code: def test_forward_pass_runs_correctly(self):
      training_tensors = self.dataset.as_tensor_dict()
      output_dict = self.model(**training_tensors)
      class_probs = output_dict["class_probabilities"][0].data.numpy()
      numpy.testing.assert_almost_equal(
          numpy.sum(class_probs, -1),
          numpy.ones(class_probs.shape[0]),
          decimal=6,
      )
  
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 4 for calling the SemanticRoleLabelerTest obj's underlying member method code with example usage: obj.test_forward_pass_runs_correctly() without return types