code: def test_Encoder_invalid_type():
      if not is_torch_1_12_1_plus:
          return
  
      with pytest.raises(ValueError):
          TorchAudioHuBERTPretrainEncoder(
              20,
              encoder_embed_dim=10,
              encoder_num_layers=1,
              encoder_num_heads=1,
              encoder_ff_interm_features=10,
              num_classes=10,
              final_dim=10,
              freeze_encoder_updates=False,
          )
  
imports: import pytest
  import torch
  from packaging.version import parse
  from espnet2.asr.encoder.hubert_encoder import TorchAudioHuBERTPretrainEncoder
label_desc: Use image node_id 4 for calling a global function with example usage: test_Encoder_invalid_type() without return types