code: def test_convert_tf1_frozen_graph_to_milinternal(tmpdir):
      with tf.Graph().as_default() as graph:
          x = tf.placeholder(tf.float32, shape=(1, 2, 3), name="input")
          y = tf.nn.relu(x, name="output")
  
      model = ct.convert(graph, convert_to="milinternal")
      assert isinstance(model, ct.converters.mil.Program)
  
imports: import itertools
  import os
  import tempfile
  import numpy
  import pytest
  import coremltools
  from coremltools._deps import _HAS_TF_1, _HAS_TF_2, MSG_TF1_NOT_FOUND
  from coremltools.converters.mil.testing_reqs import backends, compute_units
  from coremltools.converters.mil.testing_utils import assert_cast_ops_count, assert_input_dtype, assert_ops_in_mil_program, assert_output_dtype, assert_prog_input_type, assert_prog_output_type, assert_spec_input_image_type, assert_spec_output_image_type, get_op_types_in_program, verify_prediction
  from coremltools.proto import FeatureTypes_pb2
  from coremltools.test.api.test_api_examples import TestInputs
label_desc: Use image node_id 5 for calling the TestTensorFlow1ConverterExamples obj's underlying member method code with example usage: obj.test_convert_tf1_frozen_graph_to_milinternal(tmpdir) without return types