message: Fallback to RefVariable for Kmeans.
diff: @@ -288,29 +288,34 @@ class KMeans(object):
  """
  init_value = array_ops.constant([], dtype=dtypes.float32)
  cluster_centers = variable_scope.variable(
  - init_value, name=CLUSTERS_VAR_NAME, validate_shape=False)
  + init_value, name=CLUSTERS_VAR_NAME, validate_shape=False,
  + use_resource=False)
  cluster_centers_initialized = variable_scope.variable(
  - False, dtype=dtypes.bool, name='initialized')
  + False, dtype=dtypes.bool, name='initialized', use_resource=False)
  if self._use_mini_batch and self._mini_batch_steps_per_iteration > 1:
  # Copy of cluster centers actively updated each step according to
  # mini-batch update rule.
  cluster_centers_updated = variable_scope.variable(
  - init_value, name='clusters_updated', validate_shape=False)
  + init_value, name='clusters_updated', validate_shape=False,
  + use_resource=False)
  # How many steps till we copy the updated clusters to cluster_centers.
  update_in_steps = variable_scope.variable(
  self._mini_batch_steps_per_iteration,
  dtype=dtypes.int64,
  - name='update_in_steps')
  + name='update_in_steps',
  + use_resource=False)
  # Count of points assigned to cluster_centers_updated.
  cluster_counts = variable_scope.variable(
  - array_ops.zeros([num_clusters], dtype=dtypes.int64))
  + array_ops.zeros([num_clusters], dtype=dtypes.int64),
  + use_resource=False)
  else:
  cluster_centers_updated = cluster_centers
  update_in_steps = None
  cluster_counts = (
  - variable_scope.variable(
  - array_ops.ones([num_clusters], dtype=dtypes.int64))
  + variable_scope.variable( # pylint:disable=g-long-ternary
  + array_ops.ones([num_clusters], dtype=dtypes.int64),
  + use_resource=False)
  if self._use_mini_batch else None)
  return (cluster_centers, cluster_centers_initialized, cluster_counts,
  cluster_centers_updated, update_in_steps)
  