code: def test_groups_bigger_than_dim_error(self):
      inputs = np.ones(shape=(2, 2, 2, 4))
      layer = layers.GroupNormalization(groups=5)
      with self.assertRaisesRegex(
          ValueError,
          "cannot be more than the number of channels",
      ):
          _ = layer(inputs)
  
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 3 for calling the GroupNormalizationTest obj's underlying member method code with example usage: obj.test_groups_bigger_than_dim_error() without return types