code: def test_augmented_lstm_throws_error_on_non_packed_sequence_input(
      self,
  ):
      lstm = AugmentedLstm(3, 5)
      tensor = torch.rand([5, 7, 9])
      with pytest.raises(ConfigurationError):
          lstm(tensor)
  
imports: import pytest
  import numpy
  import torch
  import torch.nn.init
  from torch.nn.modules.rnn import LSTM
  from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.augmented_lstm import AugmentedLstm, AugmentedLSTMCell, BiAugmentedLstm
  from allennlp.nn import InitializerApplicator, Initializer
  from allennlp.nn.util import sort_batch_by_length
label_desc: Use image node_id 6 for calling the TestAugmentedLSTM obj's underlying member method code with example usage: obj.test_augmented_lstm_throws_error_on_non_packed_sequence_input() without return types