code: def test_forward_runs_with_non_bijective_mapping(self):
      elmo_fixtures_path = self.FIXTURES_ROOT / "elmo"
      options_file = unicode(elmo_fixtures_path / "options.json")
      weight_file = unicode(elmo_fixtures_path / "lm_weights.hdf5")
      params = Params(
          {
              "words": {
                  "type": "embedding",
                  "num_embeddings": 20,
                  "embedding_dim": 2,
              },
              "elmo": {
                  "type": "elmo_token_embedder",
                  "options_file": options_file,
                  "weight_file": weight_file,
              },
              "embedder_to_indexer_map": {
                  "words": ["words"],
                  "elmo": ["elmo", "words"],
              },
          }
      )
      token_embedder = BasicTextFieldEmbedder.from_params(
          self.vocab, params
      )
      inputs = {
          "words": (torch.rand(3, 6) * 20).long(),
          "elmo": (torch.rand(3, 6, 50) * 15).long(),
      }
      token_embedder(inputs)
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/text_field_embedders/basic_text_field_embedder_test.py
imports: from __future__ import division
  from __future__ import with_statement
  from __future__ import absolute_import
  import pytest
  import torch
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.data import Vocabulary
  from allennlp.modules.text_field_embedders import BasicTextFieldEmbedder
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 6 for calling the TestBasicTextFieldEmbedder obj's underlying member method code with example usage: obj.test_forward_runs_with_non_bijective_mapping() without return types