class_docstr: Base class that tests mirrored variable creator.
  
  Currently it assumes all strategy objects have two replicas.
code: def testInitializer(self, distribution, mode):
      if mode == "graph":
          self.skipTest("Skip graph mode")
  
      temp_dir = self.get_temp_dir()
  
      class Model(tracking_util.Checkpoint):
          def __init__(self):
              self._v = variables.Variable(1.0)
  
      with distribution.scope():
          m = Model()
      save.save(m, temp_dir)
  
      g = ops.Graph()
      with g.as_default():
          with distribution.scope():
              load.load(temp_dir)
  
          for v in ops.get_collection(ops.GraphKeys.GLOBAL_VARIABLES):
              self.assertIsNotNone(v.initializer)
  
imports: from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.distribute import collective_all_reduce_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import distribute_utils
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import rnn
  from tensorflow.python.ops import rnn_cell_impl
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import save
label_desc: Use image node_id 25 for calling the MirroredVariableCreationTest obj's underlying member method code with example usage: obj.testInitializer(distribution, mode) without return types