code: def _preprocess(self, inputs: ep.Tensor) -> ep.Tensor:
      mean, std, flip_axis = self._preprocess_args
      x = inputs
      if flip_axis is not None:
          x = x.flip(axis=flip_axis)
      if mean is not None:
          x = x - mean
      if std is not None:
          x = x / std
      assert x.dtype == inputs.dtype
      return x
  
imports: from typing import TypeVar, Callable, Optional, Tuple, Any
  from abc import ABC, abstractmethod
  import copy
  import eagerpy
  from ..types import Bounds, BoundsInput, Preprocessing
  from ..devutils import atleast_kd
label_desc: Use image node_id 6 for calling the ModelWithPreprocessing obj's underlying member method code with example usage: obj._preprocess(inputs) and returns: x