2a3d7175b8da52a64da24e2ed64ca3421ded6bbe,framework/Optimizers/GradientBasedOptimizer.py,GradientBasedOptimizer,localFinalizeActualSampling,#GradientBasedOptimizer#Any#Any#Any#,331

Before Change

                  //self.solutionExport.updateOutputValue([trajID,var], np.append(tempTrajOutputVar,np.asarray(outputeval[var][index])))
                  self.solutionExport.updateOutputValue([trajID,var], np.append(tempTrajOutputVar,np.asarray(currentObjectiveValue)))
              if "varsUpdate" in self.solutionExport.getParaKeys("outputs"):
                tempTrajOutputVar = copy.deepcopy(tempTrajOutput.get("varsUpdate", np.asarray([])))
                self.solutionExport.updateOutputValue([trajID,"varsUpdate"], np.append(tempTrajOutputVar,np.asarray([self.counter["solutionUpdate"][traj]])))

              self.counter["solutionUpdate"][traj] += 1
          else:

After Change

                elif var == "_stepSize":
                  new = [self.counter["lastStepSize"][traj]]
                elif var == "_gradient":
                  new = np.array(self.counter["gradientHistory"][traj][0]*self.counter["gradNorm"][traj][0])
                new = np.asarray(new)
                self.solutionExport.updateOutputValue([trajID,var],np.append(old,new))

              self.counter["solutionUpdate"][traj] += 1

Instances