code: def test_incremental_training_smoke_torch():
      estimator = SimpleFeedForwardEstimator(
          prediction_length=6,
          trainer_kwargs=dict(max_epochs=2),
      )
  
      dataset = [
          {
              "start": pd.Period("2022-03-04 00", "1H"),
              "target": np.ones((100,), dtype=np.float32),
          },
          {
              "start": pd.Period("2022-04-05 00", "1H"),
              "target": np.ones((100,), dtype=np.float32),
          },
      ]
  
      predictor = estimator.train(dataset)
      _ = estimator.train_from(predictor, dataset)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_incremental_training_smoke_torch() without return types