code: def testApplyFunctionWithCheckpointTwoInputs(self):
      checkpoint = os.path.join(self.get_temp_dir(), "checkpoint_two")
      self.save_checkpoint_with_two_inputs(checkpoint)
      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="input1"
              )
              input2 = tf.compat.v1.placeholder(
                  dtype=tf.int64, shape=[3], name="input2"
              )
              output_tensor = (
                  pretrained_models.apply_function_with_checkpoint(
                      self.make_tensor_fn_two_inputs(),
                      [input1, input2],
                      checkpoint,
                  )
              )
              feed_dict = {input1: [1, 2, 3], input2: [3, 2, 1]}
              output_value = sess.run(
                  output_tensor, feed_dict=feed_dict
              )
              # [1, 2, 3] + [1, 2, 3] - [3, 2, 1] = [-1, 2, 5]
              self.assertAllEqual(output_value, [-1, 2, 5])
  
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 7 for calling the PretrainedModelsTest obj's underlying member method code with example usage: obj.testApplyFunctionWithCheckpointTwoInputs() without return types