message: Update mnist eager example with mirrored strategy as some of the methods it was using are now deprecated.
diff: @@ -26,7 +26,6 @@ import weakref
  import six
  -from tensorflow.contrib.data.python.ops import batching
  from tensorflow.contrib.distribute.python import input_ops
  from tensorflow.contrib.distribute.python import prefetching_ops_v2
  from tensorflow.python.eager import context
  @@ -614,8 +613,7 @@ class PerDeviceDataset(object):
  # TODO(priyag): If dropping remainder is not appropriate, find another
  # approach to distributing the dataset when not possible to divide evenly.
  # Possibly not an issue when we start using PartitionedDataset.
  - self._dataset = dataset.apply(
  - batching.batch_and_drop_remainder(len(devices)))
  + self._dataset = dataset.batch(len(devices), drop_remainder=True)
  def make_one_shot_iterator(self):
  """Get a one time use iterator for the distributed PerDeviceDataset."""
  