code: def test_inference_no_head(self):
      model = LayoutLMv2Model.from_pretrained(
          "microsoft/layoutlmv2-base-uncased"
      ).to(torch_device)
  
      (
          input_ids,
          bbox,
          image,
          attention_mask,
          token_type_ids,
      ) = prepare_layoutlmv2_batch_inputs()
  
      # forward pass
      outputs = model(
          input_ids=input_ids.to(torch_device),
          bbox=bbox.to(torch_device),
          image=image.to(torch_device),
          attention_mask=attention_mask.to(torch_device),
          token_type_ids=token_type_ids.to(torch_device),
      )
  
      # verify the sequence output
      expected_shape = torch.Size(
          (
              2,
              input_ids.shape[1]
              + model.config.image_feature_pool_shape[0]
              * model.config.image_feature_pool_shape[1],
              model.config.hidden_size,
          )
      )
      self.assertEqual(outputs.last_hidden_state.shape, expected_shape)
  
      expected_slice = torch.tensor(
          [
              [-0.1087, 0.0727, -0.3075],
              [0.0799, -0.0427, -0.0751],
              [-0.0367, 0.0480, -0.1358],
          ],
          device=torch_device,
      )
      self.assertTrue(
          torch.allclose(
              outputs.last_hidden_state[0, :3, :3],
              expected_slice,
              atol=1e-3,
          )
      )
  
      # verify the pooled output
      expected_shape = torch.Size((2, model.config.hidden_size))
      self.assertEqual(outputs.pooler_output.shape, expected_shape)
  
imports: import os
  import random
  import tempfile
  import unittest
  from transformers.testing_utils import require_detectron2, require_torch, require_torch_multi_gpu, slow, torch_device
  from transformers.utils import is_detectron2_available, is_torch_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the LayoutLMv2ModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types