code: def test_reader_inference(self):
      tokenizer = DPRReaderTokenizer.from_pretrained(
          "facebook/dpr-reader-single-nq-base"
      )
      model = DPRReader.from_pretrained(
          "facebook/dpr-reader-single-nq-base"
      )
      model.to(torch_device)
  
      encoded_inputs = tokenizer(
          questions="What is love ?",
          titles="Haddaway",
          texts="What Is Love is a song recorded by the artist Haddaway",
          padding=True,
          return_tensors="pt",
      )
      encoded_inputs.to(torch_device)
  
      outputs = model(**encoded_inputs)
  
      # compare the actual values for a slice.
      expected_start_logits = torch.tensor(
          [
              [
                  -10.3005,
                  -10.7765,
                  -11.4872,
                  -11.6841,
                  -11.9312,
                  -10.3002,
                  -9.8544,
                  -11.7378,
                  -12.0821,
                  -10.2975,
              ]
          ],
          dtype=torch.float,
          device=torch_device,
      )
  
      expected_end_logits = torch.tensor(
          [
              [
                  -11.0684,
                  -11.7041,
                  -11.5397,
                  -10.3465,
                  -10.8791,
                  -6.8443,
                  -11.9959,
                  -11.0364,
                  -10.0096,
                  -6.8405,
              ]
          ],
          dtype=torch.float,
          device=torch_device,
      )
      self.assertTrue(
          torch.allclose(
              outputs.start_logits[:, :10],
              expected_start_logits,
              atol=1e-4,
          )
      )
      self.assertTrue(
          torch.allclose(
              outputs.end_logits[:, :10], expected_end_logits, 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
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the DPRModelIntegrationTest obj's underlying member method code with example usage: obj.test_reader_inference() without return types