code: def sync_model(model):
      size = float(dist.get_world_size())
      for param in model.parameters():
          dist.all_reduce(param.data, op=dist.ReduceOp.SUM)
          param.data /= size
  
imports: import os
  import tempfile
  import torch
  import torch.distributed
  import torch.nn
  import torch.optim
  import torch.multiprocessing
  import sys
  from torch.nn.parallel import DistributedDataParallel
  import torchbearer
  import platform
  from torchvision import datasets, transforms
  import argparse
label_desc: Use image node_id 3 for calling a global function with example usage: sync_model(model) without return types