code: def __init__(self) -> None:
      super().__init__()
      self.ff1 = FeedForward()
      self.ff2 = FeedForward()
      # Add a buffer to make sure these are handled correctly. We don't actually
      # do anything with this though.
      self.register_buffer("buffer", torch.randn(4, 4))
  
imports: import os
  from os import PathLike
  from typing import Union, Dict, Optional
  import torch
  from torch.cuda import amp
  from torch.testing import assert_allclose
  import pytest
  from allennlp.common.testing import AllenNlpTestCase, run_distributed_test, requires_multi_gpu
  from allennlp.nn.util import load_state_dict_distributed
  from allennlp.nn.parallel import FairScaleFsdpAccelerator, FairScaleFsdpWrappedModel, ShardedModuleMixin
label_desc: Use image node_id 1 to create a new Encoder object from inherited base classes: torch.nn with example: obj = Encoder()