise(InnerProd,basis);
//The coarse grid representation is the field of vectors of block inner products
std::cout << GridLogMessage << "Compressing eigevectors" << std::endl;
compressed_evecs.resize(nevecs, CoarseGrid);
for(int i=0;i<nevecs;i++) blockProject(compressed_evecs[i], evecs_in[i], basis);
std::cout << GridLogMessage << "Compression complete" << std::endl;
}
void uncompress(FineField &evec, const int i, const std::vector<FineField> &basis, const std::vector<CoarseField> &compressed_evecs) const{
blockPromote(compressed_evecs[i],evec,basis);
}
//Test uncompressed eigenvectors of Linop.HermOp to precision 'base_tolerance' for i<nbasis and 'base_tolerance*relax' for i>=nbasis
//Because the uncompressed evec has a lot of high mode noise (unimportant for deflation) we apply a smoother before testing.
//The Chebyshev used by the Lanczos should be sufficient as a smoother
bool testCompression(LinearOperatorBase<FineField> &Linop, OperatorFunction<FineField> &smoother,
const std::vector<FineField> &basis, const std::vector<CoarseField> &compressed_evecs, const std::vector<RealD> &evals,
const RealD base_tolerance, const RealD relax){
std::cout << GridLogMessage << "Testing quality of uncompressed evecs (after smoothing)" << std::endl;
GridBase* FineGrid = basis[0].Grid();
GridBase* CoarseGrid = compressed_evecs[0].Grid();
bool fail = false;
FineField evec(FineGrid), Mevec(FineGrid), evec_sm(FineGrid);
for(int i=0;i<compressed_evecs.size();i++){
std::cout << GridLogMessage << "Uncompressing evec " << i << std::endl;
uncompress(evec, i, basis, compressed_evecs);
std::cout << GridLogMessage << "Smoothing evec " << i << std::endl;
smoother(Linop, evec, evec_sm);
std::cout << GridLogMessage << "Computing residual for evec " << i << std::endl;
std::cout << GridLogMessage << "Linop" << std::endl;
Linop.HermOp(evec_sm, Mevec);
std::cout << GridLogMessage << "Linalg" << std::endl;
Mevec = Mevec - evals[i]*evec_sm;
std::cout << GridLogMessage << "Resid" << std::endl;
RealD tol = base_tolerance * (i<nbasis ? 1. : relax);
RealD res = sqrt(norm2(Mevec));
std::cout << GridLogMessage << "Evec idx " << i << " res " << res << " tol " << tol << std::endl;
if(res > tol) fail = true;
}
return fail;
}
//Compare uncompressed evecs to original evecs
void compareEvecs(const std::vector<FineField> &basis, const std::vector<CoarseField> &compressed_evecs, const std::vector<FineField> &orig_evecs){
std::cout << GridLogMessage << "Comparing uncompressed evecs to original evecs" << std::endl;
GridBase* FineGrid = basis[0].Grid();
GridBase* CoarseGrid = compressed_evecs[0].Grid();
FineField evec(FineGrid), diff(FineGrid);
for(int i=0;i<compressed_evecs.size();i++){
std::cout << GridLogMessage << "Uncompressing evec " << i << std::endl;
uncompress(evec, i, basis, compressed_evecs);
diff = orig_evecs[i] - evec;
RealD res = sqrt(norm2(diff));
std::cout << GridLogMessage << "Evec idx " << i << " res " << res << std::endl;
}
}
};
template<class Fobj,class CComplex,int nbasis>
void compareBlockPromoteTimings(const std::vector<Lattice<Fobj> > &basis, const std::vector<Lattice<iVector<CComplex,nbasis > > > &compressed_evecs){
typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CComplex> CoarseScalar;
typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<Fobj> FineField;
GridStopWatch timer;
GridBase* FineGrid = basis[0].Grid();
GridBase* CoarseGrid = compressed_evecs[0].Grid();
FineField v1(FineGrid), v2(FineGrid);
//Start with a cold start
for(int i=0;i<basis.size();i++){
autoView( b_ , basis[i], CpuWrite);
}
for(int i=0;i<compressed_evecs.size();i++){
autoView( b_ , compressed_evecs[i], CpuWrite);
}
{
autoView( b_, v1, CpuWrite );
}
timer.Start();
blockPromote(compressed_evecs[0],v1,basis);
timer.Stop();
std::cout << GridLogMessage << "Time for cold blockPromote v1 " << timer.Elapsed() << std::endl;
//Test to ensure it is actually doing a cold start by repeating
for(int i=0;i<basis.size();i++){
autoView( b_ , basis[i], CpuWrite);
}
for(int i=0;i<compressed_evecs.size();i++){
autoView( b_ , compressed_evecs[i], CpuWrite);
}
{
autoView( b_, v1, CpuWrite );
}
timer.Reset();
timer.Start();
blockPromote(compressed_evecs[0],v1,basis);
timer.Stop();
std::cout << GridLogMessage << "Time for cold blockPromote v1 repeat (should be the same as above) " << timer.Elapsed() << std::endl;
}
struct Args{
int Ls;
RealD mass;
RealD M5;
bool is_cps_cfg;
RealD mobius_scale; //b+c
CPSLanczosParams fine;
double coarse_relax_tol;
std::vector<int> blockSize;
std::vector<int> GparityDirs;
bool write_fine;
std::string write_fine_file;
bool read_fine;
std::string read_fine_file;
int basis_size;
Args(){
blockSize = {2,2,2,2,2};
GparityDirs = {1,1,1}; //1 for each GP direction
Ls = 12;
mass = 0.01;
M5 = 1.8;
is_cps_cfg = false;
mobius_scale = 2;
fine.alpha = 2;
fine.beta = 0.1;
fine.ch_ord = 100;
fine.N_use = 70;
fine.N_get = 60;
fine.N_true_get = 60;
fine.stop_rsd = 1e-8;
fine.maxits = 10000;
coarse_relax_tol = 1e5;
write_fine = false;
read_fine = false;
basis_size = 100;
}
};
GparityWilsonImplD::ImplParams setupGparityParams(const std::vector<int> &GparityDirs){
//Setup G-parity BCs
assert(Nd == 4);
std::vector<int> dirs4(4);
for(int i=0;i<3;i++) dirs4[i] = GparityDirs[i];
dirs4[3] = 0; //periodic gauge BC in time
std::cout << GridLogMessage << "Gauge BCs: " << dirs4 << std::endl;
ConjugateGimplD::setDirections(dirs4); //gauge BC
GparityWilsonImplD::ImplParams Params;
for(int i=0;i<Nd-1;i++) Params.twists[i] = GparityDirs[i]; //G-parity directions
Params.twists[Nd-1] = 1; //APBC in time direction
std::cout << GridLogMessage << "Fermion BCs: " << Params.twists << std::endl;
return Params;
}
WilsonImplD::ImplParams setupParams(){
WilsonImplD::ImplParams Params;
Complex one(1.0);
Complex mone(-1.0);
for(int i=0;i<Nd-1;i++) Params.boundary_phases[i] = one;
Params.boundary_phases[Nd-1] = mone;
return Params;
}
template<int nbasis, typename ActionType>
void run_b(ActionType &action, const std::string &config, const Args &args){
//Fine grids
GridCartesian * UGrid = (GridCartesian*)action.GaugeGrid();
GridRedBlackCartesian * UrbGrid = (GridRedBlackCartesian*)action.GaugeRedBlackGrid();
GridCartesian * FGrid = (GridCartesian*)action.FermionGrid();
GridRedBlackCartesian * FrbGrid = (GridRedBlackCartesian*)action.FermionRedBlackGrid();
//Setup the coarse grids
auto fineLatt = GridDefaultLatt();
Coordinate coarseLatt(4);
for (int d=0;d<4;d++){
coarseLatt[d] = fineLatt[d]/args.blockSize[d]; assert(coarseLatt[d]*args.blockSize[d]==fineLatt[d]);
}
std::cout << GridLogMessage<< " 5d coarse lattice is ";
for (int i=0;i<4;i++){
std::cout << coarseLatt[i]<<"x";
}
int cLs = args.Ls/args.blockSize[4]; assert(cLs*args.blockSize[4]==args.Ls);
std::cout << cLs<<std::endl;
GridCartesian * CoarseGrid4 = SpaceTimeGrid::makeFourDimGrid(coarseLatt, GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * CoarseGrid4rb = SpaceTimeGrid::makeFourDimRedBlackGrid(CoarseGrid4);
GridCartesian * CoarseGrid5 = SpaceTimeGrid::makeFiveDimGrid(cLs,CoarseGrid4);
typedef vTComplex CComplex;
typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CComplex> CoarseScalar;
typedef Lattice<CoarseSiteVector> CoarseField;
typedef typename ActionType::FermionField FermionField;
SchurDiagTwoOperator<ActionType,FermionField> SchurOp(action);
typedef typename ActionType::SiteSpinor SiteSpinor;
const CPSLanczosParams &fine = args.fine;
//Do the fine Lanczos
std::vector<RealD> evals;
std::vector<FermionField> evecs;
if(args.read_fine){
evals.resize(fine.N_true_get);
evecs.resize(fine.N_true_get, FrbGrid);
std::string evals_file = args.read_fine_file + "_evals.xml";
std::string evecs_file = args.read_fine_file + "_evecs.scidac";
std::cout << GridLogIRL<< "Reading evals from "<<evals_file<<std::endl;
XmlReader RDx(evals_file);
read(RDx,"evals",evals);
assert(evals.size()==fine.N_true_get);
std::cout << GridLogIRL<< "Reading evecs from "<<evecs_file<<std::endl;
emptyUserRecord record;
Grid::ScidacReader RD ;
RD.open(evecs_file);
for(int k=0;k<fine.N_true_get;k++) {
evecs[k].Checkerboard()=Odd;
RD.readScidacFieldRecord(evecs[k],record);
}
RD.close();
}else{
int Nstop = fine.Nstop(); //==N_true_get
int Nm = fine.Nm();
int Nk = fine.Nk();
RealD resid = fine.stop_rsd;
int MaxIt = fine.maxits;
assert(nbasis<=Nm);
Chebyshev<FermionField> Cheby(fine.getChebyParams());
FunctionHermOp<FermionField> ChebyOp(Cheby,SchurOp);
PlainHermOp<FermionField> Op(SchurOp);
evals.resize(Nm);
evecs.resize(Nm,FrbGrid);
ImplicitlyRestartedLanczos<FermionField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,0,0);
FermionField src(FrbGrid);
typedef typename FermionField::scalar_type Scalar;
src=Scalar(1.0);
src.Checkerboard() = Odd;
int Nconv;
IRL.calc(evals, evecs,src,Nconv,false);
if(Nconv < Nstop) assert(0 && "Fine lanczos failed to converge the required number of evecs"); //algorithm doesn't consider this a failure
if(Nconv > Nstop){
//Yes this potentially throws away some evecs but it is better than having a random number of evecs between Nstop and Nm!
evals.resize(Nstop);
evecs.resize(Nstop, FrbGrid);
}
if(args.write_fine){
std::string evals_file = args.write_fine_file + "_evals.xml";
std::string evecs_file = args.write_fine_file + "_evecs.scidac";
std::cout << GridLogIRL<< "Writing evecs to "<<evecs_file<<std::endl;
emptyUserRecord record;
Grid::ScidacWriter WR(FrbGrid->IsBoss());
WR.open(evecs_file);
for(int k=0;k<evecs.size();k++) {
WR.writeScidacFieldRecord(evecs[k],record);
}
WR.close();
std::cout << GridLogIRL<< "Writing evals to "<<evals_file<<std::endl;
XmlWriter WRx(evals_file);
write(WRx,"evals",evals);
}
}
//Do the compression
LocalCoherenceCompressor<SiteSpinor,vTComplex,nbasis> compressor;
std::vector<FermionField> basis(nbasis,FrbGrid);
std::vector<CoarseField> compressed_evecs(evecs.size(),CoarseGrid5);
compressor.compress(basis, compressed_evecs, evecs, FrbGrid, CoarseGrid5);
compareBlockPromoteTimings(basis, compressed_evecs);
//Compare uncompressed and original evecs
compressor.compareEvecs(basis, compressed_evecs, evecs);
//Create the smoother
Chebyshev<FermionField> smoother(fine.getChebyParams());
//Test the quality of the uncompressed evecs
assert( compressor.testCompression(SchurOp, smoother, basis, compressed_evecs, evals, fine.stop_rsd, args.coarse_relax_tol) );
}
template<typename ActionType>
void run(ActionType &action, const std::string &config, const Args &args){
switch(args.basis_size){
case 50:
return run_b<50>(action,config,args);
case 100:
return run_b<100>(action,config,args);
case 150:
return run_b<150>(action,config,args);
case 200:
return run_b<200>(action,config,args);
case 250:
return run_b<250>(action,config,args);
case 300:
return run_b<300>(action,config,args);
case 350:
return run_b<350>(action,config,args);
case 400:
return run_b<400>(action,config,args);
default:
assert(0 && "Unsupported basis size: allowed values are 50,100,200,250,300,350,400");
}
}
//Note: because we rely upon physical properties we must use a "real" gauge configuration
int main (int argc, char ** argv) {
Grid_init(&argc,&argv);
GridLogIRL.TimingMode(1);
if(argc < 3){
std::cout << GridLogMessage << "Usage: <exe> <config file> <gparity dirs> <options>" << std::endl;
std::cout << GridLogMessage << "<gparity dirs> should have the format a.b.c where a,b,c are 0,1 depending on whether there are G-parity BCs in that direction" << std::endl;
std::cout << GridLogMessage << "Options:" << std::endl;
std::cout << GridLogMessage << "--Ls <value> : Set Ls (default 12)" << std::endl;
std::cout << GridLogMessage << "--mass <value> : Set the mass (default 0.01)" << std::endl;
std::cout << GridLogMessage << "--block <value> : Set the block size. Format should be a.b.c.d.e where a-e are the block extents (default 2.2.2.2.2)" << std::endl;
std::cout << GridLogMessage << "--is_cps_cfg : Indicate that the configuration was generated with CPS where until recently the stored plaquette was wrong by a factor of 2" << std::endl;
std::cout << GridLogMessage << "--write_irl_templ: Write a template for the parameters file of the Lanczos to \"irl_templ.xml\"" << std::endl;
std::cout << GridLogMessage << "--read_irl_fine <filename>: Real the parameters file for the fine Lanczos" << std::endl;
std::cout << GridLogMessage << "--write_fine <filename stub>: Write fine evecs/evals to filename starting with the stub" << std::endl;
std::cout << GridLogMessage << "--read_fine <filename stub>: Read fine evecs/evals from filename starting with the stub" << std::endl;
std::cout << GridLogMessage << "--coarse_relax_tol : Set the relaxation parameter for evaluating the residual of the reconstructed eigenvectors outside of the basis (default 1e5)" << std::endl;
std::cout << GridLogMessage << "--action : Set the action from 'DWF', 'Mobius' (default Mobius)" << std::endl;
std::cout << GridLogMessage << "--mobius_scale : Set the Mobius scale b+c (default 2)" << std::endl;
std::cout << GridLogMessage << "--basis_size : Set the basis size from 50,100,150,200,250,300,350,400 (default 100)" << std::endl;
Grid_finalize();
return 1;
}
std::string config = argv[1];
Args args;
GridCmdOptionIntVector(argv[2], args.GparityDirs);
assert(args.GparityDirs.size() == 3);
std::string action_s = "Mobius";
for(int i=3;i<argc;i++){
std::string sarg = argv[i];
if(sarg == "--Ls"){
args.Ls = std::stoi(argv[i+1]);
std::cout << GridLogMessage << "Set Ls to " << args.Ls << std::endl;
}else if(sarg == "--mass"){
std::istringstream ss(argv[i+1]); ss >> args.mass;
std::cout << GridLogMessage << "Set quark mass to " << args.mass << std::endl;
}else if(sarg == "--block"){
GridCmdOptionIntVector(argv[i+1], args.blockSize);
assert(args.blockSize.size() == 5);
std::cout << GridLogMessage << "Set block size to ";
for(int q=0;q<5;q++) std::cout << args.blockSize[q] << " ";
std::cout << std::endl;
}else if(sarg == "--is_cps_cfg"){
args.is_cps_cfg = true;
}else if(sarg == "--write_irl_templ"){
XmlWriter writer("irl_templ.xml");
write(writer,"Params",args.fine);
Grid_finalize();
return 0;
}else if(sarg == "--read_irl_fine"){
std::cout << GridLogMessage << "Reading fine IRL params from " << argv[i+1] << std::endl;
XmlReader reader(argv[i+1]);
read(reader, "Params", args.fine);
}else if(sarg == "--write_fine"){
args.write_fine = true;
args.write_fine_file = argv[i+1];
}else if(sarg == "--read_fine"){
args.read_fine = true;
args.read_fine_file = argv[i+1];
}else if(sarg == "--coarse_relax_tol"){
std::istringstream ss(argv[i+1]); ss >> args.coarse_relax_tol;
std::cout << GridLogMessage << "Set coarse IRL relaxation parameter to " << args.coarse_relax_tol << std::endl;
}else if(sarg == "--action"){
action_s = argv[i+1];
std::cout << "Action set to " << action_s << std::endl;
}else if(sarg == "--mobius_scale"){
std::istringstream ss(argv[i+1]); ss >> args.mobius_scale;
std::cout << GridLogMessage << "Set Mobius scale to " << args.mobius_scale << std::endl;
}else if(sarg == "--basis_size"){
args.basis_size = std::stoi(argv[i+1]);
std::cout << GridLogMessage << "Set basis size to " << args.basis_size << std::endl;
}
}
//Fine grids
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplex::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(args.Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(args.Ls,UGrid);
LatticeGaugeField Umu(UGrid);
bool is_gparity = false;
for(auto g : args.GparityDirs) if(g) is_gparity = true;
double bmc = 1.;
double b = (args.mobius_scale + bmc)/2.; // b = 1/2 [ (b+c) + (b-c) ]
double c = (args.mobius_scale - bmc)/2.; // c = 1/2 [ (b+c) - (b-c) ]
if(is_gparity){
GparityWilsonImplD::ImplParams Params = setupGparityParams(args.GparityDirs);
readConfiguration<ConjugateGimplD>(Umu, config, args.is_cps_cfg); //Read the gauge field
if(action_s == "DWF"){
GparityDomainWallFermionD action(Umu, *FGrid, *FrbGrid, *UGrid, *UrbGrid, args.mass, args.M5, Params);
run(action, config, args);
}else if(action_s == "Mobius"){
GparityMobiusFermionD action(Umu, *FGrid, *FrbGrid, *UGrid, *UrbGrid, args.mass, args.M5, b, c, Params);
run(action, config, args);
}
}else{
WilsonImplD::ImplParams Params = setupParams();
readConfiguration<PeriodicGimplD>(Umu, config, args.is_cps_cfg); //Read the gauge field
if(action_s == "DWF"){
DomainWallFermionD action(Umu, *FGrid, *FrbGrid, *UGrid, *UrbGrid, args.mass, args.M5, Params);
run(action, config, args);
}else if(action_s == "Mobius"){
MobiusFermionD action(Umu, *FGrid, *FrbGrid, *UGrid, *UrbGrid, args.mass, args.M5, b, c, Params);
run(action, config, args);
}
}
Grid_finalize();
}