code: def test_groupnorm_flat():
      # Check basic usage of groupnorm_flat
      # Testing for 1 == LayerNorm, 16 == GroupNorm, -1 == InstanceNorm
  
      groups = [-1, 16, 1]
      shape = (64,)
      for i in groups:
          model = _create_and_fit_sequential_model(
              GroupNormalization(groups=i), shape
          )
          assert hasattr(model.layers[0], "gamma")
          assert hasattr(model.layers[0], "beta")
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers.normalizations import FilterResponseNormalization
  from tensorflow_addons.layers.normalizations import GroupNormalization
  from tensorflow_addons.layers.normalizations import InstanceNormalization
label_desc: Use image node_id 11 for calling a global function with example usage: test_groupnorm_flat() without return types