code: def test_transformers_too_short_utt():
      idim = 400
      postencoder = LengthAdaptorPostEncoder(idim, 2)
      x = torch.randn([2, 3, idim], requires_grad=True)
      x_lengths = torch.LongTensor([3, 2])
      with pytest.raises(Exception):
          y, y_lengths = postencoder(x, x_lengths)
  
imports: import pytest
  import torch
  from espnet2.asr.postencoder.length_adaptor_postencoder import LengthAdaptorPostEncoder
label_desc: Use image node_id 2 for calling a global function with example usage: test_transformers_too_short_utt() without return types