code: def set_seed(seed: int):
      """Set the seed for all random generators used in training.
  
      Use this method to guarantee reproducibility of experiments.
  
      Args:
          seed: any value you want
  
      """
      hf_set_seed(seed)
  
file_path: flair/flair/__init__.py
imports: import logging.config
  import os
  from pathlib import Path
  import torch
  from transformers import set_seed
  from .file_utils import set_proxies
  from .None import data, models, nn, trainers, visual
label_desc: Use image node_id 1 for calling a global function with example usage: set_seed(seed) without return types