code: def version_dependent_macros(self):
      # Fix from apex that might be relevant for us as well, related to https://github.com/NVIDIA/apex/issues/456
      TORCH_MAJOR = int(torch.__version__.split(".")[0])
      TORCH_MINOR = int(torch.__version__.split(".")[1])
      version_ge_1_1 = []
      if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 0):
          version_ge_1_1 = ["-DVERSION_GE_1_1"]
      version_ge_1_3 = []
      if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 2):
          version_ge_1_3 = ["-DVERSION_GE_1_3"]
      version_ge_1_5 = []
      if (TORCH_MAJOR > 1) or (TORCH_MAJOR == 1 and TORCH_MINOR > 4):
          version_ge_1_5 = ["-DVERSION_GE_1_5"]
      return version_ge_1_1 + version_ge_1_3 + version_ge_1_5
  
imports: import os
  import time
  import torch
  import importlib
  from pathlib import Path
  import subprocess
  from abc import ABC, abstractmethod
label_desc: Use image node_id 2 for calling the CUDAOpBuilder obj's underlying member method code with example usage: obj.version_dependent_macros() and returns: unknown