message: Marked create_partitioned_variables as
  It has been deprecated for a while, but did not include a relevant note
  in the docs.
diff: @@ -57,7 +57,7 @@ import math
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import variable_scope
  -from tensorflow.python.platform import tf_logging as logging
  +from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
  __all__ = [
  @@ -238,6 +238,9 @@ def fixed_size_partitioner(num_shards, axis=0):
  @tf_export("create_partitioned_variables")
  +@deprecation.deprecated(
  + date=None,
  + instructions="Use tf.get_variable with a partitioner set.")
  def create_partitioned_variables(
  shape, slicing, initializer, dtype=dtypes.float32,
  trainable=True, collections=None, name=None, reuse=None):
  @@ -282,11 +285,6 @@ def create_partitioned_variables(
  Raises:
  ValueError: If any of the arguments is malformed.
  """
  - logging.warn(
  - "create_partitioned_variables is deprecated. Use "
  - "tf.get_variable with a partitioner set, or "
  - "tf.get_partitioned_variable_list, instead.")
  -
  if len(shape) != len(slicing):
  raise ValueError("The 'shape' and 'slicing' of a partitioned Variable "
  "must have the length: shape: %s, slicing: %s" %
  