code: def test_saved_model_from_simple_save(self):
      with tf.compat.v1.Session() as sess:
          x = tf.placeholder(shape=(1, 3, 5), dtype=tf.float32)
          y = tf.nn.relu(x)
          inputs = {"x": x}
          outputs = {"y": y}
          tf.compat.v1.saved_model.simple_save(
              sess, self.saved_model_dir, inputs, outputs
          )
      mlmodel = converter.convert(self.saved_model_dir)
      assert mlmodel is not None
  
imports: import numpy
  import os
  import six
  import pytest
  import shutil
  import tempfile
  import coremltools
  import coremltools.converters
  from coremltools._deps import _IS_MACOS
  import coremltools.proto.FeatureTypes_pb2
  from coremltools import TensorType, ImageType, RangeDim, EnumeratedShapes
  from coremltools.converters.mil.testing_utils import random_gen
  from coremltools.converters.mil.frontend.tensorflow.converter import TFConverter
  from coremltools.converters.mil.frontend.tensorflow.test.testing_utils import frontend, make_tf_graph, run_compare_tf, get_tf_keras_io_names
label_desc: Use image node_id 5 for calling the TestTf1ModelFormats obj's underlying member method code with example usage: obj.test_saved_model_from_simple_save() without return types