class_docstr: "A custom layer with weights that is not clusterable.
code: def call(self, inputs):
      return tf.matmul(inputs, self.weights)
  
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 2 for calling the NonClusterableLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: tf