code: def _get_critic_input_dim(self):
      input_shape = self.state_shape  # state: 48 in 3m map
      input_shape += self.obs_shape  # obs: 30 in 3m map
      input_shape += self.n_agents  # agent_id: 3 in 3m map
      input_shape += (
          self.n_actions * self.n_agents * 2
      )  # all agents' action and last_action (one-hot): 54 in 3m map
      return input_shape
  
imports: import torch.nn
  import torch.nn.functional
  import numpy
  import parl
label_desc: Use image node_id 7 for calling the ComaModel obj's underlying member method code with example usage: obj._get_critic_input_dim() and returns: input_shape