docstr: Compile and fit conv model from _get_conv_model.
docstr_tok: ["Compile","and","fit","conv","model","from","_get_conv_model","."]
code: def _compile_and_fit_conv_model(self, model, nr_epochs=1):
      """Compile and fit conv model from _get_conv_model."""
      x_train = np.random.uniform(size=(500, 32, 32))
      y_train = np.random.randint(low=0, high=1024, size=(500,))
      model.compile(
          optimizer=tf.keras.optimizers.Adam(learning_rate=1e-4),
          loss=tf.keras.losses.SparseCategoricalCrossentropy(
              from_logits=True
          ),
          metrics=[
              tf.keras.metrics.SparseCategoricalAccuracy(
                  name="accuracy"
              )
          ],
      )
  
      model.fit(
          x_train, y_train, epochs=nr_epochs, batch_size=100, verbose=1
      )
  
      return model
  
imports: 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
  from tensorflow_model_optimization.python.core.quantization.keras import quantize
  from tensorflow_model_optimization.python.core.quantization.keras.collab_opts.cluster_preserve import default_8bit_cluster_preserve_quantize_scheme
  from tensorflow_model_optimization.python.core.quantization.keras.collab_opts.cluster_preserve.cluster_utils import strip_clustering_cqat
label_desc: Use image node_id 7 for calling the ClusterPreserveIntegrationTest obj's underlying member method code with example usage: obj._compile_and_fit_conv_model(model, nr_epochs) and returns: model