code: def obs_preprocessor(self, obs: np.ndarray) -> rlt.FeatureData:
      obs_space = self.observation_space
      if isinstance(obs_space, spaces.Box):
          return rlt.FeatureData(torch.tensor(obs).float().unsqueeze(0))
      else:
          raise NotImplementedError(
              f"{obs_space} obs space not supported for Gym."
          )
  
file_path: ReAgent/reagent/gym/envs/gym.py
imports: import logging
  from typing import Optional, Tuple
  import gym
  import numpy
  import reagent.core.types
  import torch
  from gym import spaces
  from gym_minigrid.wrappers import ReseedWrapper
  from reagent.core.dataclasses import dataclass
  from reagent.gym.envs.env_wrapper import EnvWrapper
  from reagent.gym.envs.wrappers.simple_minigrid import SimpleObsWrapper
label_desc: Use image node_id 2 for calling the Gym obj's underlying member method code with example usage: obj.obs_preprocessor(obs) and returns: rlt