code: def test_inference_model(self):
      # Test exact values at the last hidden layer
      model = RemBertModel.from_pretrained("google/rembert")
      input_ids = torch.tensor([[312, 56498, 313, 2125, 313]])
      segment_ids = torch.tensor([[0, 0, 0, 1, 1]])
      output = model(
          input_ids,
          token_type_ids=segment_ids,
          output_hidden_states=True,
      )
  
      hidden_size = 1152
  
      expected_shape = torch.Size((1, 5, hidden_size))
      self.assertEqual(
          output["last_hidden_state"].shape, expected_shape
      )
  
      expected_implementation = torch.tensor(
          [
              [
                  [0.0754, -0.2022, 0.1904],
                  [-0.3354, -0.3692, -0.4791],
                  [-0.2314, -0.6729, -0.0749],
                  [-0.0396, -0.3105, -0.4234],
                  [-0.1571, -0.0525, 0.5353],
              ]
          ]
      )
  
      # Running on the original tf implementation gives slightly different results here.
      # Not clear why this variations is present
      # TODO: Find reason for discrepancy
      # expected_original_implementation = [[
      #     [0.07630594074726105, -0.20146065950393677, 0.19107051193714142],
      #     [-0.3405614495277405, -0.36971670389175415, -0.4808273911476135],
      #     [-0.22587086260318756, -0.6656315922737122, -0.07844287157058716],
      #     [-0.04145475849509239, -0.3077218234539032, -0.42316967248916626],
      #     [-0.15887849032878876, -0.054529931396245956, 0.5356100797653198]
      # ]]
  
      self.assertTrue(
          torch.allclose(
              output["last_hidden_state"][:, :, :3],
              expected_implementation,
              atol=1e-4,
          )
      )
  
imports: import unittest
  from transformers import is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the RemBertModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_model() without return types