code: def meta_adaptive_avg_pool2d_backward(
      grad_output: torch.Tensor,
      input: torch.Tensor,
  ):
      grad_input = torch.empty_like(input)
      return grad_input
  
imports: from typing import List, Optional, Union
  import torch
  from torch.utils._pytree import tree_map
label_desc: Use image node_id 5 for calling a global function with example usage: meta_adaptive_avg_pool2d_backward(grad_output, input) and returns: grad_input