def METHOD_NAME(self):
    # We specify different beta, so that the first alpha is 0.99
    sample = self.full_loop(set_alpha_to_one=True, beta_start=0.01)
    result_sum = torch.sum(torch.abs(sample))
    result_mean = torch.mean(torch.abs(sample))
    assert abs(result_sum.item() - 259.8116) < 1e-2
    assert abs(result_mean.item() - 0.3383) < 1e-3