code: def window_reverse(
      windows, window_size: Tuple[int, int], H: int, W: int
  ):
      """
      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)
      """
      C = windows.shape[-1]
      x = windows.view(
          -1,
          H // window_size[0],
          W // window_size[1],
          window_size[0],
          window_size[1],
          C,
      )
      x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, H, W, C)
      return x
  
imports: import logging
  import math
  from typing import Callable, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import PatchEmbed, Mlp, DropPath, ClassifierHead, to_2tuple, to_ntuple, trunc_normal_, _assert, use_fused_attn, resize_rel_pos_bias_table, resample_patch_embed
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_function
  from ._manipulate import checkpoint_seq, named_apply
  from ._registry import generate_default_cfgs, register_model, register_model_deprecations
  from .vision_transformer import get_init_weights_vit
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