code: def assert_different(
      value1: tf.Tensor, value2: tf.Tensor, rtol: float = 0.07
  ) -> None:
      """assert relative difference > rtol"""
      relative_difference = (value1 - value2) / (value1 + value2)
      assert np.abs(relative_difference) > rtol
  
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 7 for calling a global function with example usage: assert_different(value1, value2, rtol) without return types