code: def test_kernel_shape_correct(self):
      conv2d_layer = keras_layers.FanInScaledConv2D(
          filters=5, kernel_size=(2, 3)
      )
  
      conv2d_layer(tf.ones((1, 8, 6, 4)))
      self.evaluate(tf.compat.v1.global_variables_initializer())
  
      self.assertSequenceEqual(conv2d_layer.kernel.shape, (2, 3, 4, 5))
  
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 FanInScaledConv2DTest obj's underlying member method code with example usage: obj.test_kernel_shape_correct() without return types