code: def setup_seed(seed):
      torch.manual_seed(seed)
      torch.cuda.manual_seed_all(seed)
      np.random.seed(seed)
      random.seed(seed)
      torch.backends.cudnn.deterministic = True
  
file_path: dgl/examples/pytorch/hilander/PSS/train_subg_inat.py
imports: import argparse, os, pickle, time
  import random
  import sys
  import dgl
  import numpy
  import torch
  import torch.optim
  from dataset import LanderDataset
  from models import LANDER
label_desc: Use image node_id 1 for calling a global function with example usage: setup_seed(seed) without return types