code: def test_prediction(self, model_num_channel):
      model = keras_modeling.inceptionv3(
          input_shape=(100, 221, model_num_channel),
          init_backbone_with_imagenet=False,
      )
      input_shape = (1, 100, 221, model_num_channel)
      x = np.random.uniform(size=input_shape)
      y = model.predict(
          tf.keras.applications.inception_v3.preprocess_input(x)
      )
      expected_shape = (1, dv_constants.NUM_CLASSES)
      self.assertEqual(y.shape, expected_shape)
      self.assertTrue(np.all(y >= 0))
      self.assertTrue(np.all(y <= 1))
      self.assertAlmostEqual(np.sum(y), 1.0, delta=1e-4)
  
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 1 for calling the KerasModelingTest obj's underlying member method code with example usage: obj.test_prediction(model_num_channel) without return types