code: def __init__(self, checkpoint_wrapper: CheckpointWrapper) -> None:
      super().__init__()
      ffn = nn.Sequential(
          nn.Linear(3, 3),
          # Use a nn.Dropout layer to test RNG (random number generator) state save/restore
          nn.Dropout(p=0.5),
          LinearForTesting(3, 3),
          nn.Linear(3, 3),
      )
      self.ffn = checkpoint_wrapper.wrap_module(ffn)
  
imports: import torch
  import torch.nn
  import pytest
  from allennlp.common.params import Params
  from allennlp.common.testing import multi_device
  from allennlp.nn.checkpoint.checkpoint_wrapper import CheckpointWrapper, TorchCheckpointWrapper
label_desc: Use image node_id 1 to create a new BasicModule object from inherited base classes: nn with example: obj = BasicModule(checkpoint_wrapper)