code: def test_kernel_has_correct_value(self, kernel_multiplier):
      conv2d_layer = keras_layers.FanInScaledConv2D(
          filters=5,
          kernel_size=(2, 3),
          kernel_initializer="ones",
          kernel_multiplier=kernel_multiplier,
      )
  
      conv2d_layer(tf.ones((1, 8, 6, 4)))
      self.evaluate(tf.compat.v1.global_variables_initializer())
  
      # Checking if the 1 is correctly multiplied with sqrt(2/fan_in).
      self.assertAllClose(
          conv2d_layer.kernel,
          tf.ones(shape=(2, 3, 4, 5))
          * math.sqrt(2.0 / (2.0 * 3.0 * 4.0))
          * kernel_multiplier,
      )
  
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 2 for calling the FanInScaledConv2DTest obj's underlying member method code with example usage: obj.test_kernel_has_correct_value(kernel_multiplier) without return types