code: def _raise_type_error(x):
      raise TypeError(
          f"x is type={type(x)} but must be one of TorchOutlierDetectorOutput or a torch Tensor"
      )
  
imports: from typing import List, Union, Optional, Dict
  from dataclasses import dataclass, fields
  from abc import ABC, abstractmethod
  import numpy
  import torch
  from alibi_detect.od.pytorch.ensemble import FitMixinTorch
  from alibi_detect.utils.pytorch.misc import get_device
  from alibi_detect.exceptions import ThresholdNotInferredError
  from alibi_detect.utils._types import TorchDeviceType
label_desc: Use image node_id 2 for calling a global function with example usage: _raise_type_error(x) without return types