Mark MobileNetV1ModelTest::test_batching_equivalence as flaky (#31258)

* Mark MobileNetV1ModelTest::test_batching_equivalence as flaky

* Add link to issue

* woops

tests/models/mobilenet_v1/test_modeling_mobilenet_v1.py

@@ -17,7 +17,7 @@
 import unittest
 
 from transformers import MobileNetV1Config
-from transformers.testing_utils import require_torch, require_vision, slow, torch_device
+from transformers.testing_utils import is_flaky, require_torch, require_vision, slow, torch_device
 from transformers.utils import cached_property, is_torch_available, is_vision_available
 
 from ...test_configuration_common import ConfigTester
@@ -214,6 +214,10 @@ class MobileNetV1ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
         model = MobileNetV1Model.from_pretrained(model_name)
         self.assertIsNotNone(model)
 
+    @is_flaky(description="is_flaky https://github.com/huggingface/transformers/pull/31258")
+    def test_batching_equivalence(self):
+        super().test_batching_equivalence()
+
 
 # We will verify our results on an image of cute cats
 def prepare_img():