  
  
  _PARAMS = ["center", "scale"]
  _VALUES = list(product([True, False], repeat=len(_PARAMS)))
  _IDS = ["{}[{}]".format("|".join([_PARAMS[idx] for idx, b in enumerate(v) if b]),
                          get_backend().upper()) for v in _VALUES]
  
  
  @pytest.mark.parametrize(_PARAMS, _VALUES, ids=_IDS)
  def test_adain_normalization(center, scale):
      """ Basic test for Ada Instance Normalization. """
 
</s> remove _IDS = ["{}[{}]".format("|".join([_PARAMS[idx] for idx, b in enumerate(v) if b]),
                        get_backend().upper()) for v in _VALUES]
 </s> add _IDS = [f"{'|'.join([_PARAMS[idx] for idx, b in enumerate(v) if b])}[{get_backend().upper()}]"
        for v in _VALUES] </s> remove         feeds: Dict[Literal["a", "b"], np.ndarray] = {}
 </s> add         feeds: T.Dict[Literal["a", "b"], np.ndarray] = {} </s> remove         retval: Optional[Callable[[np.ndarray],
                                  List[bytes]]] = None if test is None else self._writer.pre_encode
 </s> add         retval: T.Optional[T.Callable[[np.ndarray],
                           T.List[bytes]]] = None if test is None else self._writer.pre_encode </s> remove         monkeypatch.setattr("lib.utils._FS_BACKEND", "cpu")  # We'll test AMD separately
 </s> add         monkeypatch.setattr("lib.utils._FS_BACKEND", "cpu") </s> remove         self._pnet_input: Optional[List[np.ndarray]] = None
 </s> add         self._pnet_input: T.Optional[T.List[np.ndarray]] = None
_IDS = [f"{'|'.join([_PARAMS[idx] for idx, b in enumerate(v) if b])}[{get_backend().upper()}]"
        for v in _VALUES]
  
  
  _PARAMS = ["center", "scale"]
  _VALUES = list(product([True, False], repeat=len(_PARAMS)))
_IDS = [f"{'|'.join([_PARAMS[idx] for idx, b in enumerate(v) if b])}[{get_backend().upper()}]"
        for v in _VALUES]
_IDS = [f"{'|'.join([_PARAMS[idx] for idx, b in enumerate(v) if b])}[{get_backend().upper()}]"
        for v in _VALUES]
  
  
  @pytest.mark.parametrize(_PARAMS, _VALUES, ids=_IDS)
  def test_adain_normalization(center, scale):
      """ Basic test for Ada Instance Normalization. """
keep keep keep keep replace replace keep keep keep keep keep
 Remove plaidML support (#1325)

* Remove PlaidML reference from readme files

* Remove AMD option from installers

* remove amd requirements and update setup.py

* remove plaidml test from CI workflow

* gpustats: remove plaidml backend

* plaid removals:
  - faceswap.py - python version check
  - setup.cfg - plaidml typing ignore
  - lib.keras_utils - All plaid code
  - lib.launcher.py - All plaidml checks and configuration

* remove tf2.2 specific code from GUI event reader

* lib.model - remove all plaidml implementations

* plugins.extract - remove plaidml code

* plugins.train remove plaidml code

* lib.convert - remove plaidml code

* tools.model: remove plaidml code

* Remove plaidML tests from unit tests

* remove plaidml_utils and docsting cleanups

* Remove plaidML refs from configs

* fix keras imports 
tests/lib/model/normalization_test.py