portelli/Grid
1
0
Fork 0
mirror of https://github.com/paboyle/Grid.git synced 2024-11-14 01:35:36 +00:00
Code Releases Activity
3d517bbd2a
Grid/HMC/Mobius2p1fIDSDRGparityEOFA_48ID.cc

876 lines
37 KiB
C++
Raw Blame History

/*************************************************************************************
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) {
#if 0
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,FermionImplPolicyD2> 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;
#endif
} // main
View Git Blame Copy Permalink