code: def create_and_check_model(
      self, config, input_values, attention_mask
  ):
      model = WavLMModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(input_values, attention_mask=attention_mask)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.output_seq_length, self.hidden_size),
      )
  
imports: import math
  import unittest
  import pytest
  from datasets import load_dataset
  from transformers import WavLMConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the WavLMModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, input_values, attention_mask) without return types