code: def window_reverse(windows, window_size, H, W):
      """
      Args:
          windows: (num_windows*B, window_size, window_size, C)
          window_size (int): Window size
          H (int): Height of image
          W (int): Width of image
      Returns:
          x: (B, H, W, C)
      """
      B = int(windows.shape[0] / (H * W / window_size / window_size))
      x = windows.view(
          B,
          H // window_size,
          W // window_size,
          window_size,
          window_size,
          -1,
      )
      x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
      return x
  
imports: import os
  import logging
  import torch
  import torch.nn
  import torch.nn.functional
  from functools import partial
  import torch.distributed
  from torch.nn.init import trunc_normal_
  from megatron.model.transformer import DropPath
  from megatron import get_args
  from megatron.model import LayerNorm
  import numpy
  from math import sqrt
label_desc: Use image node_id 2 for calling a global function with example usage: window_reverse(windows, window_size, H, W) and returns: x