code: def testAssign(self, strategy, enable_packed_handle, tf_function):
      v = self.create_variable(strategy, 0.0, enable_packed_handle)
  
      @tf_function
      def update_device0():
          with ops.device(strategy.extended.parameter_devices[0]):
              v.assign(1.0)
  
      @tf_function
      def update_device1():
          with ops.device(strategy.extended.parameter_devices[1]):
              v.assign(2.0)
  
      update_device0()
      update_device1()
      self.assertReplica(v, [1.0, 2.0])
  
      with ops.device("CPU:0"):
          # Update the primary replica.
          v.assign(3.0)
          self.assertReplica(v, [3.0, 2.0])
  
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 4 for calling the DistributedVariableTest obj's underlying member method code with example usage: obj.testAssign(strategy, enable_packed_handle, tf_function) without return types