code: def _forward_inference(self, batch, **kwargs):
      return self._random_forward(batch, **kwargs)
  
file_path: ray/python/ray/rllib/examples/rl_module/random_rl_module.py
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 2 for calling the RandomRLModule obj's underlying member method code with example usage: obj._forward_inference(batch) and returns: self