code: def setUp(self):
      super().setUp()
  
      # Create two instances of the same model.
      self._actor_model = snt.nets.MLP(_MLP_LAYERS)
      self._learner_model = snt.nets.MLP(_MLP_LAYERS)
  
      # Create variables first.
      input_spec = tf.TensorSpec(shape=(_INPUT_SIZE,), dtype=tf.float32)
      tf2_utils.create_variables(self._actor_model, [input_spec])
      tf2_utils.create_variables(self._learner_model, [input_spec])
  
file_path: acme/acme/tf/variable_utils_test.py
imports: import threading
  from acme.testing import fakes
  from acme.tf import utils
  from acme.tf import variable_utils
  import sonnet
  import tensorflow
label_desc: Use image node_id 1 for calling the VariableClientTest obj's underlying member method code with example usage: obj.setUp() without return types