code: def opsToleranceOverride(test_case_name, base_test_name, overrides):
      all_opinfos = op_db + additional_op_db
      for override in overrides:
          op_name, variant_name, override, device_type = override
          matching_opinfos = [
              o
              for o in all_opinfos
              if o.name == op_name
              and o.variant_test_name == variant_name
          ]
          assert (
              len(matching_opinfos) == 1
          ), f"Couldn't find OpInfo for {override}"
          opinfo = matching_opinfos[0]
          decorators = list(opinfo.decorators)
          decorators.append(
              DecorateInfo(
                  toleranceOverride(override),
                  test_case_name,
                  base_test_name,
                  device_type=device_type,
              )
          )
          opinfo.decorators = tuple(decorators)
  
      # This decorator doesn't modify fn in any way
      def wrapped(fn):
          return fn
  
      return wrapped
  
imports: import itertools
  import torch
  from functorch import vmap
  import torch.utils._pytree
  from functorch_additional_op_db import additional_op_db
  from torch.testing._internal.common_methods_invocations import DecorateInfo
  from torch.testing._internal.common_methods_invocations import op_db
  from torch.testing._internal.common_modules import module_db
  import os
  import unittest
  from torch.testing._internal.common_device_type import toleranceOverride
  from torch.testing._internal.autograd_function_db import autograd_function_db
  from collections import namedtuple
label_desc: Use image node_id 24 for calling a global function with example usage: opsToleranceOverride(test_case_name, base_test_name, overrides) and returns: wrapped, fn