code: def evaluate_last_func_if_graph_mode(self):
      if not tf.executing_eagerly():
          # Latest op in graph is the call op for fn so evaluate it.
          self.evaluate(
              tf.compat.v1.get_default_graph().get_operations()[-1]
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the TFUniformReplayBufferTest obj's underlying member method code with example usage: obj.evaluate_last_func_if_graph_mode() without return types