message: Update sync_replica_optimizer docstring to add a deprecation message.
diff: @@ -44,6 +44,9 @@ from tensorflow.python.util.tf_export import tf_export
  class SyncReplicasOptimizer(optimizer.Optimizer):
  """Class to synchronize, aggregate gradients and pass them to the optimizer.
  + This class is deprecated. For synchrononous training, please use [Distribution
  + Strategies](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/distribute).
  +
  In a typical asynchronous training environment, it's common to have some
  stale gradients. For example, with a N-replica asynchronous training,
  gradients will be applied to the variables N times independently. Depending
  @@ -142,9 +145,9 @@ class SyncReplicasOptimizer(optimizer.Optimizer):
  @deprecation.deprecated(
  None,
  - "The `SyncReplicaOptimizer` is deprecated. For synchrononous training, "
  - "please use [Distribution Strategies](https://github.com/tensorflow/"
  - "tensorflow/tree/master/tensorflow/contrib/distribute).",
  + "The `SyncReplicaOptimizer` class is deprecated. For synchrononous "
  + "training, please use [Distribution Strategies](https://github.com/"
  + "tensorflow/tensorflow/tree/master/tensorflow/contrib/distribute).",
  warn_once=True)
  def __init__(self,
  opt,
  