code: def test_Encoder_reload_params():
      if not is_torch_1_12_1_plus:
          return
  
      encoder = TorchAudioHuBERTPretrainEncoder(
          20,
          encoder_embed_dim=16,
          encoder_num_layers=1,
          encoder_num_heads=1,
          encoder_ff_interm_features=16,
          num_classes=10,
          final_dim=10,
      )
      encoder.reload_pretrained_parameters()
  
imports: import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.encoder.hubert_encoder import TorchAudioHuBERTPretrainEncoder
label_desc: Use image node_id 3 for calling a global function with example usage: test_Encoder_reload_params() without return types