code: def window_to_image(z_where, window_size, image_size, windows):
      n = windows.size(0)
      assert windows.size(1) == window_size**2, "Size mismatch."
      theta = expand_z_where(z_where)
      grid = F.affine_grid(
          theta, torch.Size((n, 1, image_size, image_size))
      )
      out = F.grid_sample(
          windows.view(n, 1, window_size, window_size), grid
      )
      return out.view(n, image_size, image_size)
  
imports: from collections import namedtuple
  import torch
  import torch.nn
  import torch.nn.functional
  from modules import MLP, Decoder, Encoder, Identity, Predict
  import pyro
  import pyro.distributions
label_desc: Use image node_id 4 for calling a global function with example usage: window_to_image(z_where, window_size, image_size, windows) and returns: out