code: def test_graph_conv_model_no_task():
      tasks, dataset, _, __ = get_dataset("classification", "GraphConv")
      batch_size = 10
      model = GraphConvModel(
          len(tasks),
          batch_size=batch_size,
          batch_normalize=False,
          mode="classification",
      )
      model.fit(dataset, nb_epoch=20)
      # predict datset with no y (ensured by tasks = [])
      bace_url = "https://deepchemdata.s3-us-west-1.amazonaws.com/datasets/bace.csv"
      download_url(url=bace_url, name="bace_tmp.csv")
      loader = CSVLoader(
          tasks=[], smiles_field="mol", featurizer=ConvMolFeaturizer()
      )
      td = loader.featurize(
          os.path.join(get_data_dir(), "bace_tmp.csv")
      )
      model.predict(td)
  
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 6 for calling a global function with example usage: test_graph_conv_model_no_task() without return types