code: def test_diversity_loss(self, diversity_loss, output):
      self.exp.diversity_loss_type = diversity_loss
      loss3 = self.exp.compute_diversity_loss()
      assert (
          pytest.approx(loss3.data.detach().numpy(), abs=1e-4) == output
      )
  
file_path: DiCE/tests/test_dice_interface/test_dice_pytorch.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 TestDiceTorchMethods obj's underlying member method code with example usage: obj.test_diversity_loss(diversity_loss, output) without return types