code: def init_process_group(world_size, rank):
      dist.init_process_group(
          backend="gloo",  # change to 'nccl' for multiple GPUs
          init_method="tcp://127.0.0.1:12345",
          world_size=world_size,
          rank=rank,
      )
  
imports: import os
  import torch.distributed
  from dgl.data import split_dataset
  from dgl.dataloading import GraphDataLoader
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GINConv, SumPooling
  import torch
  from torch.nn.parallel import DistributedDataParallel
  from torch.optim import Adam
  import torch.multiprocessing
  from dgl.data import GINDataset
label_desc: Use image node_id 1 for calling a global function with example usage: init_process_group(world_size, rank) without return types