code: def test_from_saved_model():
      """displaying stack trace when converting saved model."""
      test_model = TestModule()
      saved_model_path = "/tmp/test.saved_model"
      save_options = tf.saved_model.SaveOptions(save_debug_info=True)
      tf.saved_model.save(
          test_model, saved_model_path, options=save_options
      )
  
      # load the model and convert
      converter = tf.lite.TFLiteConverter.from_saved_model(
          saved_model_path
      )
      converter.convert()
  
file_path: tensorflow-upstream/tensorflow/lite/examples/experimental_new_converter/stack_trace_example.py
imports: import sys
  from absl import app
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: test_from_saved_model() without return types