code: def __init__(self, opt=None):
      super(Geo, self).__init__()
      self.opt = opt
  
      seed = self.opt["seed"]
      random.seed(seed)
      np.random.seed(seed)
      torch.manual_seed(seed)
  
      if self.opt["gpuid"] == -1:
          self.device = torch.device("cpu")
      else:
          self.device = torch.device(
              "cuda:{}".format(self.opt["gpuid"])
          )
  
      self.use_copy = self.opt["decoder_args"]["rnn_decoder_share"][
          "use_copy"
      ]
      self.use_share_vocab = self.opt["graph_construction_args"][
          "graph_construction_share"
      ]["share_vocab"]
      self.data_dir = self.opt["graph_construction_args"][
          "graph_construction_share"
      ]["root_dir"]
  
      self._build_dataloader()
      self._build_model()
      self._build_optimizer()
  
imports: import copy
  import random
  import time
  import warnings
  import numpy
  import torch
  import torch.optim
  from torch.utils.data import DataLoader
  from tqdm import tqdm
  from graph4nlp.pytorch.datasets.geo import GeoDatasetForTree
  from graph4nlp.pytorch.models.graph2tree import Graph2Tree
  from graph4nlp.pytorch.modules.utils.tree_utils import Tree
label_desc: Use image node_id 1 to create a new Geo object  with example: obj = Geo(opt)