code: def pretty_number(n):
      if n >= 1e6:
          return f"{n / 1e6: .2f}M"
      elif n >= 1e3:
          return f"{n / 1e3: .2f}K"
      else:
          return str(n)
  
file_path: opacus/examples/vision_benchmark.py
imports: import argparse
  import time
  import numpy
  import torch
  import torch.nn
  import torch.optim
  import torch.utils.data
  import torch.utils.data.distributed
  from opacus import PrivacyEngine
  from opacus.distributed import DifferentiallyPrivateDistributedDataParallel
  from torch.nn.parallel import DistributedDataParallel
  from torch.utils.data import TensorDataset
  from torchvision import models
  from tqdm import tqdm
label_desc: Use image node_id 1 for calling a global function with example usage: pretty_number(n) and returns: unknown, str, unknown, str, str