diff --git a/test/test_tensordict.py b/test/test_tensordict.py
index a8f84214f..2258131b7 100644
--- a/test/test_tensordict.py
+++ b/test/test_tensordict.py
@@ -348,7 +348,9 @@ def test_consolidate(self, device, use_file, tmpdir, num_threads, nested, hetdty
         filename = Path(tmpdir) / "file.pkl"
         if not nested:
             torch.save(td, filename)
-            assert (td == torch.load(filename, weights_only=False)).all(), td_c.to_dict()
+            assert (
+                td == torch.load(filename, weights_only=False)
+            ).all(), td_c.to_dict()
         else:
             pass
             # wait for https://github.com/pytorch/pytorch/issues/129366 to be resolved
@@ -360,11 +362,15 @@ def test_consolidate(self, device, use_file, tmpdir, num_threads, nested, hetdty
         td_c = td.consolidate()
         torch.save(td_c, filename)
         if not nested:
-            assert (td == torch.load(filename, weights_only=False)).all(), td_c.to_dict()
+            assert (
+                td == torch.load(filename, weights_only=False)
+            ).all(), td_c.to_dict()
         else:
             assert all(
                 (_td == _td_c).all()
-                for (_td, _td_c) in zip(td.unbind(0), torch.load(filename, weights_only=False).unbind(0))
+                for (_td, _td_c) in zip(
+                    td.unbind(0), torch.load(filename, weights_only=False).unbind(0)
+                )
             ), td_c.to_dict()
 
     @pytest.mark.parametrize(