code: def test_read_mirrored_variable(self, strategy):
      class Model(tf.Module):
          def __init__(self):
              self.v = tf.Variable(
                  0.0,
                  synchronization=tf.VariableSynchronization.ON_WRITE,
              )
  
          @tf.function(input_signature=[])
          def __call__(self):
              return self.v.read_value()
  
      export_dir = self.get_temp_dir()
      with strategy.scope():
          m = Model()
          m.v.assign(1.0)
          tf.saved_model.save(m, export_dir)
  
      with strategy.scope():
          loaded = tf.saved_model.load(export_dir)
      self.assertAllEqual(
          self.evaluate(
              strategy.experimental_local_results(strategy.run(loaded))
          ),
          [1.0, 1.0],
      )
  
imports: import os
  from absl.testing import parameterized
  import tensorflow
  import tensorflow.compat.v1
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import parameter_server_strategy_v2
  from tensorflow.python.distribute import sharded_variable
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.ops import lookup_ops
label_desc: Use image node_id 3 for calling the SaveAndLoadForTrainingTest obj's underlying member method code with example usage: obj.test_read_mirrored_variable(strategy) and returns: self