code: def compute_priors_and_value(self, obs):
      obs = convert_to_tensor([self.preprocessor.transform(obs)])
      input_dict = restore_original_dimensions(
          obs, self.obs_space, "torch"
      )
  
      with torch.no_grad():
          model_out = self.forward(input_dict, None, [1])
          logits, _ = model_out
          value = self.value_function()
          logits, value = torch.squeeze(logits), torch.squeeze(value)
          priors = nn.Softmax(dim=-1)(logits)
  
          priors = priors.cpu().numpy()
          value = value.cpu().numpy()
  
          return priors, value
  
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 4 for calling the ActorCriticModel obj's underlying member method code with example usage: obj.compute_priors_and_value(obs) and returns: priors,  value