message: Fix TFLiteConverter example in python docs.
diff: @@ -177,7 +177,7 @@ If any of the changes raise concerns, please file a
  `TFLiteConverter` in 2.0 supports SavedModels and Keras model files generated in
  both 1.X and 2.0. However, the conversion process no longer supports frozen
  `GraphDefs` generated in 1.X. Users who want to convert frozen `GraphDefs` to
  -TensorFlow Lite should use `tf.compat.v1.TFLiteConverter`.
  +TensorFlow Lite should use `tf.compat.v1.lite.TFLiteConverter`.
  ### Quantization-aware training
  @@ -200,7 +200,7 @@ API is being reworked and streamlined in a direction that supports
  quantization-aware training through the Keras API. These attributes will be
  removed in the 2.0 API until the new quantization API is launched. Users who
  want to convert models generated by the rewriter function can use
  -`tf.compat.v1.TFLiteConverter`.
  +`tf.compat.v1.lite.TFLiteConverter`.
  ### Changes to `TFLiteConverter` attributes
  