code: def testApplySavedModelMultiInputs(self):
      export_dir = os.path.join(self.get_temp_dir(), "multi_inputs")
      self.save_model_with_multi_inputs(export_dir)
      with tf.compat.v1.Graph().as_default() as graph:
          with self.test_session(graph=graph) as sess:
              input_tensor_1 = tf.compat.v1.placeholder(
                  dtype=tf.int32, shape=[5], name="input_tensor_1"
              )
              input_tensor_2 = tf.compat.v1.placeholder(
                  dtype=tf.int32, shape=[5], name="input_tensor_2"
              )
              input_tensor_3 = tf.compat.v1.placeholder(
                  dtype=tf.int32, shape=[5], name="input_tensor_3"
              )
              inputs = {
                  "input_name1": input_tensor_1,
                  "input_name2": input_tensor_2,
                  "input_name3": input_tensor_3,
              }
              output_tensor = pretrained_models.apply_saved_model(
                  export_dir,
                  inputs,
                  [tf.saved_model.SERVING],
                  signature_name="my_signature_multi_input",
              )
              feed_dict = {
                  input_tensor_1: [2, 3, 4, 5, 6],
                  input_tensor_2: [1, 1, 1, 1, 1],
                  input_tensor_3: [1, 1, 1, 1, -1],
              }
              output_value = sess.run(
                  output_tensor, feed_dict=feed_dict
              )
              self.assertAllEqual(output_value, [5, 7, 9, 11, 11])
  
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 6 for calling the PretrainedModelsTest obj's underlying member method code with example usage: obj.testApplySavedModelMultiInputs() without return types