code: def test_forward_applies_embedding_then_encoder(self):
      numpy_tensor = numpy.random.randint(6, size=(3, 4, 7))
      inputs = torch.from_numpy(numpy_tensor)
      encoder_output = self.encoder(inputs)
      reshaped_input = inputs.view(12, 7)
      embedded = self.embedding(reshaped_input)
      mask = (inputs != 0).long().view(12, 7)
      reshaped_manual_output = self.inner_encoder(embedded, mask)
      manual_output = reshaped_manual_output.view(3, 4, 3)
      assert_almost_equal(
          encoder_output.data.numpy(), manual_output.data.numpy()
      )
  
file_path: allennlp/tests/modules/token_embedders/token_characters_encoder_test.py
imports: from copy import deepcopy
  import numpy
  from numpy.testing import assert_almost_equal
  import torch
  from allennlp.common import Params
  from allennlp.data import Vocabulary
  from allennlp.modules import Seq2VecEncoder
  from allennlp.modules.token_embedders import Embedding, TokenCharactersEncoder
  from allennlp.nn import InitializerApplicator, Initializer
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 3 for calling the TestTokenCharactersEncoder obj's underlying member method code with example usage: obj.test_forward_applies_embedding_then_encoder() without return types