code: def test_RelationalGraphConvolution_config():
      rgcn_layer = RelationalGraphConvolution(
          units=16, num_relationships=5
      )
      conf = rgcn_layer.get_config()
  
      assert conf["units"] == 16
      assert conf["activation"] == "linear"
      assert conf["num_bases"] == 0
      assert conf["num_relationships"] == 5
      assert conf["use_bias"] == True
  
      assert conf["kernel_initializer"]["class_name"] == "GlorotUniform"
      assert conf["bias_initializer"]["class_name"] == "Zeros"
      assert conf["basis_initializer"]["class_name"] == "GlorotUniform"
      assert (
          conf["coefficient_initializer"]["class_name"]
          == "GlorotUniform"
      )
  
      assert conf["kernel_regularizer"] is None
      assert conf["bias_regularizer"] is None
      assert conf["basis_regularizer"] is None
      assert conf["coefficient_regularizer"] is None
  
      assert conf["kernel_constraint"] is None
      assert conf["bias_constraint"] is None
      assert conf["basis_constraint"] is None
      assert conf["coefficient_constraint"] is None
  
imports: import numpy
  from stellargraph.layer.rgcn import RelationalGraphConvolution, RGCN
  from stellargraph.mapper.full_batch_generators import RelationalFullBatchNodeGenerator
  import pytest
  from scipy import sparse
  from stellargraph.core.utils import normalize_adj
  import tensorflow
  from tensorflow import keras
  from tensorflow.keras import backend
  from tensorflow.keras.layers import Input, Lambda
  from stellargraph import StellarDiGraph, StellarGraph
  from stellargraph.layer.misc import SqueezedSparseConversion
  import pandas
  from ..test_utils.graphs import relational_create_graph_features
  from ..None import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: test_RelationalGraphConvolution_config() without return types