code: def set_seed(args):
      np.random.seed(args.seed)
      torch.manual_seed(args.seed)
      if args.n_gpu > 0:
          torch.cuda.manual_seed_all(args.seed)
  
file_path: H2O/h2o_hf/run_summarization.py
imports: import argparse
  import json
  import os.path
  import tqdm
  import torch
  import copy
  from copy import deepcopy
  import dataclasses
  from xopen import xopen
  import math
  import matplotlib.pyplot
  from rouge import Rouge
  import logging
  import numpy
  from lost_in_the_middle.prompting import Document, get_closedbook_qa_prompt, get_qa_prompt, get_qa_prompt_index
  from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig
  from transformers.models.llama.configuration_llama import LlamaConfig
  from utils_real_drop.modify_llama import H2OLlamaForCausalLM, H2OLlamaAttention
label_desc: Use image node_id 1 for calling a global function with example usage: set_seed(args) without return types