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CG improvements for smoother
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@ -54,11 +54,14 @@ public:
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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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ErrorOnNoConverge(err_on_no_conv)
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{};
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void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
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GRID_TRACE("ConjugateGradient");
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GridStopWatch PreambleTimer;
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PreambleTimer.Start();
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psi.Checkerboard() = src.Checkerboard();
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conformable(psi, src);
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@ -66,22 +69,26 @@ public:
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RealD cp, c, a, d, b, ssq, qq;
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//RealD 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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// Was doing copies
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Field p(src.Grid());
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Field mmp(src.Grid());
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Field r(src.Grid());
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// Initial residual computation & set up
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ssq = norm2(src);
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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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if ( guess == 0.0 ) {
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r = src;
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p = r;
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a = ssq;
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} else {
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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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}
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cp = a;
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ssq = norm2(src);
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// Handle trivial case of zero src
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if (ssq == 0.){
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@ -103,7 +110,7 @@ public:
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// Check if guess is really REALLY good :)
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if (cp <= rsq) {
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TrueResidual = std::sqrt(a/ssq);
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std::cout << GridLogMessage << "ConjugateGradient guess is converged already : cp " << cp <<" rsq "<<rsq <<" ssq "<<ssq<< std::endl;
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std::cout << GridLogMessage << "ConjugateGradient guess is converged already " << std::endl;
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IterationsToComplete = 0;
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return;
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}
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@ -111,6 +118,7 @@ public:
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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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PreambleTimer.Stop();
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GridStopWatch LinalgTimer;
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GridStopWatch InnerTimer;
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GridStopWatch AxpyNormTimer;
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@ -183,7 +191,8 @@ public:
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<< "\tTrue residual " << true_residual
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<< "\tTarget " << Tolerance << std::endl;
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std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
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// std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tSolver Elapsed " << SolverTimer.Elapsed() <<std::endl;
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std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
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std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
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std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
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@ -202,13 +211,22 @@ public:
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}
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}
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// Failed. Calculate true residual before giving up
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Linop.HermOpAndNorm(psi, mmp, d, qq);
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p = mmp - src;
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TrueResidual = sqrt(norm2(p)/ssq);
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// Linop.HermOpAndNorm(psi, mmp, d, qq);
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// p = mmp - src;
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//TrueResidual = sqrt(norm2(p)/ssq);
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// TrueResidual = 1;
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std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations
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<<" residual "<< TrueResidual<< std::endl;
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<<" residual "<< std::sqrt(cp / ssq)<< std::endl;
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SolverTimer.Stop();
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std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "Solver breakdown "<<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 << GridLogPerformance << "\t\tInner " << InnerTimer.Elapsed() <<std::endl;
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std::cout << GridLogPerformance << "\t\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
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std::cout << GridLogPerformance << "\t\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
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if (ErrorOnNoConverge) assert(0);
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IterationsToComplete = k;
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