code: def test_yloss(self, yloss, output):
      self.exp.yloss_type = yloss
      loss1 = self.exp.compute_yloss()
      assert (
          pytest.approx(loss1.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 2 for calling the TestDiceTorchMethods obj's underlying member method code with example usage: obj.test_yloss(yloss, output) without return types