code: def __init__(
      self, obs_space, action_space, num_outputs, model_config, name
  ):
      TorchModelV2.__init__(
          self, obs_space, action_space, num_outputs, model_config, name
      )
      nn.Module.__init__(self)
  
      self.preprocessor = get_preprocessor(obs_space.original_space)(
          obs_space.original_space
      )
  
      self.shared_layers = None
      self.actor_layers = None
      self.critic_layers = None
  
      self._value_out = None
  
imports: from abc import ABC
  import numpy
  from ray.rllib.models.modelv2 import restore_original_dimensions
  from ray.rllib.models.preprocessors import get_preprocessor
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.utils.framework import try_import_torch
label_desc: Use image node_id 1 to create a new ActorCriticModel object from inherited base classes: TorchModelV2, nn, ABC with example: obj = ActorCriticModel(obs_space, action_space, num_outputs, model_config, name)