code: def forward(self, input_dict, state, seq_lens):
      x = input_dict["obs"]
      x = self.shared_layers(x)
      # actor outputs
      logits = self.actor_layers(x)
  
      # compute value
      self._value_out = self.critic_layers(x)
      return logits, 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 2 for calling the ActorCriticModel obj's underlying member method code with example usage: obj.forward(input_dict, state, seq_lens) and returns: logits,  None