code: def skip_slow(
      op_name: str,
      variant_name: str = "",
      *,
      reason: str,
      opsets: Optional[
          Collection[Union[int, Callable[[int], bool]]]
      ] = None,
      dtypes: Optional[Collection[torch.dtype]] = None,
      matcher: Optional[Callable[[Any], Any]] = None,
      model_type: Optional[pytorch_test_common.TorchModelType] = None,
  ):
      """Skips a test case in OpInfo that is too slow.
  
      It needs further investigation to understand why it is slow.
  
      Args:
          op_name: The name of the operator.
          variant_name: The name of the variant.
          opsets: The opsets to expect the failure. e.g. [9, 10] or [opsets_before(11)]
          dtypes: The dtypes to expect the failure.
          reason: The reason for the failure.
          matcher: A function that matches the test sample input. It is used only when
              skip is in the SKIP_XFAIL_SUBTESTS list.
          model_type: The type of the torch model. Defaults to None.
      """
      return DecorateMeta(
          op_name=op_name,
          variant_name=variant_name,
          decorator=common_utils.slowTest,
          opsets=opsets,
          dtypes=dtypes,
          reason=reason,
          matcher=matcher,
          enabled_if=not common_utils.TEST_WITH_SLOW,
          test_behavior="skip",
          model_type=model_type,
      )
  
imports: from __future__ import annotations
  import contextlib
  import copy
  import dataclasses
  import io
  import logging
  import os
  import unittest
  import warnings
  from typing import Any, Callable, Collection, Iterable, List, Mapping, Optional, Sequence, Tuple, Type, Union
  import numpy
  import onnxruntime
  import pytest
  import pytorch_test_common
  import torch
  from torch import export
  from torch.onnx import _constants, verification
  from torch.onnx._internal import _beartype
  from torch.onnx._internal.fx import diagnostics
  from torch.testing._internal import common_utils
  from torch.testing._internal.opinfo import core
  from torch.types import Number
label_desc: Use image node_id 10 for calling a global function with example usage: skip_slow(op_name, variant_name) and returns: DecorateMeta