code: def setup_seed(seed):
      torch.manual_seed(seed)
      torch.cuda.manual_seed_all(seed)
      torch.backends.cudnn.deterministic = True
      np.random.seed(seed)
      random.seed(seed)
  
file_path: AutoGL/test/performance/link_prediction/dgl/trainer.py
imports: from tqdm import tqdm
  from autogl.module.train.evaluation import Auc
  import random
  import torch
  import numpy
  import dgl
  import torch
  import numpy
  import scipy.sparse
  from helper import get_encoder_decoder_hp
  from dgl.data import CoraGraphDataset, PubmedGraphDataset, CiteseerGraphDataset
  from autogl.module.train.link_prediction_full import LinkPredictionTrainer
label_desc: Use image node_id 1 for calling a global function with example usage: setup_seed(seed) without return types