code: def test_conversion_tf16(self):
      if __version__[0] == "2" and not tf.executing_eagerly():
          warnings.warn("TF2.0 not in eager mode, cannot test.")
          return
      command = self.default.copy()
      command.extend(["--opt=default", "--type=float16"])
      flags.FLAGS(command)
      self.k2t._main(None)
  
file_path: auptimizer/tests/dlconvert/test_keras_to_tflite.py
imports: import unittest
  from absl import flags
  from os import path, remove, environ
  import json
  import warnings
  import tensorflow
  from six import PY2
  from tensorflow import __version__
label_desc: Use image node_id 2 for calling the KerasToTFLiteTestCase obj's underlying member method code with example usage: obj.test_conversion_tf16() without return types