  !lib/gui
  !lib/gui/.cache/preview
  !lib/gui/.cache/icons
  !scripts
  !plugins/
  !plugins/*
  !plugins/extract/*
  !plugins/train/*
 
</s> remove def test_layer_normalization(center, scale):  # pylint:disable=unused-argument
 </s> add def test_adain_normalization(center, scale):
    """ Basic test for Ada Instance Normalization. """
    norm = normalization.AdaInstanceNormalization(center=center, scale=scale)
    shapes = [(4, 8, 8, 1280), (4, 1, 1, 1280), (4, 1, 1, 1280)]
    norm.build(shapes)
    expected_output_shape = norm.compute_output_shape(shapes)
    inputs = [layers.Input(shape=shapes[0][1:]),
              layers.Input(shape=shapes[1][1:]),
              layers.Input(shape=shapes[2][1:])]
    model = models.Model(inputs, norm(inputs))
    data = [10 * np.random.random(shape) for shape in shapes]

    actual_output = model.predict(data)
    actual_output_shape = actual_output.shape

    for expected_dim, actual_dim in zip(expected_output_shape,
                                        actual_output_shape):
        if expected_dim is not None:
            assert expected_dim == actual_dim


@pytest.mark.parametrize(_PARAMS, _VALUES, ids=_IDS)
def test_layer_normalization(center, scale): </s> remove from keras import regularizers
 </s> add import numpy as np </s> remove         self.data_format = K.normalize_data_format(data_format)
 </s> add         self.data_format = normalize_data_format(data_format)
!lib/model/*
  !lib/gui
  !lib/gui/.cache/preview
  !lib/gui/.cache/icons
!lib/model/*
  !scripts
  !plugins/
  !plugins/*
  !plugins/extract/*
  !plugins/train/*
keep keep add keep keep keep keep keep
 Unit tests - lib.model.normalization
  - __init__.py - Explicit imports (to fix pytests)
  - Add tests for all existing normalization layers
  - fix GroupNormalization for tensorflow backend 
.gitignore