code: def check_compatibility() -> None:
      curr_torch_version = torch.__version__
      if version.parse(curr_torch_version) < version.parse(
          MIN_TORCH_VERSION
      ):
          logger.error(
              "Min. pytorch version required is {}. Got: {}".format(
                  MIN_TORCH_VERSION, curr_torch_version
              )
          )
  
file_path: ml-cvnets/utils/common_utils.py
imports: import os
  import random
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  import torch
  from packaging import version
  from torch import Tensor
  from common import MIN_TORCH_VERSION
  from utils import logger
  from utils.ddp_utils import is_master
label_desc: Use image node_id 2 for calling a global function with example usage: check_compatibility() without return types