code: def update(self):
      # Core update
      updated = self.core_update()
  
      with tf.control_dependencies(control_inputs=(updated,)):
          return tf_util.identity(input=self.updates)
  
imports: import logging
  import tensorflow
  from tensorforce import TensorforceError
  from tensorforce.core import ModuleDict, memory_modules, optimizer_modules, parameter_modules, SignatureDict, TensorDict, TensorSpec, TensorsSpec, tf_function, tf_util, VariableDict
  from tensorforce.core.models import Model
  from tensorforce.core.networks import Preprocessor
  from tensorforce.core.objectives import objective_modules
  from tensorforce.core.policies import policy_modules, StochasticPolicy
label_desc: Use image node_id 11 for calling the TensorforceModel obj's underlying member method code with example usage: obj.update() and returns: tf_util