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Merge branch 'develop' into feature/gpu-port
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Grid/algorithms/iterative/ConjugateGradient.h
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Grid/algorithms/iterative/ConjugateGradient.h
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/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./lib/algorithms/iterative/ConjugateGradient.h
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Copyright (C) 2015
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Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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Author: paboyle <paboyle@ph.ed.ac.uk>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution
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directory
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*************************************************************************************/
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/* END LEGAL */
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#ifndef GRID_CONJUGATE_GRADIENT_H
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#define GRID_CONJUGATE_GRADIENT_H
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NAMESPACE_BEGIN(Grid);
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/////////////////////////////////////////////////////////////
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// Base classes for iterative processes based on operators
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// single input vec, single output vec.
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/////////////////////////////////////////////////////////////
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template <class Field>
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class ConjugateGradient : public OperatorFunction<Field> {
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public:
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bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
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// Defaults true.
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RealD Tolerance;
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Integer MaxIterations;
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Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
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ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
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: Tolerance(tol),
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MaxIterations(maxit),
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ErrorOnNoConverge(err_on_no_conv){};
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void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
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psi.Checkerboard() = src.Checkerboard();
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conformable(psi, src);
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RealD cp, c, a, d, b, ssq, qq, b_pred;
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Field p(src);
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Field mmp(src);
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Field r(src);
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// Initial residual computation & set up
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RealD guess = norm2(psi);
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assert(std::isnan(guess) == 0);
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Linop.HermOpAndNorm(psi, mmp, d, b);
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r = src - mmp;
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p = r;
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a = norm2(p);
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cp = a;
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ssq = norm2(src);
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std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: guess " << guess << std::endl;
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std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: src " << ssq << std::endl;
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std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mp " << d << std::endl;
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std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mmp " << b << std::endl;
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std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: cp,r " << cp << std::endl;
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std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: p " << a << std::endl;
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RealD rsq = Tolerance * Tolerance * ssq;
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// Check if guess is really REALLY good :)
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if (cp <= rsq) {
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return;
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}
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std::cout << GridLogIterative << std::setprecision(8)
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<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
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GridStopWatch LinalgTimer;
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GridStopWatch InnerTimer;
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GridStopWatch AxpyNormTimer;
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GridStopWatch LinearCombTimer;
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GridStopWatch MatrixTimer;
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GridStopWatch SolverTimer;
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SolverTimer.Start();
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int k;
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for (k = 1; k <= MaxIterations*1000; k++) {
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c = cp;
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MatrixTimer.Start();
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Linop.HermOp(p, mmp);
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MatrixTimer.Stop();
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LinalgTimer.Start();
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InnerTimer.Start();
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ComplexD dc = innerProduct(p,mmp);
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InnerTimer.Stop();
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d = dc.real();
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a = c / d;
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AxpyNormTimer.Start();
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cp = axpy_norm(r, -a, mmp, r);
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AxpyNormTimer.Stop();
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b = cp / c;
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LinearCombTimer.Start();
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auto psi_v = psi.View();
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auto p_v = p.View();
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auto r_v = r.View();
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parallel_for(int ss=0;ss<src.Grid()->oSites();ss++){
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vstream(psi_v[ss], a * p_v[ss] + psi_v[ss]);
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vstream(p_v [ss], b * p_v[ss] + r_v[ss]);
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}
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LinearCombTimer.Stop();
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LinalgTimer.Stop();
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std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
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<< " residual^2 " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
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// Stopping condition
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if (cp <= rsq) {
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SolverTimer.Stop();
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Linop.HermOpAndNorm(psi, mmp, d, qq);
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p = mmp - src;
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RealD srcnorm = std::sqrt(norm2(src));
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RealD resnorm = std::sqrt(norm2(p));
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RealD true_residual = resnorm / srcnorm;
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std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k << std::endl;
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std::cout << GridLogMessage << "\tComputed residual " << std::sqrt(cp / ssq)<<std::endl;
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std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
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std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
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std::cout << GridLogMessage << "Time breakdown "<<std::endl;
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std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
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if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
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IterationsToComplete = k;
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return;
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}
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}
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std::cout << GridLogMessage << "ConjugateGradient did NOT converge"
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<< std::endl;
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if (ErrorOnNoConverge) assert(0);
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IterationsToComplete = k;
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}
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};
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NAMESPACE_END(Grid);
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#endif
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