code: def load(self, verbose=True):
      if self.name in __class__._loaded_ops:
          return __class__._loaded_ops[self.name]
  
      from deepspeed.git_version_info import installed_ops, torch_info
  
      if installed_ops.get(self.name, False):
          # Ensure the op we're about to load was compiled with the same
          # torch/cuda versions we are currently using at runtime.
          self.validate_torch_version(torch_info)
          if torch.cuda.is_available() and isinstance(
              self, CUDAOpBuilder
          ):
              self.validate_torch_op_version(torch_info)
  
          op_module = importlib.import_module(self.absolute_name())
          __class__._loaded_ops[self.name] = op_module
          return op_module
      else:
          return self.jit_load(verbose)
  
imports: import os
  import sys
  import time
  import importlib
  from pathlib import Path
  import subprocess
  import shlex
  import shutil
  import tempfile
  import distutils.ccompiler
  import distutils.log
  import distutils.sysconfig
  from distutils.errors import CompileError, LinkError
  from abc import ABC, abstractmethod
  from typing import List
label_desc: Use image node_id 24 for calling the OpBuilder obj's underlying member method code with example usage: obj.load(verbose) and returns: __class__, op_module, self