code: def set_deterministic():
      """Switch pytorch into a deterministic computation mode."""
      torch.backends.cudnn.deterministic = True
      torch.backends.cudnn.benchmark = False
      torch.use_deterministic_algorithms(True)
      os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8"
  
imports: import socket
  import sys
  import os
  import csv
  import yaml
  import psutil
  import pynvml
  import multiprocess
  import collections
  import torch
  import torch._inductor.config
  import transformers
  import json
  import random
  import numpy
  import time
  import datetime
  import tempfile
  from .data.utils import checksum_config
  import logging
  import hydra
  from omegaconf import OmegaConf, open_dict
label_desc: Use image node_id 9 for calling a global function with example usage: set_deterministic() without return types