class_docstr: Integration tests for clustering RNN layers.
code: def _train(self, model):
      model.compile(
          loss="binary_crossentropy",
          optimizer="adam",
          metrics=["accuracy"],
      )
      model.fit(
          self.x_train,
          self.y_train,
          batch_size=self.batch_size,
          epochs=1,
      )
  
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 2 for calling the ClusterRNNIntegrationTest obj's underlying member method code with example usage: obj._train(model) without return types