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Grid/lib/qcd/hmc/HMC.h
Peter Boyle 76d752585b Started a tidy up in the HMC sector. Now comfortable with the two level integrators;
to a little figure out what Guido had done & why -- but there is a neat saving of force
evaluations across the nesting time boundary making use of linearity of the leapP in dt.

I cleaned up the printing, reduced the volume of code, in the process sharing printing
between all integrators. Placed an assert that the total integration time for all integrators
must match at end of trajectory.

Have now verified e-dH = 1 for nested integrators in Wilson/Wilson runs with both
Omelyan and with Leapfrog so substantial confidence gained.
2015-08-29 17:18:43 +01:00

124 lines
3.3 KiB
C++

//--------------------------------------------------------------------
/*! @file HMC.h
* @brief Classes for Hybrid Monte Carlo update
*
* @author Guido Cossu
* Time-stamp: <2015-07-30 16:58:26 neo>
*/
//--------------------------------------------------------------------
#ifndef HMC_INCLUDED
#define HMC_INCLUDED
#include <string>
namespace Grid{
namespace QCD{
struct HMCparameters{
Integer Nsweeps; /* @brief Number of sweeps in this run */
Integer TotalSweeps; /* @brief If provided, the total number of sweeps */
Integer ThermalizationSteps;
Integer StartingConfig;
Integer SaveInterval; //Setting to 0 does not save configurations
std::string Filename_prefix; // To save configurations and rng seed
HMCparameters();
};
template <class Algorithm>
class HybridMonteCarlo{
const HMCparameters Params;
GridSerialRNG sRNG; // Fixme: need a RNG management strategy.
Integrator<Algorithm>& MD;
/////////////////////////////////////////////////////////
// Metropolis step
/////////////////////////////////////////////////////////
bool metropolis_test(const RealD DeltaH){
RealD rn_test;
RealD prob = std::exp(-DeltaH);
random(sRNG,rn_test);
std::cout<<GridLogMessage<< "--------------------------------------------\n";
std::cout<<GridLogMessage<< "dH = "<<DeltaH << " Random = "<< rn_test <<"\n";
std::cout<<GridLogMessage<< "Acc. Probability = " << ((prob<1.0)? prob: 1.0)<< " ";
if((prob >1.0) || (rn_test <= prob)){ // accepted
std::cout<<GridLogMessage <<"-- ACCEPTED\n";
return true;
} else { // rejected
std::cout<<GridLogMessage <<"-- REJECTED\n";
return false;
}
}
/////////////////////////////////////////////////////////
// Evolution
/////////////////////////////////////////////////////////
RealD evolve_step(LatticeGaugeField& U){
MD.init(U); // set U and initialize P and phi's
RealD H0 = MD.S(U); // initial state action
std::cout<<GridLogMessage<<"Total H before = "<< H0 << "\n";
MD.integrate(U);
RealD H1 = MD.S(U); // updated state action
std::cout<<GridLogMessage<<"Total H after = "<< H1 << "\n";
return (H1-H0);
}
public:
/////////////////////////////////////////
// Constructor
/////////////////////////////////////////
HybridMonteCarlo(HMCparameters Pms, Integrator<Algorithm>& MolDyn): Params(Pms),MD(MolDyn) {
//FIXME... initialize RNGs also with seed ; RNG management strategy
sRNG.SeedRandomDevice();
}
~HybridMonteCarlo(){};
void evolve(LatticeGaugeField& Uin){
Real DeltaH;
// Thermalizations
for(int iter=1; iter <= Params.ThermalizationSteps; ++iter){
std::cout<<GridLogMessage << "-- # Thermalization step = "<< iter << "\n";
DeltaH = evolve_step(Uin);
std::cout<<GridLogMessage<< "dH = "<< DeltaH << "\n";
}
// Actual updates (evolve a copy Ucopy then copy back eventually)
LatticeGaugeField Ucopy(Uin._grid);
for(int iter=Params.StartingConfig; iter < Params.Nsweeps+Params.StartingConfig; ++iter){
std::cout<<GridLogMessage << "-- # Sweep = "<< iter << "\n";
Ucopy = Uin;
DeltaH = evolve_step(Ucopy);
if(metropolis_test(DeltaH)) Uin = Ucopy;
}
}
};
}// QCD
}// Grid
#endif