code: def compute_patch_error(
      x: Tensor, y: Tensor, h: int, w: int
  ) -> Tensor:
      """Compute the absolute error between patches."""
      return torch.abs(x - y)[
          ..., h // 4 : -h // 4, w // 4 : -w // 4
      ].mean()
  
imports: import importlib.util
  import math
  from abc import ABC, abstractmethod
  from copy import deepcopy
  from itertools import product
  from typing import Any, Callable, Dict, Iterator, Optional, Sequence, Tuple, TypeVar, Union
  import torch
  from torch.autograd import gradcheck
  from torch.testing import assert_close
  from kornia.core import Device, Dtype, Tensor, eye, tensor
label_desc: Use image node_id 7 for calling a global function with example usage: compute_patch_error(x, y, h, w) and returns: torch