code: def test_graph_predict():
      model = GraphConvModel(12, batch_size=50, mode="classification")
      mols = ["CCCCC", "CCCCCCCCC"]
      feat = ConvMolFeaturizer()
      X = feat.featurize(mols)
      assert (model.predict(NumpyDataset(X))).all() is True
  
imports: import os
  import numpy
  import pytest
  from scipy import io
  from deepchem.data import NumpyDataset, CSVLoader
  from deepchem.trans import DAGTransformer
  from deepchem.molnet import load_bace_classification, load_delaney
  from deepchem.feat import ConvMolFeaturizer
  from deepchem.metrics import Metric, roc_auc_score, mean_absolute_error
  from deepchem.utils.data_utils import download_url, get_data_dir
  from flaky import flaky
label_desc: Use image node_id 15 for calling a global function with example usage: test_graph_predict() without return types