Add support for Apple's Depth-Pro

tests/models/depth_pro/test_image_processing_depth_pro.py

@@ -117,8 +117,8 @@ def test_image_processor_from_dict_with_kwargs(self):
         image_processor = self.image_processing_class.from_dict(self.image_processor_dict, size=42)
         self.assertEqual(image_processor.size, {"height": 42, "width": 42})
 
-    @is_flaky(
-        description="fast and slow, both processors use torch implementation, see: https://github.com/huggingface/transformers/issues/34920",
+    @unittest.skip(
+        reason="both processors (fast and slow) use torch for resizing, check: https://github.com/huggingface/transformers/issues/34920",
     )
     def test_fast_is_faster_than_slow(self):
-        super().test_fast_is_faster_than_slow()
+        pass