code: def test_prediction_failure(
      self, model_num_channel, input_num_channel
  ):
      # Confirm that imcompatible shape causes an issue.
      model = keras_modeling.inceptionv3(
          input_shape=(100, 221, model_num_channel),
          init_backbone_with_imagenet=False,
      )
      input_shape = (1, 100, 221, input_num_channel)
      x = np.random.uniform(size=input_shape)
      with self.assertRaisesRegex(
          ValueError,
          'Input 0 of layer "inceptionv3" is incompatible with the layer: ',
      ):
          _ = model.predict(
              tf.keras.applications.inception_v3.preprocess_input(x)
          )
  
imports: from typing import Tuple
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from deepvariant import dv_config
  from deepvariant import dv_constants
  from deepvariant import keras_modeling
  from third_party.nucleus.testing import test_utils
label_desc: Use image node_id 2 for calling the KerasModelingTest obj's underlying member method code with example usage: obj.test_prediction_failure(model_num_channel, input_num_channel) without return types