Fix integration slow tests (#10670)

* PoC

* Fix slow tests for the PT1.8 Embedding problem

tests/test_modeling_deberta_v2.py

@@ -13,12 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-
-import random
 import unittest
 
-import numpy as np
-
 from transformers import is_torch_available
 from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
 
@@ -275,16 +271,13 @@ class DebertaV2ModelIntegrationTest(unittest.TestCase):
 
     @slow
     def test_inference_no_head(self):
-        random.seed(0)
-        np.random.seed(0)
-        torch.manual_seed(0)
-        torch.cuda.manual_seed_all(0)
         model = DebertaV2Model.from_pretrained("microsoft/deberta-v2-xlarge")
 
         input_ids = torch.tensor([[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]])
-        output = model(input_ids)[0]
+        attention_mask = torch.tensor([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
+        output = model(input_ids, attention_mask=attention_mask)[0]
         # compare the actual values for a slice.
         expected_slice = torch.tensor(
-            [[[-0.2913, 0.2647, 0.5627], [-0.4318, 0.1389, 0.3881], [-0.2929, -0.2489, 0.3452]]]
+            [[[0.2356, 0.1948, 0.0369], [-0.1063, 0.3586, -0.5152], [-0.6399, -0.0259, -0.2525]]]
         )
-        self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4), f"{output[:, :3, :3]}")
+        self.assertTrue(torch.allclose(output[:, 1:4, 1:4], expected_slice, atol=1e-4), f"{output[:, 1:4, 1:4]}")