Small fixes after merging with master.

Change-Id: I51ce035855ff8e82c339f1cd260b7f5891050ab7

Author: wwwind

tensorflow_model_optimization/python/core/clustering/keras/cluster_test.py

@@ -128,7 +128,6 @@ def setUp(self):
     self.keras_custom_layer = KerasCustomLayer()
     self.clusterable_layer = MyClusterableLayer(10)
 
-
     clustering_registry.ClusteringLookupRegistry.register_new_implementation(
         {
             CustomClusterableLayer: {

tensorflow_model_optimization/python/core/clustering/keras/clusterable_layer.py

@@ -55,10 +55,8 @@ def get_clusterable_algorithm(self, weight_name):  # pylint: disable=unused-argu
 
     The returned class should be derived from AbstractClusteringAlgorithm and
     implements the function get_pulling_indices.
-
     This function is used to provide a special lookup function for the custom
     weights.
-
     It reshapes and tile centroids the same way as the weights. This allows us
     to find pulling indices efficiently.
 

tensorflow_model_optimization/python/core/clustering/keras/clustering_registry.py

@@ -23,7 +23,6 @@
 AbstractClusteringAlgorithm = clustering_algorithm.AbstractClusteringAlgorithm
 
 
-
 class ConvolutionalWeightsCA(AbstractClusteringAlgorithm):
   """Look-ups for convolutional kernels, e.g. tensors with shape [B,W,H,C]."""
 
@@ -80,6 +79,7 @@ def get_pulling_indices(self, weight):
 
     return pulling_indices
 
+
 class ClusteringLookupRegistry(object):
   """Map of layers to strategy.