code: def save_checkpoint_with_two_inputs(self, checkpoint_path):
      test_tensor_fn = self.make_tensor_fn_two_inputs()
      with tf.compat.v1.Graph().as_default() as graph:
          with self.test_session(graph=graph) as sess:
              input1 = tf.compat.v1.placeholder(
                  dtype=tf.int64, shape=[3], name="myinputa"
              )
              input2 = tf.compat.v1.placeholder(
                  dtype=tf.int64, shape=[3], name="myinputb"
              )
              test_tensor_fn(input1, input2)
              saver = tf.compat.v1.train.Saver()
              sess.run(tf.compat.v1.global_variables_initializer())
              saver.save(sess, checkpoint_path)
  
file_path: transform/tensorflow_transform/pretrained_models_test.py
imports: import os
  import tensorflow
  from tensorflow_transform import pretrained_models
label_desc: Use image node_id 4 for calling the PretrainedModelsTest obj's underlying member method code with example usage: obj.save_checkpoint_with_two_inputs(checkpoint_path) without return types