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Grid/tests/Grid_rng_fixed.cc
Peter Boyle 4dba8522a1 Got unpreconditioned conjugate gradient to run and converge on a random (uniform random,
not even SU(3) for now) gauge field. Convergence history is correctly indepdendent of decomposition
on 1,2,4,8,16 mpi tasks.
Found a couple of simd bugs which required fixed and enhanced the Grid_simd.cc test suite.
Implemented the Mdag, M, MdagM, Meooe Mooee schur type stuff in the wilson dop.
2015-05-19 13:57:35 +01:00

53 lines
1.6 KiB
C++

#include <Grid.h>
#include <parallelIO/GridNerscIO.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(4,vComplexF::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
std::vector<int> seeds({1,2,3,4});
GridSerialRNG fsRNG; fsRNG.SeedFixedIntegers(seeds);
GridParallelRNG fpRNG(&Grid); fpRNG.SeedFixedIntegers(seeds);
vComplexF tmp; random(fsRNG,tmp);
std::cout<<"Random vComplexF (fixed seed)\n"<< tmp<<std::endl;
std::cout<<"conjugate(tmp)\n"<< conjugate(tmp)<<std::endl;
std::cout<<"conjugate(tmp)*tmp\n"<< conjugate(tmp)*tmp<<std::endl;
std::cout<<"innerProduct"<< innerProduct(tmp,tmp)<<std::endl;
std::cout<<"Reduce(innerProduct)"<< Reduce(innerProduct(tmp,tmp))<<std::endl;
SpinMatrix rnd ;
random(fsRNG,rnd);
std::cout<<"Random Spin Matrix (fixed seed)\n"<< rnd<<std::endl;
SpinVector rv;
random(fsRNG,rv);
std::cout<<"Random Spin Vector (fixed seed)\n"<< rv<<std::endl;
gaussian(fsRNG,rv);
std::cout<<"Gaussian Spin Vector (fixed seed)\n"<< rv<<std::endl;
LatticeColourVector lcv(&Grid);
LatticeFermion src(&Grid); random(fpRNG,src);
std::cout << "src norm : " << norm2(src)<<std::endl;
std::cout << "src " << src<<std::endl;
random(fpRNG,lcv);
std::cout<<"Random Lattice Colour Vector (fixed seed)\n"<< lcv<<std::endl;
Grid_finalize();
}