Added with torch.no_grad() to XLM-Roberta integration test (#21547)

* added with torch.no_grad() to the integration tests and applied make style

* added with torch.no_grad() to xlm roberta forward pass

---------
Co-authored-by: Bibi <Bibi@katies-mac.local>

tests/models/xlm_roberta/test_modeling_xlm_roberta.py

@@ -43,7 +43,7 @@ class XLMRobertaModelIntegrationTest(unittest.TestCase):
         #  xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')
         #  xlmr.eval()
         #  expected_output_values_last_dim = xlmr.extract_features(input_ids[0])[:, :, -1]
-
+        with torch.no_grad():
             output = model(input_ids)["last_hidden_state"].detach()
         self.assertEqual(output.shape, expected_output_shape)
         # compare the actual values for a slice of last dim
@@ -62,7 +62,7 @@ class XLMRobertaModelIntegrationTest(unittest.TestCase):
         #  xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.large')
         #  xlmr.eval()
         #  expected_output_values_last_dim = xlmr.extract_features(input_ids[0])[:, :, -1]
-
+        with torch.no_grad():
             output = model(input_ids)["last_hidden_state"].detach()
         self.assertEqual(output.shape, expected_output_shape)
         # compare the actual values for a slice of last dim