code: def test_reload_pretrained_parameters():
      if not is_torch_1_8_plus:
          return
      postencoder = HuggingFaceTransformersPostEncoder(
          400, "akreal/tiny-random-bert"
      )
      saved_param = postencoder.parameters().__next__().detach().clone()
  
      postencoder.parameters().__next__().data *= 0
      new_param = postencoder.parameters().__next__().detach().clone()
      assert not torch.equal(saved_param, new_param)
  
      postencoder.reload_pretrained_parameters()
      new_param = postencoder.parameters().__next__().detach().clone()
      assert torch.equal(saved_param, new_param)
  
imports: import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.postencoder.hugging_face_transformers_postencoder import HuggingFaceTransformersPostEncoder
label_desc: Use image node_id 3 for calling a global function with example usage: test_reload_pretrained_parameters() without return types