diff --git a/demos/getting_started_1.py b/demos/getting_started_1.py index d0390261bb30888251d2943ab0b91ae5ca404198..76425bea5b55995d516d34c119731e8c71093348 100644 --- a/demos/getting_started_1.py +++ b/demos/getting_started_1.py @@ -53,7 +53,7 @@ if __name__ == '__main__': mask = np.ones(position_space.shape) elif mode == 1: # Two dimensional regular grid with chess mask - position_space = ift.RGSpace([4096, 4096]) + position_space = ift.RGSpace([128, 128]) mask = make_chess_mask(position_space) else: # Sphere with half of its locations randomly masked @@ -95,7 +95,7 @@ if __name__ == '__main__': j = R.adjoint_times(N.inverse_times(data)) D_inv = R.adjoint(N.inverse(R)) + S.inverse # Make it invertible - IC = ift.GradientNormController(iteration_limit=500, tol_abs_gradnorm=1e-3, name="blah") + IC = ift.GradientNormController(iteration_limit=500, tol_abs_gradnorm=1e-3) D = ift.InversionEnabler(D_inv, IC, approximation=S.inverse).inverse # WIENER FILTER diff --git a/demos/getting_started_3.py b/demos/getting_started_3.py index f77a7295e53f6e72be14d440cae853052cfc795b..a313268f46ccc5ed9b5badf59fa6a4986260fd98 100644 --- a/demos/getting_started_3.py +++ b/demos/getting_started_3.py @@ -95,7 +95,6 @@ if __name__ == '__main__': N_samples = 20 for i in range(2): metric = H(ift.Linearization.make_var(position)).metric - print(metric) samples = [metric.draw_sample(from_inverse=True) for _ in range(N_samples)]