code: def create_and_check_model(self, config, pixel_values, labels):
      model = CvtModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(pixel_values)
      image_size = (self.image_size, self.image_size)
      height, width = image_size[0], image_size[1]
      for i in range(len(self.depth)):
          height = floor(
              (
                  (
                      height
                      + 2 * self.patch_padding[i]
                      - self.patch_sizes[i]
                  )
                  / self.patch_stride[i]
              )
              + 1
          )
          width = floor(
              (
                  (
                      width
                      + 2 * self.patch_padding[i]
                      - self.patch_sizes[i]
                  )
                  / self.patch_stride[i]
              )
              + 1
          )
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.embed_dim[-1], height, width),
      )
  
imports: import inspect
  import unittest
  from math import floor
  from transformers import CvtConfig
  from transformers.file_utils import cached_property, is_torch_available, is_vision_available
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 4 for calling the CvtModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, pixel_values, labels) without return types