code: def testReadVariableInsideFunction(
      self, distribution, run_functions_eagerly
  ):
      if (
          not run_functions_eagerly
          and config.list_physical_devices("TPU")
          and FLAGS.tpu_use_tfrt
      ):
          self.skipTest(
              "TFRT does not support XlaLocalLaunch, see b/194517185"
          )
  
      def_function.run_functions_eagerly(run_functions_eagerly)
  
      # Get devices on which variables will be placed. Default strategy does not
      # define this, so assume cpu:0 in that case.
      try:
          devices = distribution.extended.parameter_devices
      except RuntimeError:
          devices = ["cpu:0"]
  
      with distribution.scope():
          v = variables.Variable(0.0)
          if isinstance(v, values.DistributedVariable):
              for i in range(len(devices)):
                  # NOTE: Assigning manually to component variables so we can test
                  # different values on different devices. Using .assign on the
                  # mirrored variable itself will lead to a synchronization which
                  # will prohibit testing different values.
                  replica_variable = v._values[i]
                  replica_variable.assign(
                      math_ops.cast(i, dtypes.float32)
                  )
  
      @def_function.function
      def read():
          return v.read_value()
  
      # Verify that the value from each device is read, when in that device
      # scope. Doing this inside strategy scope is needed to force function
      # retracing on each device, otherwise `read()` will only be traced once
      # on the first device and following variable read will always read the value
      # on the first replica.
      with distribution.scope():
          for i, d in enumerate(devices):
              with ops.device(d):
                  self.assertEqual(
                      math_ops.cast(i, dtypes.float32), read()
                  )
  
imports: from absl.testing import parameterized
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.saved_model import save_context
  from tensorflow.python.saved_model import save_options
label_desc: Use image node_id 4 for calling the TFFunctionTest obj's underlying member method code with example usage: obj.testReadVariableInsideFunction(distribution, run_functions_eagerly) and returns: v