code: def is_distributed():
      return dist.is_available() and dist.is_initialized()
  
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 2 for calling a global function with example usage: is_distributed() and returns: unknown