make transforms v2 get_params a staticmethod

test/test_prototype_transforms_consistency.py

@@ -663,6 +663,15 @@ def test_call_consistency(config, args_kwargs):
 def test_get_params_alias(config):
     assert config.prototype_cls.get_params is config.legacy_cls.get_params
 
+    if not config.args_kwargs:
+        return
+
+    args, kwargs = config.args_kwargs[0]
+    legacy_transform = config.legacy_cls(*args, **kwargs)
+    prototype_transform = config.prototype_cls(*args, **kwargs)
+
+    assert prototype_transform.get_params is legacy_transform.get_params
+
 
 @pytest.mark.parametrize(
     ("transform_cls", "args_kwargs"),

torchvision/prototype/transforms/_transform.py

@@ -67,7 +67,7 @@ def __init_subclass__(cls) -> None:
         # Since `get_params` is a `@staticmethod`, we have to bind it to the class itself rather than to an instance.
         # This method is called after subclassing has happened, i.e. `cls` is the subclass, e.g. `Resize`.
         if cls._v1_transform_cls is not None and hasattr(cls._v1_transform_cls, "get_params"):
-            cls.get_params = cls._v1_transform_cls.get_params  # type: ignore[attr-defined]
+            cls.get_params = staticmethod(cls._v1_transform_cls.get_params)  # type: ignore[attr-defined]
 
     def _extract_params_for_v1_transform(self) -> Dict[str, Any]:
         # This method is called by `__prepare_scriptable__` to instantiate the equivalent v1 transform from the current