code: def get_value(self, inputs, states, masks):
      value, _, _ = self.base(inputs, states, masks)
      return value
  
file_path: SerpentAI/serpent/machine_learning/reinforcement_learning/ppo/policy.py
imports: import torch
  from .cnn_base import CNNBase
  from .distributions import Categorical
label_desc: Use image node_id 4 for calling the Policy obj's underlying member method code with example usage: obj.get_value(inputs, states, masks) and returns: value