code: def check_hidden_states_output(
      self, inputs_dict, config, model_class, image_size
  ):
      model = model_class(config)
      model.to(torch_device)
      model.eval()
  
      with torch.no_grad():
          outputs = model(
              **self._prepare_for_class(inputs_dict, model_class)
          )
  
      hidden_states = outputs.hidden_states
  
      expected_num_layers = getattr(
          self.model_tester,
          "expected_num_hidden_layers",
          len(self.model_tester.depths) + 1,
      )
      self.assertEqual(len(hidden_states), expected_num_layers)
  
      # Dinat has a different seq_length
      patch_size = (
          config.patch_size
          if isinstance(config.patch_size, collections.abc.Iterable)
          else (config.patch_size, config.patch_size)
      )
  
      height = image_size[0] // patch_size[0]
      width = image_size[1] // patch_size[1]
  
      self.assertListEqual(
          list(hidden_states[0].shape[-3:]),
          [height, width, self.model_tester.embed_dim],
      )
  
      if model_class.__name__ != "DinatBackbone":
          reshaped_hidden_states = outputs.reshaped_hidden_states
          self.assertEqual(
              len(reshaped_hidden_states), expected_num_layers
          )
  
          (
              batch_size,
              num_channels,
              height,
              width,
          ) = reshaped_hidden_states[0].shape
          reshaped_hidden_states = (
              reshaped_hidden_states[0]
              .view(batch_size, num_channels, height, width)
              .permute(0, 2, 3, 1)
          )
          self.assertListEqual(
              list(reshaped_hidden_states.shape[-3:]),
              [height, width, self.model_tester.embed_dim],
          )
  
imports: import collections
  import unittest
  from transformers import DinatConfig
  from transformers.testing_utils import require_natten, require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...test_backbone_common import BackboneTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 11 for calling the DinatModelTest obj's underlying member method code with example usage: obj.check_hidden_states_output(inputs_dict, config, model_class, image_size) without return types