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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def relax_isometry(self):
 """Main function for doing riemannian relaxation."""

        for ii in range(self.relaxation_kwds['niter']):
            self.H = self.compute_dual_rmetric()

            self.loss = self.rieman_loss()
            self.trace_var.update(ii,self.H,self.Y,self.eta,self.loss)
            self.trace_var.print_report(ii)
            self.trace_var.save_backup(ii)

            self.compute_gradient()

            self.make_optimization_step(first_iter=(ii == 0))

        self.H = self.compute_dual_rmetric()

        self.trace_var.update(-1,self.H,self.Y,self.eta,self.loss)
        self.trace_var.print_report(ii)
        tracevar_path = os.path.join(self.trace_var.backup_dir, 'results.pyc')
        TracingVariable.save(self.trace_var,tracevar_path)