message: Remove mention of "batch size" from batch_all_reduce logging messages.
  These log messages were confusing users who interpreted it as input batch size.
diff: @@ -710,8 +710,8 @@ class AllReduceCrossDeviceOps(CrossDeviceOps):
  def _do_batch_all_reduce(self, reduce_op, dense_values):
  """Run batch all-reduces."""
  logging.log_first_n(
  - logging.INFO, "batch_all_reduce invoked for batches size = %d with "
  - "algorithm = %s, num_packs = %d, agg_small_grads_max_bytes = %d and "
  + logging.INFO, "batch_all_reduce: %d all-reduces with algorithm = %s,"
  + "num_packs = %d, agg_small_grads_max_bytes = %d and "
  "agg_small_grads_max_group = %d" %
  (len(dense_values), self._all_reduce_alg, self._num_packs,
  self._agg_small_grads_max_bytes, self._agg_small_grads_max_group), 10)
  @@ -879,8 +879,8 @@ class MultiWorkerAllReduce(AllReduceCrossDeviceOps):
  """All-reduce algorithm in a batch."""
  logging.log_first_n(
  logging.INFO,
  - "distributed batch_all_reduce invoked for batches size = %d with "
  - "allreduce_spec = %r, num_packs = %d, agg_small_grads_max_bytes = %d "
  + "Distributed batch_all_reduce: %d all-reduces with "
  + "allreduce_spec = %r, num_packs = %d, agg_small_grads_max_bytes = %d, "
  "and agg_small_grads_max_group = %d" %
  (len(per_replica_values), self._all_reduce_spec, self._num_packs,
  self._agg_small_grads_max_bytes, self._agg_small_grads_max_group), 10)
  @@ -1025,7 +1025,7 @@ class CollectiveAllReduce(CrossDeviceOps):
  def _batch_all_reduce(self, reduce_op, per_replica_values):
  """All reduce algorithm in a batch."""
  logging.log_first_n(
  - logging.INFO, "Collective All-reduce invoked with batches size = %d, "
  + logging.INFO, "Collective batch_all_reduce: %d all-reduces, "
  "num_workers = %d" % (len(per_replica_values), self._num_workers), 10)
  dense_values, dense_indices, sparse_values, sparse_indices = (
  @@ -1046,7 +1046,7 @@ class CollectiveAllReduce(CrossDeviceOps):
  """All-reduce across all workers in a batch."""
  logging.log_first_n(
  - logging.INFO, "Collective All-reduce invoked with batches size = %d, "
  + logging.INFO, "Collective batch_all_reduce: %d all-reduces, "
  "num_workers = %d" % (len(per_replica_values), self._num_workers), 10)
  chunked_gv = self._make_gradient_chunks(per_replica_values,
  @@ -1077,8 +1077,8 @@ class CollectiveAllReduce(CrossDeviceOps):
  """All-reduce IndexedSlices across all workers in a batch."""
  logging.log_first_n(
  - logging.INFO, "Collective All-reduce for IndexedSlices invoked with "
  - "batches size = %d, num_workers = %d" %
  + logging.INFO, "Collective batch_all_reduce for IndexedSlices: "
  + "%d all-reduces, num_workers = %d" %
  (len(per_replica_values), self._num_workers), 10)
  chunked_gv = self._make_gradient_chunks(per_replica_values,
  