code: def get_initial_state(self) -> Union[dict, List[TensorType]]:
      if hasattr(self.encoder, "get_initial_state"):
          return self.encoder.get_initial_state()
      else:
          return {}
  
imports: import abc
  from typing import Any, Dict, List, Type, Union
  from ray.rllib.core.models.base import ENCODER_OUT, STATE_OUT
  from ray.rllib.core.models.specs.typing import SpecType
  from ray.rllib.core.rl_module.rl_module import RLModule
  from ray.rllib.models.distributions import Distribution
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.annotations import ExperimentalAPI, override
  from ray.rllib.utils.nested_dict import NestedDict
  from ray.rllib.utils.typing import TensorType
label_desc: Use image node_id 5 for calling the BCRLModule obj's underlying member method code with example usage: obj.get_initial_state() and returns: self, dict