code: def test_bad_inception_v3_image_dimensions_get_custom_exception(
      self, width, height
  ):
      with self.test_session():
          images = tf.compat.v1.placeholder(
              tf.float32, (4, height, width, 3)
          )
          expected_message = (
              "Unsupported image dimensions.* model inception_v3.*w={} x h={}.*"
          ).format(width, height)
          with self.assertRaisesRegex(
              modeling.UnsupportedImageDimensionsError, expected_message
          ):
              self.model.create(images, 3, is_training=True)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tf_slim
  from deepvariant import dv_constants
  from deepvariant import dv_utils_using_clif
  from deepvariant import modeling
label_desc: Use image node_id 3 for calling the InceptionV3ModelTest obj's underlying member method code with example usage: obj.test_bad_inception_v3_image_dimensions_get_custom_exception(width, height) without return types