message: TFE: Improve spinn/README.md
diff: @@ -19,14 +19,26 @@ Other eager execution examples can be found under [tensorflow/contrib/eager/pyth
  ## Content
  -Python source file(s):
  -- `spinn.py`: Model definition and training routines written with TensorFlow
  - eager execution idioms.
  +- [`data.py`](../../../../tensorflow/contrib/eager/python/examples/spinn/data.py): Pipeline for loading and preprocessing the
  + [SNLI](https://nlp.stanford.edu/projects/snli/) data and
  + [GloVe](https://nlp.stanford.edu/projects/glove/) word embedding, written
  + using the [`tf.data`](https://www.tensorflow.org/programmers_guide/datasets)
  + API.
  +- [`spinn.py`](./spinn.py): Model definition and training routines.
  + This example illustrates how one might perform the following actions with
  + eager execution enabled:
  + * defining a model consisting of a dynamic computation graph,
  + * assigning operations to the CPU or GPU dependending on device availability,
  + * training the model using the data from the `tf.data`-based pipeline,
  + * obtaining metrics such as mean accuracy during training,
  + * saving and loading checkpoints,
  + * writing summaries for monitoring and visualization in TensorBoard.
  ## To run
  -- Make sure you have installed the latest `tf-nightly` or `tf-nightly-gpu` pip
  - package of TensorFlow in order to access the eager execution feature.
  +- Make sure you have installed TensorFlow release 1.5 or higher. Alternatively,
  + you can use the latest `tf-nightly` or `tf-nightly-gpu` pip
  + package to access the eager execution feature.
  - Download and extract the raw SNLI data and GloVe embedding vectors.
  For example:
  