code: def testRead(self, strategy, enable_packed_handle, tf_function):
      v = self.create_variable(strategy, 0.0, enable_packed_handle)
  
      with ops.device(strategy.extended.parameter_devices[0]):
          v.assign(1.0)
      with ops.device(strategy.extended.parameter_devices[1]):
          v.assign(2.0)
  
      @tf_function
      def read_device0():
          with ops.device(strategy.extended.parameter_devices[0]):
              return v.read_value(), v.value()
  
      @tf_function
      def read_device1():
          with ops.device(strategy.extended.parameter_devices[1]):
              return v.read_value(), v.value()
  
      @tf_function
      def read_other_device():
          with ops.device("CPU:0"):
              return v.read_value(), v.value()
  
      self.assertAllEqual(read_device0(), [1.0, 1.0])
      self.assertAllEqual(read_device1(), [2.0, 2.0])
      self.assertAllEqual(read_other_device(), [1.0, 1.0])
  
imports: from absl.testing import parameterized
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import values_v2
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
label_desc: Use image node_id 3 for calling the DistributedVariableTest obj's underlying member method code with example usage: obj.testRead(strategy, enable_packed_handle, tf_function) and returns: v,  v, v,  v, v,  v