format normalization.py with black
@@ -354,8 +354,8 @@ class Normalization(base_preprocessing_layer.PreprocessingLayer):
# explicitly cast here to also allow integer inputs to be passed
inputs = tf.cast(inputs, self.compute_dtype)
if self.invert:
- return self.mean + (inputs * tf.maximum(
- tf.sqrt(self.variance), backend.epsilon())
+ return self.mean + (
+ inputs * tf.maximum(tf.sqrt(self.variance), backend.epsilon())
)
else:
return (inputs - self.mean) / tf.maximum(
