code: def test_xi_transform_vgp_vs_gpr(
      gpr_and_vgp: Tuple[GPR, VGP],
      xi_transform: gpflow.optimizers.XiTransform,
  ) -> None:
      """
      With other transforms the solution is not given in a single step, but it should still give the same answer
      after a number of smaller steps.
      """
      gpr, vgp = gpr_and_vgp
      assert_gpr_vs_vgp(
          gpr, vgp, gamma=0.01, xi_transform=xi_transform, maxiter=500
      )
  
imports: from typing import Any, Optional, Tuple
  import numpy
  import pytest
  import tensorflow
  from check_shapes import check_shapes
  import gpflow
  from gpflow import set_trainable
  from gpflow.config import default_float
  from gpflow.kernels import Kernel, SquaredExponential
  from gpflow.likelihoods import Gaussian, Likelihood
  from gpflow.models import GPR, SGPR, SVGP, VGP, BayesianModel
  from gpflow.optimizers import NaturalGradient
label_desc: Use image node_id 13 for calling a global function with example usage: test_xi_transform_vgp_vs_gpr(gpr_and_vgp, xi_transform) without return types