code: def tearDown(self):
      super(KerasModelToEstimatorTest, self).tearDown()
      if tf.io.gfile.exists(self._data_file):
          tf.io.gfile.remove(self._data_file)
      self._data_file = None
  
imports: import os
  from absl.testing import parameterized
  import tensorflow
  from tensorflow import estimator
  from tensorflow.compat.v1 import estimator
  from google.protobuf import text_format
  from tensorflow_ranking.python import data
  from tensorflow_ranking.python.keras import estimator
  from tensorflow_ranking.python.keras import losses
  from tensorflow_ranking.python.keras import metrics
  from tensorflow_ranking.python.keras import model
  from tensorflow_ranking.python.keras import network
  from tensorflow_serving.apis import input_pb2
label_desc: Use image node_id 2 for calling the KerasModelToEstimatorTest obj's underlying member method code with example usage: obj.tearDown() without return types