code: def test_as_tensor_dict(self):
      dataset = Batch(self.instances)
      dataset.index_instances(self.vocab)
      padding_lengths = dataset.get_padding_lengths()
      tensors = dataset.as_tensor_dict(padding_lengths)
      text1 = (
          tensors["text1"]["tokens"]["tokens"].detach().cpu().numpy()
      )
      text2 = (
          tensors["text2"]["tokens"]["tokens"].detach().cpu().numpy()
      )
  
      numpy.testing.assert_array_almost_equal(
          text1, numpy.array([[2, 3, 4, 5, 6], [1, 3, 4, 5, 6]])
      )
      numpy.testing.assert_array_almost_equal(
          text2, numpy.array([[2, 3, 4, 1, 5, 6], [2, 3, 1, 0, 0, 0]])
      )
  
file_path: allennlp/tests/data/dataset_test.py
imports: import pytest
  import numpy
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Instance, Token, Vocabulary
  from allennlp.data.batch import Batch
  from allennlp.data.fields import TextField, LabelField
  from allennlp.data.token_indexers import SingleIdTokenIndexer
label_desc: Use image node_id 4 for calling the TestDataset obj's underlying member method code with example usage: obj.test_as_tensor_dict() without return types