code: def test_dynamic_shape(self):
      inputs = layers.Input((None, None, 3))
      outputs = layers.RandomZoom(
          height_factor=(0.5, 0.5),
          width_factor=(0.8, 0.8),
          interpolation="nearest",
          fill_mode="constant",
      )(inputs)
      model = models.Model(inputs, outputs)
      model.predict(np.random.random((1, 6, 6, 3)))
  
file_path: keras/keras/layers/preprocessing/random_zoom_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import models
  from keras import testing
label_desc: Use image node_id 5 for calling the RandomZoomTest obj's underlying member method code with example usage: obj.test_dynamic_shape() without return types