code: def test_variable_length_sequences_run_backward_return_correctly_padded_outputs(
      self,
  ):
      sorted_tensor, sorted_sequence, _, _ = sort_batch_by_length(
          self.random_tensor, self.sequence_lengths
      )
      tensor = pack_padded_sequence(
          sorted_tensor, sorted_sequence.data.tolist(), batch_first=True
      )
      lstm = AugmentedLstm(10, 11, go_forward=False)
      output, _ = lstm(tensor)
      output_sequence, _ = pad_packed_sequence(output, batch_first=True)
  
      numpy.testing.assert_array_equal(
          output_sequence.data[1, 6:, :].numpy(), 0.0
      )
      numpy.testing.assert_array_equal(
          output_sequence.data[2, 4:, :].numpy(), 0.0
      )
      numpy.testing.assert_array_equal(
          output_sequence.data[3, 3:, :].numpy(), 0.0
      )
      numpy.testing.assert_array_equal(
          output_sequence.data[4, 2:, :].numpy(), 0.0
      )
  
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 3 for calling the TestAugmentedLSTM obj's underlying member method code with example usage: obj.test_variable_length_sequences_run_backward_return_correctly_padded_outputs() without return types