class_docstr: A custom non-clusterable layer class.
class_docstr_tok: ["A","custom","non-clusterable","layer","class","."]
code: def __init__(self, units=10):
      super(CustomLayer, self).__init__()
      self.add_weight(
          shape=(1, units), initializer="uniform", name="kernel"
      )
  
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 CustomLayer object from inherited base classes: layers with example: obj = CustomLayer(units)