TF DistilBERT integration tests (#9975)

* TF DistilBERT integration test

* Update test_modeling_tf_distilbert.py

tests/test_modeling_tf_distilbert.py

@@ -221,3 +221,26 @@ class TFDistilBertModelTest(TFModelTesterMixin, unittest.TestCase):
         for model_name in list(TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]):
             model = TFDistilBertModel.from_pretrained(model_name)
             self.assertIsNotNone(model)
+
+
+@require_tf
+class TFDistilBertModelIntegrationTest(unittest.TestCase):
+    @slow
+    def test_inference_masked_lm(self):
+        model = TFDistilBertModel.from_pretrained("distilbert-base-uncased")
+        input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
+        output = model(input_ids)[0]
+
+        expected_shape = [1, 6, 768]
+        self.assertEqual(output.shape, expected_shape)
+
+        expected_slice = tf.constant(
+            [
+                [
+                    [0.19261885, -0.13732955, 0.4119799],
+                    [0.22150156, -0.07422661, 0.39037204],
+                    [0.22756018, -0.0896414, 0.3701467],
+                ]
+            ]
+        )
+        tf.debugging.assert_near(output[:, :3, :3], expected_slice, atol=1e-4)