code: def window_reverse(windows, window_size, H, W, C):
      """
      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
          C (int): Channels of image
      Returns:
          x: (B, H, W, C)
      """
      x = windows.reshape(
          [
              -1,
              H // window_size,
              W // window_size,
              window_size,
              window_size,
              C,
          ]
      )
      x = x.transpose([0, 1, 3, 2, 4, 5]).reshape([-1, H, W, C])
      return x
  
imports: import numpy
  import paddle
  import paddle.nn
  from medicalseg.cvlibs import manager, param_init
  from medicalseg.utils import load_pretrained_model
  from medicalseg.models.backbones.transformer_utils import DropPath, to_2tuple
label_desc: Use image node_id 2 for calling a global function with example usage: window_reverse(windows, window_size, H, W, C) and returns: x