              Mocker for capturing method calls
          monkeypatch: :class:`pytest.MonkeyPatch`
              For patching different iterators for testing output
          """
          monkeypatch.setattr("lib.utils._FS_BACKEND", "cpu")  # We'll test AMD separately
  
          event_parse = event_parser_instance
          event_parse._parse_outputs = cast(MagicMock, mocker.MagicMock())  # type:ignore
          event_parse._add_amd_loss_labels = cast(MagicMock, mocker.MagicMock())  # type:ignore
          event_parse._process_event = cast(MagicMock, mocker.MagicMock())  # type:ignore
 
</s> remove         event_parse._add_amd_loss_labels = cast(MagicMock, mocker.MagicMock())  # type:ignore
 </s> add  </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  </s> remove         predicted: List[np.ndarray] = inbound if isinstance(inbound, list) else [inbound]
 </s> add         predicted: T.List[np.ndarray] = inbound if isinstance(inbound, list) else [inbound] </s> remove         retval = np.stack([cast(np.ndarray, feed_face.face)[..., :3]
 </s> add         retval = np.stack([T.cast(np.ndarray, feed_face.face)[..., :3] </s> remove             if self._backend != "amd":
                self._model.make_predict_function()
 </s> add             self._model.make_predict_function()
        monkeypatch.setattr("lib.utils._FS_BACKEND", "cpu")
              Mocker for capturing method calls
          monkeypatch: :class:`pytest.MonkeyPatch`
              For patching different iterators for testing output
          """
        monkeypatch.setattr("lib.utils._FS_BACKEND", "cpu")
  
          event_parse = event_parser_instance
          event_parse._parse_outputs = cast(MagicMock, mocker.MagicMock())  # type:ignore
          event_parse._add_amd_loss_labels = cast(MagicMock, mocker.MagicMock())  # type:ignore
          event_parse._process_event = cast(MagicMock, mocker.MagicMock())  # type:ignore
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 
tests/lib/gui/stats/event_reader_test.py