docstr: Check to make sure a forward pass on an ensemble of two identical copies of a model yields the same
  results as the model itself.
docstr_tok: ["Check","to","make","sure","a","forward","pass","on","an","ensemble","of","two","identical","copies","of","a","model","yields","the","same","results","as","the","model","itself","."]
code: def test_forward_pass_runs_correctly(self):
      """
      Check to make sure a forward pass on an ensemble of two identical copies of a model yields the same
      results as the model itself.
      """
      bidaf_ensemble = BidafEnsemble([self.model, self.model])
  
      batch = Batch(self.instances)
      batch.index_instances(self.vocab)
      training_tensors = batch.as_tensor_dict()
  
      bidaf_output_dict = self.model(**training_tensors)
      ensemble_output_dict = bidaf_ensemble(**training_tensors)
  
      metrics = self.model.get_metrics(reset=True)
  
      # We've set up the data such that there's a fake answer that consists of the whole
      # paragraph.  _Any_ valid prediction for that question should produce an F1 of greater than
      # zero, while if we somehow haven't been able to load the evaluation data, or there was an
      # error with using the evaluation script, this will fail.  This makes sure that we've
      # loaded the evaluation data correctly and have hooked things up to the official evaluation
      # script.
      assert metrics["f1"] > 0
      assert torch.equal(
          ensemble_output_dict["best_span"],
          bidaf_output_dict["best_span"],
      )
      assert (
          ensemble_output_dict["best_span_str"]
          == bidaf_output_dict["best_span_str"]
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/models/reading_comprehension/bidaf_ensemble_test.py
imports: from __future__ import division
  from __future__ import absolute_import
  import numpy
  import torch
  from allennlp.common.testing import ModelTestCase
  from allennlp.data.dataset import Batch
  from allennlp.models.reading_comprehension.bidaf_ensemble import BidafEnsemble, ensemble
label_desc: Use image node_id 4 for calling the BidafEnsembleTest obj's underlying member method code with example usage: obj.test_forward_pass_runs_correctly() without return types