code: def test_step(self, data):
      X, y = data
      mask = self.g.ndata["val_mask"]
      y_pred = self(X, training=False)
      self.compiled_loss(y[mask], y_pred[mask])
      self.compiled_metrics.update_state(y[mask], y_pred[mask])
      return {m.name: m.result() for m in self.metrics}
  
imports: import argparse
  import textwrap
  import tensorflow
  import tensorflow_addons
  from dgl.data import CiteseerGraphDataset, CoraGraphDataset, PubmedGraphDataset
  from dgl.nn.tensorflow.conv import SGConv
label_desc: Use image node_id 7 for calling the SGC obj's underlying member method code with example usage: obj.test_step(data) and returns: unknown