code: def reduce_tensor(tensor):
      rt = tensor.clone()
      dist.all_reduce(rt, op=dist.reduce_op.SUM)
      rt /= args.world_size
      return rt
  
imports: import argparse
  import os
  import shutil
  import time
  import torch
  import torch.nn
  import torch.nn.parallel
  import torch.backends.cudnn
  import torch.distributed
  import torch.optim
  import torch.utils.data
  import torch.utils.data.distributed
  import torchvision.transforms
  import torchvision.datasets
  import torchvision.models
  import numpy
label_desc: Use image node_id 9 for calling a global function with example usage: reduce_tensor(tensor) and returns: rt