code: def create_and_check_reader(
      self,
      config,
      input_ids,
      token_type_ids,
      input_mask,
      scorer_encoder_inputs,
      reader_inputs,
      sequence_labels,
      token_labels,
      choice_labels,
  ):
      model = RealmReader(config=config)
      model.to(torch_device)
      model.eval()
      relevance_score = floats_tensor([self.reader_beam_size])
      result = model(
          reader_inputs[0],
          attention_mask=reader_inputs[1],
          token_type_ids=reader_inputs[2],
          relevance_score=relevance_score,
      )
      self.parent.assertEqual(result.block_idx.shape, ())
      self.parent.assertEqual(result.candidate.shape, ())
      self.parent.assertEqual(result.start_pos.shape, ())
      self.parent.assertEqual(result.end_pos.shape, ())
  
imports: import copy
  import unittest
  import numpy
  from transformers import RealmConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 6 for calling the RealmModelTester obj's underlying member method code with example usage: obj.create_and_check_reader(config, input_ids, token_type_ids, input_mask, scorer_encoder_inputs, reader_inputs, sequence_labels, token_labels, choice_labels) without return types