Integration test for mobilebert (#9978)

tests/test_modeling_tf_mobilebert.py

@@ -319,3 +319,26 @@ class TFMobileBertModelTest(TFModelTesterMixin, unittest.TestCase):
         for model_name in ["google/mobilebert-uncased"]:
             model = TFMobileBertModel.from_pretrained(model_name)
             self.assertIsNotNone(model)
+
+
+@require_tf
+class TFMobileBertModelIntegrationTest(unittest.TestCase):
+    @slow
+    def test_inference_masked_lm(self):
+        model = TFMobileBertForPreTraining.from_pretrained("google/mobilebert-uncased")
+        input_ids = tf.constant([[0, 1, 2, 3, 4, 5]])
+        output = model(input_ids)[0]
+
+        expected_shape = [1, 6, 30522]
+        self.assertEqual(output.shape, expected_shape)
+
+        expected_slice = tf.constant(
+            [
+                [
+                    [-4.5919547, -9.248295, -9.645256],
+                    [-6.7306175, -6.440284, -6.6052837],
+                    [-7.2743506, -6.7847915, -6.024673],
+                ]
+            ]
+        )
+        tf.debugging.assert_near(output[:, :3, :3], expected_slice, atol=1e-4)