code: def test_forward_on_instances_ignores_loss_key_when_batched(self):
      batch_outputs = self.model.forward_on_instances(
          self.dataset.instances
      )
      for output in batch_outputs:
          assert not "loss" in list(output.keys())
  
      # It should be in the single batch case, because we special case it.
      single_output = self.model.forward_on_instance(
          self.dataset.instances[0]
      )
      assert "loss" in list(single_output.keys())
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  from flaky import flaky
  import numpy
  import pytest
  import torch
  from allennlp.common.testing import ModelTestCase
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.data.dataset_readers import DatasetReader
  from allennlp.data.iterators import DataIterator, BasicIterator
  from allennlp.models import Model
  from allennlp.training import Trainer
label_desc: Use image node_id 5 for calling the SimpleTaggerTest obj's underlying member method code with example usage: obj.test_forward_on_instances_ignores_loss_key_when_batched() without return types