  
  from tests.lib.model.layers_test import layer_test
  
  
  @pytest.mark.parametrize('dummy', [None], ids=[get_backend().upper()])
  def test_instance_normalization(dummy):  # pylint:disable=unused-argument
      """ Basic test for instance normalization. """
 
</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 from keras import regularizers, models, layers

 </s> add  </s> remove _IDS = ["{}[{}]".format(loss, get_backend().upper()) for loss in _IDS]
 </s> add _IDS = [f"{loss}[{get_backend().upper()}]" for loss in _IDS]
if get_backend() == "amd":
    from keras import regularizers, models, layers
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow.keras import regularizers, models, layers  # pylint:disable=import-error

  
  from tests.lib.model.layers_test import layer_test
  
if get_backend() == "amd":
    from keras import regularizers, models, layers
else:
    # Ignore linting errors from Tensorflow's thoroughly broken import system
    from tensorflow.keras import regularizers, models, layers  # pylint:disable=import-error

  
  @pytest.mark.parametrize('dummy', [None], ids=[get_backend().upper()])
  def test_instance_normalization(dummy):  # pylint:disable=unused-argument
      """ Basic test for instance normalization. """
keep keep add 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/normalization_test.py