code: def should_distribute():
      return dist.is_available() and WORLD_SIZE > 1
  
imports: from __future__ import print_function
  import argparse
  import logging
  import os
  import time
  from torchvision import datasets, transforms
  from torch.utils.data.distributed import DistributedSampler
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torch.optim
label_desc: Use image node_id 3 for calling a global function with example usage: should_distribute() and returns: unknown