class_docstr: Tests of GAT class
class_docstr_tok: ["Tests","of","GAT","class"]
code: def test_gat_build_wrong_norm(self):
      G = example_graph(feature_size=self.F_in)
      gen = FullBatchNodeGenerator(G)
      with pytest.raises(ValueError):
          gat = GAT(
              layer_sizes=self.layer_sizes,
              activations=self.activations,
              attn_heads=self.attn_heads,
              generator=gen,
              bias=True,
              normalize="whatever",
          )
  
imports: import pytest
  import scipy.sparse
  import tensorflow
  from tensorflow import keras
  from tensorflow.keras import backend
  from tensorflow.keras.layers import Input
  from stellargraph.mapper import FullBatchNodeGenerator, FullBatchLinkGenerator, GraphSAGENodeGenerator
  from stellargraph.layer import *
  from ..test_utils.graphs import example_graph
  from ..None import test_utils
label_desc: Use image node_id 8 for calling the Test_GAT obj's underlying member method code with example usage: obj.test_gat_build_wrong_norm() without return types