code: def create_and_check_megatron_bert_for_token_classification(
      self,
      config,
      input_ids,
      token_type_ids,
      input_mask,
      sequence_labels,
      token_labels,
      choice_labels,
  ):
      config.num_labels = self.num_labels
      model = MegatronBertForTokenClassification(config=config)
      model.to(torch_device)
      model.eval()
      result = model(
          input_ids,
          attention_mask=input_mask,
          token_type_ids=token_type_ids,
          labels=token_labels,
      )
      self.parent.assertEqual(
          result.logits.shape,
          (self.batch_size, self.seq_length, self.num_labels),
      )
  
imports: import math
  import os
  import unittest
  from transformers import MegatronBertConfig, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 11 for calling the MegatronBertModelTester obj's underlying member method code with example usage: obj.create_and_check_megatron_bert_for_token_classification(config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels) without return types