code: def test_reinit_modules_no_op(self):
      # Test the case where reinit_modules is None (default)
      preinit_weights = torch.cat(
          [
              # Comparing all weights of the model is rather complicated, so arbitrarily
              # compare the weights of attention module.
              layer.attention.output.dense.weight
              for layer in cached_transformers.get(
                  "bert-base-cased", True
              ).encoder.layer
          ]
      )
      postinit_weights = torch.cat(
          [
              layer.attention.output.dense.weight
              for layer in cached_transformers.get(
                  "bert-base-cased", True
              ).encoder.layer
          ]
      )
      assert torch.equal(postinit_weights, preinit_weights)
  
imports: import json
  import os
  import pytest
  import torch
  from allennlp.common import cached_transformers
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from transformers import AutoConfig, AutoModel
label_desc: Use image node_id 6 for calling the TestCachedTransformers obj's underlying member method code with example usage: obj.test_reinit_modules_no_op() without return types