code: def get_savedmodel_trackables(self):
      trackables = super().get_savedmodel_trackables()
      for (
          name,
          trackable,
      ) in self.policy.get_savedmodel_trackables().items():
          assert name not in trackables
          trackables[name] = trackable
      if (
          self.separate_baseline
          and len(self.internals_spec["baseline"]) > 0
      ):
          for (
              name,
              trackable,
          ) in self.baseline.get_savedmodel_trackables().items():
              assert name not in trackables
              trackables[name] = trackable
      return trackables
  
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 6 for calling the TensorforceModel obj's underlying member method code with example usage: obj.get_savedmodel_trackables() and returns: trackables