               losses.LInfNorm(), k_losses.mean_absolute_error, k_losses.mean_squared_error,
               k_losses.logcosh, losses.DSSIMObjective()]
  _LWIDS = ["GeneralizedLoss", "GradientLoss", "GMSDLoss", "LInfNorm", "mae", "mse", "logcosh",
            "DSSIMObjective"]
  _LWIDS = ["{}[{}]".format(loss, get_backend().upper()) for loss in _LWIDS]
  
  
  @pytest.mark.parametrize("loss_func", _LWPARAMS, ids=_LWIDS)
  def test_loss_wrapper(loss_func):
      """ Test penalized loss wrapper works as expected """
 
</s> remove _IDS = ["{}[{}]".format(loss, get_backend().upper()) for loss in _IDS]
 </s> add _IDS = [f"{loss}[{get_backend().upper()}]" for loss in _IDS] </s> remove _IDS = ["partial={}|bias={}[{}]".format(v[0], v[1], get_backend().upper())
        for v in _VALUES]
 </s> add _IDS = [f"partial={v[0]}|bias={v[1]}[{get_backend().upper()}]" for v in _VALUES] </s> remove         ret_boxes = list()
        ret_points = list()
 </s> add         ret_boxes = []
        ret_points = [] </s> remove                 ret.append(list())
 </s> add                 ret.append([]) </s> remove                 ret.append(list())
 </s> add                 ret.append([])
_LWIDS = [f"{loss}[{get_backend().upper()}]" for loss in _LWIDS]
               losses.LInfNorm(), k_losses.mean_absolute_error, k_losses.mean_squared_error,
               k_losses.logcosh, losses.DSSIMObjective()]
  _LWIDS = ["GeneralizedLoss", "GradientLoss", "GMSDLoss", "LInfNorm", "mae", "mse", "logcosh",
            "DSSIMObjective"]
_LWIDS = [f"{loss}[{get_backend().upper()}]" for loss in _LWIDS]
  
  
  @pytest.mark.parametrize("loss_func", _LWPARAMS, ids=_LWIDS)
  def test_loss_wrapper(loss_func):
      """ Test penalized loss wrapper works as expected """
keep keep keep keep replace keep keep keep keep keep
 Update all Keras Imports to be conditional (#1214)

* Remove custom keras importer

* first round keras imports fix

* launcher.py: Remove KerasFinder references

* 2nd round keras imports update (lib and extract)

* 3rd round keras imports update (train)

* remove KerasFinder from tests

* 4th round keras imports update (tests) 
tests/lib/model/losses_test.py