code: def get_log_prob(self):
      add_node_log_p = torch.cat(self.add_node_agent.log_prob).sum()
      add_edge_log_p = torch.cat(self.add_edge_agent.log_prob).sum()
      choose_dest_log_p = torch.cat(
          self.choose_dest_agent.log_prob
      ).sum()
      return add_node_log_p + add_edge_log_p + choose_dest_log_p
  
imports: import os
  import dgl
  import torch.nn
  import torch
  from functools import partial
  import torch.nn.functional
  from torch.distributions import Bernoulli
  from torch.distributions import Categorical
  import torch.utils.model_zoo
label_desc: Use image node_id 7 for calling the DGMG obj's underlying member method code with example usage: obj.get_log_prob() and returns: unknown