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_flexgen/benchmark/third_party/transformers/examples/pytorch/text-generation/run_generation.py
imports: import argparse
  import logging
  import numpy
  import torch
  from transformers import CTRLLMHeadModel, CTRLTokenizer, GPT2LMHeadModel, GPT2Tokenizer, OpenAIGPTLMHeadModel, OpenAIGPTTokenizer, TransfoXLLMHeadModel, TransfoXLTokenizer, XLMTokenizer, XLMWithLMHeadModel, XLNetLMHeadModel, XLNetTokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: set_seed(args) without return types