message: fix //tensorflow/python:slot_creator_test UT fail
diff: @@ -23,7 +23,6 @@ from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  -from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  @@ -136,10 +135,13 @@ class SlotCreatorTest(test.TestCase):
  slot = slot_creator.create_slot(v, v.initialized_value(), name="slot")
  self.assertEqual("scope/scope/var/slot", slot.op.name)
  + @test_util.run_deprecated_v1
  def testCreateSlotFromFirstMDimensionVariable(self):
  with self.test_session():
  s = variables.Variable([1.0, 2.5], name="var")
  - p_v = variable_scope.get_variable("var", shape=[2, 2],
  + p_v = variable_scope.get_variable(
  + "var",
  + shape=[2, 2],
  partitioner=partitioned_variables.fixed_size_partitioner(2))
  for i, v in enumerate(p_v):
  slot = slot_creator.create_slot(v, s.initialized_value(), name="slot")
  @@ -155,10 +157,13 @@ class SlotCreatorTest(test.TestCase):
  self.assertAllEqual([i], si.var_offset)
  self.assertAllEqual([1], si.var_shape)
  + @test_util.run_deprecated_v1
  def testCreateSlotFromScalarVariable(self):
  with self.test_session():
  s = variables.Variable(1.0, name="var")
  - p_v = variable_scope.get_variable("var", shape=[2, 2],
  + p_v = variable_scope.get_variable(
  + "var",
  + shape=[2, 2],
  partitioner=partitioned_variables.fixed_size_partitioner(2))
  for i, v in enumerate(p_v):
  slot = slot_creator.create_slot(v, s.initialized_value(), name="slot")
  