code: def get_log_prob(self):
      return (
          torch.cat(self.add_node_agent.log_prob).sum()
          + torch.cat(self.add_edge_agent.log_prob).sum()
          + torch.cat(self.choose_dest_agent.log_prob).sum()
      )
  
imports: from functools import partial
  import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.distributions import Bernoulli, Categorical
label_desc: Use image node_id 8 for calling the DGMG obj's underlying member method code with example usage: obj.get_log_prob() and returns: unknown