code: def initialize_api(self):
      super().initialize_api()
  
      if "graph" in self.summaries:
          tf.summary.trace_on(graph=True, profiler=False)
      self.experience(
          states=self.states_spec,
          internals=self.internals_spec,
          auxiliaries=self.auxiliaries_spec,
          actions=self.actions_spec,
          terminal=self.terminal_spec,
          reward=self.reward_spec,
          _initialize=True,
      )
      if "graph" in self.summaries:
          tf.summary.trace_export(
              name="experience",
              step=self.timesteps,
              profiler_outdir=None,
          )
          tf.summary.trace_on(graph=True, profiler=False)
      self.update(_initialize=True)
      if "graph" in self.summaries:
          tf.summary.trace_export(
              name="update", step=self.timesteps, profiler_outdir=None
          )
  
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 5 for calling the TensorforceModel obj's underlying member method code with example usage: obj.initialize_api() without return types