code: def set_seed(seed, deterministic=True):
      random.seed(seed)
      os.environ["PYTHONHASHSEED"] = str(seed)
      torch.manual_seed(seed)
      if torch.cuda.is_available():
          torch.cuda.manual_seed(seed)
          torch.backends.cudnn.deterministic = deterministic
          torch.backends.cudnn.benchmark = True
  
imports: import argparse
  import json
  import os
  from pathlib import Path
  import random
  from time import time
  import torch
  from transformers import GPT2TokenizerFast
  from jaxformer.hf.codegen.modeling_codegen import CodeGenForCausalLM
label_desc: Use image node_id 2 for calling a global function with example usage: set_seed(seed, deterministic) without return types