code: def test_regularization_loss(self):
      loss4 = self.exp.compute_regularization_loss()
      if tf.__version__[0] == "1":
          loss4 = self.exp.dice_sess.run(loss4)
      else:
          loss4 = loss4.numpy()
      # regularization loss computed for given query instance and feature weights.
      assert pytest.approx(loss4, abs=1e-4) == 0.2086
  
file_path: DiCE/tests/test_dice_interface/test_dice_tensorflow.py
imports: import numpy
  import pytest
  import dice_ml
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.utils import helpers
label_desc: Use image node_id 5 for calling the TestDiceTensorFlowMethods obj's underlying member method code with example usage: obj.test_regularization_loss() without return types