Add common test for torch.export and fix some vision models (#35124)

* Add is_torch_greater_or_equal test decorator

* Add common test for torch.export

* Fix bit

* Fix focalnet

* Fix imagegpt

* Fix seggpt

* Fix swin2sr

* Enable torch.export test for vision models

* Enable test for video models

* Remove json

* Enable for hiera

* Enable for ijepa

* Fix detr

* Fic conditional_detr

* Fix maskformer

* Enable test maskformer

* Fix test for deformable detr

* Fix custom kernels for export in rt-detr and deformable-detr

* Enable test for all DPT

* Remove custom test for deformable detr

* Simplify test to use only kwargs for export

* Add comment

* Move compile_compatible_method_lru_cache to utils

* Fix beit export

* Fix deformable detr

* Fix copies data2vec<->beit

* Fix typos, update test to work with dict

* Add seed to the test

* Enable test for vit_mae

* Fix beit tests

* [run-slow] beit, bit, conditional_detr, data2vec, deformable_detr, detr, focalnet, imagegpt, maskformer, rt_detr, seggpt, swin2sr

* Add vitpose test

* Add textnet test

* Add dinov2 with registers

* Update tests/test_modeling_common.py

* Switch to torch.testing.assert_close

* Fix masformer

* Remove save-load from test

* Add dab_detr

* Add depth_pro

* Fix and test RT-DETRv2

* Fix dab_detr

tests/models/mobilevitv2/test_modeling_mobilevitv2.py

@@ -200,6 +200,7 @@ class MobileViTV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestC
     test_resize_embeddings = False
     test_head_masking = False
     has_attentions = False
+    test_torch_exportable = True
 
     def setUp(self):
         self.model_tester = MobileViTV2ModelTester(self)