code: def test_diversity_loss(self, diversity_loss, output):
      if tf.__version__[0] == "1":
          loss3 = self.exp.compute_diversity_loss(diversity_loss)
          loss3 = self.exp.dice_sess.run(loss3)
      else:
          self.exp.diversity_loss_type = diversity_loss
          loss3 = self.exp.compute_diversity_loss().numpy()
      assert pytest.approx(loss3, abs=1e-4) == output
  
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 4 for calling the TestDiceTensorFlowMethods obj's underlying member method code with example usage: obj.test_diversity_loss(diversity_loss, output) without return types