code: def test_trainining_network_disallows_hybrid():
      mx.rnd.seed(seed_state=1234)
  
      with pytest.raises(NotImplementedError):
          smodel = DeepTPPTrainingNetwork(
              num_marks=3, interval_length=2
          )
          smodel.hybridize()
  
file_path: gluonts/test/mx/model/tpp/test_deeptpp.py
imports: import mxnet
  import numpy
  import pytest
  from mxnet import nd
  from gluonts.mx.model.tpp.deeptpp._network import DeepTPPPredictionNetwork, DeepTPPTrainingNetwork
  from gluonts.mx.model.tpp.distribution import WeibullOutput
label_desc: Use image node_id 3 for calling a global function with example usage: test_trainining_network_disallows_hybrid() without return types