code: def test_output_shape_correct(self):
      input_tensor = tf.ones(shape=(2, 5, 5, 16))
      style = tf.ones(shape=(2, 48))
      demod_layer = keras_layers.DemodulatedConvolution(
          filters=32, kernel_size=3
      )
  
      output_tensor = demod_layer([input_tensor, style])
  
      self.assertSequenceEqual(output_tensor.shape, (2, 5, 5, 32))
  
imports: import math
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_graphics.projects.gan import keras_layers
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 1 for calling the DemodulatedConvolutionTest obj's underlying member method code with example usage: obj.test_output_shape_correct() without return types