message: Add documentation to sloppy_interleave function
diff: @@ -102,6 +102,17 @@ def sloppy_interleave(map_func, cycle_length, block_length=1):
  strictly obeys), producing an element from a different underlying
  dataset instead.
  + Example usage:
  +
  + ```python
  + # Preprocess 4 files concurrently.
  + filenames = tf.data.Dataset.list_files("/path/to/data/train*.tfrecords")
  + dataset = filenames.apply(
  + tf.contrib.data.sloppy_interleave(
  + lambda filename: tf.data.TFRecordDataset(filename),
  + cycle_length=4))
  + ```
  +
  WARNING: The order of elements in the resulting dataset is not
  deterministic. Use `Dataset.interleave()` if you want the elements to have a
  deterministic order.
  