Skip pt/flax equivalence tests in pytorch `bigbird` test file (#23040)

skip
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/big_bird/test_modeling_big_bird.py

@@ -20,7 +20,7 @@ import unittest
 from transformers import BigBirdConfig, is_torch_available
 from transformers.models.auto import get_values
 from transformers.models.big_bird.tokenization_big_bird import BigBirdTokenizer
-from transformers.testing_utils import require_torch, slow, torch_device
+from transformers.testing_utils import is_pt_flax_cross_test, require_torch, slow, torch_device
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
@@ -618,6 +618,20 @@ class BigBirdModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
         else:
             super().check_pt_flax_outputs(fx_outputs, pt_outputs, model_class, tol, name, attributes)
 
+    @is_pt_flax_cross_test
+    @unittest.skip(
+        reason="Current Pytorch implementation has bug with random attention -> it always uses it not matter if we are in eval/train mode"
+    )
+    def test_equivalence_flax_to_pt(self):
+        pass
+
+    @is_pt_flax_cross_test
+    @unittest.skip(
+        reason="Current Pytorch implementation has bug with random attention -> it always uses it not matter if we are in eval/train mode"
+    )
+    def test_equivalence_pt_to_flax(self):
+        pass
+
 
 @require_torch
 @slow