code: def test_image_input_rangedim_infinite(
      self, backend, compute_unit, explicitly_set
  ):
      convert_to = backend[0]
      second_dim = (
          ct.RangeDim(upper_bound=-1)
          if explicitly_set
          else ct.RangeDim()
      )
      input_shape = ct.Shape(
          shape=(1, 2, second_dim, ct.RangeDim(1, 10, default=3))
      )
  
      if convert_to == "mlprogram":
          with pytest.raises(
              ValueError,
              match="For mlprogram, inputs with infinite upper_bound is not allowed. Please set "
              'upper_bound to a positive value in "RangeDim\(\)" for the "inputs" param in '
              "ct.convert\(\).",
          ):
              ct.convert(
                  self.model,
                  source="tensorflow",
                  inputs=[
                      ct.ImageType(shape=input_shape, name="input_1")
                  ],
                  convert_to=convert_to,
                  compute_units=compute_unit,
              )
      else:
          model = ct.convert(
              self.model,
              source="tensorflow",
              inputs=[ct.ImageType(shape=input_shape, name="input_1")],
              convert_to=convert_to,
              compute_units=compute_unit,
          )
          spec = model.get_spec()
          assert spec.description.input[0].type.imageType.width == 1
          assert spec.description.input[0].type.imageType.height == 2
          assert (
              spec.description.input[
                  0
              ].type.imageType.imageSizeRange.widthRange.lowerBound
              == 1
          )
          assert (
              spec.description.input[
                  0
              ].type.imageType.imageSizeRange.widthRange.upperBound
              == -1
          )
  
imports: import itertools
  import os
  import tempfile
  import numpy
  import PIL.Image
  import pytest
  import coremltools
  from coremltools._deps import _HAS_TF_2, _HAS_TORCH, MSG_TF2_NOT_FOUND, MSG_TORCH_NOT_FOUND
  from coremltools.converters.mil import Builder
  from coremltools.converters.mil.testing_reqs import backends, compute_units
label_desc: Use image node_id 9 for calling the TestFlexibleInputShapesTF obj's underlying member method code with example usage: obj.test_image_input_rangedim_infinite(backend, compute_unit, explicitly_set) without return types