message: Fix broken link. Update the module description.
diff: # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  -"""Conversion of plain Python into TensorFlow graph code.
  +"""Conversion of eager-style Python into TensorFlow graph code.
  NOTE: In TensorFlow 2.0, AutoGraph is automatically applied when using
  `tf.function`. This module contains lower-level APIs for advanced use.
  -For more information, see the
  -[AutoGraph guide](https://www.tensorflow.org/guide/autograph).
  +AutoGraph transforms a subset of Python which operates on TensorFlow objects
  +into equivalent TensorFlow graph code. When executing the graph, it has the same
  +effect as if you ran the original code in eager mode.
  +Python code which doesn't operate on TensorFlow objects remains functionally
  +unchanged, but keep in mind that `tf.function` only executes such code at trace
  +time, and generally will not be consistent with eager execution.
  -By equivalent graph code we mean code that generates a TensorFlow graph when
  -run. The generated graph has the same effects as the original code when executed
  -(for example with `tf.function` or `tf.compat.v1.Session.run`). In other words,
  -using AutoGraph can be thought of as running Python in TensorFlow.
  +For more information, see the
  +[AutoGraph reference documentation](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/autograph/g3doc/reference/index.md),
  +and the [tf.function guide](https://www.tensorflow.org/guide/function#autograph_transformations).
  """
  -# TODO(b/119833526): Link to the new tf.function + autograph tutorial.
  from __future__ import absolute_import
  from __future__ import division
  