message: Fix TFLiteConverter V1 API Usage in Documentation
diff: @@ -880,15 +880,15 @@ class TFLiteConverterV2(TFLiteFrozenGraphConverterV2):
  ```python
  # Converting a SavedModel to a TensorFlow Lite model.
  - converter = lite.TFLiteConverter.from_saved_model(saved_model_dir)
  + converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
  tflite_model = converter.convert()
  # Converting a tf.Keras model to a TensorFlow Lite model.
  - converter = lite.TFLiteConverter.from_keras_model(model)
  + converter = tf.lite.TFLiteConverter.from_keras_model(model)
  tflite_model = converter.convert()
  # Converting ConcreteFunctions to a TensorFlow Lite model.
  - converter = lite.TFLiteConverter.from_concrete_functions([func])
  + converter = tf.lite.TFLiteConverter.from_concrete_functions([func])
  tflite_model = converter.convert()
  ```
  """
  @@ -1641,23 +1641,24 @@ class TFLiteConverter(TFLiteFrozenGraphConverter):
  ```python
  # Converting a GraphDef from session.
  - converter = lite.TFLiteConverter.from_session(sess, in_tensors, out_tensors)
  + converter = tf.compat.v1.TFLiteConverter.from_session(
  + sess, in_tensors, out_tensors)
  tflite_model = converter.convert()
  open("converted_model.tflite", "wb").write(tflite_model)
  # Converting a GraphDef from file.
  - converter = lite.TFLiteConverter.from_frozen_graph(
  + converter = tf.compat.v1.TFLiteConverter.from_frozen_graph(
  graph_def_file, input_arrays, output_arrays)
  tflite_model = converter.convert()
  open("converted_model.tflite", "wb").write(tflite_model)
  # Converting a SavedModel.
  - converter = lite.TFLiteConverter.from_saved_model(saved_model_dir)
  + converter = tf.compat.v1.TFLiteConverter.from_saved_model(saved_model_dir)
  tflite_model = converter.convert()
  open("converted_model.tflite", "wb").write(tflite_model)
  # Converting a tf.keras model.
  - converter = lite.TFLiteConverter.from_keras_model_file(keras_model)
  + converter = tf.compat.v1.TFLiteConverter.from_keras_model_file(keras_model)
  tflite_model = converter.convert()
  open("converted_model.tflite", "wb").write(tflite_model)
  ```
  