code: def create_and_check_distilbert_for_multiple_choice(
      self,
      config,
      input_ids,
      input_mask,
      sequence_labels,
      token_labels,
      choice_labels,
  ):
      config.num_choices = self.num_choices
      model = TFDistilBertForMultipleChoice(config)
      multiple_choice_inputs_ids = tf.tile(
          tf.expand_dims(input_ids, 1), (1, self.num_choices, 1)
      )
      multiple_choice_input_mask = tf.tile(
          tf.expand_dims(input_mask, 1), (1, self.num_choices, 1)
      )
      inputs = {
          "input_ids": multiple_choice_inputs_ids,
          "attention_mask": multiple_choice_input_mask,
      }
      result = model(inputs)
      self.parent.assertEqual(
          result.logits.shape, (self.batch_size, self.num_choices)
      )
  
imports: import unittest
  from transformers import DistilBertConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 7 for calling the TFDistilBertModelTester obj's underlying member method code with example usage: obj.create_and_check_distilbert_for_multiple_choice(config, input_ids, input_mask, sequence_labels, token_labels, choice_labels) without return types