code: def test_proximity_loss(self):
      if tf.__version__[0] == "1":
          loss2 = self.exp.compute_proximity_loss()
          loss2 = self.exp.dice_sess.run(
              loss2, feed_dict={self.exp.x1: self.query_instance}
          )
      else:
          self.exp.x1 = tf.constant(
              self.query_instance, dtype=tf.float32
          )
          loss2 = self.exp.compute_proximity_loss().numpy()
      # proximity loss computed for given query instance and feature weights.
      assert pytest.approx(loss2, abs=1e-4) == 0.0068
  
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 3 for calling the TestDiceTensorFlowMethods obj's underlying member method code with example usage: obj.test_proximity_loss() without return types