code: def test_apply_saved_transform(self):
      with tf.compat.v1.Graph().as_default() as graph:
          with tf.compat.v1.Session().as_default() as session:
              input_floats = tf.constant([1237.0])  # tf.float32
              input_features = {"x": input_floats}
              (
                  _,
                  transformed_features,
              ) = saved_transform_io.partially_apply_saved_transform_internal(
                  self._test_saved_model, input_features
              )
              self.assertEqual(["x_scaled"], list(transformed_features))
              result_tensor = transformed_features["x_scaled"]
              self.assertIsInstance(result_tensor, tf.Tensor)
  
              self.assertAllEqual(session.run(result_tensor), [247.0])
              self.assertEqual(
                  graph.get_tensor_by_name("Const:0"), input_floats
              )
              self.assertEqual(
                  graph.get_tensor_by_name("transform/truediv:0"),
                  result_tensor,
              )
  
imports: import os
  import tempfile
  import numpy
  import tensorflow
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import lookup_ops
label_desc: Use image node_id 2 for calling the SavedTransformIOTest obj's underlying member method code with example usage: obj.test_apply_saved_transform() without return types