message: Fix multiline
diff: ## Major Features and Improvements
  * tf.data users can now use `tf.data.experimental.AUTOTUNE` for the num_parallel_calls argument of `tf.data.Dataset.interleave`, `tf.data.Dataset.map`, and `tf.data.experimental.map_and_batch` to dynamically tune the level of parallelism at runtime.
  * Keras models can now be directly exported to the SavedModel format(`tf.contrib.saved_model.save_keras_model()`) and used with Tensorflow Serving.
  -* TensorFlow builds with XLA support by default, does not enable XLA by
  - default, but makes it accessible via default binary builds.
  +* TensorFlow builds with XLA support by default, does not enable XLA by default, but makes it accessible via default binary builds.
  ## Bug Fixes and Other Changes
  