code: def check_labels_out_of_vocab(self, config, input_values, *args):
      model = Data2VecAudioForCTC(config)
      model.to(torch_device)
      model.train()
  
      input_values = input_values[:3]
  
      input_lengths = [input_values.shape[-1] // i for i in [4, 2, 1]]
      max_length_labels = model._get_feat_extract_output_lengths(
          torch.tensor(input_lengths)
      )
      labels = ids_tensor(
          (input_values.shape[0], max(max_length_labels) - 2),
          model.config.vocab_size + 100,
      )
  
      with self.parent.assertRaises(ValueError):
          model(input_values, labels=labels)
  
imports: import math
  import unittest
  import numpy
  from datasets import load_dataset
  from tests.test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
  from transformers import Data2VecAudioConfig, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_soundfile, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 13 for calling the Data2VecAudioModelTester obj's underlying member method code with example usage: obj.check_labels_out_of_vocab(config, input_values) without return types