code: def _model(self):
      inputs = tf.keras.layers.Input(shape=(1,))
      outputs = tf.keras.layers.Dense(1)(inputs)
      model = tf.keras.models.Model(inputs=inputs, outputs=outputs)
      model.compile(optimizer="Adam", loss="mse", metrics=["mae"])
      return model
  
imports: import json
  import os
  import tempfile
  from unittest import mock
  from absl import flags
  import numpy
  import tensorflow
  from tensorflow_cloud.tuner import cloud_fit_client
  from tensorflow_cloud.tuner import cloud_fit_remote
  from tensorflow_cloud.tuner import cloud_fit_utils
label_desc: Use image node_id 2 for calling the CloudFitRemoteTest obj's underlying member method code with example usage: obj._model() and returns: model