code: def test_groupnorm(self):
      self.run_layer_test(
          layers.GroupNormalization,
          init_kwargs={
              "gamma_regularizer": regularizers.L2(0.01),
              "beta_regularizer": regularizers.L2(0.01),
          },
          input_shape=(3, 4, 32),
          expected_output_shape=(3, 4, 32),
          expected_num_trainable_weights=2,
          expected_num_non_trainable_weights=0,
          expected_num_seed_generators=0,
          expected_num_losses=2,
          supports_masking=True,
      )
  
      self.run_layer_test(
          layers.GroupNormalization,
          init_kwargs={
              "groups": 4,
              "gamma_constraint": constraints.UnitNorm(),
              "beta_constraint": constraints.UnitNorm(),
          },
          input_shape=(3, 4, 4),
          expected_output_shape=(3, 4, 4),
          expected_num_trainable_weights=2,
          expected_num_non_trainable_weights=0,
          expected_num_seed_generators=0,
          expected_num_losses=0,
          supports_masking=True,
      )
  
file_path: keras/keras/layers/normalization/group_normalization_test.py
imports: import numpy
  import pytest
  from keras import constraints
  from keras import layers
  from keras import regularizers
  from keras import testing
label_desc: Use image node_id 1 for calling the GroupNormalizationTest obj's underlying member method code with example usage: obj.test_groupnorm() without return types