code: def save_checkpoint(self, checkpoint_dir):
      file_path = checkpoint_dir + "/model"
      self.model.save(file_path)
  
imports: from __future__ import print_function
  import argparse
  import numpy
  import tensorflow
  from tensorflow.keras.datasets import cifar10
  from tensorflow.keras.layers import Input, Dense, Dropout, Flatten
  from tensorflow.keras.layers import Convolution2D, MaxPooling2D
  from tensorflow.keras.models import Model, load_model
  from tensorflow.keras.preprocessing.image import ImageDataGenerator
  from ray import train, tune
  from ray.tune import Trainable
  from ray.tune.schedulers import PopulationBasedTraining
label_desc: Use image node_id 5 for calling the Cifar10Model obj's underlying member method code with example usage: obj.save_checkpoint(checkpoint_dir) without return types