code: def should_distribute():
      return dist.is_available() and WORLD_SIZE > 1
  
imports: import torch
  import argparse
  import os
  import logging
  import time
  from torch import nn
  from datasets import load_dataset
  from torch.utils.data import DataLoader
  from torch.utils.data.distributed import DistributedSampler
  import torch.distributed
  from transformers import BertTokenizer, BertModel, AdamW
  import intel_extension_for_pytorch
label_desc: Use image node_id 1 for calling a global function with example usage: should_distribute() and returns: unknown