code: def test_inference_no_head(self):
      model = DPRQuestionEncoder.from_pretrained(
          "facebook/dpr-question_encoder-single-nq-base",
          return_dict=False,
      )
      model.to(torch_device)
  
      input_ids = torch.tensor(
          [[101, 7592, 1010, 2003, 2026, 3899, 10140, 1029, 102]],
          dtype=torch.long,
          device=torch_device,
      )  # [CLS] hello, is my dog cute? [SEP]
      output = model(input_ids)[0]  # embedding shape = (1, 768)
      # compare the actual values for a slice.
      expected_slice = torch.tensor(
          [
              [
                  0.03236253,
                  0.12753335,
                  0.16818509,
                  0.00279786,
                  0.3896933,
                  0.24264945,
                  0.2178971,
                  -0.02335227,
                  -0.08481959,
                  -0.14324117,
              ]
          ],
          dtype=torch.float,
          device=torch_device,
      )
      self.assertTrue(
          torch.allclose(output[:, :10], expected_slice, atol=1e-4)
      )
  
imports: import tempfile
  import unittest
  from transformers import DPRConfig, 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, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the DPRModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types