code: def test_decode_runs_correctly(self):
      training_tensors = self.dataset.as_tensor_dict()
      output_dict = self.model(**training_tensors)
      decode_output_dict = self.model.decode(output_dict)
      lengths = get_lengths_from_binary_sequence_mask(
          decode_output_dict["mask"]
      ).data.tolist()
      # Hard to check anything concrete which we haven't checked in the above
      # test, so we'll just check that the tags are equal to the lengths
      # of the individual instances, rather than the max length.
      for prediction, length in izip(
          decode_output_dict["tags"], lengths
      ):
          assert len(prediction) == length
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import subprocess
  import os
  from flaky import flaky
  import pytest
  import numpy
  from allennlp.common.testing import ModelTestCase
  from allennlp.common.params import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.models.semantic_role_labeler import convert_bio_tags_to_conll_format
  from allennlp.models import Model
  from allennlp.models.semantic_role_labeler import write_to_conll_eval_file
  from allennlp.nn.util import get_lengths_from_binary_sequence_mask
  from io import open
label_desc: Use image node_id 5 for calling the SemanticRoleLabelerTest obj's underlying member method code with example usage: obj.test_decode_runs_correctly() without return types