code: def testVariableCreationNoBias(self):
      conv_layer = tfkl.Conv2D(
          filters=self.num_conv_filters,
          kernel_size=(2, 2),
          kernel_initializer="ones",
          use_bias=False,
      )
      norm_layer = weight_norm.WeightNorm(conv_layer, name="norm_layer")
      norm_layer.build(self.conv_random_input.shape)
      self.assertLen(norm_layer.trainable_variables, 2)
  
imports: import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.layers import weight_norm
label_desc: Use image node_id 8 for calling the WeightNormTest obj's underlying member method code with example usage: obj.testVariableCreationNoBias() without return types