class_docstr: Keras custom layer.
  
  Custom layer derived from ClusterableLayer provides implementation
  of the clustering algorithm.
class_docstr_tok: ["Keras","custom","layer",".","Custom","layer","derived","from","ClusterableLayer","provides","implementation","of","the","clustering","algorithm","."]
code: def __init__(self, units=10):
      super(KerasCustomLayerClusterableInvalid, self).__init__()
      self.units = units
  
imports: from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import clusterable_layer
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_registry
  from tensorflow_model_optimization.python.core.clustering.keras.cluster_config import GradientAggregation
label_desc: Use image node_id 1 to create a new KerasCustomLayerClusterableInvalid object from inherited base classes: keras.layers, clusterable_layer with example: obj = KerasCustomLayerClusterableInvalid(units)