class_docstr: Base class that tests mirrored variable creator.
  
  Currently it assumes all strategy objects have two replicas.
code: def testVariableWithSameCanonicalNameAcrossThreads(
      self, distribution
  ):
      def model_fn():
          replica_id = self.evaluate(_replica_id())
          v = variable_v1.VariableV1(1.0, name="foo_" + str(replica_id))
          distribute_lib.get_replica_context().merge_call(lambda _: _)
          return v
  
      with distribution.scope():
          result = distribution.extended.call_for_each_replica(model_fn)
          self.assertTrue(distribute_utils.is_mirrored(result))
          # The resulting mirrored variable will use the name from the first device.
          self.assertEqual("foo_0:0", result.name)
  
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 11 for calling the MirroredVariableCreationTest obj's underlying member method code with example usage: obj.testVariableWithSameCanonicalNameAcrossThreads(distribution) and returns: v