          fan_out = np.sqrt(np.prod(shape))
      return fan_in, fan_out
  
  
  class ICNR(initializers.Initializer):  # pylint: disable=invalid-name,no-member
      """ ICNR initializer for checkerboard artifact free sub pixel convolution
  
      Parameters
      ----------
      initializer: :class:`keras.initializers.Initializer`
 
</s> remove                 configfile: Optional[str] = None) -> Dict[str, "ConfigValueType"]:
 </s> add                 configfile: T.Optional[str] = None) -> T.Dict[str, ConfigValueType]: </s> remove         return KerasModel(input_, var_x, name=f"fc_{self._side}")
 </s> add         return KModel(input_, var_x, name=f"fc_{self._side}") </s> remove         inputs: :class:`plaidml.tile.Value` or :class:`tf.Tensor`
 </s> add         inputs: :class:`tf.Tensor` </s> remove     def test__add_amd_loss_labels(self,
                                  event_parser_instance: _EventParser,
                                  mocker: pytest_mock.MockerFixture) -> None:
        """ Test _add_amd_loss_labels works correctly

        Parameters
        ----------
        event_parser_instance: :class:`lib.gui.analysis.event_reader._EventParser`
            The class instance to test
        mocker: :class:`pytest_mock.MockerFixture`
            Mocker for checking Session data
        """
        event_parse = event_parser_instance

        # Already collected
        assert not event_parse._cache._loss_labels
        event_parse._cache._loss_labels.extend(["label_a", "label_b"])
        event_parse._add_amd_loss_labels(1)
        assert not event_parse._loss_labels

        # New labels
        event_parse._cache._loss_labels = []
        mock_session = mocker.patch("lib.gui.analysis.Session")
        mock_session.get_loss_keys.return_value = ["label_c", "label_d"]
        assert not event_parse._cache._loss_labels
        event_parse._add_amd_loss_labels(1)
        assert event_parse._loss_labels == ["label_c", "label_d"]

 </s> add 
class ICNR(keras.initializers.Initializer):  # type:ignore[name-defined]
          fan_out = np.sqrt(np.prod(shape))
      return fan_in, fan_out
  
  
class ICNR(keras.initializers.Initializer):  # type:ignore[name-defined]
      """ ICNR initializer for checkerboard artifact free sub pixel convolution
  
      Parameters
      ----------
      initializer: :class:`keras.initializers.Initializer`
keep keep keep keep 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 
lib/model/initializers.py