code: def _forward_train(self, *args, **kwargs):
      raise NotImplementedError(
          "This RLM should only run in evaluation."
      )
  
imports: from typing import Mapping, Any
  from ray.rllib.core.rl_module import RLModule
  from ray.rllib.policy.sample_batch import SampleBatch
  import tree
  import pathlib
  import gymnasium
label_desc: Use image node_id 4 for calling the RandomRLModule obj's underlying member method code with example usage: obj._forward_train() without return types