code: def test_yloss(self, yloss, output):
      if tf.__version__[0] == "1":
          loss1 = self.exp.compute_yloss(method=yloss)
          loss1 = self.exp.dice_sess.run(
              loss1, feed_dict={self.exp.target_cf: np.array([[1]])}
          )
      else:
          self.exp.target_cf_class = np.array(
              [[self.desired_class]], dtype=np.float32
          )
          self.exp.yloss_type = yloss
          loss1 = self.exp.compute_yloss().numpy()
      assert pytest.approx(loss1, 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 2 for calling the TestDiceTensorFlowMethods obj's underlying member method code with example usage: obj.test_yloss(yloss, output) without return types