code: def copy_buffers(src_model, dest_model):
      src_buffers = list(src_model.buffers())
      dest_buffers = list(dest_model.buffers())
  
      cc = 0
      for bb, buffer in enumerate(src_buffers):
          cond = False
          while (
              not cond
          ):  # antialiasing adds buffers, so these lists won't match
              cond = buffer.shape == dest_buffers[cc].shape
              cc += 1
              if cc == len(dest_buffers) and not cond:
                  raise ValueError(
                      "Could not find matching buffer in [dest_model]"
                  )
          with torch.no_grad():
              dest_buffers[cc - 1][...] = buffer[...]
  
imports: import torch
label_desc: Use image node_id 2 for calling a global function with example usage: copy_buffers(src_model, dest_model) without return types