code: def divide_by_n_proc(x: int):
      """
      Divide the input by the world size.
  
      Args:
          x: Input to divide.
      Returns:
          Quotient of input and world size.
      """
      quotient, remainder = divmod(x, dist.get_world_size())
      if remainder:
          raise ValueError(
              f"{x} is not divisible by the number of processes {dist.get_world_size()}."
          )
      return quotient
  
imports: import copy
  import hashlib
  from pathlib import Path
  from typing import List, Set, Union
  import numpy
  import plotly.graph_objs
  import torch
  import torch.distributed
  import wandb
  from hydra.core.hydra_config import HydraConfig
  from hydra.utils import instantiate, to_absolute_path
  from improved_diffusion import dist_util
  from improved_diffusion import gaussian_diffusion
  from improved_diffusion import logger, respace, train_util
  from omegaconf import DictConfig, OmegaConf
label_desc: Use image node_id 1 for calling a global function with example usage: divide_by_n_proc(x) and returns: quotient