class_docstr: Integration tests for clustering RNN layers.
code: def _assertNbUniqueWeights(self, weight, expected_unique_weights):
      nr_unique_weights = len(np.unique(weight.numpy().flatten()))
      assert nr_unique_weights == expected_unique_weights
  
imports: import os
  import tempfile
  from absl.testing import parameterized
  import numpy
  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.experimental import cluster
label_desc: Use image node_id 4 for calling the ClusterRNNIntegrationTest obj's underlying member method code with example usage: obj._assertNbUniqueWeights(weight, expected_unique_weights) without return types