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_helm.py
imports: import argparse
  import logging
  import numpy
  import torch
  import json
  import tqdm
  import copy
  from transformers import CTRLLMHeadModel, CTRLTokenizer, GPT2LMHeadModel, GPT2Tokenizer, OpenAIGPTLMHeadModel, OpenAIGPTTokenizer, TransfoXLLMHeadModel, TransfoXLTokenizer, XLMTokenizer, XLMWithLMHeadModel, XLNetLMHeadModel, XLNetTokenizer
  from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig
  from utils_hh.modify_llama import convert_kvcache_llama_heavy_recent, LlamaAttention_heavy_hitter
  from utils_hh.modify_gptneox import convert_kvcache_gpt_neox_heavy_recent, GPTNeoXAttention_Mask
  from utils_hh.modify_opt import convert_kvcache_opt_heavy_recent, OPTAttention_Mask
label_desc: Use image node_id 1 for calling a global function with example usage: set_seed(args) without return types