class_docstr: "A custom layer with weights that is not clusterable.
code: def __init__(self, units=10):
      super(NonClusterableLayer, self).__init__()
      self.add_weight(
          shape=(1, units), initializer="uniform", name="kernel"
      )
  
imports: import itertools
  import os
  import tempfile
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import cluster
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_config
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_wrapper
  from tensorflow_model_optimization.python.core.clustering.keras import clusterable_layer
label_desc: Use image node_id 1 to create a new NonClusterableLayer object from inherited base classes: layers with example: obj = NonClusterableLayer(units)