code: def create_and_check_model(self, config, pixel_values, labels):
      model = TFResNetModel(config=config)
      result = model(pixel_values)
      # expected last hidden states: B, C, H // 32, W // 32
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (
              self.batch_size,
              self.hidden_sizes[-1],
              self.image_size // 32,
              self.image_size // 32,
          ),
      )
  
imports: import inspect
  import unittest
  import numpy
  from transformers import ResNetConfig
  from transformers.testing_utils import require_tf, require_vision, slow
  from transformers.utils import cached_property, is_tf_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 4 for calling the TFResNetModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, pixel_values, labels) without return types