code: def test_auto_image_nhwc_input_names(self):
      x_shape = (4, 5, 3)
  
      @make_tf_graph([x_shape])
      def build_model(x):
          return tf.nn.relu(x)
  
      model, inputs, outputs = build_model
  
      mlmodel = converter.convert(model, inputs=[ImageType()])
      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 7 for calling the TestTf1ModelInputsOutputs obj's underlying member method code with example usage: obj.test_auto_image_nhwc_input_names() and returns: tf