Added iteration timer to Optimizer and Reconstructor

Signed-off-by: Dmitry I. Lyakh <quant4me@gmail.com>

src/exatn/optimizer.cpp

 /** ExaTN:: Variational optimizer of a closed symmetric tensor network expansion functional
-REVISION: 2021/11/19
+REVISION: 2021/11/21
 
 Copyright (C) 2018-2021 Dmitry I. Lyakh (Liakh)
 Copyright (C) 2018-2021 Oak Ridge National Laboratory (UT-Battelle) **/
@@ -296,7 +296,9 @@ bool TensorNetworkOptimizer::optimize_sd(const ProcessGroup & process_group)
   unsigned int iteration = 0;
   while((!converged) && (iteration < max_iterations_)){
    if(TensorNetworkOptimizer::debug > 0)
-    std::cout << "#DEBUG(exatn::TensorNetworkOptimizer): Iteration " << iteration << std::endl;
+    std::cout << "#DEBUG(exatn::TensorNetworkOptimizer)["
+              << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(numericalServer->getTimeStampStart())
+              << "]: Iteration " << iteration << std::endl;
    converged = true;
    double max_convergence = 0.0;
    average_expect_val_ = std::complex<double>{0.0,0.0};

src/exatn/reconstructor.cpp

 /** ExaTN:: Reconstructs an approximate tensor network expansion for a given tensor network expansion
-REVISION: 2021/11/19
+REVISION: 2021/11/21
 
 Copyright (C) 2018-2021 Dmitry I. Lyakh (Liakh)
 Copyright (C) 2018-2021 Oak Ridge National Laboratory (UT-Battelle) **/
@@ -282,7 +282,9 @@ bool TensorNetworkReconstructor::reconstruct_sd(const ProcessGroup & process_gro
   unsigned int iteration = 0;
   while((!converged) && (iteration < max_iterations_)){
    if(TensorNetworkReconstructor::debug > 0)
-    std::cout << "#DEBUG(exatn::TensorNetworkReconstructor): Iteration " << iteration << std::endl;
+    std::cout << "#DEBUG(exatn::TensorNetworkReconstructor)["
+              << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(numericalServer->getTimeStampStart())
+              << "]: Iteration " << iteration << std::endl;
    double max_grad_norm = 0.0;
    for(auto & environment: environments_){
     //Nesterov extrapolation:

src/exatn/tests/NumServerTester.cpp

@@ -3607,7 +3607,7 @@ TEST(NumServerTester, ExcitedMCVQE) {
  const std::string tn_type = "TTN"; //MPS or TTN
  const double accuracy = 1e-4;
 
- exatn::resetLoggingLevel(1,2); //debug
+ //exatn::resetLoggingLevel(1,2); //debug
 
  bool success = true;
  bool root = (exatn::getProcessRank() == 0);