Integration test for electra model (#10073)

tests/test_modeling_electra.py

@@ -344,3 +344,19 @@ class ElectraModelTest(ModelTesterMixin, unittest.TestCase):
         for model_name in ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
             model = ElectraModel.from_pretrained(model_name)
             self.assertIsNotNone(model)
+
+
+@require_torch
+class ElectraModelIntegrationTest(unittest.TestCase):
+    @slow
+    def test_inference_no_head_absolute_embedding(self):
+        model = ElectraForPreTraining.from_pretrained("google/electra-small-discriminator")
+        input_ids = torch.tensor([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]])
+        output = model(input_ids)[0]
+        expected_shape = torch.Size((1, 11))
+        self.assertEqual(output.shape, expected_shape)
+        expected_slice = torch.tensor(
+            [[-8.9253, -4.0305, -3.9306, -3.8774, -4.1873, -4.1280, 0.9429, -4.1672, 0.9281, 0.0410, -3.4823]]
+        )
+
+        self.assertTrue(torch.allclose(output, expected_slice, atol=1e-4))