code: def testCreateSlotFromScalarVariable(self):
      # slot_creator is used only in optimizer V1.
      with ops.Graph().as_default(), self.test_session():
          s = variables.Variable(1.0, name="var")
          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, initialized_value(s), name="slot"
              )
  
              self.evaluate(variables.global_variables_initializer())
  
              self.assertEqual("var/part_%d/slot" % i, slot.op.name)
              self.assertEqual([], slot.get_shape().as_list())
              self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
              self.assertAllEqual(1.0, slot)
  
imports: import numpy
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import slot_creator
label_desc: Use image node_id 9 for calling the SlotCreatorTest obj's underlying member method code with example usage: obj.testCreateSlotFromScalarVariable() without return types